Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BBC BROADCASTING\nPAYSLIP\nNAME: ANDREW SCOTT\nNRIC: SXXXX101A\nPAID DATE: 2025-12-28\nBASIC: 11000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 11500.00\n(cid:12) VILLAIN DEPT"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX101A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 11500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 500.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-1122334\nNAME: MARK GATISS\nDOB: 17/10/1966\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-1122334",
    "ID_Number_confidence_score": 99,
    "Name": "MARK GATISS",
    "Name_confidence_score": 99,
    "Date_of_Birth": "17/10/1966",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RIVENDELL HEALING\nINV #RH-991\nDATE: 03-FEB-2026\nPATIENT: HUGO WEAVING\nELVISH MEDICINE: $500.00\nGST: $45.00\nTOTAL: $545.00\nREMARKS: PATIENT IS IMMORTAL.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "545.00",
    "Amt_confidence_score": 99,
    "GST": "45.00",
    "GST_confidence_score": 94,
    "Remarks": "PATIENT IS IMMORTAL.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ELROND CLINIC\nMC NO: MC-LOTR\nNAME: CATE BLANCHETT\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. ELROND (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-05",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MIDDLE EARTH INS\nCLAIM FORM\nINSURED: VIGGO MORTENSEN\nCLAIMANT: VIGGO MORTENSEN\nDATE: 2025-05-15\nDETAILS: TOE FRACTURE FROM KICKING HELMET ON SET.\nWORKING DAYS: 7\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "VIGGO MORTENSEN",
    "Insured_confidence_score": 96,
    "Claimant": "VIGGO MORTENSEN",
    "Claimant_confidence_score": 96,
    "Details": "TOE FRACTURE FROM KICKING HELMET ON SET.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 7,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SHIRE PRODUCTIONS\nPAYSLIP\nNAME: ELIJAH WOOD\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 10000\nBONUS: 5000\nALLOWANCE: 500\nGROSS: 15500.00\n[FOOTER: PRECIOUS PAY]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 15500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF NEW ZEALAND\nID CARD\nID: NZ-1234567\nNAME: KARL URBAN\nDOB: 07-06-1972\nNATIONALITY: KIWI\n[LOGO: SILVER FERN]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "NZ-1234567",
    "ID_Number_confidence_score": 99,
    "Name": "KARL URBAN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07-06-1972",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "KIWI",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GOTHAM GENERAL\nBILL: GG-882\nDATE: 12/JAN/2026\nPATIENT: CHRISTIAN BALE\nCONSULTATION: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: PAID BY WAYNE FOUNDATION.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "272.50",
    "Amt_confidence_score": 99,
    "GST": "22.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY WAYNE FOUNDATION.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. CRANE CLINIC\nMC SERIAL: FEAR-01\nNAME: CILLIAN MURPHY\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: MC\n[ILLEGIBLE SIGNATURE]\nDR. CRANE (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2026-02-12",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-02-14",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DARK KNIGHT INS\nCLAIM FORM\nINSURED: TOM HARDY\nCLAIMANT: TOM HARDY\nDATE: 2025-06-14\nDETAILS: BACK INJURY FROM LIFTING HEAVY PROPS.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "TOM HARDY",
    "Insured_confidence_score": 96,
    "Claimant": "TOM HARDY",
    "Claimant_confidence_score": 96,
    "Details": "BACK INJURY FROM LIFTING HEAVY PROPS.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2025-06-14",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GOTHAM POLICE DEPT\nPAYSLIP\nNAME: GARY OLDMAN\nNRIC: SXXXX112G\nPAID DATE: 2025-11-30\nBASIC: 9000\nBONUS: 1000\nALLOWANCE: 200\nGROSS: 10200.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112G",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 10200.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 1000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 200.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nIDENTITY CARD\nID: US-9922110-A\nNAME: ANNE HATHAWAY\nDOB: 12/11/1982\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-A",
    "ID_Number_confidence_score": 99,
    "Name": "ANNE HATHAWAY",
    "Name_confidence_score": 98,
    "Date_of_Birth": "12/11/1982",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"METROPOLIS HEALTH\nBILL: MH-102\nDATE: 12/JAN/2026\nPATIENT: HENRY CAVILL\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY DAILY PLANET.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "327.00",
    "Amt_confidence_score": 99,
    "GST": "27.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY DAILY PLANET.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. KENT CLINIC\nMC SERIAL: SUP-552\nNAME: AMY ADAMS\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. JOR-EL (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KRYPTON INSURANCE\nCLAIM FORM\nINSURED: MICHAEL SHANNON\nCLAIMANT: MICHAEL SHANNON\nDATE: 2025-08-22\nDETAILS: EYE STRAIN FROM HEAT VISION OVERUSE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MICHAEL SHANNON",
    "Insured_confidence_score": 97,
    "Claimant": "MICHAEL SHANNON",
    "Claimant_confidence_score": 97,
    "Details": "EYE STRAIN FROM HEAT VISION OVERUSE.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DAILY PLANET PTE LTD\nPAYSLIP\nNAME: LAURENCE FISHBURNE\nNRIC: SXXXX007L\nPAID DATE: 2025-10-31\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 20500.00\n[FOOTER: NEWS DESK]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007L",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 20500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF KRYPTON\nID CARD\nID: KR-9988776-E\nNAME: RUSSELL CROWE\nDOB: 07/04/1964\nNATIONALITY: KRYPTONIAN\n[LOGO: HOUSE OF EL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "KR-9988776-E",
    "ID_Number_confidence_score": 99,
    "Name": "RUSSELL CROWE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07/04/1964",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "KRYPTONIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BEDOK SOUTH M3DICAL\nINV: BS-2026-991\nDATE: 10 JANUARY 2026\nPATIENT: TOM HIDDLESTON\n---------------------------\nCONSULTATION: $85.00\nBLOOD TEST: $120.00\nGST 9%: $18.45\nTOTAL: $223.45\nREMARKS: PAID BY NETS FLASH.\n[HANDWRITTEN: Verified by HR]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "10 JANUARY 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "223.45",
    "Amt_confidence_score": 99,
    "GST": "18.45",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY NETS FLASH.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LOKI'S CLINIC\nMC SERIAL: TVA-001\nNAME: OWEN WILSON\nNRIC: SXXXX552L\nUNFIT FROM: 2026-01-15 TO: 2026-01-16\nTYPE: MC\n[STAMP: VARIANT DETECTED]\nDR. MOBIUS (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-15",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-16",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TIMELINE INSURANCE\nCLAIM FORM #TVA-99\nINSURED: SOPHIA DI MARTINO\nCLAIMANT: SOPHIA DI MARTINO\nDATE: 12/11/2025\nDETAILS: WRIST SPRAIN FROM PRUNING STICK INCIDENT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SOPHIA DI MARTINO",
