Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF CANADA\nID CARD\nID: CA-775111\nNAME: LAURENCE FISHBURNE\nDOB: 30/07/1961\nNATIONALITY: AMERICAN\n[LOGO: MAPLE LEAF]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CA-775111",
    "ID_Number_confidence_score": 99,
    "Name": "LAURENCE FISHBURNE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "30/07/1961",
    "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:
"NATIONAL UNIVERSITY HOSPITAL\nINV: NUH-776\nDATE: 16 JAN 2026\nPATIENT: CILLIAN MURPHY\n---------------------------\nCONSULTATION: $120.00\nX-RAY: $85.00\nGST 9%: $18.45\nTOTAL AMOUNT: $223.45\nREMARKS: PAID BY NETS.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "223.45",
    "Amt_confidence_score": 99,
    "GST": "18.45",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY NETS.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SHELBY'S CLINIC\nMC NO: SG-777\nNAME: PAUL ANDERSON\nNRIC: SXXXX777A\nUNFIT FROM: 2026-01-18 TO: 2026-01-19\nTYPE: MC\n[STAMP: MEDICAL LEAVE]\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": "2026-01-19",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PRUDENTIAL ASSURANCE\nCLAIM FORM #PR-778\nINSURED: TOM HARDY\nCLAIMANT: TOM HARDY\nDATE: 12/11/2025\nDETAILS: EYE INFECTION REQUIRING SPECIALIST CARE.\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": "EYE INFECTION REQUIRING SPECIALIST CARE.",
    "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:
"BBC STUDIOS ASIA\nPAYSLIP\nNAME: HELEN MCCRORY\nNRIC: SXXXX779H\nPAID DATE: 2026-01-25\nBASIC: $8000\nBONUS: $0\nALLOWANCE: $500\nCPF DEDUCTION: $1600\nGROSS: 8500.00\n[FOOTER: PAYROLL DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX779H",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 8500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "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 SINGAPORE\nIDENTITY CARD\nNRIC: S1234780Z\nNAME: SOPHIE RUNDLE\nDOB: 21/04/1988\nSEX: F\nNATIONALITY: SINGAPORE CITIZEN\n[LOGO: LION HEAD]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "S1234780Z",
    "ID_Number_confidence_score": 99,
    "Name": "SOPHIE RUNDLE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "21/04/1988",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SINGAPORE CITIZEN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MOUNT ELIZABETH NOVENA\nINV: ME-781\nDATE: 14 FEB 2026\nPATIENT: JOE COLE\nCONSULTATION: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: PAID BY AMEX.\nPAGE 1/1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. FINNAN CLINIC\nMC SERIAL: MC-PEAKY\nNAME: HARRY KIRTON\nNRIC: SXXXX782H\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. POLLY (MCR 6612)\n[STAMP: WARD B]"

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:
"GREAT EASTERN INS\nCLAIM FORM #GE-783\nINSURED: NED DENNEHY\nCLAIMANT: NED DENNEHY\nDATE: 2025-11-14\nDETAILS: FRACTURED WRIST FROM FALL.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "NED DENNEHY",
    "Insured_confidence_score": 98,
    "Claimant": "NED DENNEHY",
    "Claimant_confidence_score": 98,
    "Details": "FRACTURED WRIST FROM FALL.",
    "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:
"TIGER ASPECT ENT\nPAYSLIP\nNAME: PACKY LEE\nNRIC: SXXXX784P\nPAID DATE: 2025-12-28\nBASIC: 5000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 5500.00\n(cid:12) STAFF GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX784P",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 5500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 500.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SINGAPORE\nIDENTITY CARD\nNRIC: S7761101A\nNAME: IAN PECK\nDOB: 05/05/1977\nNATIONALITY: SINGAPORE CITIZEN\n[LOGO: LION HEAD]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "S7761101A",
    "ID_Number_confidence_score": 99,
    "Name": "IAN PECK",
    "Name_confidence_score": 99,
    "Date_of_Birth": "05/05/1977",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SINGAPORE CITIZEN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TAN TOCK SENG HOSPITAL\nINV #TTSH-786\nDATE: 03-FEB-2026\nPATIENT: ANNABELLE WALLIS\nCONSULTATION: $110.00\nGST: $9.90\nTOTAL: $119.90\nREMARKS: PAID BY GRABPAY.\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": "PAID BY GRABPAY.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. GRACE CLINIC\nMC NO: MC-787\nNAME: NATASHA O'KEEFFE\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. BURGESS (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:
"AIA SINGAPORE\nCLAIM FORM\nINSURED: KINGSLEY BEN-ADIR\nCLAIMANT: KINGSLEY BEN-ADIR\nDATE: 2025-05-15\nDETAILS: SHOULDER STRAIN FROM LIFTING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "KINGSLEY BEN-ADIR",
    "Insured_confidence_score": 96,
    "Claimant": "KINGSLEY BEN-ADIR",
    "Claimant_confidence_score": 96,
    "Details": "SHOULDER STRAIN FROM LIFTING.",
    "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:
"CARYN MANDABACH ASIA\nPAYSLIP\nNAME: SAM CLAFLIN\nNRIC: SXXXX789S\nPAID DATE: 2025-11-30\nBASIC: 12000\nBONUS: 3000\nALLOWANCE: 1000\nGROSS: 16000.00\n[FOOTER: TALENT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX789S",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 16000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 3000.0,
        "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 SINGAPORE\nIDENTITY CARD\nNRIC: S9922110M\nNAME: ANYA TAYLOR-JOY\nDOB: 16-04-1996\nNATIONALITY: SINGAPORE CITIZEN\n[LOGO: LION HEAD]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "S9922110M",
    "ID_Number_confidence_score": 99,
    "Name": "ANYA TAYLOR-JOY",
    "Name_confidence_score": 99,
    "Date_of_Birth": "16-04-1996",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SINGAPORE CITIZEN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CHANGI GENERAL HOSPITAL\nBILL: CGH-791\nDATE: 12/JAN/2026\nPATIENT: TOM HARDY\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. ALFIE CLINIC\nMC SERIAL: MC-792\nNAME: ADRIEN BRODY\nNRIC: SXXXX792A\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. SOLOMONS (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:
"JEWISH INS\nCLAIM FORM\nINSURED: AIDAN GILLEN\nCLAIMANT: AIDAN GILLEN\nDATE: 2025-06-14\nDETAILS: KNEE SPRAIN DURING ACTION SCENE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "AIDAN GILLEN",
    "Insured_confidence_score": 96,
    "Claimant": "AIDAN GILLEN",
    "Claimant_confidence_score": 96,
    "Details": "KNEE SPRAIN DURING ACTION 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:
"STEVEN KNIGHT STUDIOS\nPAYSLIP\nNAME: CHARLIE MURPHY\nNRIC: SXXXX794C\nPAID DATE: 2025-11-30\nBASIC: 10000\nBONUS: 0\nALLOWANCE: 2000\nGROSS: 12000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX794C",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 12000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SINGAPORE\nIDENTITY CARD\nNRIC: S8822111X\nNAME: KATE PHILLIPS\nDOB: 21-05-1989\nNATIONALITY: SINGAPORE CITIZEN\n[LOGO: LION HEAD]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "S8822111X",
