Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"A24 FILMS\nPAYSLIP\nNAME: TY SIMPKINS\nNRIC: SXXXX112T\nPAID DATE: 2025-11-30\nBASIC: 12000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 14500.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112T",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 14500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-12345678\nNAME: SAMANTHA MORTON\nDOB: 13-05-1977\nNATIONALITY: BRITISH\n[LOGO: ROYAL SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "SAMANTHA MORTON",
    "Name_confidence_score": 98,
    "Date_of_Birth": "13-05-1977",
    "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:
"MIAMI MEDICAL\nBILL: MM-102\nDATE: 12/JAN/2026\nPATIENT: AUSTIN BUTLER\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY ELVIS ESTATE CARD.\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 ELVIS ESTATE CARD.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. PARKER CLINIC\nMC SERIAL: MC-ELVIS\nNAME: TOM HANKS\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. COLONEL (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:
"WARNER BROS INS\nCLAIM FORM\nINSURED: OLIVIA DE JONGE\nCLAIMANT: OLIVIA DE JONGE\nDATE: 2025-08-22\nDETAILS: VOCAL STRAIN FROM SINGING REHEARSALS.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "OLIVIA DE JONGE",
    "Insured_confidence_score": 97,
    "Claimant": "OLIVIA DE JONGE",
    "Claimant_confidence_score": 97,
    "Details": "VOCAL STRAIN FROM SINGING REHEARSALS.",
    "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:
"RCA RECORDS\nPAYSLIP\nNAME: HELEN THOMSON\nNRIC: SXXXX007H\nPAID DATE: 2025-10-31\nBASIC: 10000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 13000.00\n[FOOTER: MUSIC 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": 13000.0,
        "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 AUSTRALIA\nID CARD\nID: AU-9922110-A\nNAME: RICHARD ROXBURGH\nDOB: 23/01/1962\nNATIONALITY: AUSTRALIAN\n[LOGO: KANGAROO SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AU-9922110-A",
    "ID_Number_confidence_score": 99,
    "Name": "RICHARD ROXBURGH",
    "Name_confidence_score": 99,
    "Date_of_Birth": "23/01/1962",
    "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 CLINIC\nINV: WHC-626\nDATE: 16-JAN-2026\nPATIENT: CILLIAN MURPHY\n---------------------------\nCONSULTATION: $85.00\nMEDICINE: $45.00\nCHAS SUBSIDY: -$20.00\nGST 9%: $9.90\nTOTAL: $119.90\nREMARKS: PATIENT PAID BY CASH.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "119.90",
    "Amt_confidence_score": 99,
    "GST": "9.90",
    "GST_confidence_score": 95,
    "Remarks": "PATIENT PAID BY CASH.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SHELBY'S MEDICAL\nMC NO: PB-001\nNAME: PAUL ANDERSON\nNRIC: SXXXX551P\nUNFIT FROM: 2026.01.18 TO: 2026.01.20\nTYPE: MC\n[STAMP: CLINICALLY UNFIT]\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:
"GARRISON INSURANCE\nCLAIM FORM #G-99\nINSURED: TOM HARDY\nCLAIMANT: TOM HARDY\nDATE: 2025/11/12\nDETAILS: CONTUSION ON UPPER ARM FROM ON-SET ACCIDENT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "TOM HARDY",
    "Insured_confidence_score": 97,
    "Claimant": "TOM HARDY",
    "Claimant_confidence_score": 97,
    "Details": "CONTUSION ON UPPER ARM FROM ON-SET ACCIDENT.",
    "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:
"BBC STUDIOS\nPAYSLIP JAN 2026\nNAME: HELEN MCCRORY\nNRIC: SXXXX332H\nPAID DATE: 2026-01-25\nBASIC: 30000\nBONUS: 0\nALLOWANCE: 2000\nGROSS: 32000.00\n[FOOTER: CASTING DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332H",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 32000.0,
        "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 IRELAND\nID CARD\nID: IE-0011995\nNAME: CILLIAN MURPHY\nDOB: 25/05/1976\nNATIONALITY: IRISH\n[LOGO: HARP CREST]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IE-0011995",
    "ID_Number_confidence_score": 99,
    "Name": "CILLIAN MURPHY",
    "Name_confidence_score": 99,
    "Date_of_Birth": "25/05/1976",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "IRISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"METROPOLITAN GENERAL\nINV: MG-7721\nDATE: 14-FEB-2026\nPATIENT: GARY OLDMAN\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY CORPORATE AMEX.\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 CORPORATE AMEX.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SMILEY CLINIC\nMC SERIAL: MC-007\nNAME: COLIN FIRTH\nNRIC: SXXXX111C\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. HAYDON (MCR 6612)\n[STAMP: CONFIDENTIAL]"

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:
"MI6 INSURANCE\nCLAIM FORM #MI6-102\nINSURED: MARK STRONG\nCLAIMANT: MARK STRONG\nDATE: 2025-11-14\nDETAILS: KNEE SPRAIN FROM FIELD EXERCISE TRAINING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MARK STRONG",
    "Insured_confidence_score": 98,
    "Claimant": "MARK STRONG",
    "Claimant_confidence_score": 98,
    "Details": "KNEE SPRAIN FROM FIELD EXERCISE TRAINING.",
    "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:
"STUDIOCANAL\nPAYSLIP\nNAME: BEN WHISHAW\nNRIC: SXXXX001B\nPAID DATE: 2025-12-28\nBASIC: 15000\nBONUS: 0\nALLOWANCE: 1000\nGROSS: 16000.00\n(cid:12) TECH DEPT"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001B",
        "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: EMILY BLUNT\nDOB: 23/02/1983\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-772101",
    "ID_Number_confidence_score": 99,
    "Name": "EMILY BLUNT",
    "Name_confidence_score": 99,
    "Date_of_Birth": "23/02/1983",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BAYSIDE CLINIC\nINV #BC-991\nDATE: 03-FEB-2026\nPATIENT: JOHN KRASINSKI\nCONSULTATION: $110.00\nGST: $9.90\nTOTAL: $119.90\nREMARKS: NOSE BLEED TREATMENT.\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": "NOSE BLEED TREATMENT.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ABBOTT CLINIC\nMC NO: MC-A1\nNAME: MILLICENT SIMMONDS\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. LEE (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:
"PARAMOUNT INS\nCLAIM FORM\nINSURED: NOAH JUPE\nCLAIMANT: NOAH JUPE\nDATE: 2025-05-15\nDETAILS: CUT ON FOOT FROM STEPPING ON GLASS.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "NOAH JUPE",
    "Insured_confidence_score": 96,
    "Claimant": "NOAH JUPE",