    "Insured_confidence_score": 97,
    "Claimant": "SOPHIA DI MARTINO",
    "Claimant_confidence_score": 97,
    "Details": "WRIST SPRAIN FROM PRUNING STICK INCIDENT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "12/11/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ASGARD PRODUCTIONS\nPAYSLIP\nNAME: CHRIS HEMSWORTH\nNRIC: SXXXX991H\nPAID DATE: 2026-01-25\nBASIC: 25000\nBONUS: 10000\nALLOWANCE: 2000\nGROSS: 37000.00\n[FOOTER: ROYALTY PAY]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX991H",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 37000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-0099881\nNAME: RICHARD E. GRANT\nDOB: 05/05/1957\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-0099881",
    "ID_Number_confidence_score": 99,
    "Name": "RICHARD E. GRANT",
    "Name_confidence_score": 99,
    "Date_of_Birth": "05/05/1957",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NEO RADIOLOGY\nINV: NR-5521\nDATE: 14-FEB-2026\nPATIENT: KEANU REEVES\nCONSULTATION: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: PAID BY MATRIX-LINK.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "272.50",
    "Amt_confidence_score": 99,
    "GST": "22.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY MATRIX-LINK.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SMITH CLINIC\nMC SERIAL: AG-001\nNAME: CARRIE-ANNE MOSS\nNRIC: SXXXX111M\nUNFIT FROM: 2026-01-10 TO: 2026-01-30\nTYPE: Hospitalization Leave\nDR. ORACLE (MCR 6612)\n[STAMP: SYSTEM REBOOT REQUIRED]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-30",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SIMULATION INSURANCE\nCLAIM FORM #S-202\nINSURED: LAURENCE FISHBURNE\nCLAIMANT: LAURENCE FISHBURNE\nDATE: 2025-11-14\nDETAILS: NECK STRAIN FROM REPETITIVE DODGING MOTIONS.\nWORKING DAYS: 6\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "LAURENCE FISHBURNE",
    "Insured_confidence_score": 98,
    "Claimant": "LAURENCE FISHBURNE",
    "Claimant_confidence_score": 98,
    "Details": "NECK STRAIN FROM REPETITIVE DODGING MOTIONS.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ZION TECH CORP\nPAYSLIP\nNAME: HUGO WEAVING\nNRIC: SXXXX001H\nPAID DATE: 2025-12-28\nBASIC: 15000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 15500.00\n(cid:12) SYSTEM ADMIN"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001H",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 15500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 500.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF GERMANY\nID CARD\nID: GER-772101\nNAME: DIANE KRUGER\nDOB: 15/07/1976\nNATIONALITY: DEUTSCH\n[LOGO: EAGLE CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "GER-772101",
    "ID_Number_confidence_score": 99,
    "Name": "DIANE KRUGER",
    "Name_confidence_score": 99,
    "Date_of_Birth": "15/07/1976",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "DEUTSCH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CENTRAL HEALTH CENTRE\nINV #CH-991\nDATE: 03-FEB-2026\nPATIENT: BRAD PITT\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: PATIENT ARRIVED LATE.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "130.80",
    "Amt_confidence_score": 99,
    "GST": "10.80",
    "GST_confidence_score": 94,
    "Remarks": "PATIENT ARRIVED LATE.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. TYLER CLINIC\nMC NO: MC-FIGHT\nNAME: EDWARD NORTON\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. DURDEN (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-05",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PAPER STREET INS\nCLAIM FORM\nINSURED: HELENA BONHAM CARTER\nCLAIMANT: HELENA BONHAM CARTER\nDATE: 2025-05-15\nDETAILS: BRUISING AFTER ACCIDENTAL FALL DOWN STAIRS.\nWORKING DAYS: 7\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "HELENA BONHAM CARTER",
    "Insured_confidence_score": 96,
    "Claimant": "HELENA BONHAM CARTER",
    "Claimant_confidence_score": 96,
    "Details": "BRUISING AFTER ACCIDENTAL FALL DOWN STAIRS.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 7,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"FIGHT PRODUCTIONS\nPAYSLIP\nNAME: JARED LETO\nNRIC: SXXXX992J\nPAID DATE: 2025-11-30\nBASIC: 11000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 11500.00\n[FOOTER: ANONYMOUS COPY]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992J",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 11500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-882100X\nNAME: MEAT LOAF\nDOB: 27-09-1947\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "MEAT LOAF",
    "Name_confidence_score": 99,
    "Date_of_Birth": "27-09-1947",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ALCATRAZ MEDICAL\nBILL: AM-992\nDATE: 12/JAN/2026\nPATIENT: SEAN CONNERY\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY UK EMBASSY.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "327.00",
    "Amt_confidence_score": 99,
    "GST": "27.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY UK EMBASSY.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MASON CLINIC\nMC SERIAL: ROCK-01\nNAME: NICOLAS CAGE\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. HUMMEL (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2026-02-12",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-02-14",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SAN FRANCISCO INS\nCLAIM FORM\nINSURED: ED HARRIS\nCLAIMANT: ED HARRIS\nDATE: 2025-06-14\nDETAILS: KNEE ACHE FROM CLIMBING OFFICE STAIRS.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ED HARRIS",
    "Insured_confidence_score": 96,
    "Claimant": "ED HARRIS",
    "Claimant_confidence_score": 96,
    "Details": "KNEE ACHE FROM CLIMBING OFFICE STAIRS.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2025-06-14",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BAY AREA LOGISTICS\nPAYSLIP\nNAME: MICHAEL BIEHN\nNRIC: SXXXX112B\nPAID DATE: 2025-11-30\nBASIC: 8500\nBONUS: 0\nALLOWANCE: 500\nGROSS: 9000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112B",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 9000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-12345678\nNAME: SEAN CONNERY\nDOB: 25-08-1930\nNATIONALITY: BRITISH\n[LOGO: ROYAL SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "SEAN CONNERY",
    "Name_confidence_score": 98,
    "Date_of_Birth": "25-08-1930",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"UPTOWN MEDICAL\nBILL: UM-102\nDATE: 12/JAN/2026\nPATIENT: ANNE HATHAWAY\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY PERSONAL AMEX.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "218.00",
    "Amt_confidence_score": 99,
    "GST": "18.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY PERSONAL AMEX.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MIRANDA CLINIC\nMC SERIAL: MC-552\nNAME: MERYL STREEP\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. PRIESTLY (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RUNWAY INSURANCE\nCLAIM FORM\nINSURED: EMILY BLUNT\nCLAIMANT: EMILY BLUNT\nDATE: 2025-08-22\nDETAILS: ANKLE TWIST FROM WALKING IN HIGH HEELS AT OFFICE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "EMILY BLUNT",