    "ID_Number_confidence_score": 99,
    "Name": "KATE PHILLIPS",
    "Name_confidence_score": 98,
    "Date_of_Birth": "21-05-1989",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "SINGAPORE CITIZEN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KHOO TECK PUAT HOSPITAL\nBILL: KTPH-796\nDATE: 12/JAN/2026\nPATIENT: FINN COLE\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: PAID BY NETS FLASH.\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 NETS FLASH.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MICHAEL CLINIC\nMC SERIAL: MC-797\nNAME: AIMEE-FFION EDWARDS\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. GRAY (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:
"BIRMINGHAM INS\nCLAIM FORM\nINSURED: ALEXANDER SIDDIG\nCLAIMANT: ALEXANDER SIDDIG\nDATE: 2025-08-22\nDETAILS: BACK PAIN FROM PROLONGED HORSEBACK FILMING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ALEXANDER SIDDIG",
    "Insured_confidence_score": 97,
    "Claimant": "ALEXANDER SIDDIG",
    "Claimant_confidence_score": 97,
    "Details": "BACK PAIN FROM PROLONGED HORSEBACK 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:
"PEAKY PRODUCTIONS ASIA\nPAYSLIP\nNAME: COSMO JARVIS\nNRIC: SXXXX799C\nPAID DATE: 2025-10-31\nBASIC: 9000\nBONUS: 1000\nALLOWANCE: 500\nGROSS: 10500.00\n[FOOTER: CAST DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX799C",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 10500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 1000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SINGAPORE\nIDENTITY CARD\nNRIC: S9922881P\nNAME: EMMETT J. SCANLAN\nDOB: 31/01/1979\nNATIONALITY: SINGAPORE CITIZEN\n[LOGO: LION HEAD]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "S9922881P",
    "ID_Number_confidence_score": 99,
    "Name": "EMMETT J. SCANLAN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "31/01/1979",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SINGAPORE CITIZEN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TORONTO GENERAL HOSPITAL\nINV: TGH-801\nDATE: 16 JAN 2026\nPATIENT: RYAN GOSLING\n---------------------------\nEMERGENCY FEE: $150.00\nLAB TESTS: $200.00\nGST 13%: $45.50\nTOTAL AMOUNT: $395.50\nREMARKS: PAID BY VISA.\n[STAMP: RECEIVED]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "395.50",
    "Amt_confidence_score": 99,
    "GST": "45.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. KEN'S CLINIC\nMC NO: CA-802\nNAME: SIMU LIU\nNRIC: SXXXX802S\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: MEDICAL ADVISORY]\nDR. SEBASTIAN (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:
"MAPLE LEAF INSURANCE\nCLAIM FORM #ML-803\nINSURED: RACHEL MCADAMS\nCLAIMANT: RACHEL MCADAMS\nDATE: 12/11/2025\nDETAILS: ALLERGIC REACTION TO MAKEUP ON SET.\nWORKING DAYS: 5\n[STAMP: PRIORITY]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RACHEL MCADAMS",
    "Insured_confidence_score": 97,
    "Claimant": "RACHEL MCADAMS",
    "Claimant_confidence_score": 97,
    "Details": "ALLERGIC REACTION TO MAKEUP 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:
"LIONSGATE CANADA\nPAYSLIP\nNAME: SETH ROGEN\nNRIC: SXXXX804S\nPAID DATE: 2026-01-25\nBASIC: 15000\nCOMMISSION: 5000\nALLOWANCE: 1200\nGROSS: 21200.00\n[FOOTER: COMEDY DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX804S",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 21200.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 95,
        "Allowance": 6200.0,
        "Allowance_confidence_score": 89
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CANADA CITIZENSHIP CARD\nID: CAN-805511\nNAME: ELLIOT PAGE\nDOB: 21/02/1987\nNATIONALITY: CANADIAN\n[LOGO: MAPLE LEAF]\nEXPIRY: 2031"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CAN-805511",
    "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:
"TOKYO MED UNIVERSITY\nINV: TMU-806\nDATE: 14 FEB 2026\nPATIENT: KEN WATANABE\nCONSULTATION: ¥15,000\nTAX 10%: ¥1,500\nTOTAL: ¥16,500\nREMARKS: PAID BY CASH.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "16500",
    "Amt_confidence_score": 99,
    "GST": "1500",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CASH.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SATO CLINIC\nMC SERIAL: MC-JPN\nNAME: HIROYUKI SANADA\nNRIC: SXXXX807H\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. TANAKA (MCR 6612)\n[STAMP: SHIBUYA BRANCH]"

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:
"SUNRISE INSURANCE\nCLAIM FORM #SI-808\nINSURED: RINKO KIKUCHI\nCLAIMANT: RINKO KIKUCHI\nDATE: 2025-11-14\nDETAILS: MINOR BURN DURING KITCHEN SCENE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RINKO KIKUCHI",
    "Insured_confidence_score": 98,
    "Claimant": "RINKO KIKUCHI",
    "Claimant_confidence_score": 98,
    "Details": "MINOR BURN DURING KITCHEN SCENE.",
    "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:
"TOHO STUDIOS\nPAYSLIP\nNAME: KOJI YAKUSHO\nNRIC: SXXXX809K\nPAID DATE: 2025-12-28\nBASIC: 500000\nBONUS: 0\nALLOWANCE: 20000\nGROSS: 520000.00\n(cid:12) EXECUTIVE GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX809K",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 520000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 20000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"JAPAN MY NUMBER CARD\nID: JP-810111\nNAME: KENICHI MATSUYAMA\nDOB: 05/03/1985\nNATIONALITY: JAPANESE\n[LOGO: CHRYSANTHEMUM SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "JP-810111",
    "ID_Number_confidence_score": 99,
    "Name": "KENICHI MATSUYAMA",
    "Name_confidence_score": 99,
    "Date_of_Birth": "05/03/1985",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "JAPANESE",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KYOTO HEALTH\nINV #KH-811\nDATE: 03-FEB-2026\nPATIENT: MASAHIRO MOTOKI\nCONSULTATION: ¥12,000\nTAX: ¥1,200\nTOTAL: ¥13,200\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": "13200",
    "Amt_confidence_score": 99,
    "GST": "1200",
    "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. AKIRA CLINIC\nMC NO: MC-812\nNAME: TAKESHI KITANO\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. KUROSAWA (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:
"NIPPON LIFE INS\nCLAIM FORM\nINSURED: SHIDO NAKAMURA\nCLAIMANT: SHIDO NAKAMURA\nDATE: 2025-05-15\nDETAILS: KNEE STRAIN FROM MARTIAL ARTS PERFORMANCE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SHIDO NAKAMURA",
    "Insured_confidence_score": 96,
    "Claimant": "SHIDO NAKAMURA",
    "Claimant_confidence_score": 96,
    "Details": "KNEE STRAIN FROM MARTIAL ARTS PERFORMANCE.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SONY MUSIC JAPAN\nPAYSLIP\nNAME: MIYAVI\nNRIC: SXXXX814M\nPAID DATE: 2025-11-30\nBASIC: 400000\nBONUS: 100000\nALLOWANCE: 50000\nGROSS: 550000.00\n[FOOTER: ARTIST DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX814M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 550000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 100000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 50000.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"JAPAN MY NUMBER CARD\nID: JP-815511\nNAME: TAKERU SATOH\nDOB: 21-03-1989\nNATIONALITY: JAPANESE\n[LOGO: CHRYSANTHEMUM SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "JP-815511",
