Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ICELAND\nIDENTITY CARD\nID: 150575-4429\nNAME: BJORK GUDMUNDSDOTTIR\nDOB: 15/05/1975\nSEX: F\nNATIONALITY: ICELANDIC\n[LOGO: SHIELD SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "150575-4429",
    "ID_Number_confidence_score": 99,
    "Name": "BJORK GUDMUNDSDOTTIR",
    "Name_confidence_score": 98,
    "Date_of_Birth": "15/05/1975",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "ICELANDIC",
    "Nationality_confidence_score": 96
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"EAGLE EYE CLINIC\nINVOICE: 99201\nVISIT: 14-JAN-2026\nPATIENT: CILLIAN MURPHY\nAMT: 95.00\nGST: 8.55\nREMARKS: CONSULTATION FOR VISION BLUR.\n[STAMP: PAID BY VISA]\nCASHIER: SARAH"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14-JAN-2026",
    "Date_of_Visit_confidence_score": 96,
    "Amt": "95.00",
    "Amt_confidence_score": 99,
    "GST": "8.55",
    "GST_confidence_score": 93,
    "Remarks": "CONSULTATION FOR VISION BLUR.",
    "Remarks_confidence_score": 85
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LECTER PSYCHIATRY\nCERTIFICATE OF UNFITNESS\nNAME: WILL GRAHAM\nFROM: 2025-12-20\nTO: 2025-12-25\nTYPE: HL\n[ILLEGIBLE SIGNATURE]\nREF: MC-Hannibal"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2025-12-20",
    "From_Date_confidence_score": 99,
    "To_Date": "2025-12-25",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ALLIANZ GLOBAL ASSIST\nACCIDENT FORM #A-102\nINSURED: MADS MIKKELSEN\nCLAIMANT: MADS MIKKELSEN\nDATE: 2026-01-10\nDETAILS: FINGER CUT DURING KITCHEN PREP AT WORK.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MADS MIKKELSEN",
    "Insured_confidence_score": 98,
    "Claimant": "MADS MIKKELSEN",
    "Claimant_confidence_score": 98,
    "Details": "FINGER CUT DURING KITCHEN PREP AT WORK.",
    "Details_confidence_score": 88,
    "Date_of_Accident": "2026-01-10",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 93
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GOTHAM LOGISTICS\nPAY ADVICE\nNAME: HARVEY DENT\nNRIC: SXXXX991D\nPAID DATE: 2025-12-28\nBASIC: 8000\nBONUS: 4000\nALLOWANCE: 300\nGROSS PAYABLE: 12300.00\n(cid:12) CONFIDENTIAL COPY"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX991D",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 12300.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 4000.0,
        "Bonus_confidence_score": 94,
        "Allowance": 300.0,
        "Allowance_confidence_score": 86
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF FINLAND\nID: FIN-992-001\nNAME: MIKA HAKKINEN\nDOB: 28 SEP 1968\nNATIONALITY: FINNISH\n[LOGO: LION SEAL]\nEXPIRY: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "FIN-992-001",
    "ID_Number_confidence_score": 99,
    "Name": "MIKA HAKKINEN",
    "Name_confidence_score": 98,
    "Date_of_Birth": "28 SEP 1968",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "FINNISH",
    "Nationality_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ORTHOPEDIC SPECIALISTS\nINVOICE #OS-992\nDATE: 14/01/2026\nPATIENT: TIGER WOODS\nTHERAPY: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: KNEE REHAB SESSION 4.\n[HANDWRITTEN: CK PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14/01/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "327.00",
    "Amt_confidence_score": 99,
    "GST": "27.00",
    "GST_confidence_score": 95,
    "Remarks": "KNEE REHAB SESSION 4.",
    "Remarks_confidence_score": 89
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MINISTRY OF HEALTH MC\nPATIENT: SERENA WILLIAMS\nUNFIT FROM: 01/01/2026\nTO: 20/01/2026\nTYPE: HL\nISSUED: DR. OAK\n[QR CODE]\nNOTE: SURGERY RECOVERY"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "01/01/2026",
    "From_Date_confidence_score": 98,
    "To_Date": "20/01/2026",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ZURICH PROTECTION\nCLAIM FORM\nINSURED: ROGER FEDERER\nCLAIMANT: ROGER FEDERER\nDATE: 2025-08-22\nDETAILS: ELBOW TENDONITIS FROM REPETITIVE MOTION.\nWORK DAYS: 5.5\n[STAMP: PROCESSING]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ROGER FEDERER",
    "Insured_confidence_score": 97,
    "Claimant": "ROGER FEDERER",
    "Claimant_confidence_score": 97,
    "Details": "ELBOW TENDONITIS FROM REPETITIVE MOTION.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5.5,
    "Working_days_per_week_confidence_score": 91
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GLOBAL BANKING LTD\nPAYSLIP JAN 2026\nNAME: RAFAEL NADAL\nNRIC: SXXXX001R\nPAID: 2026-01-25\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 800\nGROSS: 20800.00\n(cid:5) HIGHLY CONFIDENTIAL"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001R",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 20800.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 96,
        "Allowance": 800.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SWITZERLAND\nIDENTITY CARD\nID: SW-950101-123\nNAME: MARTINA HINGIS\nDOB: 1980.09.30\nNATIONALITY: SWISS\n[LOGO: SWISS CROSS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "SW-950101-123",
    "ID_Number_confidence_score": 99,
    "Name": "MARTINA HINGIS",
    "Name_confidence_score": 98,
    "Date_of_Birth": "1980.09.30",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SWISS",
    "Nationality_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BACK CARE CLINIC\nINVOICE #BC-110\nDATE: 03/12/2025\nPATIENT: NOVAK DJOKOVIC\nAMT: $450.00\nGST: $40.50\nTOTAL: $490.50\nREMARKS: SPINAL ALIGNMENT TREATMENT.\n[STAMP: PAID ONLINE]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03/12/2025",
    "Date_of_Visit_confidence_score": 95,
    "Amt": "490.50",
    "Amt_confidence_score": 99,
    "GST": "40.50",
    "GST_confidence_score": 91,
    "Remarks": "SPINAL ALIGNMENT TREATMENT.",
    "Remarks_confidence_score": 82
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PARKWAY CLINIC & SURGERY\nMC NO: 9912\nNAME: ANDY MURRAY\nUNFIT FROM: 2025-11-01\nTO: 2025-11-15\nTYPE: HL\n[SCANNER NOISE: %%%]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2025-11-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2025-11-15",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AXA HEALTH INS\nCLAIM FORM\nINSURED: VENUS WILLIAMS\nCLAIMANT: VENUS WILLIAMS\nDATE: 2025-06-14\nDETAILS: WRIST FRACTURE DURING COMPETITIVE EVENT.\nDAYS/WK: 6\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "VENUS WILLIAMS",
    "Insured_confidence_score": 96,
    "Claimant": "VENUS WILLIAMS",
    "Claimant_confidence_score": 96,
