Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HBO PRODUCTIONS\nPAYSLIP\nNAME: MURRAY BARTLETT\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 17500.00\n[FOOTER: CAST MEMBER]"

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 AUSTRALIA\nID CARD\nID: AU-882100X\nNAME: ANNA TORV\nDOB: 07-06-1979\nNATIONALITY: AUSTRALIAN\n[LOGO: KANGAROO SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AU-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "ANNA TORV",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07-06-1979",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AUSTRALIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GOTHAM MEDICAL\nBILL: GM-992\nDATE: 12/JAN/2026\nPATIENT: ROBERT PATTINSON\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY WAYNE ENT.\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 WAYNE ENT.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ALFRED CLINIC\nMC SERIAL: BAT-01\nNAME: ZOE KRAVITZ\nNRIC: SXXXX441Z\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. PENNYWORTH (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:
"WAYNE INSURANCE\nCLAIM FORM\nINSURED: COLIN FARRELL\nCLAIMANT: COLIN FARRELL\nDATE: 2025-06-14\nDETAILS: SKIN IRRITATION FROM HEAVY PROSTHETICS.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "COLIN FARRELL",
    "Insured_confidence_score": 96,
    "Claimant": "COLIN FARRELL",
    "Claimant_confidence_score": 96,
    "Details": "SKIN IRRITATION FROM HEAVY PROSTHETICS.",
    "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:
"WAYNE ENTERPRISES\nPAYSLIP\nNAME: JEFFREY WRIGHT\nNRIC: SXXXX112W\nPAID DATE: 2025-11-30\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112W",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "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: PAUL DANO\nDOB: 19-06-1984\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "PAUL DANO",
    "Name_confidence_score": 98,
    "Date_of_Birth": "19-06-1984",
    "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:
"SILICON VALLEY MEDICAL\nBILL: SVM-102\nDATE: 12/JAN/2026\nPATIENT: THOMAS MIDDLEDITCH\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY BITCOIN.\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 BITCOIN.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. GILFOYLE CLINIC\nMC SERIAL: MC-552\nNAME: MARTIN STARR\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. DINESH (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:
"PIED PIPER INSURANCE\nCLAIM FORM\nINSURED: KUMAIL NANJIANI\nCLAIMANT: KUMAIL NANJIANI\nDATE: 2025-08-22\nDETAILS: FINGER STRAIN FROM FASTEST COMPRESSION CODING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "KUMAIL NANJIANI",
    "Insured_confidence_score": 97,
    "Claimant": "KUMAIL NANJIANI",
    "Claimant_confidence_score": 97,
    "Details": "FINGER STRAIN FROM FASTEST COMPRESSION CODING.",
    "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:
"PIED PIPER INC\nPAYSLIP\nNAME: ZACH WOODS\nNRIC: SXXXX007Z\nPAID DATE: 2025-10-31\nBASIC: 18000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 24000.00\n[FOOTER: HR DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007Z",
        "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-A\nNAME: AMANDA CREW\nDOB: 05/06/1986\nNATIONALITY: CANADIAN\n[LOGO: MAPLE LEAF SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-A",
    "ID_Number_confidence_score": 99,
    "Name": "AMANDA CREW",
    "Name_confidence_score": 99,
    "Date_of_Birth": "05/06/1986",
    "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:
"RAFFLES MEDICAL GROUP\nINV: RMG-2026-991\nDATE: 16-JAN-2026\nPATIENT: CILLIAN MURPHY\n---------------------------\nCONSULTATION: $150.00\nSCREENING: $300.00\nGST 9%: $40.50\nTOTAL: $490.50\nREMARKS: BILLED TO CORPORATE ACCOUNT.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "490.50",
    "Amt_confidence_score": 99,
    "GST": "40.50",
    "GST_confidence_score": 95,
    "Remarks": "BILLED TO CORPORATE ACCOUNT.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SHELBY CLINIC\nMC NO: BH-001\nNAME: PAUL ANDERSON\nNRIC: SXXXX552P\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: BY ORDER OF THE PEAKY BLINDERS]\nDR. ARTHUR (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:
"BIRMINGHAM INSURANCE\nCLAIM FORM #B-771\nINSURED: HELEN MCCRORY\nCLAIMANT: HELEN MCCRORY\nDATE: 12/11/2025\nDETAILS: NERVOUS EXHAUSTION FROM FAMILY BUSINESS STRESS.\nWORKING DAYS: 6\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "HELEN MCCRORY",
    "Insured_confidence_score": 97,
    "Claimant": "HELEN MCCRORY",
    "Claimant_confidence_score": 97,
    "Details": "NERVOUS EXHAUSTION FROM FAMILY BUSINESS STRESS.",
    "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:
"SHELBY COMPANY LTD\nPAYSLIP\nNAME: JOE COLE\nNRIC: SXXXX332J\nPAID DATE: 2026-01-25\nBASIC: 12000\nOVERTIME: 3000\nALLOWANCE: 1000\nGROSS: 16000.00\n[FOOTER: ENFORCEMENT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332J",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 16000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 90,
        "Allowance": 1000.0,
        "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-0011225\nNAME: TOM HARDY\nDOB: 15/09/1977\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-0011225",
    "ID_Number_confidence_score": 99,
    "Name": "TOM HARDY",
    "Name_confidence_score": 99,
    "Date_of_Birth": "15/09/1977",
    "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:
"ST MUNGO'S HOSPITAL\nINV: SMH-7721\nDATE: 14-FEB-2026\nPATIENT: BENEDICT CUMBERBATCH\nSCAN: $800.00\nGST: $72.00\nTOTAL: $872.00\nREMARKS: PAID BY PRIVATE MEDICAL FUND.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "872.00",
    "Amt_confidence_score": 99,
    "GST": "72.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY PRIVATE MEDICAL FUND.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. WATSON CLINIC\nMC SERIAL: SH-221\nNAME: MARTIN FREEMAN\nNRIC: SXXXX111M\nUNFIT FROM: 2026-01-10 TO: 2026-01-15\nTYPE: Hospitalization Leave\nDR. JOHN (MCR 6612)\n[STAMP: BAKER STREET MEDICAL]"

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:
"SCOTLAND YARD INS\nCLAIM FORM #SY-102\nINSURED: MARK GATISS\nCLAIMANT: MARK GATISS\nDATE: 2025-11-14\nDETAILS: SPRAINED ANKLE DURING FIELD INVESTIGATION.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MARK GATISS",