    "Claimant_confidence_score": 96,
    "Details": "CUT ON FOOT FROM STEPPING ON GLASS.",
    "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:
"SUNDAY NIGHT ENT\nPAYSLIP\nNAME: CIARAN HINDS\nNRIC: SXXXX992C\nPAID DATE: 2025-11-30\nBASIC: 25000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 31000.00\n[FOOTER: DRAMA 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": 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: BRYAN CRANSTON\nDOB: 07-03-1956\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "BRYAN CRANSTON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07-03-1956",
    "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:
"ALBUQUERQUE MEDICAL\nBILL: AM-992\nDATE: 12/JAN/2026\nPATIENT: AARON PAUL\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY CASH.\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 CASH.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. WHITE CLINIC\nMC SERIAL: BB-01\nNAME: ANNA GUNN\nNRIC: SXXXX441A\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. WALTER (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:
"AMC INSURANCE\nCLAIM FORM\nINSURED: DEAN NORRIS\nCLAIMANT: DEAN NORRIS\nDATE: 2025-06-14\nDETAILS: BACK PAIN FROM HEAVY LIFTING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "DEAN NORRIS",
    "Insured_confidence_score": 96,
    "Claimant": "DEAN NORRIS",
    "Claimant_confidence_score": 96,
    "Details": "BACK PAIN FROM HEAVY LIFTING.",
    "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:
"SONY PICTURES TV\nPAYSLIP\nNAME: BOB ODENKIRK\nNRIC: SXXXX112B\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": "SXXXX112B",
        "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: JONATHAN BANKS\nDOB: 31-01-1947\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "JONATHAN BANKS",
    "Name_confidence_score": 98,
    "Date_of_Birth": "31-01-1947",
    "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: RHEA SEEHORN\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY CORPORATE VISA.\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 CORPORATE VISA.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MCGILL CLINIC\nMC SERIAL: BCS-01\nNAME: PATRICK FABIAN\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. HAMLIN (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:
"ALBUQUERQUE INS\nCLAIM FORM\nINSURED: MICHAEL MANDO\nCLAIMANT: MICHAEL MANDO\nDATE: 2025-08-22\nDETAILS: SHOULDER INJURY FROM FALL DURING STUNT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MICHAEL MANDO",
    "Insured_confidence_score": 97,
    "Claimant": "MICHAEL MANDO",
    "Claimant_confidence_score": 97,
    "Details": "SHOULDER INJURY FROM FALL DURING STUNT.",
    "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:
"AMC NETWORKS\nPAYSLIP\nNAME: TONY DALTON\nNRIC: SXXXX007T\nPAID DATE: 2025-10-31\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 21000.00\n[FOOTER: CAST 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": 21000.0,
        "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 MEXICO\nID CARD\nID: MX-9922110-L\nNAME: TONY DALTON\nDOB: 13/02/1975\nNATIONALITY: MEXICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "MX-9922110-L",
    "ID_Number_confidence_score": 99,
    "Name": "TONY DALTON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "13/02/1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "MEXICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PARIS MEDICAL CENTER\nINV: PMC-2026-651\nDATE: 16-JAN-2026\nPATIENT: LÉA SEYDOUX\n---------------------------\nCONSULTATION: 120.00 EUR\nDIAGNOSTICS: 80.00 EUR\nGST (9%): 18.00 EUR\nTOTAL: 218.00 EUR\nREMARKS: PAID BY VISA CONTACTLESS.\n[STAMP: ACQUITTÉ]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16-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 VISA CONTACTLESS.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SWANN'S CLINIC\nMC NO: FR-882\nNAME: VINCENT CASSEL\nNRIC: SXXXX551V\nUNFIT FROM: 2026/01/18 TO: 2026/01/22\nTYPE: Hospitalization (Surgical)\n[STAMP: POST-OP RECOVERY]\nDR. MOREAU (MCR 4412)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2026/01/18",
    "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:
"EUROPEAN ASSURANCE\nCLAIM FORM #EA-11\nINSURED: EVA GREEN\nCLAIMANT: EVA GREEN\nDATE: 12/11/2025\nDETAILS: EYE INFECTION FROM PROLONGED LENS WEAR ON SET.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "EVA GREEN",
    "Insured_confidence_score": 97,
    "Claimant": "EVA GREEN",
    "Claimant_confidence_score": 97,
    "Details": "EYE INFECTION FROM PROLONGED LENS WEAR ON SET.",
    "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:
"PATHE FILMS\nPAYSLIP\nNAME: MARION COTILLARD\nNRIC: SXXXX332M\nPAID DATE: 2026-01-25\nBASIC: 45000\nBONUS: 10000\nALLOWANCE: 2000\nGROSS: 57000.00\n[FOOTER: PRODUCTION DEPT]"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RÉPUBLIQUE FRANÇAISE\nID CARD\nID: FR-0099881\nNAME: LÉA SEYDOUX\nDOB: 01/07/1985\nNATIONALITY: FRENCH\n[LOGO: MARIANNE SEAL]\nEXPIRY: 2036"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "FR-0099881",
    "ID_Number_confidence_score": 99,
    "Name": "L\u00c9A SEYDOUX",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/07/1985",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "FRENCH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"QUEBEC HEALTH\nINV: QH-7721\nDATE: 14 FEB 2026\nPATIENT: RYAN REYNOLDS\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY CREDIT CARD.\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 BY CREDIT CARD.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. POOL'S CLINIC\nMC SERIAL: MC-VNC\nNAME: MORENA BACCARIN\nNRIC: SXXXX111M\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Outpatient Leave\nDR. WILSON (MCR 6612)\n[STAMP: RECOVERY WARD]"

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:
"CANADA LIFE INS\nCLAIM FORM #CL-102\nINSURED: SETH ROGEN\nCLAIMANT: SETH ROGEN\nDATE: 2025-11-14\nDETAILS: BACK STRAIN FROM SLIP ON ICY SIDEWALK.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SETH ROGEN",
    "Insured_confidence_score": 98,
    "Claimant": "SETH ROGEN",
    "Claimant_confidence_score": 98,
    "Details": "BACK STRAIN FROM SLIP ON ICY SIDEWALK.",
    "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:
"VANCOUVER ENT\nPAYSLIP\nNAME: RACHEL MCADAMS\nNRIC: SXXXX001R\nPAID DATE: 2025-12-28\nBASIC: 32000\nBONUS: 0\nALLOWANCE: 3000\nGROSS: 35000.00\n(cid:12) EXECUTIVE GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001R",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 35000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 3000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


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

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ONTARIO MEDICAL\nINV #OM-991\nDATE: 03-FEB-2026\nPATIENT: WILL ARNETT\nCONSULTATION: $100.00\nGST: $13.00\nTOTAL: $113.00\nREMARKS: EAR INFECTION TREATMENT.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "113.00",
    "Amt_confidence_score": 99,
    "GST": "13.00",
    "GST_confidence_score": 94,
    "Remarks": "EAR INFECTION TREATMENT.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. BLUTH CLINIC\nMC NO: MC-AD\nNAME: JASON BATEMAN\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. MICHAEL (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:
"SUN LIFE INSURANCE\nCLAIM FORM\nINSURED: MICHAEL CERA\nCLAIMANT: MICHAEL CERA\nDATE: 2025-05-15\nDETAILS: MINOR SCRAPE FROM COLLISION DURING COMEDY SKIT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MICHAEL CERA",
    "Insured_confidence_score": 96,
    "Claimant": "MICHAEL CERA",
    "Claimant_confidence_score": 96,
    "Details": "MINOR SCRAPE FROM COLLISION DURING COMEDY SKIT.",
    "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:
"FOX ENT\nPAYSLIP\nNAME: PORTIA DE ROSSI\nNRIC: SXXXX992P\nPAID DATE: 2025-11-30\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: TALENT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992P",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 26000.0,
        "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: WILL FERRELL\nDOB: 16-07-1967\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "WILL FERRELL",
    "Name_confidence_score": 99,
    "Date_of_Birth": "16-07-1967",
    "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:
"BEVERLY HILLS MEDICAL\nBILL: BH-992\nDATE: 12/JAN/2026\nPATIENT: PAUL RUDD\nCONSULTATION: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: PAID BY APPLE PAY.\nPAGE 1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ANT CLINIC\nMC SERIAL: MC-651\nNAME: EVANGELINE LILLY\nNRIC: SXXXX441E\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. PYM (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:
"MARVEL INSURANCE\nCLAIM FORM\nINSURED: MICHAEL DOUGLAS\nCLAIMANT: MICHAEL DOUGLAS\nDATE: 2025-06-14\nDETAILS: KNEE PAIN FROM ACTION SEQUENCE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MICHAEL DOUGLAS",
    "Insured_confidence_score": 96,
    "Claimant": "MICHAEL DOUGLAS",
    "Claimant_confidence_score": 96,
    "Details": "KNEE PAIN FROM ACTION SEQUENCE.",
    "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:
"PYM TECHNOLOGIES\nPAYSLIP\nNAME: MICHELLE PFEIFFER\nNRIC: SXXXX112M\nPAID DATE: 2025-11-30\nBASIC: 40000\nBONUS: 10000\nALLOWANCE: 5000\nGROSS: 55000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112M",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 55000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 5000.0,
        "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: KATHRYN NEWTON\nDOB: 08-02-1997\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "KATHRYN NEWTON",
    "Name_confidence_score": 98,
    "Date_of_Birth": "08-02-1997",
    "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:
"SANTA MONICA MED\nBILL: SM-102\nDATE: 12/JAN/2026\nPATIENT: JONAH HILL\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY PERSONAL AMEX.\nPAGE 1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SCHMIDT CLINIC\nMC SERIAL: MC-SH\nNAME: MILES TELLER\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. TOP (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:
"PARAMOUNT INS\nCLAIM FORM\nINSURED: GLEN POWELL\nCLAIMANT: GLEN POWELL\nDATE: 2025-08-22\nDETAILS: NECK STIFFNESS FROM HIGH-G FILMING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "GLEN POWELL",
    "Insured_confidence_score": 97,
    "Claimant": "GLEN POWELL",
    "Claimant_confidence_score": 97,
    "Details": "NECK STIFFNESS FROM HIGH-G FILMING.",
    "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:
"SKYDANCE MEDIA\nPAYSLIP\nNAME: MONICA BARBARO\nNRIC: SXXXX007M\nPAID DATE: 2025-10-31\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 21000.00\n[FOOTER: TOP GUN DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007M",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 21000.0,
        "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-P\nNAME: LEWIS PULLMAN\nDOB: 29/01/1993\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-P",
    "ID_Number_confidence_score": 99,
    "Name": "LEWIS PULLMAN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "29/01/1993",
    "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:
"SINGAPORE GENERAL HOSPITAL\nINV: SGH-2026-676\nDATE: 16 JAN 2026\nPATIENT: CILLIAN MURPHY\nDEPT: A&E DEPARTMENT\n---------------------------\nCONSULTATION: $120.00\nINVESTIGATIONS: $340.00\nGST 9%: $41.40\nTOTAL AMOUNT: $501.40\nREMARKS: BILL SETTLED BY CORPORATE INSURANCE.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "501.40",
    "Amt_confidence_score": 99,
    "GST": "41.40",
    "GST_confidence_score": 95,
    "Remarks": "BILL SETTLED BY CORPORATE INSURANCE.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. CRANE'S CLINIC\nMC NO: AR-677\nNAME: TOM HARDY\nNRIC: SXXXX677H\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: OUTPATIENT CARE]\nDR. JONATHAN (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:
"GOTHAM INSURANCE\nCLAIM FORM #G-101\nINSURED: GARY OLDMAN\nCLAIMANT: GARY OLDMAN\nDATE: 12/11/2025\nDETAILS: FRACTURED RIB DURING ACTION SEQUENCE REHEARSAL.\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": "FRACTURED RIB DURING ACTION SEQUENCE REHEARSAL.",
    "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:
"REPUBLIC OF THE UK\nID CARD\nID: UK-0011221\nNAME: CHRISTIAN BALE\nDOB: 30/01/1974\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-0011221",
    "ID_Number_confidence_score": 99,
    "Name": "CHRISTIAN BALE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "30/01/1974",
    "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:
"ST. JUDE MEDICAL\nINV: SJ-7721\nDATE: 14 FEB 2026\nPATIENT: ROBERT DE NIRO\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY CASH AT COUNTER.\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 CASH AT COUNTER.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. VITO CLINIC\nMC SERIAL: MC-GOD\nNAME: AL PACINO\nNRIC: SXXXX111A\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. CORLEONE (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:
"LEGACY INSURANCE\nCLAIM FORM #LI-102\nINSURED: JOE PESCI\nCLAIMANT: JOE PESCI\nDATE: 2025-11-14\nDETAILS: HAND INJURY DURING KITCHEN SCENE FILMING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JOE PESCI",
    "Insured_confidence_score": 98,
    "Claimant": "JOE PESCI",
    "Claimant_confidence_score": 98,
    "Details": "HAND INJURY DURING KITCHEN SCENE FILMING.",
    "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:
"PARAMOUNT ASIA\nPAYSLIP\nNAME: RAY LIOTTA\nNRIC: SXXXX001R\nPAID DATE: 2025-12-28\nBASIC: 30000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 35000.00\n(cid:12) EXECUTIVE GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001R",
        "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: DIANE KEATON\nDOB: 05/01/1946\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-772101",
    "ID_Number_confidence_score": 99,
    "Name": "DIANE KEATON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "05/01/1946",
    "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:
"HARBOUR MEDICAL\nINV #HM-992\nDATE: 03-FEB-2026\nPATIENT: LEONARDO DICAPRIO\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY AMEX.\n[STAMP: PAID]"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. COBB CLINIC\nMC NO: MC-001\nNAME: JOSEPH GORDON-LEVITT\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. ARTHUR (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:
"DREAM INSURANCE\nCLAIM FORM\nINSURED: TOM HARDY\nCLAIMANT: TOM HARDY\nDATE: 2025-05-15\nDETAILS: MINOR BRUISING FROM ACTION STUNT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "TOM HARDY",
    "Insured_confidence_score": 96,
    "Claimant": "TOM HARDY",
    "Claimant_confidence_score": 96,
    "Details": "MINOR BRUISING FROM ACTION STUNT.",
    "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:
"LEGENDARY ENT\nPAYSLIP\nNAME: MARION COTILLARD\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: TALENT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 26000.0,
        "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 FRANCE\nID CARD\nID: FR-882100X\nNAME: MARION COTILLARD\nDOB: 30-09-1975\nNATIONALITY: FRENCH\n[LOGO: MARIANNE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "FR-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "MARION COTILLARD",
    "Name_confidence_score": 99,
    "Date_of_Birth": "30-09-1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "FRENCH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SOUTH MEDICAL\nBILL: SM-992\nDATE: 12/JAN/2026\nPATIENT: BRAD PITT\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY VISA GOLD.\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 VISA GOLD.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. TYLER CLINIC\nMC SERIAL: MC-FC\nNAME: EDWARD NORTON\nNRIC: SXXXX441E\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. DURDEN (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:
"UNDERGROUND INS\nCLAIM FORM\nINSURED: HELENA BONHAM CARTER\nCLAIMANT: HELENA BONHAM CARTER\nDATE: 2025-06-14\nDETAILS: INSOMNIA TREATMENT AND CONSULTATION.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "HELENA BONHAM CARTER",
    "Insured_confidence_score": 96,
    "Claimant": "HELENA BONHAM CARTER",
    "Claimant_confidence_score": 96,
    "Details": "INSOMNIA TREATMENT AND CONSULTATION.",
    "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:
"20TH CENTURY FOX\nPAYSLIP\nNAME: MEAT LOAF\nNRIC: SXXXX112M\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 21000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112M",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 21000.0,
        "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: JARED LETO\nDOB: 26-12-1971\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "JARED LETO",
    "Name_confidence_score": 98,
    "Date_of_Birth": "26-12-1971",
    "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:
"METRO CLINIC\nBILL: MC-102\nDATE: 12/JAN/2026\nPATIENT: SCARLETT JOHANSSON\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY CREDIT CARD.\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 CREDIT CARD.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. NAT CLINIC\nMC SERIAL: MC-BW\nNAME: FLORENCE PUGH\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. YELENA (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:
"RED ROOM INS\nCLAIM FORM\nINSURED: RACHEL WEISZ\nCLAIMANT: RACHEL WEISZ\nDATE: 2025-08-22\nDETAILS: SHOULDER PAIN FROM STUNT COORDINATION.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RACHEL WEISZ",
    "Insured_confidence_score": 97,
    "Claimant": "RACHEL WEISZ",
    "Claimant_confidence_score": 97,
    "Details": "SHOULDER PAIN FROM STUNT COORDINATION.",
    "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:
"MARVEL STUDIOS\nPAYSLIP\nNAME: DAVID HARBOUR\nNRIC: SXXXX007D\nPAID DATE: 2025-10-31\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 21000.00\n[FOOTER: CAST DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007D",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 21000.0,
        "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: OLGA KURYLENKO\nDOB: 14/11/1979\nNATIONALITY: UKRAINIAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-9922110-O",
    "ID_Number_confidence_score": 99,
    "Name": "OLGA KURYLENKO",
    "Name_confidence_score": 99,
    "Date_of_Birth": "14/11/1979",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "UKRAINIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MUNICH GENERAL HOSPITAL\nINV: MGH-701\nDATE: 16 JAN 2026\nPATIENT: MICHAEL FASSBENDER\n---------------------------\nCONSULTATION: 100.00 EUR\nMEDICATION A: 25.00 EUR\nMEDICATION B: 45.00 EUR\nGST (9%): 15.30 EUR\nTOTAL: 185.30 EUR\nREMARKS: PAID BY DEBIT CARD.\n[STAMP: BEZAHLT]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "185.30",
    "Amt_confidence_score": 99,