    "ID_Number_confidence_score": 99,
    "Name": "TAKERU SATOH",
    "Name_confidence_score": 99,
    "Date_of_Birth": "21-03-1989",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "JAPANESE",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"OSAKA CLINIC\nBILL: OC-816\nDATE: 12/JAN/2026\nPATIENT: NANA KOMATSU\nCONSULTATION: ¥10,000\nTAX: ¥1,000\nTOTAL: ¥11,000\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": "11000",
    "Amt_confidence_score": 99,
    "GST": "1000",
    "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. NOBU CLINIC\nMC SERIAL: MC-817\nNAME: MASAKI SUDA\nNRIC: SXXXX817M\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. YAMADA (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:
"TOKIO MARINE\nCLAIM FORM\nINSURED: MINAMI HAMABE\nCLAIMANT: MINAMI HAMABE\nDATE: 2025-06-14\nDETAILS: VOICE LOSS FROM OVER-EXERTION.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MINAMI HAMABE",
    "Insured_confidence_score": 96,
    "Claimant": "MINAMI HAMABE",
    "Claimant_confidence_score": 96,
    "Details": "VOICE LOSS FROM OVER-EXERTION.",
    "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:
"NINTENDO ASIA\nPAYSLIP\nNAME: SHIGERU MIYAMOTO\nNRIC: SXXXX819S\nPAID DATE: 2025-11-30\nBASIC: 800000\nBONUS: 200000\nALLOWANCE: 100000\nGROSS: 1100000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX819S",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 1100000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 200000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 100000.0,
        "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-820111\nNAME: SCARLETT JOHANSSON\nDOB: 22-11-1984\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-820111",
    "ID_Number_confidence_score": 99,
    "Name": "SCARLETT JOHANSSON",
    "Name_confidence_score": 98,
    "Date_of_Birth": "22-11-1984",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "AMERICAN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SEOUL MEDICAL CENTER\nBILL: SMC-821\nDATE: 12/JAN/2026\nPATIENT: SONG KANG-HO\nCONSULTATION: ₩150,000\nTAX: ₩15,000\nTOTAL: ₩165,000\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": "165000",
    "Amt_confidence_score": 99,
    "GST": "15000",
    "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. KIM CLINIC\nMC SERIAL: MC-822\nNAME: BONG JOON-HO\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. PARK (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:
"PARASITE INSURANCE\nCLAIM FORM\nINSURED: CHOI WOO-SHIK\nCLAIMANT: CHOI WOO-SHIK\nDATE: 2025-08-22\nDETAILS: WRIST INJURY FROM FALL DURING STAIR SCENE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CHOI WOO-SHIK",
    "Insured_confidence_score": 97,
    "Claimant": "CHOI WOO-SHIK",
    "Claimant_confidence_score": 97,
    "Details": "WRIST INJURY FROM FALL DURING STAIR SCENE.",
    "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:
"HYBE ENT\nPAYSLIP\nNAME: PARK SO-DAM\nNRIC: SXXXX824P\nPAID DATE: 2025-10-31\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 2000\nGROSS: 27000.00\n[FOOTER: ACTRESS DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX824P",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 27000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF KOREA\nID CARD\nID: KR-825511\nNAME: LEE SUN-KYUN\nDOB: 02/03/1975\nNATIONALITY: KOREAN\n[LOGO: KOREAN EMBLEM]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "KR-825511",
    "ID_Number_confidence_score": 99,
    "Name": "LEE SUN-KYUN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "02/03/1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "KOREAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"COPENHAGEN MEDICAL\nINV: CPH-826\nDATE: 16 JAN 2026\nPATIENT: MADS MIKKELSEN\n---------------------------\nCONSULTATION: 800.00 DKK\nPROCEDURE: 1200.00 DKK\nVAT (25%): 500.00 DKK\nTOTAL: 2500.00 DKK\nREMARKS: PAID BY DAN_CARD.\n[STAMP: BETALT]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "2500.00",
    "Amt_confidence_score": 99,
    "GST": "500.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY DAN_CARD.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LE CHIFFRE CLINIC\nMC NO: DK-827\nNAME: EVA GREEN\nNRIC: SXXXX827E\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: CERTIFIED UNFIT]\nDR. VESPER (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:
"NORDIC INSURANCE\nCLAIM FORM #NI-828\nINSURED: NIKOLAJ COSTER-WALDAU\nCLAIMANT: NIKOLAJ COSTER-WALDAU\nDATE: 12/11/2025\nDETAILS: HAND LACERATION DURING PROP STUNT.\nWORKING DAYS: 5\n[STAMP: GODKENDT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "NIKOLAJ COSTER-WALDAU",
    "Insured_confidence_score": 97,
    "Claimant": "NIKOLAJ COSTER-WALDAU",
    "Claimant_confidence_score": 97,
    "Details": "HAND LACERATION DURING PROP STUNT.",
    "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:
"ZENTROPA ASIA\nPAYSLIP\nNAME: LARS VON TRIER\nNRIC: SXXXX829L\nPAID DATE: 2026-01-25\nBASIC: 30000\nBONUS: 5000\nALLOWANCE: 2000\nGROSS: 37000.00\n[FOOTER: CREATIVE DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX829L",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 37000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "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:
"KINGDOM OF DENMARK\nID CARD\nID: DK-830011\nNAME: MADS MIKKELSEN\nDOB: 22/11/1965\nNATIONALITY: DANISH\n[LOGO: ROYAL CREST]\nEXPIRY: 2036"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "DK-830011",
    "ID_Number_confidence_score": 99,
    "Name": "MADS MIKKELSEN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "22/11/1965",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "DANISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"OSLO UNIV SYKEHUS\nINV: OS-831\nDATE: 14 FEB 2026\nPATIENT: KRISTOFER HIVJU\nCONSULTATION: 1200 NOK\nTAX 25%: 300 NOK\nTOTAL: 1500 NOK\nREMARKS: PAID BY VISA CREDIT.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "1500",
    "Amt_confidence_score": 99,
    "GST": "300",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA CREDIT.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. TORMUND CLINIC\nMC SERIAL: MC-NOR\nNAME: INGRID BOLSØ BERDAL\nNRIC: SXXXX832I\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. OLAF (MCR 6612)\n[STAMP: LEGEVAKT]"

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:
"FJORD INSURANCE\nCLAIM FORM #FI-833\nINSURED: AKSEL HENNIE\nCLAIMANT: AKSEL HENNIE\nDATE: 2025-11-14\nDETAILS: ANKLE SPRAIN DURING MOUNTAIN SEQUENCE.\nWORKING DAYS: 5\n[STAMP: GODKJENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "AKSEL HENNIE",
    "Insured_confidence_score": 98,
    "Claimant": "AKSEL HENNIE",
    "Claimant_confidence_score": 98,
    "Details": "ANKLE SPRAIN DURING MOUNTAIN SEQUENCE.",
    "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:
"NORWAY MEDIA AS\nPAYSLIP\nNAME: JO NESBØ\nNRIC: SXXXX834J\nPAID DATE: 2025-12-28\nBASIC: 45000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 50000.00\n(cid:12) WRITER GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX834J",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 50000.0,
        "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:
"KINGDOM OF NORWAY\nID CARD\nID: NO-835511\nNAME: KRISTOFER HIVJU\nDOB: 07/12/1978\nNATIONALITY: NORWEGIAN\n[LOGO: LION SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "NO-835511",
    "ID_Number_confidence_score": 99,
    "Name": "KRISTOFER HIVJU",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07/12/1978",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "NORWEGIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"STOCKHOLM HEALTH\nINV #SH-836\nDATE: 03-FEB-2026\nPATIENT: NOOMI RAPACE\nCONSULTATION: 1500 SEK\nVAT: 375 SEK\nTOTAL: 1875 SEK\nREMARKS: PAID BY MASTERCARD.\n[STAMP: BETALD]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "1875",
    "Amt_confidence_score": 99,
    "GST": "375",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY MASTERCARD.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LISBETH CLINIC\nMC NO: MC-837\nNAME: ALEXANDER SKARSGÅRD\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. SALANDER (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:
"VIKING INSURANCE\nCLAIM FORM\nINSURED: STELLAN SKARSGÅRD\nCLAIMANT: STELLAN SKARSGÅRD\nDATE: 2025-05-15\nDETAILS: SHOULDER DISLOCATION DURING BATTLE SCENE.\nWORKING DAYS: 5\n[STAMP: BRÅDSKANDE]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "STELLAN SKARSG\u00c5RD",
    "Insured_confidence_score": 96,
    "Claimant": "STELLAN SKARSG\u00c5RD",
    "Claimant_confidence_score": 96,
    "Details": "SHOULDER DISLOCATION DURING BATTLE 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:
"SF STUDIOS ASIA\nPAYSLIP\nNAME: BILL SKARSGÅRD\nNRIC: SXXXX839B\nPAID DATE: 2025-11-30\nBASIC: 25000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 28000.00\n[FOOTER: CASTING DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX839B",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 28000.0,
        "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:
"KINGDOM OF SWEDEN\nID CARD\nID: SE-840511\nNAME: NOOMI RAPACE\nDOB: 28-12-1979\nNATIONALITY: SWEDISH\n[LOGO: THREE CROWNS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "SE-840511",
    "ID_Number_confidence_score": 99,
    "Name": "NOOMI RAPACE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "28-12-1979",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SWEDISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HELSINKI GENERAL\nBILL: HG-841\nDATE: 12/JAN/2026\nPATIENT: AKI KAURISMÄKI\nCONSULTATION: 200.00 EUR\nVAT: 48.00 EUR\nTOTAL: 248.00 EUR\nREMARKS: PAID BY VISA CONTACTLESS.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "248.00",
    "Amt_confidence_score": 99,
    "GST": "48.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA CONTACTLESS.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. FINN CLINIC\nMC SERIAL: MC-842\nNAME: ALMA PÖYSTI\nNRIC: SXXXX842A\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. KARE (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:
"SUDDEN INSURANCE\nCLAIM FORM\nINSURED: JUSSI VATANEN\nCLAIMANT: JUSSI VATANEN\nDATE: 2025-06-14\nDETAILS: WRIST SPRAIN FROM FALL ON SET.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JUSSI VATANEN",
    "Insured_confidence_score": 96,
    "Claimant": "JUSSI VATANEN",
    "Claimant_confidence_score": 96,
    "Details": "WRIST SPRAIN FROM FALL ON SET.",
    "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:
"FINNISH FILMS\nPAYSLIP\nNAME: MARTTI SUOSALO\nNRIC: SXXXX844M\nPAID DATE: 2025-11-30\nBASIC: 18000\nBONUS: 0\nALLOWANCE: 2000\nGROSS: 20000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX844M",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 20000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF FINLAND\nID CARD\nID: FI-845511\nNAME: ALMA PÖYSTI\nDOB: 16-03-1981\nNATIONALITY: FINNISH\n[LOGO: LION CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "FI-845511",
    "ID_Number_confidence_score": 99,
    "Name": "ALMA P\u00d6YSTI",
    "Name_confidence_score": 98,
    "Date_of_Birth": "16-03-1981",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "FINNISH",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REYKJAVIK MEDICAL\nBILL: RM-846\nDATE: 12/JAN/2026\nPATIENT: BJÖRK\nCONSULTATION: 15000 ISK\nVAT: 3600 ISK\nTOTAL: 18600 ISK\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": "18600",
    "Amt_confidence_score": 99,
    "GST": "3600",
    "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. NORTH CLINIC\nMC SERIAL: MC-847\nNAME: BALTASAR KORMÁKUR\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. SNOW (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:
"ISLAND INSURANCE\nCLAIM FORM\nINSURED: INGVAR EGGERT SIGURÐSSON\nCLAIMANT: INGVAR EGGERT SIGURÐSSON\nDATE: 2025-08-22\nDETAILS: BACK STRAIN FROM HORSE RIDING SCENE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "INGVAR EGGERT SIGUR\u00d0SSON",
    "Insured_confidence_score": 97,
    "Claimant": "INGVAR EGGERT SIGUR\u00d0SSON",
    "Claimant_confidence_score": 97,
    "Details": "BACK STRAIN FROM HORSE RIDING SCENE.",
    "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:
"ICELANDIC STUDIOS\nPAYSLIP\nNAME: HEIDA REED\nNRIC: SXXXX849H\nPAID DATE: 2025-10-31\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 18000.00\n[FOOTER: ACTOR DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX849H",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 18000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ICELAND\nID CARD\nID: IS-850111\nNAME: BJÖRK\nDOB: 21/11/1965\nNATIONALITY: ICELANDIC\n[LOGO: FOUR GUARDIANS]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IS-850111",
    "ID_Number_confidence_score": 99,
    "Name": "BJ\u00d6RK",
    "Name_confidence_score": 99,
    "Date_of_Birth": "21/11/1965",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ICELANDIC",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"APOLLO HOSPITALS CHENNAI\nINV: AHC-851\nDATE: 16 JAN 2026\nPATIENT: RAJINIKANTH\n---------------------------\nCONSULTATION: ₹2500.00\nDIAGNOSTICS: ₹1500.00\nGST (18%): ₹720.00\nTOTAL AMOUNT: ₹4720.00\nREMARKS: PAID VIA UPI.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "4720.00",
    "Amt_confidence_score": 99,
    "GST": "720.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID VIA UPI.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. KUMAR'S CLINIC\nMC NO: IN-852\nNAME: KAMAL HAASAN\nNRIC: SXXXX852K\nUNFIT FROM: 2026-01-18 TO: 2026-01-22\nTYPE: Outpatient\n[STAMP: REGISTERED PRACTITIONER]\nDR. REDDY (MCR 4412)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "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:
"LIC INDIA\nCLAIM FORM #LI-853\nINSURED: DEEPIKA PADUKONE\nCLAIMANT: DEEPIKA PADUKONE\nDATE: 12/11/2025\nDETAILS: EYE STRAIN FROM PROLONGED STUDIO LIGHTS.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "DEEPIKA PADUKONE",