    "Insured_confidence_score": 97,
    "Claimant": "EMILY BLUNT",
    "Claimant_confidence_score": 97,
    "Details": "ANKLE TWIST FROM WALKING IN HIGH HEELS AT OFFICE.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RUNWAY MAGAZINE\nPAYSLIP\nNAME: STANLEY TUCCI\nNRIC: SXXXX007T\nPAID DATE: 2025-10-31\nBASIC: 12000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 14500.00\n[FOOTER: EDITORIAL STAFF]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007T",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 14500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-9922110-D\nNAME: ADRIAN GRENIER\nDOB: 10/07/1976\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-D",
    "ID_Number_confidence_score": 99,
    "Name": "ADRIAN GRENIER",
    "Name_confidence_score": 99,
    "Date_of_Birth": "10/07/1976",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TAMPINES EAST CLINIC\nINV: TEC-2026-001\nDATE: 10/Jan/26\nPATIENT: TOM HOLLAND\n---------------------------\nCONSULTATION: $45.00\nPHYSIO: $120.00\nGST 9%: $14.85\nTOTAL: $179.85\nREMARKS: DEPOSIT OF $50 DEDUCTED FROM TOTAL.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "10/Jan/26",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "179.85",
    "Amt_confidence_score": 99,
    "GST": "14.85",
    "GST_confidence_score": 95,
    "Remarks": "DEPOSIT OF $50 DEDUCTED FROM TOTAL.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. STRANGE MEDICAL\nMC SERIAL: SANCT-01\nNAME: BENEDICT CUMBERBATCH\nNRIC: SXXXX552S\nUNFIT FROM: 2026-01-15 TO: 2026-01-20\nTYPE: Hospitalization Leave\n[STAMP: MASTER OF MYSTIC ARTS]\nDR. WONG (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-15",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-20",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MULTIVERSE INSURANCE\nCLAIM FORM #MV-77\nINSURED: ELIZABETH OLSEN\nCLAIMANT: ELIZABETH OLSEN\nDATE: 12/11/2025\nDETAILS: MENTAL FATIGUE AND HEADACHES FROM REALITY WARPING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ELIZABETH OLSEN",
    "Insured_confidence_score": 97,
    "Claimant": "ELIZABETH OLSEN",
    "Claimant_confidence_score": 97,
    "Details": "MENTAL FATIGUE AND HEADACHES FROM REALITY WARPING.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "12/11/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"STARK INDUSTRIES\nPAYSLIP\nNAME: ROBERT DOWNEY JR\nNRIC: SXXXX991S\nPAID DATE: 2026-01-25\nBASIC: 50000\nBONUS: 20000\nALLOWANCE: 5000\nGROSS: 75000.00\n[FOOTER: I AM IRON MAN]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX991S",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 75000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 20000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-0011223\nNAME: GWYNETH PALTROW\nDOB: 27/09/1972\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-0011223",
    "ID_Number_confidence_score": 99,
    "Name": "GWYNETH PALTROW",
    "Name_confidence_score": 99,
    "Date_of_Birth": "27/09/1972",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PARKWAY RADIOLOGY\nINV: PR-7721\nDATE: 14-FEB-2026\nPATIENT: MARK RUFFALO\nGAMMA SCAN: $950.00\nGST: $85.50\nTOTAL: $1035.50\nREMARKS: PAID BY SHIELD FUND.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "1035.50",
    "Amt_confidence_score": 99,
    "GST": "85.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY SHIELD FUND.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. BANNER CLINIC\nMC SERIAL: HULK-01\nNAME: CHRIS EVANS\nNRIC: SXXXX111C\nUNFIT FROM: 2026-01-10 TO: 2026-01-15\nTYPE: OL\nDR. BRUCE (MCR 6612)\n[STAMP: STRENGTH RECOVERY]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-15",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"VIBRANIUM INSURANCE\nCLAIM FORM #V-102\nINSURED: CHADWICK BOSEMAN\nCLAIMANT: CHADWICK BOSEMAN\nDATE: 2025-11-14\nDETAILS: CLAW MARK REPAIR ON CEREMONIAL ARMOUR.\nWORKING DAYS: 6\n[STAMP: WAKANDA FOREVER]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CHADWICK BOSEMAN",
    "Insured_confidence_score": 98,
    "Claimant": "CHADWICK BOSEMAN",
    "Claimant_confidence_score": 98,
    "Details": "CLAW MARK REPAIR ON CEREMONIAL ARMOUR.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WAKANDA DESIGN GROUP\nPAYSLIP\nNAME: LETITIA WRIGHT\nNRIC: SXXXX001S\nPAID DATE: 2025-12-28\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 21000.00\n(cid:12) CHIEF TECH OFFICER"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001S",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 21000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 96,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF WAKANDA\nID CARD\nID: WAK-772101\nNAME: LUPITA NYONG'O\nDOB: 01/03/1983\nNATIONALITY: WAKANDAN\n[LOGO: PANTHER EMBLEM]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "WAK-772101",
    "ID_Number_confidence_score": 99,
    "Name": "LUPITA NYONG'O",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/03/1983",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "WAKANDAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"OUTER RIM MEDICAL\nINV #OR-991\nDATE: 03-FEB-2026\nPATIENT: PEDRO PASCAL\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY GALACTIC CREDITS.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "163.50",
    "Amt_confidence_score": 99,
    "GST": "13.50",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY GALACTIC CREDITS.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. GREEF CLINIC\nMC NO: MC-MANDO\nNAME: GINA CARANO\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. KARGA (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-05",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BOUNTY HUNTER INS\nCLAIM FORM\nINSURED: CARL WEATHERS\nCLAIMANT: CARL WEATHERS\nDATE: 2025-05-15\nDETAILS: LASER BURN ON LEFT SHOULDER DURING MISSION.\nWORKING DAYS: 7\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CARL WEATHERS",
    "Insured_confidence_score": 96,
    "Claimant": "CARL WEATHERS",
    "Claimant_confidence_score": 96,
    "Details": "LASER BURN ON LEFT SHOULDER DURING MISSION.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 7,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NEVARRO TRADING\nPAYSLIP\nNAME: ROSARIO DAWSON\nNRIC: SXXXX992R\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 15500.00\n[FOOTER: JEDI SERVICES]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992R",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 15500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NEW REPUBLIC ID\nID: NR-882100X\nNAME: KATEE SACKHOFF\nDOB: 08-04-1980\nNATIONALITY: MANDALORIAN\n[LOGO: MYTHOSAUR]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "NR-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "KATEE SACKHOFF",
    "Name_confidence_score": 99,
    "Date_of_Birth": "08-04-1980",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "MANDALORIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RIVIERA MEDICAL\nBILL: RM-992\nDATE: 12/JAN/2026\nPATIENT: DANIEL CRAIG\nCONSULTATION: $500.00\nGST: $45.00\nTOTAL: $545.00\nREMARKS: PAID BY MI6 DEBIT CARD.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "545.00",