    "GST": "15.30",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY DEBIT CARD.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LEHNSHERR CLINIC\nMC NO: X-702\nNAME: JAMES MCAVOY\nNRIC: SXXXX702J\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: CERTIFIED UNFIT]\nDR. ERIK (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:
"GLOBAL MUTUAL INS\nCLAIM FORM #GM-703\nINSURED: JENNIFER LAWRENCE\nCLAIMANT: JENNIFER LAWRENCE\nDATE: 12/11/2025\nDETAILS: SKIN IRRITATION FROM PROSTHETIC MAKEUP APPLICATION.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JENNIFER LAWRENCE",
    "Insured_confidence_score": 97,
    "Claimant": "JENNIFER LAWRENCE",
    "Claimant_confidence_score": 97,
    "Details": "SKIN IRRITATION FROM PROSTHETIC MAKEUP APPLICATION.",
    "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:
"20TH CENTURY ASIA\nPAYSLIP\nNAME: NICHOLAS HOULT\nNRIC: SXXXX704N\nPAID DATE: 2026-01-25\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 20500.00\n[FOOTER: BEAST DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX704N",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 20500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 500.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF GERMANY\nID CARD\nID: DE-705511\nNAME: MICHAEL FASSBENDER\nDOB: 02/04/1977\nNATIONALITY: GERMAN\n[LOGO: EAGLE CREST]\nEXPIRY: 2036"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "DE-705511",
    "ID_Number_confidence_score": 99,
    "Name": "MICHAEL FASSBENDER",
    "Name_confidence_score": 99,
    "Date_of_Birth": "02/04/1977",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "GERMAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"OXFORD MEDICAL\nINV: OX-706\nDATE: 14 FEB 2026\nPATIENT: HUGH JACKMAN\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\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": "163.50",
    "Amt_confidence_score": 99,
    "GST": "13.50",
    "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. LOGAN CLINIC\nMC SERIAL: MC-WOLV\nNAME: PATRICK STEWART\nNRIC: SXXXX707P\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. XAVIER (MCR 6612)\n[STAMP: CONFIDENTIAL]"

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:
"MUTANT INSURANCE\nCLAIM FORM #MI-708\nINSURED: IAN MCKELLEN\nCLAIMANT: IAN MCKELLEN\nDATE: 2025-11-14\nDETAILS: LOWER BACK PAIN FROM STUNT RIGGING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "IAN MCKELLEN",
    "Insured_confidence_score": 98,
    "Claimant": "IAN MCKELLEN",
    "Claimant_confidence_score": 98,
    "Details": "LOWER BACK PAIN FROM STUNT RIGGING.",
    "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 ASIA\nPAYSLIP\nNAME: ELIZABETH OLSEN\nNRIC: SXXXX709E\nPAID DATE: 2025-12-28\nBASIC: 25000\nBONUS: 0\nALLOWANCE: 2000\nGROSS: 27000.00\n(cid:12) LEAD ACTRESS"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX709E",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 27000.0,
        "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-710111\nNAME: PAUL BETTANY\nDOB: 27/05/1971\nNATIONALITY: BRITISH\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-710111",
    "ID_Number_confidence_score": 99,
    "Name": "PAUL BETTANY",
    "Name_confidence_score": 99,
    "Date_of_Birth": "27/05/1971",
    "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:
"CITY HEALTH CLINIC\nINV #CH-711\nDATE: 03-FEB-2026\nPATIENT: BENEDICT CUMBERBATCH\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: PAID BY NETS.\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 NETS.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. STRANGE CLINIC\nMC NO: MC-712\nNAME: RACHEL MCADAMS\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. STEPHEN (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:
"SANCTUM INSURANCE\nCLAIM FORM\nINSURED: CHIWETEL EJIOFOR\nCLAIMANT: CHIWETEL EJIOFOR\nDATE: 2025-05-15\nDETAILS: HAND STRAIN FROM MARTIAL ARTS TRAINING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CHIWETEL EJIOFOR",
    "Insured_confidence_score": 96,
    "Claimant": "CHIWETEL EJIOFOR",
    "Claimant_confidence_score": 96,
    "Details": "HAND STRAIN FROM MARTIAL ARTS TRAINING.",
    "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:
"DISNEY ASIA\nPAYSLIP\nNAME: TILDA SWINTON\nNRIC: SXXXX714T\nPAID DATE: 2025-11-30\nBASIC: 35000\nBONUS: 5000\nALLOWANCE: 2000\nGROSS: 42000.00\n[FOOTER: ANCIENT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX714T",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 42000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 2000.0,
        "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-715511\nNAME: BENEDICT WONG\nDOB: 03-07-1971\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-715511",
    "ID_Number_confidence_score": 99,
    "Name": "BENEDICT WONG",
    "Name_confidence_score": 99,
    "Date_of_Birth": "03-07-1971",
    "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:
"QUEENS MEDICAL\nBILL: QM-716\nDATE: 12/JAN/2026\nPATIENT: TOM HOLLAND\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: PAID BY VISA.\nPAGE 1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. STARK CLINIC\nMC SERIAL: MC-717\nNAME: ZENDAYA\nNRIC: SXXXX717Z\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. TONY (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:
"STARK INDUSTRIES INS\nCLAIM FORM\nINSURED: JACOB BATALON\nCLAIMANT: JACOB BATALON\nDATE: 2025-06-14\nDETAILS: ANKLE SPRAIN FROM PHYSICAL TRAINING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JACOB BATALON",
    "Insured_confidence_score": 96,
    "Claimant": "JACOB BATALON",
    "Claimant_confidence_score": 96,
    "Details": "ANKLE SPRAIN FROM PHYSICAL TRAINING.",
    "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:
"SONY PICTURES ASIA\nPAYSLIP\nNAME: MARISA TOMEI\nNRIC: SXXXX719M\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": "SXXXX719M",
        "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-720111\nNAME: JON FAVREAU\nDOB: 19-10-1966\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-720111",
    "ID_Number_confidence_score": 99,
    "Name": "JON FAVREAU",
    "Name_confidence_score": 98,
    "Date_of_Birth": "19-10-1966",
    "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:
"MIDTOWN CLINIC\nBILL: MC-721\nDATE: 12/JAN/2026\nPATIENT: MICHAEL KEATON\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY CORPORATE CARD.\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 CORPORATE CARD.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. TOPOMS CLINIC\nMC SERIAL: MC-722\nNAME: JAKE GYLLENHAAL\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. MYSTERIO (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:
"ILLUSION INSURANCE\nCLAIM FORM\nINSURED: SAMUEL L. JACKSON\nCLAIMANT: SAMUEL L. JACKSON\nDATE: 2025-08-22\nDETAILS: EYE STRAIN FROM CONSTANT MONITOR MONITORING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SAMUEL L. JACKSON",
    "Insured_confidence_score": 97,
    "Claimant": "SAMUEL L. JACKSON",
    "Claimant_confidence_score": 97,
    "Details": "EYE STRAIN FROM CONSTANT MONITOR MONITORING.",
    "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:
"SHIELD ENT\nPAYSLIP\nNAME: COBIE SMULDERS\nNRIC: SXXXX724C\nPAID DATE: 2025-10-31\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 21000.00\n[FOOTER: AGENT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX724C",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 21000.0,
        "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 CANADA\nID CARD\nID: CA-725511\nNAME: COBIE SMULDERS\nDOB: 03/04/1982\nNATIONALITY: CANADIAN\n[LOGO: MAPLE LEAF]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CA-725511",
    "ID_Number_confidence_score": 99,
    "Name": "COBIE SMULDERS",
    "Name_confidence_score": 99,
    "Date_of_Birth": "03/04/1982",
    "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:
"MILANO CENTRALE OSPEDALE\nINV: MCO-726\nDATE: 16 GENNAIO 2026\nPATIENT: MONICA BELLUCCI\n---------------------------\nCONSULTAZIONE: 150.00 EUR\nLABORATORIO: 50.00 EUR\nGST (9%): 18.00 EUR\nTOTAL: 218.00 EUR\nREMARKS: PAGATO CON CARTA DI CREDITO.\n[STAMP: PAGATO]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 GENNAIO 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "218.00",
    "Amt_confidence_score": 99,
    "GST": "18.00",
    "GST_confidence_score": 95,
    "Remarks": "PAGATO CON CARTA DI CREDITO.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MALÈNA CLINIC\nMC NO: IT-727\nNAME: VINCENT CASSEL\nNRIC: SXXXX727V\nUNFIT FROM: 2026-01-18 TO: 2026-01-25\nTYPE: Surgical Procedure\n[STAMP: HOSPITALIZATION REQUIRED]\nDR. RICCI (MCR 4412)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 95,
    "From_Date": "2026-01-18",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-25",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"EUROPA ASSICURAZIONI\nCLAIM FORM #EA-728\nINSURED: ROBERTO BENIGNI\nCLAIMANT: ROBERTO BENIGNI\nDATE: 12/11/2025\nDETAILS: BACK SPASM DURING PHYSICAL COMEDY PERFORMANCE.\nWORKING DAYS: 5\n[STAMP: URGENTE]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ROBERTO BENIGNI",
    "Insured_confidence_score": 97,
    "Claimant": "ROBERTO BENIGNI",
    "Claimant_confidence_score": 97,
    "Details": "BACK SPASM DURING PHYSICAL COMEDY PERFORMANCE.",
    "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:
"CINECITTÀ STUDIOS\nPAYSLIP\nNAME: TONI SERVILLO\nNRIC: SXXXX729T\nPAID DATE: 2026-01-25\nBASIC: 22000\nBONUS: 3000\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: PRODUCTION DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX729T",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 3000.0,
        "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:
"REPUBBLICA ITALIANA\nID CARD\nID: IT-730011\nNAME: MONICA BELLUCCI\nDOB: 30/09/1964\nNATIONALITY: ITALIAN\n[LOGO: STAR CREST]\nEXPIRY: 2036"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IT-730011",
    "ID_Number_confidence_score": 99,
    "Name": "MONICA BELLUCCI",
    "Name_confidence_score": 99,
    "Date_of_Birth": "30/09/1964",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ITALIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MADRID SALUD\nINV: MS-731\nDATE: 14 FEB 2026\nPATIENT: JAVIER BARDEM\nCONSULTATION: $180.00\nGST: $16.20\nTOTAL: $196.20\nREMARKS: PAID BY VISA CONTACTLESS.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "196.20",
    "Amt_confidence_score": 99,
    "GST": "16.20",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA CONTACTLESS.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. CHIGURH CLINIC\nMC SERIAL: MC-SPA\nNAME: PENÉLOPE CRUZ\nNRIC: SXXXX732P\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Outpatient\nDR. SILVA (MCR 6612)\n[STAMP: MEDICINA GENERAL]"

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:
"IBERIA SEGUROS\nCLAIM FORM #IS-733\nINSURED: ANTONIO BANDERAS\nCLAIMANT: ANTONIO BANDERAS\nDATE: 2025-11-14\nDETAILS: SHOULDER DISLOCATION FROM SWORD FIGHT REHEARSAL.\nWORKING DAYS: 5\n[STAMP: APROBADO]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ANTONIO BANDERAS",
    "Insured_confidence_score": 98,
    "Claimant": "ANTONIO BANDERAS",
    "Claimant_confidence_score": 98,
    "Details": "SHOULDER DISLOCATION FROM SWORD FIGHT REHEARSAL.",
    "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:
"MEDIA PRO ASIA\nPAYSLIP\nNAME: PEDRO ALMODÓVAR\nNRIC: SXXXX734P\nPAID DATE: 2025-12-28\nBASIC: 40000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 45000.00\n(cid:12) DIRECTOR GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX734P",
        "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:
"REINO DE ESPAÑA\nID CARD\nID: ES-735511\nNAME: JAVIER BARDEM\nDOB: 01/03/1969\nNATIONALITY: SPANISH\n[LOGO: CROWN SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "ES-735511",
    "ID_Number_confidence_score": 99,
    "Name": "JAVIER BARDEM",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/03/1969",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SPANISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BARCELONA MEDICAL\nINV #BM-736\nDATE: 03-FEB-2026\nPATIENT: ROSY DE PALMA\nCONSULTATION: $110.00\nGST: $9.90\nTOTAL: $119.90\nREMARKS: PAID BY DEBIT.\n[STAMP: PAGADO]"

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": "PAID BY DEBIT.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. GALA CLINIC\nMC NO: MC-737\nNAME: SALVADOR DALÍ\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. SURREAL (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:
"ART INSURANCE\nCLAIM FORM\nINSURED: JOAN MIRÓ\nCLAIMANT: JOAN MIRÓ\nDATE: 2025-05-15\nDETAILS: HAND FATIGUE FROM EXTENDED STUDIO SESSIONS.\nWORKING DAYS: 5\n[STAMP: URGENTE]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JOAN MIR\u00d3",