    "Insured_confidence_score": 98,
    "Claimant": "MARK GATISS",
    "Claimant_confidence_score": 98,
    "Details": "SPRAINED ANKLE DURING FIELD INVESTIGATION.",
    "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:
"221B PRODUCTIONS\nPAYSLIP\nNAME: ANDREW SCOTT\nNRIC: SXXXX001A\nPAID DATE: 2025-12-28\nBASIC: 25000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 31000.00\n(cid:12) CONSULTING DEPT"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 31000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "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: UNA STUBBS\nDOB: 01/05/1937\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-772101",
    "ID_Number_confidence_score": 99,
    "Name": "UNA STUBBS",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/05/1937",
    "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:
"QUEEN'S MEDICAL\nINV #QM-991\nDATE: 03-FEB-2026\nPATIENT: CLAIRE FOY\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY ROYAL WARRANT.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "218.00",
    "Amt_confidence_score": 99,
    "GST": "18.00",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY ROYAL WARRANT.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. CROWN CLINIC\nMC NO: MC-CROWN\nNAME: MATT SMITH\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. PHILIP (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:
"BUCKINGHAM INS\nCLAIM FORM\nINSURED: VANESSA KIRBY\nCLAIMANT: VANESSA KIRBY\nDATE: 2025-05-15\nDETAILS: SORE THROAT FROM EXTENDED REHEARSALS.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "VANESSA KIRBY",
    "Insured_confidence_score": 96,
    "Claimant": "VANESSA KIRBY",
    "Claimant_confidence_score": 96,
    "Details": "SORE THROAT FROM EXTENDED REHEARSALS.",
    "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:
"NETFLIX PRODUCTIONS\nPAYSLIP\nNAME: OLIVIA COLMAN\nNRIC: SXXXX992O\nPAID DATE: 2025-11-30\nBASIC: 40000\nBONUS: 10000\nALLOWANCE: 5000\nGROSS: 55000.00\n[FOOTER: LEAD CAST]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992O",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 55000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-882100X\nNAME: TOBIAS MENZIES\nDOB: 07-03-1974\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "TOBIAS MENZIES",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07-03-1974",
    "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:
"MIDDLE-EARTH HEALTH\nBILL: ME-992\nDATE: 12/JAN/2026\nPATIENT: ELIJAH WOOD\nCONSULTATION: $100.00\nGST: $9.00\nTOTAL: $109.00\nREMARKS: PAID BY MITHRIL COINS.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "109.00",
    "Amt_confidence_score": 99,
    "GST": "9.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY MITHRIL COINS.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ELROND CLINIC\nMC SERIAL: LOTR-01\nNAME: IAN MCKELLEN\nNRIC: SXXXX441I\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. GANDALF (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:
"SHIRE INSURANCE\nCLAIM FORM\nINSURED: VIGGO MORTENSEN\nCLAIMANT: VIGGO MORTENSEN\nDATE: 2025-06-14\nDETAILS: TOE FRACTURE FROM KICKING HELMET.\nWORKING DAYS: 5\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.",
    "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:
"NEW LINE CINEMA\nPAYSLIP\nNAME: ORLANDO BLOOM\nNRIC: SXXXX112O\nPAID DATE: 2025-11-30\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112O",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "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 UK\nID CARD\nID: UK-12345678\nNAME: SEAN BEAN\nDOB: 17-04-1959\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "SEAN BEAN",
    "Name_confidence_score": 98,
    "Date_of_Birth": "17-04-1959",
    "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:
"METRO MEDICAL\nBILL: MM-102\nDATE: 12/JAN/2026\nPATIENT: CHRISTIAN BALE\nCONSULTATION: $400.00\nGST: $36.00\nTOTAL: $436.00\nREMARKS: PAID BY AMEX.\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.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. DENT CLINIC\nMC SERIAL: MC-552\nNAME: HEATH LEDGER\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. HARVEY (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:
"GOTHAM INSURANCE\nCLAIM FORM\nINSURED: GARY OLDMAN\nCLAIMANT: GARY OLDMAN\nDATE: 2025-08-22\nDETAILS: RESPIRATORY DISTRESS FROM SMOKE MACHINE EXPOSURE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "GARY OLDMAN",
    "Insured_confidence_score": 97,
    "Claimant": "GARY OLDMAN",
    "Claimant_confidence_score": 97,
    "Details": "RESPIRATORY DISTRESS FROM SMOKE MACHINE 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:
"WARNER BROS ENT\nPAYSLIP\nNAME: ANNE HATHAWAY\nNRIC: SXXXX007A\nPAID DATE: 2025-10-31\nBASIC: 25000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 31000.00\n[FOOTER: CAT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 31000.0,
        "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-Z\nNAME: MICHAEL CAINE\nDOB: 14/03/1933\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-Z",
    "ID_Number_confidence_score": 99,
    "Name": "MICHAEL CAINE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "14/03/1933",
    "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:
"PASIR RIS MEDICAL CLINIC\nINV: PR-2026-112\nDATE: 16-01-2026\nPATIENT: TOM HARDY\n---------------------------\nCONSULTATION: $65.00\nINJECTION: $40.00\nGST 9%: $9.45\nTOTAL: $114.45\nREMARKS: PAID BY PAYNOW.\n[STAMP: RECEIVED]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16-01-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "114.45",
    "Amt_confidence_score": 99,
    "GST": "9.45",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY PAYNOW.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. BROCK'S CLINIC\nMC NO: SYM-01\nNAME: MICHELLE WILLIAMS\nNRIC: SXXXX551W\nUNFIT FROM: 2026.01.18 TO: 2026.01.20\nTYPE: MC\n[STAMP: CLINICALLY UNFIT]\nDR. EDDIE (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:
"LIFE FOUNDATION INS\nCLAIM FORM #LF-99\nINSURED: RIZ AHMED\nCLAIMANT: RIZ AHMED\nDATE: 2025/11/12\nDETAILS: LACERATION ON LEFT ARM DURING LAB EXPERIMENT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RIZ AHMED",
    "Insured_confidence_score": 97,