    "Amt_confidence_score": 99,
    "GST": "45.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY MI6 DEBIT CARD.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. NO CLINIC\nMC SERIAL: 007-01\nNAME: ANA DE ARMAS\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. Q (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2026-02-12",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-02-14",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SPECTRE INSURANCE\nCLAIM FORM\nINSURED: RAMI MALEK\nCLAIMANT: RAMI MALEK\nDATE: 2025-06-14\nDETAILS: FACIAL SCAR TREATMENT AFTER LAB ACCIDENT.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RAMI MALEK",
    "Insured_confidence_score": 96,
    "Claimant": "RAMI MALEK",
    "Claimant_confidence_score": 96,
    "Details": "FACIAL SCAR TREATMENT AFTER LAB ACCIDENT.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2025-06-14",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"UNIVERSAL EXPORTS\nPAYSLIP\nNAME: LEA SEYDOUX\nNRIC: SXXXX112L\nPAID DATE: 2025-11-30\nBASIC: 12000\nBONUS: 3000\nALLOWANCE: 500\nGROSS: 15500.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112L",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 15500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 3000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF FRANCE\nID CARD\nID: FR-12345678\nNAME: LEA SEYDOUX\nDOB: 01-07-1985\nNATIONALITY: FRANCAISE\n[LOGO: MARIANNE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "FR-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "LEA SEYDOUX",
    "Name_confidence_score": 98,
    "Date_of_Birth": "01-07-1985",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "FRANCAISE",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"STRATFORD MEDICAL\nBILL: SM-102\nDATE: 12/JAN/2026\nPATIENT: FLORENCE PUGH\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY APPLE PAY.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "163.50",
    "Amt_confidence_score": 99,
    "GST": "13.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY APPLE PAY.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SHAKESPEARE CLINIC\nMC SERIAL: MC-552\nNAME: TIMOTHEE CHALAMET\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. HAMLET (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GLOBE THEATRE INS\nCLAIM FORM\nINSURED: SAOIRSE RONAN\nCLAIMANT: SAOIRSE RONAN\nDATE: 2025-08-22\nDETAILS: VOICE STRAIN FROM REPETITIVE MONOLOGUES.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SAOIRSE RONAN",
    "Insured_confidence_score": 97,
    "Claimant": "SAOIRSE RONAN",
    "Claimant_confidence_score": 97,
    "Details": "VOICE STRAIN FROM REPETITIVE MONOLOGUES.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LADY BIRD PRODUCTIONS\nPAYSLIP\nNAME: GRETA GERWIG\nNRIC: SXXXX007G\nPAID DATE: 2025-10-31\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: DIRECTOR RATE]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007G",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF IRELAND\nID CARD\nID: IE-9922110-C\nNAME: PAUL MESCAL\nDOB: 02/02/1996\nNATIONALITY: IRISH\n[LOGO: HARP SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IE-9922110-C",
    "ID_Number_confidence_score": 99,
    "Name": "PAUL MESCAL",
    "Name_confidence_score": 99,
    "Date_of_Birth": "02/02/1996",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "IRISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WOODLANDS INTEGRATED HEALTH\nINV: WIH-2026-772\nDATE: 12-JAN-2026\nPATIENT: CILLIAN MURPHY\n---------------------------\nCONSULTATION: $80.00\nMEDICATION: $45.50\nGST 9%: $11.30\nTOTAL: $136.80\nREMARKS: PATIENT CLAIMING VIA AIA.\n[HANDWRITTEN: Approved]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "136.80",
    "Amt_confidence_score": 99,
    "GST": "11.30",
    "GST_confidence_score": 95,
    "Remarks": "PATIENT CLAIMING VIA AIA.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. OPPENHEIMER CLINIC\nMC SERIAL: ATOM-01\nNAME: ROBERT DOWNEY JR\nNRIC: SXXXX112R\nUNFIT FROM: 2026-01-15 TO: 2026-01-16\nTYPE: MC\n[STAMP: TOP SECRET]\nDR. J. ROBERT (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-15",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-16",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LOS ALAMOS INSURANCE\nCLAIM FORM #LA-99\nINSURED: EMILY BLUNT\nCLAIMANT: EMILY BLUNT\nDATE: 10/12/2025\nDETAILS: EYE STRAIN FROM PROLONGED EXPOSURE TO BRIGHT LIGHT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "EMILY BLUNT",
    "Insured_confidence_score": 97,
    "Claimant": "EMILY BLUNT",
    "Claimant_confidence_score": 97,
    "Details": "EYE STRAIN FROM PROLONGED EXPOSURE TO BRIGHT LIGHT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "10/12/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MANHATTAN PROJECT LTD\nPAYSLIP JAN 2026\nNAME: MATT DAMON\nNRIC: SXXXX332M\nPAID DATE: 2026-01-25\nBASIC: 12000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 18000.00\n[FOOTER: GENERAL STAFF]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332M",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 18000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ITALY\nIDENTITY CARD\nID: IT-0099881\nNAME: FLORENCE PUGH\nDOB: 03/01/1996\nNATIONALITY: BRITISH\n[LOGO: ITALIAN EMBLEM]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IT-0099881",
    "ID_Number_confidence_score": 99,
    "Name": "FLORENCE PUGH",
    "Name_confidence_score": 99,
    "Date_of_Birth": "03/01/1996",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NORTH STAR RADIOLOGY\nINV: NS-5521\nDATE: 14-FEB-2026\nPATIENT: RYAN REYNOLDS\nBODY SCAN: $450.00\nGST: $40.50\nTOTAL: $490.50\nREMARKS: PAID BY VISA CONTACTLESS.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "490.50",
    "Amt_confidence_score": 99,
    "GST": "40.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA CONTACTLESS.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. POOL CLINIC\nMC SERIAL: DP-001\nNAME: HUGH JACKMAN\nNRIC: SXXXX111H\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. WILSON (MCR 6612)\n[STAMP: MAXIMUM EFFORT]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"X-INSURANCE GROUP\nCLAIM FORM #X-202\nINSURED: PATRICK STEWART\nCLAIMANT: PATRICK STEWART\nDATE: 2025-11-14\nDETAILS: MIGRAINE DUE TO TELEPATHIC INTERFERENCE.\nWORKING DAYS: 6\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "PATRICK STEWART",
    "Insured_confidence_score": 98,
    "Claimant": "PATRICK STEWART",
    "Claimant_confidence_score": 98,
    "Details": "MIGRAINE DUE TO TELEPATHIC INTERFERENCE.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"XAVIER ACADEMY\nPAYSLIP\nNAME: IAN MCKELLEN\nNRIC: SXXXX001M\nPAID DATE: 2025-12-28\nBASIC: 15000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 15500.00\n(cid:12) FACULTY HEAD"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001M",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 15500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 500.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF CANADA\nID CARD\nID: CAN-772101\nNAME: ELLIOT PAGE\nDOB: 21/02/1987\nNATIONALITY: CANADIAN\n[LOGO: MAPLE LEAF]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CAN-772101",