    "Insured_confidence_score": 96,
    "Claimant": "JOAN MIR\u00d3",
    "Claimant_confidence_score": 96,
    "Details": "HAND FATIGUE FROM EXTENDED STUDIO SESSIONS.",
    "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:
"EL DESEO FILMS\nPAYSLIP\nNAME: MARISA PAREDES\nNRIC: SXXXX739M\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 18000.00\n[FOOTER: TALENT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX739M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 18000.0,
        "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:
"REINO DE ESPAÑA\nID CARD\nID: ES-740511\nNAME: ANA DE ARMAS\nDOB: 30-04-1988\nNATIONALITY: CUBAN-SPANISH\n[LOGO: CROWN SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "ES-740511",
    "ID_Number_confidence_score": 99,
    "Name": "ANA DE ARMAS",
    "Name_confidence_score": 99,
    "Date_of_Birth": "30-04-1988",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "CUBAN-SPANISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HAVANA MEDICAL\nBILL: HM-741\nDATE: 12/JAN/2026\nPATIENT: BEN AFFLECK\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY VISA BLACK.\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 VISA BLACK.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. KNIVES CLINIC\nMC SERIAL: MC-742\nNAME: DANIEL CRAIG\nNRIC: SXXXX742D\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. BLANC (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:
"THROMBEY INS\nCLAIM FORM\nINSURED: JAMIE LEE CURTIS\nCLAIMANT: JAMIE LEE CURTIS\nDATE: 2025-06-14\nDETAILS: WRIST SPRAIN FROM FALL DURING INTERROGATION SCENE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JAMIE LEE CURTIS",
    "Insured_confidence_score": 96,
    "Claimant": "JAMIE LEE CURTIS",
    "Claimant_confidence_score": 96,
    "Details": "WRIST SPRAIN FROM FALL DURING INTERROGATION SCENE.",
    "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 ASIA\nPAYSLIP\nNAME: CHRISTOPHER PLUMMER\nNRIC: SXXXX744C\nPAID DATE: 2025-11-30\nBASIC: 30000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 35000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX744C",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 35000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF CANADA\nID CARD\nID: CA-745511\nNAME: CHRISTOPHER PLUMMER\nDOB: 13-12-1929\nNATIONALITY: CANADIAN\n[LOGO: MAPLE LEAF]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CA-745511",
    "ID_Number_confidence_score": 99,
    "Name": "CHRISTOPHER PLUMMER",
    "Name_confidence_score": 98,
    "Date_of_Birth": "13-12-1929",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "CANADIAN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WESTSIDE CLINIC\nBILL: WC-746\nDATE: 12/JAN/2026\nPATIENT: RACHEL ZEGLER\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY PERSONAL AMEX.\nPAGE 1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ANITA CLINIC\nMC SERIAL: MC-WSS\nNAME: ARIANA DEBOSE\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. TONY (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:
"AMBLIN INSURANCE\nCLAIM FORM\nINSURED: RITA MORENO\nCLAIMANT: RITA MORENO\nDATE: 2025-08-22\nDETAILS: KNEE STIFFNESS FROM DANCE REHEARSALS.\nWORKING DAYS: 5\n[STAMP: URGENTE]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RITA MORENO",
    "Insured_confidence_score": 97,
    "Claimant": "RITA MORENO",
    "Claimant_confidence_score": 97,
    "Details": "KNEE STIFFNESS FROM DANCE REHEARSALS.",
    "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:
"20TH CENTURY STUDIOS\nPAYSLIP\nNAME: MIKE FAIST\nNRIC: SXXXX749F\nPAID DATE: 2025-10-31\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 21000.00\n[FOOTER: CAST DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX749F",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 21000.0,
        "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-750111\nNAME: ANSEL ELGORT\nDOB: 14/03/1994\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-750111",
    "ID_Number_confidence_score": 99,
    "Name": "ANSEL ELGORT",
    "Name_confidence_score": 99,
    "Date_of_Birth": "14/03/1994",
    "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:
"SYDNEY CENTRAL HEALTH\nINV: SCH-751\nDATE: 16 JAN 2026\nPATIENT: HUGH JACKMAN\n---------------------------\nCONSULTATION: $180.00\nPHYSIOTHERAPY: $95.00\nGST 10%: $27.50\nTOTAL AMOUNT: $302.50\nREMARKS: PAID BY MEDICARE & GAP CASH.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "302.50",
    "Amt_confidence_score": 99,
    "GST": "27.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY MEDICARE & GAP CASH.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LOGAN'S CLINIC\nMC NO: AU-752\nNAME: NICOLE KIDMAN\nNRIC: SXXXX752N\nUNFIT FROM: 2026-01-18 TO: 2026-01-22\nTYPE: MC\n[STAMP: CLINICALLY UNFIT]\nDR. HOWLETT (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": "2026-01-22",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AUST-INSURE\nCLAIM FORM #AI-753\nINSURED: MARGOT ROBBIE\nCLAIMANT: MARGOT ROBBIE\nDATE: 12/11/2025\nDETAILS: HEAT EXHAUSTION DURING OUTDOOR FILMING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MARGOT ROBBIE",
    "Insured_confidence_score": 97,
    "Claimant": "MARGOT ROBBIE",
    "Claimant_confidence_score": 97,
    "Details": "HEAT EXHAUSTION DURING OUTDOOR FILMING.",
    "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:
"ROADSHOW FILMS\nPAYSLIP\nNAME: CATE BLANCHETT\nNRIC: SXXXX754C\nPAID DATE: 2026-01-25\nBASIC: 45000\nBONUS: 5000\nALLOWANCE: 2500\nGROSS: 52500.00\n[FOOTER: ACTORS GUILD]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX754C",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 52500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 2500.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AUSTRALIA ID (NSW)\nID CARD\nID: NSW-0099112\nNAME: CHRIS HEMSWORTH\nDOB: 11/08/1983\nNATIONALITY: AUSTRALIAN\n[LOGO: KANGAROO EMBLEM]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "NSW-0099112",
    "ID_Number_confidence_score": 99,
    "Name": "CHRIS HEMSWORTH",
    "Name_confidence_score": 99,
    "Date_of_Birth": "11/08/1983",
    "Date_of_Visit_confidence_score": 98,