    "Details": "WRIST FRACTURE DURING COMPETITIVE EVENT.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2025-06-14",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TECH GIANT PTE LTD\nPAYSLIP\nNAME: SATYA NADELLA\nNRIC: SXXXX112S\nPAID DATE: 2025-11-30\nBASIC: 45000\nBONUS: 10000\nALLOWANCE: 2000\nGROSS: 57000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112S",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 57000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "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 PORTUGAL\nIDENTITY CARD\nID: PRT-327100\nNAME: CRISTIANO RONALDO\nDOB: 05-02-1985\nNATIONALITY: PORTUGUESE\n[LOGO: ARMILLARY SPHERE]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "PRT-327100",
    "ID_Number_confidence_score": 99,
    "Name": "CRISTIANO RONALDO",
    "Name_confidence_score": 98,
    "Date_of_Birth": "05-02-1985",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "PORTUGUESE",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SENGKANG DENTAL\nBILLING NO: SK-1102\nDATE: 05-FEB-2026\nPATIENT: DUA LIPA\n---------------------------\nCLEANING: $65.00\nFILLING: $120.00\nGST: $16.65\nTOTAL PAYABLE: $201.65\nREMARKS: PAID BY NETS.\n[STAMP: DUPLICATE]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "05-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "201.65",
    "Amt_confidence_score": 99,
    "GST": "16.65",
    "GST_confidence_score": 92,
    "Remarks": "PAID BY NETS.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. WONG & PARTNERS\nMC SERIAL: 556211\nPATIENT NAME: ED SHEERAN\nNRIC: SXXXX443E\nUNFIT FROM: 2026-01-20 TO: 2026-01-22\nLEAVE TYPE: MC\n[LOGO: MEDICAL CROSS]\nSIGNED: DR. WONG (11282)"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LIBERTY MUTUAL CLAIM\nREF: LM-2025-001\nINSURED: JUSTIN BIEBER\nCLAIMANT: JUSTIN BIEBER\nDATE OF INCIDENT: 2025-10-15\nDETAILS: FRACTURED WRIST DURING STAGE SETUP.\nWORKING DAYS PER WEEK: 5\n[STAMP: URGENT ASSESSMENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JUSTIN BIEBER",
    "Insured_confidence_score": 97,
    "Claimant": "JUSTIN BIEBER",
    "Claimant_confidence_score": 97,
    "Details": "FRACTURED WRIST DURING STAGE SETUP.",
    "Details_confidence_score": 88,
    "Date_of_Accident": "2025-10-15",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 93
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MUSIC MASTERS PTE LTD\nMONTHLY SALARY ADVICE\nNAME: BILLIE EILISH\nNRIC: SXXXX992B\nDATE PAID: 2026-01-28\nBASIC: 12000.00\nBONUS: 0\nALLOWANCE: 1500.00\nGROSS PAYABLE: 13500.00\n(cid:10) NETT PAY: 10800.00"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-28",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX992B",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 13500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 82,
        "Allowance": 1500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SWEDEN\nNATIONAL ID CARD\nID: SE-123456789\nNAME: GRETA THUNBERG\nDOB: 2003/01/03\nNATIONALITY: SWEDISH\n[LOGO: THREE CROWNS]\nISSUE: STOCKHOLM"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "SE-123456789",
    "ID_Number_confidence_score": 99,
    "Name": "GRETA THUNBERG",
    "Name_confidence_score": 98,
    "Date_of_Birth": "2003/01/03",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SWEDISH",
    "Nationality_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TAN TOCK SENG HOSPITAL\nINVOICE: TTSH-7721\nDATE: 12-JAN-2026\nPATIENT: BENEDICT CUMBERBATCH\n---------------------------\nBLOOD TEST: $120.00\nCONSULTATION: $80.00\nGST 9%: $18.00\nTOTAL: $218.00\nREMARKS: CLAIMABLE UNDER SCHEME B.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "218.00",
    "Amt_confidence_score": 99,
    "GST": "18.00",
    "GST_confidence_score": 95,
    "Remarks": "CLAIMABLE UNDER SCHEME B.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. STRANGE NEUROSURGERY\nMC SERIAL: SANCTUM-1\nNAME: STEPHEN STRANGE\nNRIC: SXXXX771A\nUNFIT FROM: 2026-02-01 TO: 2026-02-14\nTYPE: HL\n[LOGO: EYE OF AGAMOTTO]\nDR. WONG (MCR 9921)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-02-01",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-02-14",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"STARK INDUSTRIES INS\nCLAIM FORM: SI-332\nINSURED: PETER PARKER\nCLAIMANT: PETER PARKER\nDATE: 15/12/2025\nDETAILS: RIB CONTUSION SUSTAINED DURING INTERNSHIP DRILL.\nWORKING DAYS: 5\n[STAMP: INTERN DEPT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "PETER PARKER",
    "Insured_confidence_score": 97,
    "Claimant": "PETER PARKER",
    "Claimant_confidence_score": 97,
    "Details": "RIB CONTUSION SUSTAINED DURING INTERNSHIP DRILL.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "15/12/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DAILY BUGLE MEDIA\nPAYSLIP JAN 2026\nNAME: J. JONAH JAMESON\nNRIC: SXXXX332H\nPAID DATE: 2026-01-25\nBASIC: 9500\nBONUS: 0\nALLOWANCE: 1000\nGROSS: 10500.00\n[FOOTER: EDITOR IN CHIEF]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332H",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 10500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 90,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ASGARD\nIDENTITY DOCUMENT\nID: AS-000001\nNAME: THOR ODINSON\nDOB: 01/01/0964\nNATIONALITY: ASGARDIAN\n[LOGO: MJOLNIR SEAL]\nVALID: FOREVER"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AS-000001",
    "ID_Number_confidence_score": 99,
    "Name": "THOR ODINSON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/01/0964",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ASGARDIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AVENGERS HEALTH CLINIC\nBILL NO: AV-112\nDATE: 12-FEB-2026\nPATIENT: NATASHA ROMANOFF\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY SHIELD.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "163.50",
    "Amt_confidence_score": 99,
    "GST": "13.50",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY SHIELD.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WAKANDA GENERAL HOSPITAL\nMC SERIAL: WG-110\nNAME: T'CHALLA\nNRIC: SXXXX221D\nUNFIT FROM: 2026-01-10 TO: 2026-01-20\nTYPE: HL\nDR. SHURI (MCR 9912)\n[STAMP: VIBRANIUM SEAL]"

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": "2026-01-20",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HYDRA PROTECTION\nCLAIM FORM #H-112\nINSURED: BUCKY BARNES\nCLAIMANT: BUCKY BARNES\nDATE: 2025-11-14\nDETAILS: METAL ARM CALIBRATION INJURY.\nWORKING DAYS: 6\n[STAMP: APPROVED BY PIERCE]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "BUCKY BARNES",
    "Insured_confidence_score": 98,
    "Claimant": "BUCKY BARNES",
    "Claimant_confidence_score": 98,