    "ID_Number_confidence_score": 99,
    "Name": "ELLIOT PAGE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "21/02/1987",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "CANADIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PARKWAY EAST MEDICAL\nINV #PE-991\nDATE: 03-FEB-2026\nPATIENT: TOM CRUISE\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY MISSION FUND.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "327.00",
    "Amt_confidence_score": 99,
    "GST": "27.00",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY MISSION FUND.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. HUNT CLINIC\nMC NO: MC-IMPOSSIBLE\nNAME: SIMON PEGG\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. BENJI (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-05",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"IMF INSURANCE\nCLAIM FORM\nINSURED: REBECCA FERGUSON\nCLAIMANT: REBECCA FERGUSON\nDATE: 2025-05-15\nDETAILS: RIB FRACTURE DURING HIGH-SPEED CHASE.\nWORKING DAYS: 7\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "REBECCA FERGUSON",
    "Insured_confidence_score": 96,
    "Claimant": "REBECCA FERGUSON",
    "Claimant_confidence_score": 96,
    "Details": "RIB FRACTURE DURING HIGH-SPEED CHASE.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 7,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"IMF OPERATIONS\nPAYSLIP\nNAME: VING RHAMES\nNRIC: SXXXX992V\nPAID DATE: 2025-11-30\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 20500.00\n[FOOTER: TECH SPECIALIST]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992V",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 20500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SWEDEN\nID CARD\nID: SE-882100X\nNAME: REBECCA FERGUSON\nDOB: 19-10-1983\nNATIONALITY: SWEDISH\n[LOGO: THREE CROWNS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "SE-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "REBECCA FERGUSON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "19-10-1983",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SWEDISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"JURASSIC MEDICAL\nBILL: JM-992\nDATE: 12/JAN/2026\nPATIENT: CHRIS PRATT\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY INGEN CORP.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "218.00",
    "Amt_confidence_score": 99,
    "GST": "18.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY INGEN CORP.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MALCOLM CLINIC\nMC SERIAL: DINO-01\nNAME: BRYCE DALLAS HOWARD\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. IAN (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2026-02-12",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-02-14",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ISLA NUBLAR INS\nCLAIM FORM\nINSURED: SAM NEILL\nCLAIMANT: SAM NEILL\nDATE: 2025-06-14\nDETAILS: SCRATCH FROM VELOCIRAPTOR ENCOUNTER.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SAM NEILL",
    "Insured_confidence_score": 96,
    "Claimant": "SAM NEILL",
    "Claimant_confidence_score": 96,
    "Details": "SCRATCH FROM VELOCIRAPTOR ENCOUNTER.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2025-06-14",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"INGEN BIOTECH\nPAYSLIP\nNAME: JEFF GOLDBLUM\nNRIC: SXXXX112G\nPAID DATE: 2025-11-30\nBASIC: 25000\nBONUS: 0\nALLOWANCE: 1000\nGROSS: 26000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112G",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-12345678\nNAME: LAURA DERN\nDOB: 10-02-1967\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "LAURA DERN",
    "Name_confidence_score": 98,
    "Date_of_Birth": "10-02-1967",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"OCEAN'S MEDICAL\nBILL: OM-102\nDATE: 12/JAN/2026\nPATIENT: GEORGE CLOONEY\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY CASINO CREDIT.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "163.50",
    "Amt_confidence_score": 99,
    "GST": "13.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CASINO CREDIT.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. RUSTY CLINIC\nMC SERIAL: MC-552\nNAME: BRAD PITT\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. RYAN (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LAS VEGAS INSURANCE\nCLAIM FORM\nINSURED: MATT DAMON\nCLAIMANT: MATT DAMON\nDATE: 2025-08-22\nDETAILS: HAND CRAMPS FROM REPETITIVE DEALING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MATT DAMON",
    "Insured_confidence_score": 97,
    "Claimant": "MATT DAMON",
    "Claimant_confidence_score": 97,
    "Details": "HAND CRAMPS FROM REPETITIVE DEALING.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BELLAGIO RESORTS\nPAYSLIP\nNAME: JULIA ROBERTS\nNRIC: SXXXX007J\nPAID DATE: 2025-10-31\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: VIP STAFF]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007J",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-9922110-C\nNAME: CASEY AFFLECK\nDOB: 12/08/1975\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-C",
    "ID_Number_confidence_score": 99,
    "Name": "CASEY AFFLECK",
    "Name_confidence_score": 99,
    "Date_of_Birth": "12/08/1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WOODLANDS HEALTH CAMPUS\nINV: WHC-8821\nDATE: 15-JAN-2026\nPATIENT: OSCAR ISAAC\n---------------------------\nCONSULTATION: $90.00\nLAB TESTS: $210.00\nGST 9%: $27.00\nTOTAL: $327.00\nREMARKS: BILL SENT TO CORPORATE SPONSOR.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "15-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "327.00",
    "Amt_confidence_score": 99,
    "GST": "27.00",
    "GST_confidence_score": 95,
    "Remarks": "BILL SENT TO CORPORATE SPONSOR.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. POE'S CLINIC\nMC NO: STAR-99\nNAME: JOHN BOYEGA\nNRIC: SXXXX551B\nUNFIT FOR DUTY FROM: 2026-01-20 TO: 2026-01-22\nTYPE: Sick Leave\n[STAMP: RESISTANCE MEDICAL]\nDR. FINN (MCR 7721)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 92,
    "From_Date": "2026-01-20",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-22",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GALAXY INSURANCE\nCLAIM FORM #GX-001\nINSURED: ADAM DRIVER\nCLAIMANT: ADAM DRIVER\nDATE: 12/12/2025\nDETAILS: BACK STRAIN FROM CARRYING HEAVY COSTUME EQUIPMENT.\nWORKING DAYS: 5\n[STAMP: URGENT EVALUATION]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ADAM DRIVER",
    "Insured_confidence_score": 97,
    "Claimant": "ADAM DRIVER",
    "Claimant_confidence_score": 97,
    "Details": "BACK STRAIN FROM CARRYING HEAVY COSTUME EQUIPMENT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "12/12/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LUCASFILM SERVICES\nPAYSLIP JAN 2026\nNAME: DAISY RIDLEY\nNRIC: SXXXX441D\nPAID DATE: 2026-01-25\nBASIC: 22000\nBONUS: 5000\nALLOWANCE: 1500\nGROSS: 28500.00\n[FOOTER: JEDI GRADE]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX441D",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 28500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 1500.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF GUATEMALA\nIDENTITY CARD\nID: GT-7722110\nNAME: OSCAR ISAAC\nDOB: 09/03/1979\nNATIONALITY: GUATEMALAN\n[LOGO: QUETZAL SEAL]\nEXPIRY: 2032"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "GT-7722110",