    "Nationality": "AUSTRALIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MELBOURNE MEDICAL\nINV: MM-756\nDATE: 14 FEB 2026\nPATIENT: LIAM HEMSWORTH\nCONSULTATION: $150.00\nGST: $15.00\nTOTAL: $165.00\nREMARKS: PAID BY CREDIT CARD.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "165.00",
    "Amt_confidence_score": 99,
    "GST": "15.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CREDIT CARD.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. THOR CLINIC\nMC SERIAL: MC-ODIN\nNAME: SAM WORTHINGTON\nNRIC: SXXXX757S\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. BLAKE (MCR 6612)\n[STAMP: RECOVERY UNIT]"

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:
"PACIFIC INSURANCE\nCLAIM FORM #PI-758\nINSURED: TONI COLLETTE\nCLAIMANT: TONI COLLETTE\nDATE: 2025-11-14\nDETAILS: VOCAL CORD STRAIN FROM INTENSE PERFORMANCE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "TONI COLLETTE",
    "Insured_confidence_score": 98,
    "Claimant": "TONI COLLETTE",
    "Claimant_confidence_score": 98,
    "Details": "VOCAL CORD STRAIN FROM INTENSE PERFORMANCE.",
    "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:
"WETA FX NZ\nPAYSLIP\nNAME: KARL URBAN\nNRIC: SXXXX759K\nPAID DATE: 2025-12-28\nBASIC: 28000\nBONUS: 0\nALLOWANCE: 3000\nGROSS: 31000.00\n(cid:12) VFX DEPT"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX759K",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 31000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 3000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NEW ZEALAND ID\nID CARD\nID: NZ-760111\nNAME: RUSSELL CROWE\nDOB: 07/04/1964\nNATIONALITY: NEW ZEALANDER\n[LOGO: SILVER FERN]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "NZ-760111",
    "ID_Number_confidence_score": 99,
    "Name": "RUSSELL CROWE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07/04/1964",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "NEW ZEALANDER",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AUCKLAND HEALTH\nINV #AH-761\nDATE: 03-FEB-2026\nPATIENT: TAIKA WAITITI\nCONSULTATION: $140.00\nGST: $21.00\nTOTAL: $161.00\nREMARKS: PAID BY EFTPOS.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "161.00",
    "Amt_confidence_score": 99,
    "GST": "21.00",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY EFTPOS.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. KIWI CLINIC\nMC NO: MC-762\nNAME: ROSE MCIVER\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. BELL (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:
"SOUTHERN INS\nCLAIM FORM\nINSURED: ANNA PAQUIN\nCLAIMANT: ANNA PAQUIN\nDATE: 2025-05-15\nDETAILS: ANKLE SPRAIN DURING OUTDOOR SCENE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ANNA PAQUIN",
    "Insured_confidence_score": 96,
    "Claimant": "ANNA PAQUIN",
    "Claimant_confidence_score": 96,
    "Details": "ANKLE SPRAIN DURING OUTDOOR SCENE.",
    "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:
"TVNZ PAYROLL\nPAYSLIP\nNAME: LUCY LAWLESS\nNRIC: SXXXX764L\nPAID DATE: 2025-11-30\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: BROADCAST DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX764L",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 26000.0,
        "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-765111\nNAME: ELIJAH WOOD\nDOB: 28-01-1981\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-765111",
    "ID_Number_confidence_score": 99,
    "Name": "ELIJAH WOOD",
    "Name_confidence_score": 99,
    "Date_of_Birth": "28-01-1981",
    "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:
"WELLINGTON CLINIC\nBILL: WC-766\nDATE: 12/JAN/2026\nPATIENT: SEAN ASTIN\nCONSULTATION: $130.00\nGST: $19.50\nTOTAL: $149.50\nREMARKS: PAID BY VISA.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "149.50",
    "Amt_confidence_score": 99,
    "GST": "19.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. FRODO CLINIC\nMC SERIAL: MC-767\nNAME: DOMINIC MONAGHAN\nNRIC: SXXXX767D\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. SAM (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: BILLY BOYD\nCLAIMANT: BILLY BOYD\nDATE: 2025-06-14\nDETAILS: FINGER LACERATION DURING PROP HANDLING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "BILLY BOYD",
    "Insured_confidence_score": 96,
    "Claimant": "BILLY BOYD",
    "Claimant_confidence_score": 96,
    "Details": "FINGER LACERATION DURING PROP HANDLING.",
    "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 ASIA\nPAYSLIP\nNAME: ORLANDO BLOOM\nNRIC: SXXXX769O\nPAID DATE: 2025-11-30\nBASIC: 25000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 30000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX769O",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 30000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 5000.0,
        "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-770111\nNAME: VIGGO MORTENSEN\nDOB: 20-10-1958\nNATIONALITY: DANISH-AMERICAN\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-770111",
    "ID_Number_confidence_score": 99,
    "Name": "VIGGO MORTENSEN",
    "Name_confidence_score": 98,
    "Date_of_Birth": "20-10-1958",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "DANISH-AMERICAN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RIVENDELL CLINIC\nBILL: RC-771\nDATE: 12/JAN/2026\nPATIENT: LIV TYLER\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY PERSONAL CARD.\nPAGE 1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ELROND CLINIC\nMC SERIAL: MC-772\nNAME: HUGO WEAVING\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. SMITH (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:
"MATRIX INSURANCE\nCLAIM FORM\nINSURED: KEANU REEVES\nCLAIMANT: KEANU REEVES\nDATE: 2025-08-22\nDETAILS: KNEE INJURY FROM MOTORCYCLE STUNT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "KEANU REEVES",
    "Insured_confidence_score": 97,
    "Claimant": "KEANU REEVES",
    "Claimant_confidence_score": 97,
    "Details": "KNEE INJURY FROM MOTORCYCLE STUNT.",
    "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 NZ\nPAYSLIP\nNAME: CARRIE-ANNE MOSS\nNRIC: SXXXX774C\nPAID DATE: 2025-10-31\nBASIC: 22000\nBONUS: 3000\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: CAST DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX774C",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 3000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}