    "Details": "METAL ARM CALIBRATION INJURY.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SHIELD OPERATIONS\nPAYSLIP\nNAME: NICK FURY\nNRIC: SXXXX101A\nPAID DATE: 2025-12-28\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 2000\nGROSS: 27000.00\n(cid:12) LEVEL 10 CLEARANCE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX101A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 27000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 96,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SOKOVIA\nID CARD\nID: SK-35123456\nNAME: WANDA MAXIMOFF\nDOB: 10/02/1989\nNATIONALITY: SOKOVIAN\n[LOGO: EAGLE CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "SK-35123456",
    "ID_Number_confidence_score": 99,
    "Name": "WANDA MAXIMOFF",
    "Name_confidence_score": 99,
    "Date_of_Birth": "10/02/1989",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SOKOVIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"EYE OF THE STORM CLINIC\nINV #ES-991\nDATE: 03-FEB-2026\nPATIENT: ORORO MUNROE\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: WEATHER RELATED ILLNESS.\n[STAMP: PAID]"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"XAVIER'S SCHOOL MED\nMC NO: X-001\nNAME: SCOTT SUMMERS\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: HL\n[ILLEGIBLE SIGNATURE]\nDR. MCCOY (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:
"MUTANT LIABILITY INS\nCLAIM FORM\nINSURED: LOGAN HOWLETT\nCLAIMANT: LOGAN HOWLETT\nDATE: 2025-05-15\nDETAILS: LACERATION FROM METALLIC CLAW MALFUNCTION.\nWORKING DAYS: 7\n[STAMP: AUTO-REGENERATED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "LOGAN HOWLETT",
    "Insured_confidence_score": 96,
    "Claimant": "LOGAN HOWLETT",
    "Claimant_confidence_score": 96,
    "Details": "LACERATION FROM METALLIC CLAW MALFUNCTION.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 7,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"X-FORCE SERVICES\nPAYSLIP\nNAME: WADE WILSON\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 5000\nBONUS: 0\nALLOWANCE: 50\nGROSS: 5050.00\n[FOOTER: CHIMICHANGA FUND]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 5050.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 50.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF GENOSHA\nIDENTITY CARD\nID: GEN-1234567\nNAME: ERIK LEHNSHERR\nDOB: 26-01-1930\nNATIONALITY: GENOSHAN\n[LOGO: M-SHIELD]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "GEN-1234567",
    "ID_Number_confidence_score": 99,
    "Name": "ERIK LEHNSHERR",
    "Name_confidence_score": 99,
    "Date_of_Birth": "26-01-1930",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "GENOSHAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WAYNE MEDICAL\nBILL: WM-882\nDATE: 12/JAN/2026\nPATIENT: BRUCE WAYNE\nCONSULTATION: $500.00\nGST: $45.00\nTOTAL: $545.00\nREMARKS: PAID BY GOTHAM BANK.\nPAGE 1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ARKHAM ASYLUM MED\nMC SERIAL: AA-001\nNAME: JOKER\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: HL\n[ILLEGIBLE SIGNATURE]\nDR. QUINZEL (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "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:
"METROPOLIS INS\nCLAIM FORM\nINSURED: CLARK KENT\nCLAIMANT: CLARK KENT\nDATE: 2025-06-14\nDETAILS: BACK STRAIN FROM CARRYING PLANET STATUE.\nWORKING DAYS: 5\n[STAMP: APPROVED BY PERRY]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CLARK KENT",
    "Insured_confidence_score": 96,
    "Claimant": "CLARK KENT",
    "Claimant_confidence_score": 96,
    "Details": "BACK STRAIN FROM CARRYING PLANET STATUE.",
    "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:
"LEXCORP INDUSTRIES\nPAYSLIP\nNAME: LEX LUTHOR\nNRIC: SXXXX112K\nPAID DATE: 2025-11-30\nBASIC: 100000\nBONUS: 50000\nALLOWANCE: 10000\nGROSS: 160000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112K",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 160000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 50000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 10000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF KRYPTON\nID CARD\nID: KR-123456789\nNAME: KAL-EL\nDOB: 18/06/1938\nNATIONALITY: KRYPTONIAN\n[LOGO: HOUSE OF EL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "KR-123456789",
    "ID_Number_confidence_score": 99,
    "Name": "KAL-EL",
    "Name_confidence_score": 98,
    "Date_of_Birth": "18/06/1938",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "KRYPTONIAN",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CENTRAL CITY CLINIC\nBILL: CCC-102\nDATE: 12/JAN/2026\nPATIENT: BARRY ALLEN\nCONSULTATION: $80.00\nGST: $7.20\nTOTAL: $87.20\nREMARKS: PAID BY SPEEDY CASH.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "87.20",
    "Amt_confidence_score": 99,
    "GST": "7.20",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY SPEEDY CASH.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"STAR LABS MEDICAL\nMC SERIAL: SL-552\nNAME: IRIS WEST\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: HL\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:
"STARLING CITY INS\nCLAIM FORM\nINSURED: OLIVER QUEEN\nCLAIMANT: OLIVER QUEEN\nDATE: 2025-08-22\nDETAILS: ARROW WOUND CLEANING AT WORK.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "OLIVER QUEEN",
    "Insured_confidence_score": 97,
    "Claimant": "OLIVER QUEEN",
    "Claimant_confidence_score": 97,
    "Details": "ARROW WOUND CLEANING AT WORK.",
    "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:
"QUEEN CONSOLIDATED\nPAYSLIP\nNAME: FELICITY SMOAK\nNRIC: SXXXX007Z\nPAID DATE: 2025-10-31\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 17500.00\n[FOOTER: IT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007Z",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 17500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THEMYSCIRA\nIDENTITY CARD\nID: TH-12345678-D\nNAME: DIANA PRINCE\nDOB: 01/01/0001\nNATIONALITY: AMAZONIAN\n[LOGO: GOLDEN EAGLE]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "TH-12345678-D",
    "ID_Number_confidence_score": 99,
    "Name": "DIANA PRINCE",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/01/0001",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AMAZONIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BEDOK HEART CLINIC\nINV #BH-2026-001\nDATE: 03 JANUARY 2026\nPATIENT: HUGH JACKMAN\n---------------------------\nCONSULTATION: $120.00\nECG: $55.00\nGST 9%: $15.75\nTOTAL: $190.75\nREMARKS: PAID BY COMPANY INSURANCE.\n[STAMP: RECEIVED]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03 JANUARY 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "190.75",
    "Amt_confidence_score": 99,
    "GST": "15.75",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY COMPANY INSURANCE.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LOGAN SURGERY\nMC SERIAL: X-992\nPATIENT: JAMES HOWLETT\nNRIC: SXXXX882L\nUNFIT FROM: 2026-01-16 TO: 2026-01-18\nTYPE: MC\n[STAMP: CLINIC SEAL]\nNOTE: RECOVERY FROM LACERATION."