    "Claimant": "RIZ AHMED",
    "Claimant_confidence_score": 97,
    "Details": "LACERATION ON LEFT ARM DURING LAB EXPERIMENT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025/11/12",
    "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:
"MARVEL STUDIOS\nPAYSLIP JAN 2026\nNAME: WOODY HARRELSON\nNRIC: SXXXX332W\nPAID DATE: 2026-01-25\nBASIC: 25000\nBONUS: 0\nALLOWANCE: 2000\nGROSS: 27000.00\n[FOOTER: CARNAGE DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332W",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 27000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "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-0011995\nNAME: STEPHEN GRAHAM\nDOB: 03/08/1973\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-0011995",
    "ID_Number_confidence_score": 99,
    "Name": "STEPHEN GRAHAM",
    "Name_confidence_score": 99,
    "Date_of_Birth": "03/08/1973",
    "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:
"KENSINGTON CLINIC\nINV: KC-7721\nDATE: 14-FEB-2026\nPATIENT: JUDE LAW\nCONSULTATION: $180.00\nGST: $16.20\nTOTAL: $196.20\nREMARKS: PAID BY CORPORATE VISA.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14-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 CORPORATE VISA.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ADLER CLINIC\nMC SERIAL: MC-991\nNAME: RACHEL MCADAMS\nNRIC: SXXXX111R\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. IRENE (MCR 6612)\n[STAMP: MEDICAL ADVISORY]"

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:
"WARNER BROS INS\nCLAIM FORM #WB-102\nINSURED: ROBERT DOWNEY JR\nCLAIMANT: ROBERT DOWNEY JR\nDATE: 2025-11-14\nDETAILS: FINGER SPRAIN FROM POINTING ACCIDENT.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ROBERT DOWNEY JR",
    "Insured_confidence_score": 98,
    "Claimant": "ROBERT DOWNEY JR",
    "Claimant_confidence_score": 98,
    "Details": "FINGER SPRAIN FROM POINTING ACCIDENT.",
    "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:
"DETECTION INC\nPAYSLIP\nNAME: EDDIE MARSAN\nNRIC: SXXXX001E\nPAID DATE: 2025-12-28\nBASIC: 15000\nBONUS: 0\nALLOWANCE: 1000\nGROSS: 16000.00\n(cid:12) FORENSICS DEPT"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001E",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 16000.0,
        "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: KELLY REILLY\nDOB: 18/07/1977\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-772101",
    "ID_Number_confidence_score": 99,
    "Name": "KELLY REILLY",
    "Name_confidence_score": 99,
    "Date_of_Birth": "18/07/1977",
    "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:
"BAYSIDE WELLNESS\nINV #BW-991\nDATE: 03-FEB-2026\nPATIENT: ZAC EFRON\nCONSULTATION: $110.00\nGST: $9.90\nTOTAL: $119.90\nREMARKS: MUSCLE STRAIN FROM GYM.\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": "MUSCLE STRAIN FROM GYM.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. BOLTON CLINIC\nMC NO: MC-HSM\nNAME: VANESSA HUDGENS\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. TROY (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:
"DISNEY INSURANCE\nCLAIM FORM\nINSURED: ASHLEY TISDALE\nCLAIMANT: ASHLEY TISDALE\nDATE: 2025-05-15\nDETAILS: CHRONIC HOARSENESS FROM PERFORMANCE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ASHLEY TISDALE",
    "Insured_confidence_score": 96,
    "Claimant": "ASHLEY TISDALE",
    "Claimant_confidence_score": 96,
    "Details": "CHRONIC HOARSENESS FROM PERFORMANCE.",
    "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:
"EAST HIGH CORP\nPAYSLIP\nNAME: CORBIN BLEU\nNRIC: SXXXX992C\nPAID DATE: 2025-11-30\nBASIC: 12000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 14500.00\n[FOOTER: DANCE DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992C",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 14500.0,
        "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 THE USA\nID CARD\nID: US-882100X\nNAME: LUCAS GRABEEL\nDOB: 23-11-1984\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "LUCAS GRABEEL",
    "Name_confidence_score": 99,
    "Date_of_Birth": "23-11-1984",
    "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:
"CENTRAL MEDICAL\nBILL: CM-992\nDATE: 12/JAN/2026\nPATIENT: KEANU REEVES\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY CONTINENTAL TOKENS.\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 CONTINENTAL TOKENS.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. WICK CLINIC\nMC SERIAL: JW-01\nNAME: IAN MCSHANE\nNRIC: SXXXX441I\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. WINSTON (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:
"CONTINENTAL INS\nCLAIM FORM\nINSURED: LAURENCE FISHBURNE\nCLAIMANT: LAURENCE FISHBURNE\nDATE: 2025-06-14\nDETAILS: RESPIRATORY STRAIN FROM FIELD WORK.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "LAURENCE FISHBURNE",
    "Insured_confidence_score": 96,
    "Claimant": "LAURENCE FISHBURNE",
    "Claimant_confidence_score": 96,
    "Details": "RESPIRATORY STRAIN FROM FIELD WORK.",
    "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:
"LIONSGATE FILMS\nPAYSLIP\nNAME: LANCE REDDICK\nNRIC: SXXXX112L\nPAID DATE: 2025-11-30\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\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": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "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: HALLE BERRY\nDOB: 14-08-1966\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "HALLE BERRY",
    "Name_confidence_score": 98,
    "Date_of_Birth": "14-08-1966",
    "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:
"PACIFIC MEDICAL\nBILL: PM-102\nDATE: 12/JAN/2026\nPATIENT: BRADLEY COOPER\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY VISA 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 VISA CREDIT.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. JACKSON CLINIC\nMC SERIAL: MC-552\nNAME: LADY GAGA\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. MAINE (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:
"INTERSCOPE INS\nCLAIM FORM\nINSURED: SAM ELLIOTT\nCLAIMANT: SAM ELLIOTT\nDATE: 2025-08-22\nDETAILS: VOICE FATIGUE FROM NARATION SESSIONS.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SAM ELLIOTT",
    "Insured_confidence_score": 97,
    "Claimant": "SAM ELLIOTT",
    "Claimant_confidence_score": 97,