    "ID_Number_confidence_score": 99,
    "Name": "OSCAR ISAAC",
    "Name_confidence_score": 99,
    "Date_of_Birth": "09/03/1979",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "GUATEMALAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CRESCENT CITY CLINIC\nINV: CCC-992\nDATE: 12-FEB-2026\nPATIENT: TOM HIDDLESTON\nX-RAY: $180.00\nGST: $16.20\nTOTAL: $196.20\nREMARKS: PAID BY PAYNOW.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "196.20",
    "Amt_confidence_score": 99,
    "GST": "16.20",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY PAYNOW.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LAUFEYSON CLINIC\nMC SERIAL: L-991\nNAME: SOPHIA DI MARTINO\nNRIC: SXXXX221S\nNOT FIT FOR WORK FROM: 2026-01-10 TO: 2026-01-12\nTYPE: MC\nDR. SYLVIE (MCR 9912)\n[STAMP: VARIANT STATUS]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 95,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TIMELINE INSURANCE\nCLAIM FORM #TVA-112\nINSURED: OWEN WILSON\nCLAIMANT: OWEN WILSON\nDATE: 2025-11-14\nDETAILS: SEVERE FATIGUE AFTER OVERTIME SHIFTS.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "OWEN WILSON",
    "Insured_confidence_score": 98,
    "Claimant": "OWEN WILSON",
    "Claimant_confidence_score": 98,
    "Details": "SEVERE FATIGUE AFTER OVERTIME SHIFTS.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TVA ADMINISTRATION\nPAYSLIP\nNAME: JONATHAN MAJORS\nNRIC: SXXXX101J\nPAID DATE: 2025-12-28\nBASIC: 30000\nBONUS: 10000\nALLOWANCE: 2000\nGROSS: 42000.00\n(cid:12) CONQUEROR DEPT"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX101J",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 42000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 96,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-9922110\nNAME: TOM HIDDLESTON\nDOB: 09/02/1981\nNATIONALITY: BRITISH\n[LOGO: ROYAL SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-9922110",
    "ID_Number_confidence_score": 99,
    "Name": "TOM HIDDLESTON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "09/02/1981",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BELLEVILLE WELLNESS\nINV #BW-991\nDATE: 03-FEB-2026\nPATIENT: TIMOTHEE CHALAMET\nCONSULTATION: $110.00\nGST: $9.90\nTOTAL: $119.90\nREMARKS: COMMON COLD SYMPTOMS.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "119.90",
    "Amt_confidence_score": 99,
    "GST": "9.90",
    "GST_confidence_score": 94,
    "Remarks": "COMMON COLD SYMPTOMS.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ATREIDES MEDICAL\nMC NO: MC-991\nNAME: REBECCA FERGUSON\nNRIC: SXXXX771F\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. YUEH (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-05",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CALADAN INSURANCE\nCLAIM FORM\nINSURED: OSCAR ISAAC\nCLAIMANT: OSCAR ISAAC\nDATE: 2025-05-15\nDETAILS: SAND ALLERGY REACTION FROM FIELD ASSIGNMENT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "OSCAR ISAAC",
    "Insured_confidence_score": 96,
    "Claimant": "OSCAR ISAAC",
    "Claimant_confidence_score": 96,
    "Details": "SAND ALLERGY REACTION FROM FIELD ASSIGNMENT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ARRAKIS MINING CORP\nPAYSLIP\nNAME: JASON MOMOA\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 17500.00\n[FOOTER: SWORDMASTER PAYROLL]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 17500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SWEDEN\nID CARD\nID: SE-1122334\nNAME: STELLAN SKARSGARD\nDOB: 13-06-1951\nNATIONALITY: SWEDISH\n[LOGO: THREE CROWNS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "SE-1122334",
    "ID_Number_confidence_score": 99,
    "Name": "STELLAN SKARSGARD",
    "Name_confidence_score": 99,
    "Date_of_Birth": "13-06-1951",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SWEDISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"METRO MEDICAL CARE\nBILL: MMC-882\nDATE: 12/JAN/2026\nPATIENT: RYAN GOSLING\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: PAID BY COMPANY GRAB.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "130.80",
    "Amt_confidence_score": 99,
    "GST": "10.80",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY COMPANY GRAB.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. KEN CLINIC\nMC SERIAL: BB-01\nNAME: MARGOT ROBBIE\nNRIC: SXXXX441M\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: MC\n[ILLEGIBLE SIGNATURE]\nDR. BARBIE (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2026-02-12",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-02-14",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DREAMHOUSE INSURANCE\nCLAIM FORM\nINSURED: WILL FERRELL\nCLAIMANT: WILL FERRELL\nDATE: 2025-06-14\nDETAILS: EMOTIONAL DISTRESS FROM CRISIS OF EXISTENCE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "WILL FERRELL",
    "Insured_confidence_score": 96,
    "Claimant": "WILL FERRELL",
    "Claimant_confidence_score": 96,
    "Details": "EMOTIONAL DISTRESS FROM CRISIS OF EXISTENCE.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2025-06-14",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MATTEL PRODUCTIONS\nPAYSLIP\nNAME: SIMU LIU\nNRIC: SXXXX112S\nPAID DATE: 2025-11-30\nBASIC: 10000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 13000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112S",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 13000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF AUSTRALIA\nIDENTITY CARD\nID: AU-123456789\nNAME: MARGOT ROBBIE\nDOB: 02/07/1990\nNATIONALITY: AUSTRALIAN\n[LOGO: KANGAROO SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AU-123456789",
    "ID_Number_confidence_score": 99,
    "Name": "MARGOT ROBBIE",
    "Name_confidence_score": 98,
    "Date_of_Birth": "02/07/1990",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "AUSTRALIAN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SKYLINE MEDICAL\nBILL: SLM-102\nDATE: 12/JAN/2026\nPATIENT: TOM CRUISE\nCONSULTATION: $400.00\nGST: $36.00\nTOTAL: $436.00\nREMARKS: PAID BY AMEX PLATINUM.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "436.00",
    "Amt_confidence_score": 99,
    "GST": "36.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY AMEX PLATINUM.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MAVERICK CLINIC\nMC SERIAL: TG-552\nNAME: MILES TELLER\nNRIC: SXXXX111M\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. ROOSTER (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NAVY INSURANCE\nCLAIM FORM\nINSURED: JON HAMM\nCLAIMANT: JON HAMM\nDATE: 2025-08-22\nDETAILS: EAR DRUM DISCOMFORT FROM SONIC BOOM EXPOSURE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JON HAMM",
    "Insured_confidence_score": 97,
    "Claimant": "JON HAMM",
    "Claimant_confidence_score": 97,