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-16",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-18",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TOKIO MARINE INSURANCE\nREF: TM-8821\nINSURED: PATRICK STEWART\nCLAIMANT: PATRICK STEWART\nDATE: 12/11/2025\nDETAILS: BACK STRAIN FROM SLIPPING IN THE OFFICE KITCHEN.\nWORKING DAYS: 5\n[STAMP: UNDER REVIEW]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "PATRICK STEWART",
    "Insured_confidence_score": 97,
    "Claimant": "PATRICK STEWART",
    "Claimant_confidence_score": 97,
    "Details": "BACK STRAIN FROM SLIPPING IN THE OFFICE KITCHEN.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "12/11/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 92
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"XAVIER ACADEMY\nPAYSLIP\nNAME: JEAN GREY\nNRIC: SXXXX991A\nPAID DATE: 2026-01-05\nBASIC: 7500\nBONUS: 0\nALLOWANCE: 1000\nGROSS: 8500.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-05",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX991A",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 8500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 84,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SOUTH AFRICA\nNATIONAL ID CARD\nID: 881212 5001 088\nNAME: CHARLIZE THERON\nDOB: 1975-08-07\nNATIONALITY: SOUTH AFRICAN\n[LOGO: PROTEA SEAL]\nVALID: 2030-01-01"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "881212 5001 088",
    "ID_Number_confidence_score": 99,
    "Name": "CHARLIZE THERON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "1975-08-07",
    "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:
"JURONG DENTAL CARE\nBILL: JD-992\nDATE: 15/JAN/2026\nPATIENT: MARGOT ROBBIE\nSCALING: $90.00\nFILLING: $150.00\nGST: $21.60\nTOTAL: $261.60\nREMARKS: PATIENT TO RETURN IN 6 MONTHS.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "15/JAN/2026",
    "Date_of_Visit_confidence_score": 97,
    "Amt": "261.60",
    "Amt_confidence_score": 99,
    "GST": "21.60",
    "GST_confidence_score": 95,
    "Remarks": "PATIENT TO RETURN IN 6 MONTHS.",
    "Remarks_confidence_score": 82
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MOUNT ELIZABETH NOVENA\nMC SERIAL: ME-882\nNAME: EMMA STONE\nNRIC: SXXXX221P\nUNFIT FROM: 2026-01-01 TO: 2026-01-05\nTYPE: HL\nDR. GOSLING (MCR 5521)\n[SCANNER NOISE: $$$]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-01",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-05",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MSIG BUSINESS CARE\nCLAIM FORM #9921\nINSURED: ANDREW GARFIELD\nCLAIMANT: ANDREW GARFIELD\nDATE: 2025-10-20\nDETAILS: SHOULDER SPRAIN FROM LIFTING EQUIPMENT.\nWORKING DAYS: 5.5\n[STAMP: APPROVED BY HR]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ANDREW GARFIELD",
    "Insured_confidence_score": 96,
    "Claimant": "ANDREW GARFIELD",
    "Claimant_confidence_score": 96,
    "Details": "SHOULDER SPRAIN FROM LIFTING EQUIPMENT.",
    "Details_confidence_score": 88,
    "Date_of_Accident": "2025-10-20",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5.5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"OSCORP INDUSTRIES\nPAYSLIP\nNAME: NORMAN OSBORN\nNRIC: SXXXX881L\nPAID DATE: 2025-12-30\nBASIC: 15000\nBONUS: 10000\nALLOWANCE: 500\nGROSS: 25500.00\n[FOOTER: CEO COPY - CONFIDENTIAL]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX881L",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 25500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 500.0,
        "Allowance_confidence_score": 82
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF FRANCE\nCARTE NATIONALE D'IDENTITE\nID: 2605 7511 2234\nNAME: MARION COTILLARD\nDOB: 30-09-1975\nNATIONALITY: FRANCAISE\n[LOGO: LIBERTE EGALITE FRATERNITE]\nEXPIRY: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "2605 7511 2234",
    "ID_Number_confidence_score": 99,
    "Name": "MARION COTILLARD",
    "Name_confidence_score": 99,
    "Date_of_Birth": "30-09-1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "FRANCAISE",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WOODLANDS MEDICAL HUB\nINV #WMH-102\nDATE: 12-FEB-2026\nPATIENT: TOM HARDY\nCONSULTATION: $55.00\nPHARMACY: $45.00\nGST: $9.00\nTOTAL: $109.00\nREMARKS: PAID BY NETS.\n[HANDWRITTEN: THANKS]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "109.00",
    "Amt_confidence_score": 99,
    "GST": "9.00",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY NETS.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. BANE CLINIC\nMC NO: 55210\nPATIENT: BRUCE WAYNE\nNRIC: SXXXX552L\nUNFIT FROM: 2026-02-10 TO: 2026-02-11\nTYPE: MC\n[ILLEGIBLE SIGNATURE]\nDR. ALFRED (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 96,
    "From_Date": "2026-02-10",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-02-11",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CHUBB ACCIDENT INSURANCE\nREF: CH-9901\nINSURED: MICHAEL CAINE\nCLAIMANT: MICHAEL CAINE\nDATE: 2025-09-14\nDETAILS: WRIST FRACTURE FROM TRIPPING ON STAIRS.\nWORKING DAYS: 5\n[STAMP: MEDICAL RECORDS REQUIRED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MICHAEL CAINE",
    "Insured_confidence_score": 97,
    "Claimant": "MICHAEL CAINE",
    "Claimant_confidence_score": 97,
    "Details": "WRIST FRACTURE FROM TRIPPING ON STAIRS.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-09-14",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 93
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WAYNE ENTERPRISES\nPAYSLIP\nNAME: ANNE HATHAWAY\nNRIC: SXXXX002K\nPAID DATE: 2025-11-28\nBASIC: 8500\nBONUS: 500\nALLOWANCE: 200\nGROSS: 9200.00\n[FOOTER: CONFIDENTIAL]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX002K",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 9200.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 500.0,
        "Bonus_confidence_score": 88,
        "Allowance": 200.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ITALY\nCARTA DI IDENTITA\nID: AA 0011223\nNAME: CILLIAN MURPHY\nDOB: 25 MAG 1976\nNATIONALITY: IRLANDESE\n[LOGO: STELLA D'ITALIA]\nEXPIRY: 2031"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AA 0011223",
    "ID_Number_confidence_score": 99,
    "Name": "CILLIAN MURPHY",
    "Name_confidence_score": 99,
    "Date_of_Birth": "25 MAG 1976",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "IRLANDESE",