    "Insured_confidence_score": 97,
    "Claimant": "DEEPIKA PADUKONE",
    "Claimant_confidence_score": 97,
    "Details": "EYE STRAIN FROM PROLONGED STUDIO LIGHTS.",
    "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:
"RED CHILLIES ENT\nPAYSLIP\nNAME: SHAH RUKH KHAN\nNRIC: SXXXX854S\nPAID DATE: 2026-01-25\nBASIC: 500000\nBONUS: 100000\nALLOWANCE: 50000\nGROSS: 650000.00\n[FOOTER: GLOBAL OPS]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX854S",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 650000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 100000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 50000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GOVERNMENT OF INDIA\nAADHAAR CARD\nID: 4455 8899 0011\nNAME: PRIYANKA CHOPRA\nDOB: 18/07/1982\nSEX: FEMALE\n[LOGO: AADHAAR LOGO]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "4455 8899 0011",
    "ID_Number_confidence_score": 99,
    "Name": "PRIYANKA CHOPRA",
    "Name_confidence_score": 99,
    "Date_of_Birth": "18/07/1982",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "INDIAN",
    "Nationality_confidence_score": 90
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BANGKOK HOSPITAL\nINV: BKK-856\nDATE: 14 FEB 2026\nPATIENT: TONY JAA\nCONSULTATION: 3500 THB\nVAT 7%: 245 THB\nTOTAL: 3745 THB\nREMARKS: PAID BY VISA.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "3745",
    "Amt_confidence_score": 99,
    "GST": "245",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. PHAT CLINIC\nMC SERIAL: MC-TH\nNAME: LALISA MANOBAL\nNRIC: SXXXX857L\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. SOMCHAI (MCR 6612)\n[STAMP: MEDICAL DEPT]"

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:
"MUANG THAI INS\nCLAIM FORM #MT-858\nINSURED: MARIO MAURER\nCLAIMANT: MARIO MAURER\nDATE: 2025-11-14\nDETAILS: ELBOW BRUISE FROM STUNT REHEARSAL.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MARIO MAURER",
    "Insured_confidence_score": 98,
    "Claimant": "MARIO MAURER",
    "Claimant_confidence_score": 98,
    "Details": "ELBOW BRUISE FROM STUNT 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:
"GMM GRAMMY PCL\nPAYSLIP\nNAME: DAVIKA HOORNE\nNRIC: SXXXX859D\nPAID DATE: 2025-12-28\nBASIC: 80000\nBONUS: 0\nALLOWANCE: 10000\nGROSS: 90000.00\n(cid:12) ARTIST GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX859D",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 90000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 10000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KINGDOM OF THAILAND\nID CARD\nID: TH-860111\nNAME: TONY JAA\nDOB: 05/02/1976\nNATIONALITY: THAI\n[LOGO: GARUDA EMBLEM]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "TH-860111",
    "ID_Number_confidence_score": 99,
    "Name": "TONY JAA",
    "Name_confidence_score": 99,
    "Date_of_Birth": "05/02/1976",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "THAI",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MANILA MEDICAL\nINV #MM-861\nDATE: 03-FEB-2026\nPATIENT: ANNE CURTIS\nCONSULTATION: 2500 PHP\nVAT: 300 PHP\nTOTAL: 2800 PHP\nREMARKS: PAID BY CASH.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "2800",
    "Amt_confidence_score": 99,
    "GST": "300",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY CASH.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SANTOS CLINIC\nMC NO: MC-862\nNAME: PIOLO PASCUAL\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. REYES (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:
"PHILAM LIFE\nCLAIM FORM\nINSURED: LIZA SOBERANO\nCLAIMANT: LIZA SOBERANO\nDATE: 2025-05-15\nDETAILS: FOOD POISONING DURING SHOOT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "LIZA SOBERANO",
    "Insured_confidence_score": 96,
    "Claimant": "LIZA SOBERANO",
    "Claimant_confidence_score": 96,
    "Details": "FOOD POISONING DURING SHOOT.",
    "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:
"ABS-CBN CORP\nPAYSLIP\nNAME: DANIEL PADILLA\nNRIC: SXXXX864D\nPAID DATE: 2025-11-30\nBASIC: 45000\nBONUS: 5000\nALLOWANCE: 2000\nGROSS: 52000.00\n[FOOTER: TALENT MGMT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX864D",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 52000.0,
        "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 PHILIPPINES\nID CARD\nID: PH-865511\nNAME: ANNE CURTIS\nDOB: 17-02-1985\nNATIONALITY: FILIPINO\n[LOGO: SUN EMBLEM]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "PH-865511",
    "ID_Number_confidence_score": 99,
    "Name": "ANNE CURTIS",
    "Name_confidence_score": 99,
    "Date_of_Birth": "17-02-1985",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "FILIPINO",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RAFFLES HOSPITAL SG\nBILL: RH-866\nDATE: 12/JAN/2026\nPATIENT: MICHELLE YEOH\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY VISA INFINITE.\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 INFINITE.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. TAN CLINIC\nMC SERIAL: MC-867\nNAME: HENRY GOLDING\nNRIC: SXXXX867H\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. LIM (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:
"AVIVA SINGAPORE\nCLAIM FORM\nINSURED: AWKWAFINA\nCLAIMANT: AWKWAFINA\nDATE: 2025-06-14\nDETAILS: THROAT IRRITATION FROM FILMING IN DUSTY LOC.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "AWKWAFINA",
    "Insured_confidence_score": 96,
    "Claimant": "AWKWAFINA",
    "Claimant_confidence_score": 96,
    "Details": "THROAT IRRITATION FROM FILMING IN DUSTY LOC.",
    "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:
"WARNER BROS ASIA\nPAYSLIP\nNAME: KEN JEONG\nNRIC: SXXXX869K\nPAID DATE: 2025-11-30\nBASIC: 50000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 55000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX869K",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 55000.0,
        "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 KOREA\nID CARD\nID: KR-870111\nNAME: LEE MIN-HO\nDOB: 22-06-1987\nNATIONALITY: KOREAN\n[LOGO: TAEGEUK SYMBOL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "KR-870111",
    "ID_Number_confidence_score": 99,
    "Name": "LEE MIN-HO",
    "Name_confidence_score": 98,
    "Date_of_Birth": "22-06-1987",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "KOREAN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GANGNAM MEDICAL\nBILL: GM-871\nDATE: 12/JAN/2026\nPATIENT: IU (LEE JI-EUN)\nCONSULTATION: 150000 KRW\nVAT: 15000 KRW\nTOTAL: 165000 KRW\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": "165000",
    "Amt_confidence_score": 99,
    "GST": "15000",
    "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. JANG CLINIC\nMC SERIAL: MC-872\nNAME: GONG YOO\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. CHOI (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:
"SAMSUNG FIRE INS\nCLAIM FORM\nINSURED: BAE SUZY\nCLAIMANT: BAE SUZY\nDATE: 2025-08-22\nDETAILS: FATIGUE FROM CONTINUOUS DANCE REHEARSALS.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "BAE SUZY",