    "Details": "EAR DRUM DISCOMFORT FROM SONIC BOOM EXPOSURE.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TOP GUN ACADEMY\nPAYSLIP\nNAME: JENNIFER CONNELLY\nNRIC: SXXXX007C\nPAID DATE: 2025-10-31\nBASIC: 18000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 24000.00\n[FOOTER: AVIATION DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007C",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 24000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-9922110-D\nNAME: GLEN POWELL\nDOB: 21/10/1988\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-D",
    "ID_Number_confidence_score": 99,
    "Name": "GLEN POWELL",
    "Name_confidence_score": 99,
    "Date_of_Birth": "21/10/1988",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SENTOSA MEDICAL CENTRE\nINV: SMC-2026-441\nDATE: 16.JAN.2026\nPATIENT: AUSTIN BUTLER\n---------------------------\nCONSULTATION: $120.00\nMEDICATION: $45.00\nGST 9%: $14.85\nTOTAL: $179.85\nREMARKS: PATIENT REIMBURSING VIA ELVIS ESTATE.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16.JAN.2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "179.85",
    "Amt_confidence_score": 99,
    "GST": "14.85",
    "GST_confidence_score": 95,
    "Remarks": "PATIENT REIMBURSING VIA ELVIS ESTATE.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. PARKER CLINIC\nMC NO: GRACELAND-01\nNAME: TOM HANKS\nNRIC: SXXXX552H\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: COLONEL'S OFFICE]\nDR. PARKER (MCR 4412)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-18",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-20",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MEMPHIS INSURANCE\nCLAIM FORM #M-771\nINSURED: OLIVIA DE JONGE\nCLAIMANT: OLIVIA DE JONGE\nDATE: 12/11/2025\nDETAILS: CHRONIC VOICE FATIGUE DUE TO EXTENDED PERFORMANCE SCHEDULE.\nWORKING DAYS: 6\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "OLIVIA DE JONGE",
    "Insured_confidence_score": 97,
    "Claimant": "OLIVIA DE JONGE",
    "Claimant_confidence_score": 97,
    "Details": "CHRONIC VOICE FATIGUE DUE TO EXTENDED PERFORMANCE SCHEDULE.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "12/11/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WARNER BROS ENT\nPAYSLIP\nNAME: HELEN MIRREN\nNRIC: SXXXX332M\nPAID DATE: 2026-01-25\nBASIC: 45000\nBONUS: 10000\nALLOWANCE: 2000\nGROSS: 57000.00\n[FOOTER: EXECUTIVE GRADE]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332M",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 57000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-0011229\nNAME: MAGGIE SMITH\nDOB: 28/12/1934\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-0011229",
    "ID_Number_confidence_score": 99,
    "Name": "MAGGIE SMITH",
    "Name_confidence_score": 99,
    "Date_of_Birth": "28/12/1934",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HOGWARTS INFIRMARY\nINV: HI-7721\nDATE: 14 02 2026\nPATIENT: DANIEL RADCLIFFE\nCONSULTATION: $50.00\nGST: $4.50\nTOTAL: $54.50\nREMARKS: PAID BY Gringotts Transfer.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 02 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "54.50",
    "Amt_confidence_score": 99,
    "GST": "4.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY Gringotts Transfer.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. POMFREY CLINIC\nMC SERIAL: MC-WIZARD\nNAME: EMMA WATSON\nNRIC: SXXXX111W\nUNFIT FROM: 2026-01-10 TO: 2026-01-15\nTYPE: Hospitalization Leave\nDR. POPPY (MCR 6612)\n[STAMP: POTION RECOVERY]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-15",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MINISTRY INSURANCE\nCLAIM FORM #M-102\nINSURED: RUPERT GRINT\nCLAIMANT: RUPERT GRINT\nDATE: 2025-11-14\nDETAILS: FINGER SPRAIN FROM MISFIRED SPELL INCIDENT.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RUPERT GRINT",
    "Insured_confidence_score": 98,
    "Claimant": "RUPERT GRINT",
    "Claimant_confidence_score": 98,
    "Details": "FINGER SPRAIN FROM MISFIRED SPELL INCIDENT.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MINISTRY OF MAGIC\nPAYSLIP\nNAME: RALPH FIENNES\nNRIC: SXXXX001F\nPAID DATE: 2025-12-28\nBASIC: 25000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 30000.00\n(cid:12) DARK DEPT"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001F",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 30000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-772101\nNAME: ALAN RICKMAN\nDOB: 21/02/1946\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-772101",
    "ID_Number_confidence_score": 99,
    "Name": "ALAN RICKMAN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "21/02/1946",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"VALLEY HEALTH\nINV #VH-991\nDATE: 03-FEB-2026\nPATIENT: PAUL RUDD\nCONSULTATION: $100.00\nGST: $9.00\nTOTAL: $109.00\nREMARKS: PATIENT REFUSES TO AGE.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "109.00",
    "Amt_confidence_score": 99,
    "GST": "9.00",
    "GST_confidence_score": 94,
    "Remarks": "PATIENT REFUSES TO AGE.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. PYM CLINIC\nMC NO: MC-ANT\nNAME: EVANGELINE LILLY\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. HANK (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-05",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PYM TECH INSURANCE\nCLAIM FORM\nINSURED: MICHAEL DOUGLAS\nCLAIMANT: MICHAEL DOUGLAS\nDATE: 2025-05-15\nDETAILS: WRIST BRUISE FROM REPEATED BUTTON PRESSING ON SUIT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MICHAEL DOUGLAS",
    "Insured_confidence_score": 96,
    "Claimant": "MICHAEL DOUGLAS",
    "Claimant_confidence_score": 96,
    "Details": "WRIST BRUISE FROM REPEATED BUTTON PRESSING ON SUIT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PYM TECHNOLOGIES\nPAYSLIP\nNAME: MICHELLE PFEIFFER\nNRIC: SXXXX992P\nPAID DATE: 2025-11-30\nBASIC: 22000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 28000.00\n[FOOTER: QUANTUM DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992P",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 28000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-882100X\nNAME: KATHRYN NEWTON\nDOB: 08-02-1997\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "KATHRYN NEWTON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "08-02-1997",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"STARK MEDICAL\nBILL: SM-992\nDATE: 12/JAN/2026\nPATIENT: ROBERT DOWNEY JR\nCONSULTATION: $500.00\nGST: $45.00\nTOTAL: $545.00\nREMARKS: PAID BY STARK FOUNDATION (INTERNAL).\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "545.00",
    "Amt_confidence_score": 99,
    "GST": "45.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY STARK FOUNDATION (INTERNAL).",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. POTTS CLINIC\nMC SERIAL: IRON-01\nNAME: GWYNETH PALTROW\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. PEPPER (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2026-02-12",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-02-14",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AVENGERS INSURANCE\nCLAIM FORM\nINSURED: DON CHEADLE\nCLAIMANT: DON CHEADLE\nDATE: 2025-06-14\nDETAILS: BACK PAIN FROM PROLONGED USE OF WAR MACHINE ARMOUR.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "DON CHEADLE",
    "Insured_confidence_score": 96,
    "Claimant": "DON CHEADLE",
    "Claimant_confidence_score": 96,