    "Nationality_confidence_score": 96
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GLENEAGLES SPECIALIST\nBILL NO: GS-2210\nDATE: 03/01/2026\nPATIENT: ROBERT DOWNEY JR\nPROCEDURE: $4200.00\nGST: $378.00\nTOTAL: $4578.00\nREMARKS: POST-SURGERY FOLLOW UP.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03/01/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "4578.00",
    "Amt_confidence_score": 99,
    "GST": "378.00",
    "GST_confidence_score": 95,
    "Remarks": "POST-SURGERY FOLLOW UP.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MOUNT ALVERNIA CENTRE\nMC SERIAL: MA-991\nNAME: GWYNETH PALTROW\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: MC\n[ILLEGIBLE SIGNATURE]\nDR. PEPPER (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "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:
"AIA PERSONAL ACCIDENT\nCLAIM FORM\nINSURED: CHRIS EVANS\nCLAIMANT: CHRIS EVANS\nDATE: 2025-08-22\nDETAILS: ANKLE STRAIN DURING GYM SESSION.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CHRIS EVANS",
    "Insured_confidence_score": 97,
    "Claimant": "CHRIS EVANS",
    "Claimant_confidence_score": 97,
    "Details": "ANKLE STRAIN DURING GYM SESSION.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MARVEL STUDIOS\nPAYSLIP\nNAME: MARK RUFFALO\nNRIC: SXXXX007Z\nPAID DATE: 2025-10-31\nBASIC: 12000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 12500.00\n[FOOTER: SMASH PERFORMANCE]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007Z",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 12500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "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 GERMANY\nPERSONALAUSWEIS\nID: L01234567\nNAME: DIANE KRUGER\nDOB: 15/07/1976\nNATIONALITY: DEUTSCH\n[LOGO: BUNDESADLER]\nVALID UNTIL: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "L01234567",
    "ID_Number_confidence_score": 99,
    "Name": "DIANE KRUGER",
    "Name_confidence_score": 99,
    "Date_of_Birth": "15/07/1976",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "DEUTSCH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KALLANG MEDICAL CENTRE\nBILL: KMC-991\nDATE: 12/JAN/2026\nPATIENT: CHRIS HEMSWORTH\nCONSULTATION: $95.00\nGST: $8.55\nTOTAL: $103.55\nREMARKS: PAID BY APPLE PAY.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "103.55",
    "Amt_confidence_score": 99,
    "GST": "8.55",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY APPLE PAY.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. THORPE CLINIC\nMC SERIAL: TH-882\nNAME: NATALIE PORTMAN\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: MC\n[ILLEGIBLE SIGNATURE]\nDR. FOSTER (MCR 4410)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "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:
"LIBERTY MUTUAL INSURANCE\nCLAIM FORM\nINSURED: TOM HOLLAND\nCLAIMANT: TOM HOLLAND\nDATE: 2025-08-22\nDETAILS: RIB CONTUSION FROM STUNT FALL.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "TOM HOLLAND",
    "Insured_confidence_score": 97,
    "Claimant": "TOM HOLLAND",
    "Claimant_confidence_score": 97,
    "Details": "RIB CONTUSION FROM STUNT FALL.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DAILY BUGLE CORP\nPAYSLIP\nNAME: ZENDAYA COLEMAN\nNRIC: SXXXX007Z\nPAID DATE: 2025-10-31\nBASIC: 9000\nBONUS: 0\nALLOWANCE: 300\nGROSS: 9300.00\n[FOOTER: MEDIA RELATIONS]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007Z",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 9300.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 300.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF GREECE\nIDENTITY CARD\nID: GR 99201122\nNAME: JENNIFER ANISTON\nDOB: 11/02/1969\nNATIONALITY: ELLINIKI\n[LOGO: BLUE COAT OF ARMS]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "GR 99201122",
    "ID_Number_confidence_score": 99,
    "Name": "JENNIFER ANISTON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "11/02/1969",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ELLINIKI",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BISHAN FAMILY CLINIC\nINV: BFC-4451\nDATE: 06-JAN-2026\nPATIENT: LEONARDO DICAPRIO\n---------------------------\nCONSULTATION: $45.00\nMEDICINE: $35.00\nGST 9%: $7.20\nTOTAL: $87.20\nREMARKS: PAID BY CASH.\n[STAMP: THANK YOU]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "06-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "87.20",
    "Amt_confidence_score": 99,
    "GST": "7.20",
    "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. COBB PSYCHIATRY\nMC SERIAL: INC-901\nNAME: DOMINICK COBB\nNRIC: SXXXX112Z\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Outpatient Sick Leave\n[ILLEGIBLE SIGNATURE]\nDR. MAL (MCR 7721)\n(cid:10) DEEP SLEEP ADVISED"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DREAM INSURANCE LTD\nCLAIM FORM #DRM-771\nINSURED: ELLEN PAGE\nCLAIMANT: ELLEN PAGE\nDATE: 22/12/2025\nDETAILS: ARCHITECTURAL FALL DURING SITE VISIT.\nWORKING DAYS: 5.5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ELLEN PAGE",
    "Insured_confidence_score": 97,
    "Claimant": "ELLEN PAGE",
    "Claimant_confidence_score": 97,
    "Details": "ARCHITECTURAL FALL DURING SITE VISIT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "22/12/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5.5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"INCEPTION PRODUCTIONS\nPAYSLIP JAN 2026\nNAME: CILLIAN MURPHY\nNRIC: SXXXX332K\nPAID DATE: 2026-01-25\nBASIC: 12000\nBONUS: 5000\nALLOWANCE: 800\nGROSS: 17800.00\n[FOOTER: TOP SECRET]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332K",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 17800.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 800.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CANADIAN CITIZEN ID\nNO: CAN-0099881\nNAME: RYAN REYNOLDS\nDOB: 23/10/1976\nNATIONALITY: CANADIAN\n[LOGO: MAPLE LEAF]\nEXPIRY: 2035"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CAN-0099881",
    "ID_Number_confidence_score": 99,
    "Name": "RYAN REYNOLDS",
    "Name_confidence_score": 99,
    "Date_of_Birth": "23/10/1976",
    "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:
"MOUNT SINAI HOSPITAL\nBILL NO: MS-5521\nDATE: 14-FEB-2026\nPATIENT: BLAKE LIVELY\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY CORPORATE AMEX.\nPAGE 1/1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. DEADPOOL CLINIC\nMC SERIAL: DP-001\nNAME: WADE WILSON\nNRIC: SXXXX001W\nUNFIT FROM: 2026-01-10 TO: 2026-01-30\nTYPE: Hospitalization Leave\nDR. WEASEL (MCR 6612)\n[STAMP: REGENERATION PENDING]"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MARVEL INSURANCE GROUP\nCLAIM FORM #M-202\nINSURED: HUGH JACKMAN\nCLAIMANT: HUGH JACKMAN\nDATE: 2025-11-14\nDETAILS: ADAMANTIUM STIFFNESS AFTER TRAINING.\nWORKING DAYS: 6\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "HUGH JACKMAN",
    "Insured_confidence_score": 98,
    "Claimant": "HUGH JACKMAN",
    "Claimant_confidence_score": 98,
    "Details": "ADAMANTIUM STIFFNESS AFTER TRAINING.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"X-MEN GLOBAL CORP\nPAYSLIP\nNAME: CHARLES XAVIER\nNRIC: SXXXX001X\nPAID DATE: 2025-12-28\nBASIC: 20000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 25000.00\n(cid:12) ENDOWMENT FUND"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001X",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 25000.0,
        "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:
"AUSTRALIAN IDENTITY\nCARD NO: AUS-772101\nNAME: CHRIS HEMSWORTH\nDOB: 11/08/1983\nNATIONALITY: AUSTRALIAN\n[LOGO: KANGAROO & EMU]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AUS-772101",
    "ID_Number_confidence_score": 99,
    "Name": "CHRIS HEMSWORTH",
    "Name_confidence_score": 99,
    "Date_of_Birth": "11/08/1983",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "AUSTRALIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"THOR'S WELLNESS HUB\nINV #TH-991\nDATE: 03-FEB-2026\nPATIENT: NATALIE PORTMAN\nASTRO-CHECKUP: $450.00\nGST: $40.50\nTOTAL: $490.50\nREMARKS: PATIENT IS VIBRANT.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "490.50",
    "Amt_confidence_score": 99,
    "GST": "40.50",
    "GST_confidence_score": 94,
    "Remarks": "PATIENT IS VIBRANT.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. JANE FOSTER\nMC NO: MC-THOR\nNAME: CHRIS PRATT\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. FOSTER (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:
"GALAXY PROTECTION\nCLAIM FORM\nINSURED: ZOE SALDANA\nCLAIMANT: ZOE SALDANA\nDATE: 2025-05-15\nDETAILS: GREEN SKIN RASH AFTER SPACE TRAVEL.\nWORKING DAYS: 7\n[STAMP: INTERSTELLAR APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ZOE SALDANA",
    "Insured_confidence_score": 96,
    "Claimant": "ZOE SALDANA",
    "Claimant_confidence_score": 96,
    "Details": "GREEN SKIN RASH AFTER SPACE TRAVEL.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 7,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MILANO TRADING LTD\nPAYSLIP\nNAME: VIN DIESEL\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 15500.00\n[FOOTER: FAMILY FIRST]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 15500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BRAZILIAN ID CARD\nID: BR-882100X\nNAME: NEYMAR JUNIOR\nDOB: 05-02-1992\nNATIONALITY: BRASILEIRA\n[LOGO: COAT OF ARMS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "BR-882100X",
    "ID_Number_confidence_score": 99,
    "Name": "NEYMAR JUNIOR",
    "Name_confidence_score": 99,
    "Date_of_Birth": "05-02-1992",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRASILEIRA",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AL-HILAL MEDICAL\nBILL: AH-992\nDATE: 12/JAN/2026\nPATIENT: CRISTIANO RONALDO\nCONSULTATION: $1000.00\nGST: $90.00\nTOTAL: $1090.00\nREMARKS: PAID BY CLUB ACCOUNT.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "1090.00",
    "Amt_confidence_score": 99,
    "GST": "90.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CLUB ACCOUNT.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. GOAT SPORTS MED\nMC SERIAL: GT-001\nNAME: LIONEL MESSI\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. CUCCITTINI (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:
"WORLD SOCCER INS\nCLAIM FORM\nINSURED: KYLIAN MBAPPE\nCLAIMANT: KYLIAN MBAPPE\nDATE: 2025-06-14\nDETAILS: HAMSTRING TIGHTNESS DURING SPRINT.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "KYLIAN MBAPPE",
    "Insured_confidence_score": 96,
    "Claimant": "KYLIAN MBAPPE",
    "Claimant_confidence_score": 96,
    "Details": "HAMSTRING TIGHTNESS DURING SPRINT.",
    "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:
"REAL MADRID CF\nPAYSLIP\nNAME: JUDE BELLINGHAM\nNRIC: SXXXX112R\nPAID DATE: 2025-11-30\nBASIC: 50000\nBONUS: 20000\nALLOWANCE: 5000\nGROSS: 75000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112R",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 75000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 20000.0,
        "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:
"SPANISH DNI CARD\nID: ESP-12345678\nNAME: RAFAEL NADAL\nDOB: 03-06-1986\nNATIONALITY: ESPANOLA\n[LOGO: CROWN SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "ESP-12345678",
    "ID_Number_confidence_score": 99,
    "Name": "RAFAEL NADAL",
    "Name_confidence_score": 98,
    "Date_of_Birth": "03-06-1986",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "ESPANOLA",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CITY HEALTH CENTRE\nBILL: CH-102\nDATE: 12/JAN/2026\nPATIENT: CARLOS ALCARAZ\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: PAID BY DEBIT CARD.\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 DEBIT CARD.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TENNIS CARE CLINIC\nMC SERIAL: TC-552\nNAME: NOVAK DJOKOVIC\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. SERVIA (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:
"ATP TOUR INSURANCE\nCLAIM FORM\nINSURED: ROGER FEDERER\nCLAIMANT: ROGER FEDERER\nDATE: 2025-08-22\nDETAILS: BACK SPRAIN DURING EXHIBITION MATCH.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ROGER FEDERER",
    "Insured_confidence_score": 97,
    "Claimant": "ROGER FEDERER",
    "Claimant_confidence_score": 97,
    "Details": "BACK SPRAIN DURING EXHIBITION MATCH.",
    "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:
"UNICEF GLOBAL\nPAYSLIP\nNAME: SERENA WILLIAMS\nNRIC: SXXXX007Z\nPAID DATE: 2025-10-31\nBASIC: 25000\nBONUS: 0\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: AMBASSADOR PAY]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007Z",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF POLAND\nID CARD\nID: PL-992011S\nNAME: IGA SWIATEK\nDOB: 31/05/2001\nNATIONALITY: POLISH\n[LOGO: WHITE EAGLE]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "PL-992011S",