    "Details": "VOICE FATIGUE FROM NARATION SESSIONS.",
    "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:
"STEFANI ENT\nPAYSLIP\nNAME: ANTHONY RAMOS\nNRIC: SXXXX007A\nPAID DATE: 2025-10-31\nBASIC: 18000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 24000.00\n[FOOTER: CAST DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007A",
        "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-W\nNAME: DAVE CHAPPELLE\nDOB: 24/08/1973\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-W",
    "ID_Number_confidence_score": 99,
    "Name": "DAVE CHAPPELLE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "24/08/1973",
    "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 WEST CLINIC\nINV: TW-2026-882\nDATE: 16-JAN-2026\nPATIENT: RYAN REYNOLDS\n---------------------------\nCONSULTATION: $80.00\nPHYSIO: $150.00\nGST @ 9.0%: $20.70\nTOTAL: $250.70\nREMARKS: PAID BY COMPANY CARD.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "250.70",
    "Amt_confidence_score": 99,
    "GST": "20.70",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY COMPANY CARD.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. POOL'S MEDICAL\nMC NO: DP-001\nNAME: MORENA BACCARIN\nNRIC: SXXXX551M\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: Medical Leave (Post-Op)\n[STAMP: SURGICAL RECOVERY]\nDR. WILSON (MCR 4412)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 92,
    "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:
"X-FORCE INSURANCE\nCLAIM FORM #XF-11\nINSURED: JOSH BROLIN\nCLAIMANT: JOSH BROLIN\nDATE: 12/11/2025\nDETAILS: FRACTURED RIB DURING STUNT COORDINATION.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JOSH BROLIN",
    "Insured_confidence_score": 97,
    "Claimant": "JOSH BROLIN",
    "Claimant_confidence_score": 97,
    "Details": "FRACTURED RIB DURING STUNT COORDINATION.",
    "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:
"MAXIMUM EFFORT ENT\nPAYSLIP JAN 2026\nNAME: ZAZIE BEETZ\nNRIC: SXXXX332Z\nPAID DATE: 2026-01-25\nBASIC: 18000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 24000.00\n[FOOTER: LUCK DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332Z",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 24000.0,
        "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 BRAZIL\nID CARD\nID: BR-0011992\nNAME: MORENA BACCARIN\nDOB: 02/06/1979\nNATIONALITY: BRAZILIAN\n[LOGO: BRAZIL CREST]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "BR-0011992",
    "ID_Number_confidence_score": 99,
    "Name": "MORENA BACCARIN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "02/06/1979",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRAZILIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NORTHSIDE MEDICAL\nINV: NM-7721\nDATE: 14-FEB-2026\nPATIENT: BILL MURRAY\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: PAID BY INSURANCE CLAIM.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "130.80",
    "Amt_confidence_score": 99,
    "GST": "10.80",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY INSURANCE CLAIM.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. VENKMAN CLINIC\nMC SERIAL: MC-GHOST\nNAME: DAN AYKROYD\nNRIC: SXXXX111D\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Outpatient Leave\nDR. PETER (MCR 6612)\n[STAMP: PARANORMAL 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": "2026-01-12",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GHOSTBUSTERS INS\nCLAIM FORM #GB-102\nINSURED: ERNIE HUDSON\nCLAIMANT: ERNIE HUDSON\nDATE: 2025-11-14\nDETAILS: BACK STRAIN FROM CARRYING PROTON PACK.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ERNIE HUDSON",
    "Insured_confidence_score": 98,
    "Claimant": "ERNIE HUDSON",
    "Claimant_confidence_score": 98,
    "Details": "BACK STRAIN FROM CARRYING PROTON PACK.",
    "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:
"COLUMBIA PICTURES\nPAYSLIP\nNAME: SIGOURNEY WEAVER\nNRIC: SXXXX001S\nPAID DATE: 2025-12-28\nBASIC: 35000\nBONUS: 0\nALLOWANCE: 2000\nGROSS: 37000.00\n(cid:12) EXECUTIVE GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001S",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 37000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "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 USA\nID CARD\nID: US-772101\nNAME: RICK MORANIS\nDOB: 18/04/1953\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-772101",
    "ID_Number_confidence_score": 99,
    "Name": "RICK MORANIS",
    "Name_confidence_score": 99,
    "Date_of_Birth": "18/04/1953",
    "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:
"CITY HEALTH CENTRE\nINV #CH-991\nDATE: 03-FEB-2026\nPATIENT: PAUL RUDD\nCONSULTATION: $100.00\nGST: $9.00\nTOTAL: $109.00\nREMARKS: MINOR ALLERGIC REACTION.\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": "MINOR ALLERGIC REACTION.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LANG CLINIC\nMC NO: MC-ANT2\nNAME: EVANGELINE LILLY\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. SCOTT (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:
"MARVEL INSURANCE\nCLAIM FORM\nINSURED: MICHAEL DOUGLAS\nCLAIMANT: MICHAEL DOUGLAS\nDATE: 2025-05-15\nDETAILS: KNEE DISCOMFORT FROM STAIR CLIMBING.\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": "KNEE DISCOMFORT FROM STAIR CLIMBING.",
    "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 TECH\nPAYSLIP\nNAME: MICHELLE PFEIFFER\nNRIC: SXXXX992P\nPAID DATE: 2025-11-30\nBASIC: 25000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 31000.00\n[FOOTER: QUANTUM REALM]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992P",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 31000.0,
        "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:
"STARFLEET MEDICAL\nBILL: SF-992\nDATE: 12/JAN/2026\nPATIENT: CHRIS PINE\nCONSULTATION: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: PAID BY FEDERATION CREDITS.\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 FEDERATION CREDITS.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MCCOY CLINIC\nMC SERIAL: ST-01\nNAME: ZACHARY QUINTO\nNRIC: SXXXX441Z\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. BONES (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:
"STARFLEET INS\nCLAIM FORM\nINSURED: KARL URBAN\nCLAIMANT: KARL URBAN\nDATE: 2025-06-14\nDETAILS: FRACTURED WRIST DURING AWAY MISSION.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "KARL URBAN",
    "Insured_confidence_score": 96,
    "Claimant": "KARL URBAN",
    "Claimant_confidence_score": 96,
    "Details": "FRACTURED WRIST DURING AWAY MISSION.",
    "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:
"PARAMOUNT PICTURES\nPAYSLIP\nNAME: ZOE SALDANA\nNRIC: SXXXX112Z\nPAID DATE: 2025-11-30\nBASIC: 30000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 36000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112Z",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 36000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "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: SIMON PEGG\nDOB: 14-02-1970\nNATIONALITY: BRITISH\n[LOGO: ROYAL SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "SIMON PEGG",
    "Name_confidence_score": 98,
    "Date_of_Birth": "14-02-1970",
    "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:
"WESTSIDE CLINIC\nBILL: WC-102\nDATE: 12/JAN/2026\nPATIENT: TOM HARDY\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. MAX CLINIC\nMC SERIAL: MC-552\nNAME: CHARLIZE THERON\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. FURIOSA (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:
"CITADEL INSURANCE\nCLAIM FORM\nINSURED: NICHOLAS HOULT\nCLAIMANT: NICHOLAS HOULT\nDATE: 2025-08-22\nDETAILS: EYE FATIGUE FROM DESERT EXPOSURE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "NICHOLAS HOULT",
    "Insured_confidence_score": 97,
    "Claimant": "NICHOLAS HOULT",
    "Claimant_confidence_score": 97,
    "Details": "EYE FATIGUE FROM DESERT 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:
"WARNER BROS ENT\nPAYSLIP\nNAME: HUGH KEAYS-BYRNE\nNRIC: SXXXX007H\nPAID DATE: 2025-10-31\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: IMMORTAN DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007H",
        "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 AUSTRALIA\nID CARD\nID: AU-9922110-C\nNAME: COURTNEY EATON\nDOB: 06/01/1996\nNATIONALITY: AUSTRALIAN\n[LOGO: KANGAROO SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AU-9922110-C",
    "ID_Number_confidence_score": 99,
    "Name": "COURTNEY EATON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "06/01/1996",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AUSTRALIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WOODLANDS HEALTH CAMPUS\nINV: WHC-2026-551\nDATE: 16 JAN 2026\nPATIENT: TOM HIDDLESTON\n---------------------------\nCONSULTATION: $90.00\nLAB TESTS: $210.00\nGST 9%: $27.00\nTOTAL: $327.00\nREMARKS: CLAIMABLE VIA TVA.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "327.00",
    "Amt_confidence_score": 99,
    "GST": "27.00",
    "GST_confidence_score": 95,
    "Remarks": "CLAIMABLE VIA TVA.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LAUFEY CLINIC\nMC NO: AS-001\nNAME: CHRIS HEMSWORTH\nNRIC: SXXXX552C\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: BIFROST MEDICAL]\nDR. ODIN (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:
"ASGARD INSURANCE\nCLAIM FORM #A-991\nINSURED: CATE BLANCHETT\nCLAIMANT: CATE BLANCHETT\nDATE: 12/11/2025\nDETAILS: SHOULDER DISLOCATION FROM REPEATED HAMMER IMPACT DEFLECTION.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CATE BLANCHETT",
    "Insured_confidence_score": 97,
    "Claimant": "CATE BLANCHETT",
    "Claimant_confidence_score": 97,
    "Details": "SHOULDER DISLOCATION FROM REPEATED HAMMER IMPACT DEFLECTION.",
    "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:
"MARVEL ENT\nPAYSLIP\nNAME: TESSA THOMPSON\nNRIC: SXXXX332T\nPAID DATE: 2026-01-25\nBASIC: 22000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 28000.00\nCPF DEDUCTION: 4000\n[FOOTER: VALKYRIE DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332T",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 28000.0,
        "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 AUSTRALIA\nID CARD\nID: AU-0011229\nNAME: CHRIS HEMSWORTH\nDOB: 11/08/1983\nNATIONALITY: AUSTRALIAN\n[LOGO: KANGAROO CREST]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AU-0011229",
    "ID_Number_confidence_score": 99,
    "Name": "CHRIS HEMSWORTH",
    "Name_confidence_score": 99,
    "Date_of_Birth": "11/08/1983",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AUSTRALIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HOLLYWOOD NORTH MED\nINV: HN-7721\nDATE: 14 FEB 2026\nPATIENT: RYAN GOSLING\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY PRODUCTION ACCOUNT.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "218.00",
    "Amt_confidence_score": 99,
    "GST": "18.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY PRODUCTION ACCOUNT.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SEBASTIAN CLINIC\nMC SERIAL: MC-LA-LA\nNAME: EMMA STONE\nNRIC: SXXXX111E\nUNFIT FROM: 2026-01-10 TO: 2026-01-15\nTYPE: Hospitalization Leave\nDR. KEITH (MCR 6612)\n[STAMP: STAGE 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:
"LIONSGATE INSURANCE\nCLAIM FORM #LG-102\nINSURED: JOHN LEGEND\nCLAIMANT: JOHN LEGEND\nDATE: 2025-11-14\nDETAILS: STRAINED VOCAL CORDS DURING JAZZ FESTIVAL TOUR.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JOHN LEGEND",
    "Insured_confidence_score": 98,
    "Claimant": "JOHN LEGEND",
    "Claimant_confidence_score": 98,
    "Details": "STRAINED VOCAL CORDS DURING JAZZ FESTIVAL TOUR.",
    "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:
"SUMMIT ENT\nPAYSLIP\nNAME: J.K. SIMMONS\nNRIC: SXXXX001S\nPAID DATE: 2025-12-28\nBASIC: 30000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 35000.00\n(cid:12) MUSIC DEPT"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001S",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 35000.0,
        "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 USA\nID CARD\nID: US-772101\nNAME: ROSEMARIE DEWITT\nDOB: 26/10/1971\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-772101",
    "ID_Number_confidence_score": 99,
    "Name": "ROSEMARIE DEWITT",
    "Name_confidence_score": 99,
    "Date_of_Birth": "26/10/1971",
    "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:
"CANNES HEALTH\nINV #CH-441\nDATE: 03-FEB-2026\nPATIENT: MADDS MIKKELSEN\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: PAID BY EUROS.\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": "PAID BY EUROS.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LECTER CLINIC\nMC NO: MC-007\nNAME: HUGH DANCY\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. HANNIBAL (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:
"GAUMONT INSURANCE\nCLAIM FORM\nINSURED: LAURENCE FISHBURNE\nCLAIMANT: LAURENCE FISHBURNE\nDATE: 2025-05-15\nDETAILS: MINOR BRUISING FROM ACTION SEQUENCE FILMING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "LAURENCE FISHBURNE",
    "Insured_confidence_score": 96,
    "Claimant": "LAURENCE FISHBURNE",
    "Claimant_confidence_score": 96,
    "Details": "MINOR BRUISING FROM ACTION SEQUENCE FILMING.",
    "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:
"NBC UNIVERSAL\nPAYSLIP\nNAME: CAROLINE DHAVERNAS\nNRIC: SXXXX992C\nPAID DATE: 2025-11-30\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 21000.00\n[FOOTER: PSYCH DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992C",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 21000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "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 DENMARK\nID CARD\nID: DK-882100X\nNAME: MADS MIKKELSEN\nDOB: 22-11-1965\nNATIONALITY: DANISH\n[LOGO: ROYAL SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "DK-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "MADS MIKKELSEN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "22-11-1965",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "DANISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SAVOY MEDICAL\nBILL: SM-112\nDATE: 12.01.2026\nPATIENT: RALPH FIENNES\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY CONCIERGE.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12.01.2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "163.50",
    "Amt_confidence_score": 99,
    "GST": "13.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CONCIERGE.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. GUSTAVE CLINIC\nMC SERIAL: MC-GBH\nNAME: TONY REVOLORI\nNRIC: SXXXX441T\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. M. (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:
"ZUBROWKA INSURANCE\nCLAIM FORM\nINSURED: WILLEM DAFOE\nCLAIMANT: WILLEM DAFOE\nDATE: 2025-06-14\nDETAILS: HAND INJURY FROM MOTORCYCLE ACCIDENT.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "WILLEM DAFOE",
    "Insured_confidence_score": 96,
    "Claimant": "WILLEM DAFOE",
    "Claimant_confidence_score": 96,
    "Details": "HAND INJURY FROM MOTORCYCLE 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:
"SEARCHLIGHT PICTURES\nPAYSLIP\nNAME: F. MURRAY ABRAHAM\nNRIC: SXXXX112F\nPAID DATE: 2025-11-30\nBASIC: 25000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 31000.00\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": 31000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "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: EDWARD NORTON\nDOB: 18-08-1969\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "EDWARD NORTON",
    "Name_confidence_score": 98,
    "Date_of_Birth": "18-08-1969",
    "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:
"CENTRAL CLINIC\nBILL: CC-102\nDATE: 12/JAN/2026\nPATIENT: STEVE CARELL\nCONSULTATION: $100.00\nGST: $9.00\nTOTAL: $109.00\nREMARKS: PAID BY MASTERCARD.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "109.00",
    "Amt_confidence_score": 99,
    "GST": "9.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY MASTERCARD.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SCOTT CLINIC\nMC SERIAL: MC-OFFICE\nNAME: RAIN ZEEDMAN\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. DWIGHT (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:
"DUNDER MIFFLIN INS\nCLAIM FORM\nINSURED: JOHN KRASINSKI\nCLAIMANT: JOHN KRASINSKI\nDATE: 2025-08-22\nDETAILS: WRIST STRAIN FROM EXCESSIVE PAPER FILING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JOHN KRASINSKI",
    "Insured_confidence_score": 97,
    "Claimant": "JOHN KRASINSKI",
    "Claimant_confidence_score": 97,
    "Details": "WRIST STRAIN FROM EXCESSIVE PAPER FILING.",
    "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:
"NBC UNIVERSAL\nPAYSLIP\nNAME: JENNA FISCHER\nNRIC: SXXXX007J\nPAID DATE: 2025-10-31\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 18000.00\n[FOOTER: RECEPTION DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007J",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 18000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "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-O\nNAME: BJ NOVAK\nDOB: 31/07/1979\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-O",
    "ID_Number_confidence_score": 99,
    "Name": "BJ NOVAK",
    "Name_confidence_score": 99,
    "Date_of_Birth": "31/07/1979",
    "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 SOUTH MEDICAL\nINV: BSM-2026-001\nDATE: 16-JAN-2026\nPATIENT: PEDRO PASCAL\n---------------------------\nCONSULTATION: SGD 60.00\nX-RAY: SGD 120.00\nGST (9%): SGD 16.20\nTOTAL AMOUNT: SGD 196.20\nREMARKS: PAID VIA INSURANCE PORTAL.\n[STAMP: RECEIVED]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "196.20",
    "Amt_confidence_score": 99,
    "GST": "16.20",
    "GST_confidence_score": 95,
    "Remarks": "PAID VIA INSURANCE PORTAL.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. JOEL'S CLINIC\nMC NO: TLOU-99\nNAME: BELLA RAMSEY\nNRIC: SXXXX112B\nUNFIT FROM: 2026-01-20 TO: 2026-01-22\nTYPE: MC\n[STAMP: MEDICAL CLEARANCE]\nDR. MILLER (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:
"FIREFLY INSURANCE\nCLAIM FORM #FF-12\nINSURED: GABRIEL LUNA\nCLAIMANT: GABRIEL LUNA\nDATE: 12/11/2025\nDETAILS: LACERATION FROM SHARP DEBRIS DURING FIELD WORK.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "GABRIEL LUNA",
    "Insured_confidence_score": 97,
    "Claimant": "GABRIEL LUNA",
    "Claimant_confidence_score": 97,
    "Details": "LACERATION FROM SHARP DEBRIS DURING FIELD WORK.",
    "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:
"HBO ASIA\nPAYSLIP\nNAME: NICO PARKER\nNRIC: SXXXX332N\nPAID DATE: 2026-01-25\nBASIC: 12000\nCOMMISSION: 3000\nALLOWANCE: 500\nGROSS: 15500.00\nYTD GROSS: 15500.00\n[FOOTER: CASTING DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332N",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 15500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 90,