    "Insured_confidence_score": 97,
    "Claimant": "BAE SUZY",
    "Claimant_confidence_score": 97,
    "Details": "FATIGUE FROM CONTINUOUS 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:
"CJ ENM ASIA\nPAYSLIP\nNAME: JUN JI-HYUN\nNRIC: SXXXX874J\nPAID DATE: 2025-10-31\nBASIC: 60000\nBONUS: 10000\nALLOWANCE: 5000\nGROSS: 75000.00\n[FOOTER: ACTRESS MGMT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX874J",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 75000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF KOREA\nID CARD\nID: KR-875111\nNAME: HYUN BIN\nDOB: 25/09/1982\nNATIONALITY: KOREAN\n[LOGO: KOREAN EMBLEM]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "KR-875111",
    "ID_Number_confidence_score": 99,
    "Name": "HYUN BIN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "25/09/1982",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "KOREAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CLEVELAND CLINIC ABU DHABI\nINV: CCAD-876\nDATE: 16 JAN 2026\nPATIENT: IDRIS ELBA\n---------------------------\nROOM CHARGE (PRIVATE): 2500 AED\nSPECIALIST FEE: 1500 AED\nVAT 5%: 200 AED\nTOTAL AMOUNT: 4200 AED\nREMARKS: PAID 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": "4200",
    "Amt_confidence_score": 99,
    "GST": "200",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CORPORATE INSURANCE.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ZAYED'S CLINIC\nMC NO: UAE-877\nNAME: GAL GADOT\nNRIC: SXXXX877G\nUNFIT FROM: 2026-01-18 TO: 2026-01-19\nTYPE: MC\n[STAMP: MEDICAL CENTER DXB]\nDR. MANSOOR (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": "2026-01-19",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ADNIC INSURANCE\nCLAIM FORM #AD-878\nINSURED: PEDRO PASCAL\nCLAIMANT: PEDRO PASCAL\nDATE: 12/11/2025\nDETAILS: HEAT STROKE DURING DESERT FILMING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "PEDRO PASCAL",
    "Insured_confidence_score": 97,
    "Claimant": "PEDRO PASCAL",
    "Claimant_confidence_score": 97,
    "Details": "HEAT STROKE DURING DESERT 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:
"OSN MEDIA GROUP\nPAYSLIP\nNAME: OSCAR ISAAC\nNRIC: SXXXX879O\nPAID DATE: 2026-01-25\nBASIC: 25000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 30000.00\n[FOOTER: TALENT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX879O",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 30000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 95,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"UNITED ARAB EMIRATES\nEMIRATES ID\nID: 784-1979-1122334-1\nNAME: OSCAR ISAAC\nDOB: 09/03/1979\nNATIONALITY: GUATEMALAN\n[LOGO: FALCON EMBLEM]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "784-1979-1122334-1",
    "ID_Number_confidence_score": 99,
    "Name": "OSCAR ISAAC",
    "Name_confidence_score": 99,
    "Date_of_Birth": "09/03/1979",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "GUATEMALAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HOSPITAL ALBERT EINSTEIN\nINV: HAE-881\nDATE: 14 FEB 2026\nPATIENT: RODRIGO SANTORO\nCONSULTATION: 800 BRL\nTAX 15%: 120 BRL\nTOTAL: 920 BRL\nREMARKS: PAID BY VISA CREDIT.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "920",
    "Amt_confidence_score": 99,
    "GST": "120",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA CREDIT.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SILVA CLINIC\nMC SERIAL: MC-BR\nNAME: ALICE BRAGA\nNRIC: SXXXX882A\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. FERREIRA (MCR 6612)\n[STAMP: SAUDE PUBLICA]"

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:
"PORTO SEGURO\nCLAIM FORM #PS-883\nINSURED: WAGNER MOURA\nCLAIMANT: WAGNER MOURA\nDATE: 2025-11-14\nDETAILS: RESPIRATORY FATIGUE FROM SMOKE EFFECTS.\nWORKING DAYS: 5\n[STAMP: APROVADO]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "WAGNER MOURA",
    "Insured_confidence_score": 98,
    "Claimant": "WAGNER MOURA",
    "Claimant_confidence_score": 98,
    "Details": "RESPIRATORY FATIGUE FROM SMOKE EFFECTS.",
    "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:
"GLOBO FILMES ASIA\nPAYSLIP\nNAME: MORENA BACCARIN\nNRIC: SXXXX884M\nPAID DATE: 2025-12-28\nBASIC: 40000\nBONUS: 0\nALLOWANCE: 2000\nGROSS: 42000.00\n(cid:12) PRODUCTION STAFF"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX884M",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 42000.0,
        "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:
"REPUBLICA FEDERATIVA DO BRASIL\nRG CARD\nID: 12.345.678-9\nNAME: RODRIGO SANTORO\nDOB: 22/08/1975\nNATIONALITY: BRASILEIRO\n[LOGO: BRAZILIAN CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "12.345.678-9",
    "ID_Number_confidence_score": 99,
    "Name": "RODRIGO SANTORO",
    "Name_confidence_score": 99,
    "Date_of_Birth": "22/08/1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRASILEIRO",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MEXICO CITY GENERAL\nINV #MCG-886\nDATE: 03-FEB-2026\nPATIENT: SALMA HAYEK\nCONSULTATION: 5000 MXN\nIVA: 800 MXN\nTOTAL: 5800 MXN\nREMARKS: PAID BY AMEX.\n[STAMP: PAGADO]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "5800",
    "Amt_confidence_score": 99,
    "GST": "800",
    "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. GARCIA CLINIC\nMC NO: MC-887\nNAME: DIEGO LUNA\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. MORENO (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:
"AXA MEXICO\nCLAIM FORM\nINSURED: GAEL GARCIA BERNAL\nCLAIMANT: GAEL GARCIA BERNAL\nDATE: 2025-05-15\nDETAILS: RIB FRACTURE FROM STUNT.\nWORKING DAYS: 5\n[STAMP: URGENTE]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "GAEL GARCIA BERNAL",
    "Insured_confidence_score": 96,
    "Claimant": "GAEL GARCIA BERNAL",
    "Claimant_confidence_score": 96,
    "Details": "RIB FRACTURE FROM 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:
"TELEVISA CORP\nPAYSLIP\nNAME: ANA DE LA REGUERA\nNRIC: SXXXX889A\nPAID DATE: 2025-11-30\nBASIC: 35000\nBONUS: 5000\nALLOWANCE: 1500\nGROSS: 41500.00\n[FOOTER: ACTOR SERVICES]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX889A",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 41500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ESTADOS UNIDOS MEXICANOS\nINE CARD\nID: MEX-890511\nNAME: SALMA HAYEK\nDOB: 02-09-1966\nNATIONALITY: MEXICANA\n[LOGO: EAGLE ON CACTUS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "MEX-890511",
    "ID_Number_confidence_score": 99,
    "Name": "SALMA HAYEK",
    "Name_confidence_score": 99,
    "Date_of_Birth": "02-09-1966",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "MEXICANA",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BUENOS AIRES CLINICA\nBILL: BAC-891\nDATE: 12/JAN/2026\nPATIENT: RICARDO DARIN\nCONSULTATION: 15000 ARS\nVAT: 3150 ARS\nTOTAL: 18150 ARS\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": "18150",
    "Amt_confidence_score": 99,
    "GST": "3150",