    "Details": "BACK PAIN FROM PROLONGED USE OF WAR MACHINE ARMOUR.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2025-06-14",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"STARK INDUSTRIES\nPAYSLIP\nNAME: JON FAVREAU\nNRIC: SXXXX112F\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 17500.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112F",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 17500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-12345678\nNAME: PAUL BETTANY\nDOB: 27-05-1971\nNATIONALITY: BRITISH\n[LOGO: ROYAL SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "PAUL BETTANY",
    "Name_confidence_score": 98,
    "Date_of_Birth": "27-05-1971",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DURHAM MEDICAL\nBILL: DM-102\nDATE: 12/JAN/2026\nPATIENT: JESSICA CHASTAIN\nCONSULTATION: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: PAID BY APPLE PAY.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "272.50",
    "Amt_confidence_score": 99,
    "GST": "22.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY APPLE PAY.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MURPHY CLINIC\nMC SERIAL: MC-552\nNAME: MATTHEW MCCONAUGHEY\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. COOPER (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NASA INSURANCE\nCLAIM FORM\nINSURED: ANNE HATHAWAY\nCLAIMANT: ANNE HATHAWAY\nDATE: 2025-08-22\nDETAILS: EYE FATIGUE FROM LONG-DURATION SPACE FLIGHT SIMULATION.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ANNE HATHAWAY",
    "Insured_confidence_score": 97,
    "Claimant": "ANNE HATHAWAY",
    "Claimant_confidence_score": 97,
    "Details": "EYE FATIGUE FROM LONG-DURATION SPACE FLIGHT SIMULATION.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WARNER BROS ENT\nPAYSLIP\nNAME: MICHAEL CAINE\nNRIC: SXXXX007C\nPAID DATE: 2025-10-31\nBASIC: 30000\nBONUS: 0\nALLOWANCE: 1000\nGROSS: 31000.00\n[FOOTER: SENIOR STAFF]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007C",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 31000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-9922110-B\nNAME: CASEY AFFLECK\nDOB: 12/08/1975\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-B",
    "ID_Number_confidence_score": 99,
    "Name": "CASEY AFFLECK",
    "Name_confidence_score": 99,
    "Date_of_Birth": "12/08/1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BEDOK CLINIC & SURGERY\nINV: BCS-2026-001\nDATE: 16-JAN-2026\nPATIENT: ANDREW GARFIELD\n---------------------------\nCONSULTATION: $50.00\nMEDICATION: $35.00\nGST (9%): $7.65\nTOTAL AMOUNT: $92.65\nREMARKS: PAID BY CASH.\n[STAMP: RECEIVED]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "92.65",
    "Amt_confidence_score": 99,
    "GST": "7.65",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CASH.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. PARKER'S MEDICAL\nMC NO: NY-9921\nNAME: TOM HOLLAND\nNRIC: SXXXX112T\nUNFIT FROM: 2026-01-20 TO: 2026-01-22\nTYPE: MC\n[STAMP: CERTIFIED UNFIT]\nDR. STRANGE (MCR 4412)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-20",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-22",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"OSCORP INSURANCE\nCLAIM FORM #OS-11\nINSURED: WILLEM DAFOE\nCLAIMANT: WILLEM DAFOE\nDATE: 12/11/2025\nDETAILS: BACK STRAIN FROM GLIDER MALFUNCTION.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "WILLEM DAFOE",
    "Insured_confidence_score": 97,
    "Claimant": "WILLEM DAFOE",
    "Claimant_confidence_score": 97,
    "Details": "BACK STRAIN FROM GLIDER MALFUNCTION.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "12/11/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DAILY BUGLE MEDIA\nPAYSLIP\nNAME: J.K. SIMMONS\nNRIC: SXXXX332J\nPAID DATE: 2026-01-25\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 17500.00\nYTD GROSS: 17500.00\n[FOOTER: EDITOR IN CHIEF]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332J",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 17500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 500.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-0011991\nNAME: ZENDAYA COLEMAN\nDOB: 01/09/1996\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-0011991",
    "ID_Number_confidence_score": 99,
    "Name": "ZENDAYA COLEMAN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/09/1996",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"QUEENS GENERAL\nINV: QG-7721\nDATE: 14-FEB-2026\nPATIENT: TOBEY MAGUIRE\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID VIA INSURANCE PORTAL.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "163.50",
    "Amt_confidence_score": 99,
    "GST": "13.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID VIA INSURANCE PORTAL.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. CONNORS CLINIC\nMC SERIAL: MC-LIZARD\nNAME: RHYS IFANS\nNRIC: SXXXX111R\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. CURT (MCR 6612)\n[STAMP: MEDICAL CLEARANCE]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"STARK INDUSTRIES INS\nCLAIM FORM #SI-102\nINSURED: JON FAVREAU\nCLAIMANT: JON FAVREAU\nDATE: 2025-11-14\nDETAILS: SHOULDER PAIN FROM CARRYING HEAVY BRIEFCASE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JON FAVREAU",
    "Insured_confidence_score": 98,
    "Claimant": "JON FAVREAU",
    "Claimant_confidence_score": 98,
    "Details": "SHOULDER PAIN FROM CARRYING HEAVY BRIEFCASE.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"OSCORP TECH\nPAYSLIP\nNAME: DANE DEHAAN\nNRIC: SXXXX001D\nPAID DATE: 2025-12-28\nBASIC: 12000\nBONUS: 0\nALLOWANCE: 1000\nGROSS: 13000.00\n(cid:12) EXEC OFFICE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001D",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 13000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-772101\nNAME: ANDREW GARFIELD\nDOB: 20/08/1983\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-772101",
    "ID_Number_confidence_score": 99,
    "Name": "ANDREW GARFIELD",
    "Name_confidence_score": 99,
    "Date_of_Birth": "20/08/1983",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HEARTLAND CLINIC\nINV #HC-991\nDATE: 03-FEB-2026\nPATIENT: PEDRO PASCAL\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: FOLLOW-UP VISIT.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "130.80",
    "Amt_confidence_score": 99,
    "GST": "10.80",
    "GST_confidence_score": 94,
    "Remarks": "FOLLOW-UP VISIT.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. JOEL CLINIC\nMC NO: MC-TLOU\nNAME: BELLA RAMSEY\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. MILLER (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-01-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-05",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"POST-APOCALYPSE INS\nCLAIM FORM\nINSURED: NICK OFFERMAN\nCLAIMANT: NICK OFFERMAN\nDATE: 2025-05-15\nDETAILS: HAND LACERATION FROM GARDENING ACCIDENT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "NICK OFFERMAN",
    "Insured_confidence_score": 96,
    "Claimant": "NICK OFFERMAN",
    "Claimant_confidence_score": 96,
    "Details": "HAND LACERATION FROM GARDENING ACCIDENT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}