        "Allowance": 500.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF CHILE\nID CARD\nID: CL-0011991\nNAME: PEDRO PASCAL\nDOB: 02/04/1975\nNATIONALITY: CHILEAN\n[LOGO: CONDOR SEAL]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CL-0011991",
    "ID_Number_confidence_score": 99,
    "Name": "PEDRO PASCAL",
    "Name_confidence_score": 99,
    "Date_of_Birth": "02/04/1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "CHILEAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GREENWICH MEDICAL\nINV: GM-7721\nDATE: 14-FEB-2026\nPATIENT: BENEDICT CUMBERBATCH\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID VIA NETS.\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 NETS.",
    "Remarks_confidence_score": 86
  }
}


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

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:
"MULTIVERSE INSURANCE\nCLAIM FORM #MI-102\nINSURED: CHIWETEL EJIOFOR\nCLAIMANT: CHIWETEL EJIOFOR\nDATE: 2025-11-14\nDETAILS: FRACTURED WRIST FROM SHIELD IMPACT.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CHIWETEL EJIOFOR",
    "Insured_confidence_score": 98,
    "Claimant": "CHIWETEL EJIOFOR",
    "Claimant_confidence_score": 98,
    "Details": "FRACTURED WRIST FROM SHIELD IMPACT.",
    "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:
"MARVEL STUDIOS\nPAYSLIP\nNAME: ELIZABETH OLSEN\nNRIC: SXXXX001E\nPAID DATE: 2025-12-28\nBASIC: 25000\nBONUS: 10000\nALLOWANCE: 1000\nGROSS: 36000.00\n(cid:12) EXECUTIVE GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001E",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 36000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "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: TOM HOLLAND\nDOB: 01/06/1996\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-772101",
    "ID_Number_confidence_score": 99,
    "Name": "TOM HOLLAND",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/06/1996",
    "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:
"HEARTLAND CLINIC\nINV #HC-992\nDATE: 03-FEB-2026\nPATIENT: ANDREW GARFIELD\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: ROUTINE CHECK-UP.\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": "ROUTINE CHECK-UP.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. WEBB CLINIC\nMC NO: MC-SPIDER\nNAME: EMMA STONE\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. GWEN (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:
"OSCORP INSURANCE\nCLAIM FORM\nINSURED: RHYS IFANS\nCLAIMANT: RHYS IFANS\nDATE: 2025-05-15\nDETAILS: EYE STRAIN FROM MICROSCOPE USE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RHYS IFANS",
    "Insured_confidence_score": 96,
    "Claimant": "RHYS IFANS",
    "Claimant_confidence_score": 96,
    "Details": "EYE STRAIN FROM MICROSCOPE USE.",
    "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:
"SONY PICTURES\nPAYSLIP\nNAME: SALLY FIELD\nNRIC: SXXXX992S\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 17500.00\n[FOOTER: CAST MEMBER]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992S",
        "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 THE USA\nID CARD\nID: US-882100X\nNAME: DENZEL WASHINGTON\nDOB: 28-12-1954\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "DENZEL WASHINGTON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "28-12-1954",
    "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:
"CITY MEDICAL\nBILL: CM-992\nDATE: 12/JAN/2026\nPATIENT: CHADWICK BOSEMAN\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY VIBRANIUM CREDIT.\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 VIBRANIUM CREDIT.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SHURI CLINIC\nMC SERIAL: MC-BP\nNAME: LUPITA NYONG'O\nNRIC: SXXXX441L\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. T'CHALLA (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:
"WAKANDA INSURANCE\nCLAIM FORM\nINSURED: DANAI GURIRA\nCLAIMANT: DANAI GURIRA\nDATE: 2025-06-14\nDETAILS: SHOULDER STRAIN FROM SPEAR PRACTICE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "DANAI GURIRA",
    "Insured_confidence_score": 96,
    "Claimant": "DANAI GURIRA",
    "Claimant_confidence_score": 96,
    "Details": "SHOULDER STRAIN FROM SPEAR PRACTICE.",
    "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:
"WAKANDA TECH\nPAYSLIP\nNAME: LETITIA WRIGHT\nNRIC: SXXXX112L\nPAID DATE: 2025-11-30\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\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": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "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: WINSTON DUKE\nDOB: 15-11-1986\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "WINSTON DUKE",
    "Name_confidence_score": 98,
    "Date_of_Birth": "15-11-1986",
    "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:
"VALLEY MEDICAL\nBILL: VM-102\nDATE: 12/JAN/2026\nPATIENT: RALPH MACCHIO\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY COBRA KAI FUND.\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 COBRA KAI FUND.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MIYAGI CLINIC\nMC SERIAL: MC-DOJO\nNAME: WILLIAM ZABKA\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. DANIEL (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:
"ALL-VALLEY INS\nCLAIM FORM\nINSURED: XOLO MARIDUEÑA\nCLAIMANT: XOLO MARIDUEÑA\nDATE: 2025-08-22\nDETAILS: KNEE PAIN FROM TOURNAMENT TRAINING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "XOLO MARIDUE\u00d1A",
    "Insured_confidence_score": 97,
    "Claimant": "XOLO MARIDUE\u00d1A",
    "Claimant_confidence_score": 97,
    "Details": "KNEE PAIN FROM TOURNAMENT TRAINING.",
    "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:
"SONY ENT\nPAYSLIP\nNAME: TANNER BUCHANAN\nNRIC: SXXXX007T\nPAID DATE: 2025-10-31\nBASIC: 12000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 15000.00\n[FOOTER: DOJO DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007T",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 15000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "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-K\nNAME: MARY MOUSER\nDOB: 09/05/1996\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-K",
    "ID_Number_confidence_score": 99,