    "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. SCALONI CLINIC\nMC SERIAL: MC-892\nNAME: ANYA TAYLOR-JOY\nNRIC: SXXXX892A\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. MARTINEZ (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:
"MAPFRE ARGENTINA\nCLAIM FORM\nINSURED: JOAQUIN FURRIEL\nCLAIMANT: JOAQUIN FURRIEL\nDATE: 2025-06-14\nDETAILS: NECK STIFFNESS FROM PROLONGED SHOOT.\nWORKING DAYS: 5\n[STAMP: APROBADO]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JOAQUIN FURRIEL",
    "Insured_confidence_score": 96,
    "Claimant": "JOAQUIN FURRIEL",
    "Claimant_confidence_score": 96,
    "Details": "NECK STIFFNESS FROM PROLONGED SHOOT.",
    "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:
"PATAGONIA FILMS\nPAYSLIP\nNAME: CHINO DARIN\nNRIC: SXXXX894C\nPAID DATE: 2025-11-30\nBASIC: 60000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 65000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX894C",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 65000.0,
        "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:
"REPUBLICA ARGENTINA\nDNI CARD\nID: 35.111.222\nNAME: RICARDO DARIN\nDOB: 16-01-1957\nNATIONALITY: ARGENTINO\n[LOGO: SOL DE MAYO]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "35.111.222",
    "ID_Number_confidence_score": 99,
    "Name": "RICARDO DARIN",
    "Name_confidence_score": 98,
    "Date_of_Birth": "16-01-1957",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "ARGENTINO",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SANTIAGO HOSPITAL\nBILL: SH-896\nDATE: 12/JAN/2026\nPATIENT: PEDRO PASCAL\nCONSULTATION: 45000 CLP\nVAT: 8550 CLP\nTOTAL: 53550 CLP\nREMARKS: PAID BY VISA FLASH.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "53550",
    "Amt_confidence_score": 99,
    "GST": "8550",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA FLASH.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. VIDAL CLINIC\nMC SERIAL: MC-897\nNAME: DANIELA VEGA\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. RIOS (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:
"CHILE INSURANCE\nCLAIM FORM\nINSURED: BENJAMIN VICUÑA\nCLAIMANT: BENJAMIN VICUÑA\nDATE: 2025-08-22\nDETAILS: LOWER BACK PAIN FROM STUNT.\nWORKING DAYS: 5\n[STAMP: URGENTE]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "BENJAMIN VICU\u00d1A",
    "Insured_confidence_score": 97,
    "Claimant": "BENJAMIN VICU\u00d1A",
    "Claimant_confidence_score": 97,
    "Details": "LOWER BACK PAIN FROM 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:
"FABULA ASIA\nPAYSLIP\nNAME: ALFREDO CASTRO\nNRIC: SXXXX899A\nPAID DATE: 2025-10-31\nBASIC: 40000\nBONUS: 5000\nALLOWANCE: 2000\nGROSS: 47000.00\n[FOOTER: CAST DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX899A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 47000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLICA DE CHILE\nID CARD\nID: 15.666.777-K\nNAME: PEDRO PASCAL\nDOB: 02/04/1975\nNATIONALITY: CHILENO\n[LOGO: CHILEAN SHIELD]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "15.666.777-K",
    "ID_Number_confidence_score": 99,
    "Name": "PEDRO PASCAL",
    "Name_confidence_score": 99,
    "Date_of_Birth": "02/04/1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "CHILENO",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SYDNEY ADVENTIST HOSPITAL\nINV: SAH-901\nDATE: 16 JAN 2026\nPATIENT: HUGH JACKMAN\n---------------------------\nWARD FEES: $1200.00\nPHARMACY: $450.00\nGST 10%: $165.00\nTOTAL AMOUNT: $1815.00\nREMARKS: PAID BY MEDIBANK.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "1815.00",
    "Amt_confidence_score": 99,
    "GST": "165.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY MEDIBANK.",
    "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-902\nNAME: MARGOT ROBBIE\nNRIC: SXXXX902M\nUNFIT FROM: 2026-01-18 TO: 2026-01-21\nTYPE: MC\n[STAMP: NSW HEALTH]\nDR. XAVIER (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": "2026-01-21",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BUPA AUSTRALIA\nCLAIM FORM #BP-903\nINSURED: CHRIS HEMSWORTH\nCLAIMANT: CHRIS HEMSWORTH\nDATE: 12/11/2025\nDETAILS: MUSCLE TEAR DURING HAMMER STUNT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CHRIS HEMSWORTH",
    "Insured_confidence_score": 97,
    "Claimant": "CHRIS HEMSWORTH",
    "Claimant_confidence_score": 97,
    "Details": "MUSCLE TEAR DURING HAMMER STUNT.",
    "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:
"VILLAGE ROADSHOW\nPAYSLIP\nNAME: CATE BLANCHETT\nNRIC: SXXXX904C\nPAID DATE: 2026-01-25\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 3000\nGROSS: 28000.00\n[FOOTER: SYDNEY OFFICE]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX904C",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 28000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 3000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AUSTRALIA DRIVER LICENCE\nLIC No: 90551122\nNAME: HUGH JACKMAN\nDOB: 12/10/1968\nADDRESS: VICTORIA ST, SYDNEY\n[LOGO: STATE CREST]\nEXPIRY: 2031"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "90551122",
    "ID_Number_confidence_score": 99,
    "Name": "HUGH JACKMAN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "12/10/1968",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AUSTRALIAN",
    "Nationality_confidence_score": 85
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AUCKLAND CITY HOSPITAL\nINV: ACH-906\nDATE: 14 FEB 2026\nPATIENT: TAIKA WAITITI\nCONSULTATION: 250 NZD\nTAX 15%: 37.50 NZD\nTOTAL: 287.50 NZD\nREMARKS: PAID BY EFTPOS.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "287.50",
    "Amt_confidence_score": 99,
    "GST": "37.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY EFTPOS.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. KIWI CLINIC\nMC SERIAL: MC-NZ\nNAME: KARL URBAN\nNRIC: SXXXX907K\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. COOPER (MCR 6612)\n[STAMP: WELLINGTON]"

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:
"SOUTHERN CROSS\nCLAIM FORM #SC-908\nINSURED: MELANIE LYNSKEY\nCLAIMANT: MELANIE LYNSKEY\nDATE: 2025-11-14\nDETAILS: VIRAL INFECTION CONTRACTED ON SET.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MELANIE LYNSKEY",
    "Insured_confidence_score": 98,
    "Claimant": "MELANIE LYNSKEY",
    "Claimant_confidence_score": 98,
    "Details": "VIRAL INFECTION CONTRACTED ON SET.",
    "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 DIGITAL ASIA\nPAYSLIP\nNAME: JEMAIN CLEMENT\nNRIC: SXXXX909J\nPAID DATE: 2025-12-28\nBASIC: 15000\nBONUS: 0\nALLOWANCE: 2000\nGROSS: 17000.00\n(cid:12) VFX GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX909J",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 17000.0,
        "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:
"NEW ZEALAND ID CARD\nID: NZ-910111\nNAME: TAIKA WAITITI\nDOB: 16/08/1975\nNATIONALITY: NEW ZEALANDER\n[LOGO: SILVER FERN SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "NZ-910111",
    "ID_Number_confidence_score": 99,
    "Name": "TAIKA WAITITI",
    "Name_confidence_score": 99,
    "Date_of_Birth": "16/08/1975",
    "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:
"GROOTE SCHUUR HOSPITAL\nINV #GSH-911\nDATE: 03-FEB-2026\nPATIENT: CHARLIZE THERON\nCONSULTATION: 1500 ZAR\nVAT 15%: 225 ZAR\nTOTAL: 1725 ZAR\nREMARKS: PAID BY CREDIT CARD.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "1725",
    "Amt_confidence_score": 99,
    "GST": "225",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY CREDIT CARD.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MANDELA CLINIC\nMC NO: MC-912\nNAME: SHALTO COPLEY\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. BOTHA (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:
"DISCOVERY HEALTH\nCLAIM FORM\nINSURED: ARNOLD VOSLOO\nCLAIMANT: ARNOLD VOSLOO\nDATE: 2025-05-15\nDETAILS: DEHYDRATION DURING SAFARI FILMING.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ARNOLD VOSLOO",
    "Insured_confidence_score": 96,
    "Claimant": "ARNOLD VOSLOO",
    "Claimant_confidence_score": 96,
    "Details": "DEHYDRATION DURING SAFARI FILMING.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"M-NET PRODUCTIONS\nPAYSLIP\nNAME: PEARL THUSI\nNRIC: SXXXX914P\nPAID DATE: 2025-11-30\nBASIC: 50000\nBONUS: 10000\nALLOWANCE: 5000\nGROSS: 65000.00\n[FOOTER: JO'BURG HUB]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX914P",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 65000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SOUTH AFRICA IDENTITY DOCUMENT\nID: 750807 5511 088\nNAME: CHARLIZE THERON\nDOB: 07-08-1975\nNATIONALITY: SOUTH AFRICAN\n[LOGO: COAT OF ARMS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "750807 5511 088",
    "ID_Number_confidence_score": 99,
    "Name": "CHARLIZE THERON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07-08-1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SOUTH AFRICAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LAGOS UNIVERSITY TEACHING\nBILL: LUTH-916\nDATE: 12/JAN/2026\nPATIENT: BURNA BOY\nCONSULTATION: 20000 NGN\nVAT: 1500 NGN\nTOTAL: 21500 NGN\nREMARKS: PAID BY BANK TRANSFER.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "21500",
    "Amt_confidence_score": 99,
    "GST": "1500",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY BANK TRANSFER.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. OKORO CLINIC\nMC SERIAL: MC-917\nNAME: WIZKID\nNRIC: SXXXX917W\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. ADEBAYO (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:
"NIGERIA INSURANCE\nCLAIM FORM\nINSURED: GENEVIEVE NNAJI\nCLAIMANT: GENEVIEVE NNAJI\nDATE: 2025-06-14\nDETAILS: ALLERGIC REACTION TO ON-SET CATERING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "GENEVIEVE NNAJI",
    "Insured_confidence_score": 96,
    "Claimant": "GENEVIEVE NNAJI",
    "Claimant_confidence_score": 96,
    "Details": "ALLERGIC REACTION TO ON-SET CATERING.",
    "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:
"NOLYWID STUDIOS\nPAYSLIP\nNAME: DAVIDO\nNRIC: SXXXX919D\nPAID DATE: 2025-11-30\nBASIC: 100000\nBONUS: 0\nALLOWANCE: 20000\nGROSS: 120000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX919D",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 120000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 20000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF NIGERIA\nID CARD\nID: NG-920111\nNAME: BURNA BOY\nDOB: 02-07-1991\nNATIONALITY: NIGERIAN\n[LOGO: EAGLE EMBLEM]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "NG-920111",
    "ID_Number_confidence_score": 99,
    "Name": "BURNA BOY",
    "Name_confidence_score": 98,
    "Date_of_Birth": "02-07-1991",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "NIGERIAN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NAIROBI HOSPITAL\nBILL: NH-921\nDATE: 12/JAN/2026\nPATIENT: LUPITA NYONG'O\nCONSULTATION: 5000 KES\nVAT: 800 KES\nTOTAL: 5800 KES\nREMARKS: PAID BY M-PESA.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "5800",
    "Amt_confidence_score": 99,
    "GST": "800",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY M-PESA.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MWANGI CLINIC\nMC SERIAL: MC-922\nNAME: EDI GATHEGI\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. KAMAU (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:
"KENYA INSURANCE\nCLAIM FORM\nINSURED: LUPITA NYONG'O\nCLAIMANT: LUPITA NYONG'O\nDATE: 2025-08-22\nDETAILS: ANKLE TWIST DURING ACTION SEQUENCE.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "LUPITA NYONG'O",
    "Insured_confidence_score": 97,
    "Claimant": "LUPITA NYONG'O",
    "Claimant_confidence_score": 97,
    "Details": "ANKLE TWIST DURING ACTION SEQUENCE.",
    "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:
"SAFARICOM ASIA\nPAYSLIP\nNAME: ELIUD KIPCHOGE\nNRIC: SXXXX924E\nPAID DATE: 2025-10-31\nBASIC: 40000\nBONUS: 20000\nALLOWANCE: 5000\nGROSS: 65000.00\n[FOOTER: SPORTS DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX924E",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 65000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 20000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF KENYA\nID CARD\nID: KE-925111\nNAME: LUPITA NYONG'O\nDOB: 01/03/1983\nNATIONALITY: KENYAN\n[LOGO: HARAMBEE CREST]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "KE-925111",
    "ID_Number_confidence_score": 99,
    "Name": "LUPITA NYONG'O",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/03/1983",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "KENYAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WARSAW MEDICAL CENTER\nINV: WMC-926\nDATE: 16 JAN 2026\nPATIENT: ROBERT LEWANDOWSKI\n---------------------------\nCONSULTATION: 300 PLN\nDIAGNOSTICS: 500 PLN\nVAT 23%: 184 PLN\nTOTAL AMOUNT: 984 PLN\nREMARKS: PAID BY BLIK.\n[STAMP: ZAPŁACONO]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "984",
    "Amt_confidence_score": 99,
    "GST": "184",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY BLIK.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. KOWALSKI CLINIC\nMC NO: PL-927\nNAME: JOANNA KULIG\nNRIC: SXXXX927J\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: PRZYCHODNIA]\nDR. NOWAK (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:
"PZU INSURANCE\nCLAIM FORM #PZU-928\nINSURED: MARCIN DOROCIŃSKI\nCLAIMANT: MARCIN DOROCIŃSKI\nDATE: 12/11/2025\nDETAILS: HAND FRACTURE DURING ACTION SCENE.\nWORKING DAYS: 5\n[STAMP: PRIORYTET]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MARCIN DOROCI\u0143SKI",
    "Insured_confidence_score": 97,
    "Claimant": "MARCIN DOROCI\u0143SKI",
    "Claimant_confidence_score": 97,
    "Details": "HAND FRACTURE DURING ACTION SCENE.",
    "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:
"POLISH FILM INSTITUTE\nPAYSLIP\nNAME: PAWEŁ PAWLIKOWSKI\nNRIC: SXXXX929P\nPAID DATE: 2026-01-25\nBASIC: 12000\nBONUS: 3000\nALLOWANCE: 1000\nGROSS: 16000.00\n[FOOTER: KRAKÓW OFFICE]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX929P",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 16000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 3000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}