    "Name": "MARY MOUSER",
    "Name_confidence_score": 99,
    "Date_of_Birth": "09/05/1996",
    "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:
"SEOUL CENTRAL MEDICAL\nINV: SCM-2026-001\nDATE: 16-01-2026\nPATIENT: LEE JUNG-JAE\n---------------------------\nCONSULTATION: 150000 KRW\nTESTS: 50000 KRW\nGST 9%: 18000 KRW\nTOTAL: 218000 KRW\nREMARKS: PAID BY SAMSUNG CARD.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16-01-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "218000",
    "Amt_confidence_score": 99,
    "GST": "18000",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY SAMSUNG CARD.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. GI-HUN CLINIC\nMC NO: SQ-456\nNAME: PARK HAE-SOO\nNRIC: SXXXX456P\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: CLINICALLY UNFIT]\nDR. SUNG (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:
"K-INSURANCE CORP\nCLAIM FORM #K-77\nINSURED: JUNG HO-YEON\nCLAIMANT: JUNG HO-YEON\nDATE: 12/11/2025\nDETAILS: ANKLE SPRAIN DURING STUNT FILMING.\nWORKING DAYS: 6\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JUNG HO-YEON",
    "Insured_confidence_score": 97,
    "Claimant": "JUNG HO-YEON",
    "Claimant_confidence_score": 97,
    "Details": "ANKLE SPRAIN DURING STUNT FILMING.",
    "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:
"NETFLIX KOREA\nPAYSLIP\nNAME: WI HA-JOON\nNRIC: SXXXX332W\nPAID DATE: 2026-01-25\nBASIC: 25000\nBONUS: 0\nALLOWANCE: 2000\nGROSS: 27000.00\nDEDUCTIONS: 5000\nNET: 22000.00"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332W",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 27000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "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 KOREA\nID CARD\nID: KR-0011995\nNAME: GONG YOO\nDOB: 10/07/1979\nNATIONALITY: KOREAN\n[LOGO: TAEGEUK SEAL]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "KR-0011995",
    "ID_Number_confidence_score": 99,
    "Name": "GONG YOO",
    "Name_confidence_score": 99,
    "Date_of_Birth": "10/07/1979",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "KOREAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LONDON HEALTH\nINV: LH-7721\nDATE: 14-FEB-2026\nPATIENT: TOM HIDDLESTON\nCONSULTATION: $180.00\nGST: $16.20\nTOTAL: $196.20\nREMARKS: PAID BY AMEX BLACK.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14-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 AMEX BLACK.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LOKI CLINIC\nMC SERIAL: MC-TVA\nNAME: OWEN WILSON\nNRIC: SXXXX111O\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. MOBIUS (MCR 6612)\n[STAMP: VARIANT APPROVED]"

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:
"TIMELINE INSURANCE\nCLAIM FORM #TL-102\nINSURED: SOPHIA DI MARTINO\nCLAIMANT: SOPHIA DI MARTINO\nDATE: 2025-11-14\nDETAILS: FATIGUE FROM REPEATED TEMPORAL DISPLACEMENT.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SOPHIA DI MARTINO",
    "Insured_confidence_score": 98,
    "Claimant": "SOPHIA DI MARTINO",
    "Claimant_confidence_score": 98,
    "Details": "FATIGUE FROM REPEATED TEMPORAL DISPLACEMENT.",
    "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:
"DISNEY+ ENT\nPAYSLIP\nNAME: JONATHAN MAJORS\nNRIC: SXXXX001J\nPAID DATE: 2025-12-28\nBASIC: 40000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 45000.00\n(cid:12) CONQUEROR GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001J",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 45000.0,
        "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 USA\nID CARD\nID: US-772101\nNAME: KE HUY QUAN\nDOB: 20/08/1971\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-772101",
    "ID_Number_confidence_score": 99,
    "Name": "KE HUY QUAN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "20/08/1971",
    "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:
"A24 HEALTH\nINV #A24-991\nDATE: 03-FEB-2026\nPATIENT: MICHELLE YEOH\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: EVERYTHING EVERYWHERE ALL AT ONCE.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "218.00",
    "Amt_confidence_score": 99,
    "GST": "18.00",
    "GST_confidence_score": 94,
    "Remarks": "EVERYTHING EVERYWHERE ALL AT ONCE.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. WANG CLINIC\nMC NO: MC-EEAAO\nNAME: JAMIE LEE CURTIS\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. DEIRDRE (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:
"MULTIVERSE INS\nCLAIM FORM\nINSURED: STEPHANIE HSU\nCLAIMANT: STEPHANIE HSU\nDATE: 2025-05-15\nDETAILS: TEMPORAL MIGRAINE FROM MULTIVERSE JUMPING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "STEPHANIE HSU",
    "Insured_confidence_score": 96,
    "Claimant": "STEPHANIE HSU",
    "Claimant_confidence_score": 96,
    "Details": "TEMPORAL MIGRAINE FROM MULTIVERSE JUMPING.",
    "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:
"A24 PRODUCTIONS\nPAYSLIP\nNAME: JAMES HONG\nNRIC: SXXXX992J\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 21000.00\n[FOOTER: LEGEND DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992J",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 21000.0,
        "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: JENNY SLATE\nDOB: 25-03-1982\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "JENNY SLATE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "25-03-1982",
    "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:
"OSCAR MEDICAL\nBILL: OM-992\nDATE: 12/JAN/2026\nPATIENT: BRENDAN FRASER\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY ACADEMY FUND.\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 ACADEMY FUND.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. CHARLIE CLINIC\nMC SERIAL: MC-WHALE\nNAME: SADIE SINK\nNRIC: SXXXX441S\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. TY (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:
"PROTOZOA INS\nCLAIM FORM\nINSURED: HONG CHAU\nCLAIMANT: HONG CHAU\nDATE: 2025-06-14\nDETAILS: EMOTIONAL EXHAUSTION FROM DRAMATIC ROLE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "HONG CHAU",
    "Insured_confidence_score": 96,
    "Claimant": "HONG CHAU",
    "Claimant_confidence_score": 96,
    "Details": "EMOTIONAL EXHAUSTION FROM DRAMATIC ROLE.",
    "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
  }
}