    "ID_Number_confidence_score": 99,
    "Name": "IGA SWIATEK",
    "Name_confidence_score": 99,
    "Date_of_Birth": "31/05/2001",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "POLISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WOODLANDS HEALTH CAMPUS\nINV: WHC-7721\nDATE: 07-JAN-2026\nPATIENT: RYAN GOSLING\n---------------------------\nCONSULTATION: $50.00\nX-RAY: $120.00\nGST 9%: $15.30\nTOTAL: $185.30\nREMARKS: PAID BY VISA.\n[HANDWRITTEN: Claims submitted]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "07-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "185.30",
    "Amt_confidence_score": 99,
    "GST": "15.30",
    "GST_confidence_score": 94,
    "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 SERIAL: BARB-01\nNAME: KEN ADAMS\nNRIC: SXXXX552K\nUNFIT FROM: 2026-01-12 TO: 2026-01-13\nTYPE: MC\n[ILLEGIBLE SIGNATURE]\nDR. KEN (MCR 8821)\n(cid:10) BEACH ACCESS DENIED"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-12",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-13",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MATTEL INSURANCE GROUP\nCLAIM FORM #M-991\nINSURED: MARGOT ROBBIE\nCLAIMANT: MARGOT ROBBIE\nDATE: 20/12/2025\nDETAILS: PLASTIC ANKLE SPRAIN DURING SHOOT.\nWORKING DAYS: 5\n[STAMP: PINK APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MARGOT ROBBIE",
    "Insured_confidence_score": 97,
    "Claimant": "MARGOT ROBBIE",
    "Claimant_confidence_score": 97,
    "Details": "PLASTIC ANKLE SPRAIN DURING SHOOT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "20/12/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KENDOM ENTERPRISES\nPAYSLIP JAN 2026\nNAME: SIMU LIU\nNRIC: SXXXX441L\nPAID DATE: 2026-01-25\nBASIC: 8500\nBONUS: 1000\nALLOWANCE: 200\nGROSS: 9700.00\n[FOOTER: JUST KEN]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX441L",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 9700.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 1000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 200.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF CANADA\nIDENTITY CARD\nID: CAN-4422110\nNAME: MICHAEL CERA\nDOB: 07/06/1988\nNATIONALITY: CANADIAN\n[LOGO: BEAVER SEAL]\nEXPIRY: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CAN-4422110",
    "ID_Number_confidence_score": 99,
    "Name": "MICHAEL CERA",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07/06/1988",
    "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:
"PULSE RADIOLOGY\nINV: PR-882\nDATE: 12-FEB-2026\nPATIENT: EMMA WATSON\nULTRASOUND: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: PAID BY MASTERCARD.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-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 MASTERCARD.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. GRANGER MEDICAL\nMC SERIAL: HW-991\nNAME: RUPERT GRINT\nNRIC: SXXXX221D\nUNFIT FROM: 2026-01-10 TO: 2026-01-15\nTYPE: HL\nDR. SNAPE (MCR 9912)\n[STAMP: POTIONS 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": "2026-01-15",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MAGIC INSURANCE\nCLAIM FORM #W-112\nINSURED: DANIEL RADCLIFFE\nCLAIMANT: DANIEL RADCLIFFE\nDATE: 2025-11-14\nDETAILS: WAND WRIST STRAIN DURING PRACTICE.\nWORKING DAYS: 6\n[STAMP: APPROVED BY MINISTRY]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "DANIEL RADCLIFFE",
    "Insured_confidence_score": 98,
    "Claimant": "DANIEL RADCLIFFE",
    "Claimant_confidence_score": 98,
    "Details": "WAND WRIST STRAIN DURING PRACTICE.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HOGWARTS PRODUCTIONS\nPAYSLIP\nNAME: TOM FELTON\nNRIC: SXXXX101A\nPAID DATE: 2025-12-28\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 17500.00\n(cid:12) SLYTHERIN BRANCH"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX101A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 17500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 96,
        "Allowance": 500.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-35123456\nNAME: HELENA BONHAM CARTER\nDOB: 26/05/1966\nNATIONALITY: BRITISH\n[LOGO: ROYAL CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-35123456",
    "ID_Number_confidence_score": 99,
    "Name": "HELENA BONHAM CARTER",
    "Name_confidence_score": 99,
    "Date_of_Birth": "26/05/1966",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SILICON VALLEY CLINIC\nINV #SV-991\nDATE: 03-FEB-2026\nPATIENT: PEDRO PASCAL\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: MANDO STRESS TEST.\n[STAMP: PAID]"

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


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

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HBO GLOBAL INSURANCE\nCLAIM FORM\nINSURED: NICK OFFERMAN\nCLAIMANT: NICK OFFERMAN\nDATE: 2025-05-15\nDETAILS: SPLINTER DURING WOODWORKING AT OFFICE.\nWORKING DAYS: 7\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "NICK OFFERMAN",
    "Insured_confidence_score": 96,
    "Claimant": "NICK OFFERMAN",
    "Claimant_confidence_score": 96,
    "Details": "SPLINTER DURING WOODWORKING AT OFFICE.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 7,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LAST OF US LTD\nPAYSLIP\nNAME: MURRAY BARTLETT\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 10000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 12500.00\n[FOOTER: PERFORMANCE BONUS]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 12500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF CHILE\nRESIDENCE CARD\nID: CL-1234567\nNAME: PEDRO PASCAL\nDOB: 02-04-1975\nNATIONALITY: CHILENO\n[LOGO: STAR SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CL-1234567",
    "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:
"KITCHEN CONFIDENTIAL\nBILL: KC-882\nDATE: 12/JAN/2026\nPATIENT: ANTHONY BOURDAIN\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY TRAVELER'S CHECK.\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 TRAVELER'S CHECK.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. RAMSAY CLINIC\nMC SERIAL: GR-001\nNAME: GORDON RAMSAY\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\nDR. SHOUT (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:
"CHEFS INSURANCE\nCLAIM FORM\nINSURED: JAMIE OLIVER\nCLAIMANT: JAMIE OLIVER\nDATE: 2025-06-14\nDETAILS: FINGER SLICE DURING FAST CHOPPING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JAMIE OLIVER",
    "Insured_confidence_score": 96,
    "Claimant": "JAMIE OLIVER",
    "Claimant_confidence_score": 96,
    "Details": "FINGER SLICE DURING FAST CHOPPING.",
    "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:
"HELL'S KITCHEN PTE LTD\nPAYSLIP\nNAME: NIGELLA LAWSON\nNRIC: SXXXX112K\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 21000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112K",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 21000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ITALY\nIDENTITY CARD\nID: IT-123456789\nNAME: MASSIMO BOTTURA\nDOB: 30/09/1962\nNATIONALITY: ITALIANA\n[LOGO: ITALIAN EMBLEM]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IT-123456789",
    "ID_Number_confidence_score": 99,
    "Name": "MASSIMO BOTTURA",
    "Name_confidence_score": 98,
    "Date_of_Birth": "30/09/1962",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "ITALIANA",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GLOBAL TECH MEDICAL\nBILL: GT-102\nDATE: 12/JAN/2026\nPATIENT: ELON MUSK\nCONSULTATION: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: PAID BY DOGECOIN.\nPAGE 1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MARS HEALTHCARE\nMC SERIAL: MH-552\nNAME: GRIMES\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: HL\n[ILLEGIBLE SIGNATURE]\nDR. XAE (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:
"SPACEX PROTECTION\nCLAIM FORM\nINSURED: JEFF BEZOS\nCLAIMANT: JEFF BEZOS\nDATE: 2025-08-22\nDETAILS: NECK STIFFNESS FROM LOOKING AT ROCKET LAUNCH.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JEFF BEZOS",
    "Insured_confidence_score": 97,
    "Claimant": "JEFF BEZOS",
    "Claimant_confidence_score": 97,
    "Details": "NECK STIFFNESS FROM LOOKING AT ROCKET LAUNCH.",
    "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:
"BLUE ORIGIN PTE LTD\nPAYSLIP\nNAME: LAUREN SANCHEZ\nNRIC: SXXXX007Z\nPAID DATE: 2025-10-31\nBASIC: 20000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 26000.00\n[FOOTER: AVIATION DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007Z",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 26000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SOUTH AFRICA\nIDENTITY CARD\nID: SA-12345678-D\nNAME: ELON MUSK\nDOB: 28/06/1971\nNATIONALITY: SOUTH AFRICAN\n[LOGO: COAT OF ARMS]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "SA-12345678-D",
    "ID_Number_confidence_score": 99,
    "Name": "ELON MUSK",
    "Name_confidence_score": 99,
    "Date_of_Birth": "28/06/1971",
    "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:
"RAFFLES MEDICAL GROUP\nINV: RMG-9921\nDATE: 08-JAN-2026\nPATIENT: SCARLETT JOHANSSON\n---------------------------\nCONSULTATION: $150.00\nLAB TESTS: $300.00\nGST 9%: $40.50\nTOTAL: $490.50\nREMARKS: SETTLED VIA CORPORATE BILLING.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "08-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "490.50",
    "Amt_confidence_score": 99,
    "GST": "40.50",
    "GST_confidence_score": 94,
    "Remarks": "SETTLED VIA CORPORATE BILLING.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. BLACK WIDOW CLINIC\nMC SERIAL: BW-007\nNAME: NATASHA ROMANOFF\nNRIC: SXXXX991B\nUNFIT FROM: 2026-01-12 TO: 2026-01-20\nTYPE: MC/Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. IVANOV (MCR 7721)\n(cid:10) RESTRICTED ACTIVITY"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 92,
    "From_Date": "2026-01-12",
    "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:
"AVENGERS ASSETS INS\nCLAIM FORM #AV-992\nINSURED: FLORENCE PUGH\nCLAIMANT: FLORENCE PUGH\nDATE: 15/12/2025\nDETAILS: SHOULDER DISLOCATION DURING COMBAT SIMULATION TRAINING.\nWORKING DAYS: 6\n[STAMP: URGENT EVALUATION]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "FLORENCE PUGH",
    "Insured_confidence_score": 97,
    "Claimant": "FLORENCE PUGH",
    "Claimant_confidence_score": 97,
    "Details": "SHOULDER DISLOCATION DURING COMBAT SIMULATION TRAINING.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "15/12/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RED ROOM SERVICES\nPAYSLIP JAN 2026\nNAME: RACHEL WEISZ\nNRIC: SXXXX441W\nPAID DATE: 2026-01-25\nBASIC: 18000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 20500.00\n[FOOTER: TOP SECRET]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX441W",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 20500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 500.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF RUSSIA\nIDENTITY CARD\nID: RU-7722110\nNAME: DAVID HARBOUR\nDOB: 10/04/1975\nNATIONALITY: RUSSIAN\n[LOGO: DOUBLE EAGLE]\nEXPIRY: 2032"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "RU-7722110",
    "ID_Number_confidence_score": 99,
    "Name": "DAVID HARBOUR",
    "Name_confidence_score": 99,
    "Date_of_Birth": "10/04/1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "RUSSIAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CITY RADIOLOGY CTR\nINV: CR-992\nDATE: 12-FEB-2026\nPATIENT: TOM HARDY\nCT SCAN: $800.00\nGST: $72.00\nTOTAL: $872.00\nREMARKS: PAID BY NETS.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "872.00",
    "Amt_confidence_score": 99,
    "GST": "72.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY NETS.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. VENOM CLINIC\nMC SERIAL: V-991\nNAME: EDDIE BROCK\nNRIC: SXXXX221E\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Sick Leave\nDR. SYMBIOTE (MCR 9912)\n[STAMP: HIGHLY INFECTIOUS]"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LIFE FOUNDATION INS\nCLAIM FORM #LF-112\nINSURED: MICHELLE WILLIAMS\nCLAIMANT: MICHELLE WILLIAMS\nDATE: 2025-11-14\nDETAILS: HEADACHE AND NAUSEA AFTER LAB EXPOSURE.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MICHELLE WILLIAMS",
    "Insured_confidence_score": 98,
    "Claimant": "MICHELLE WILLIAMS",
    "Claimant_confidence_score": 98,
    "Details": "HEADACHE AND NAUSEA AFTER LAB EXPOSURE.",
    "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:
"SAN FRANCISCO POST\nPAYSLIP\nNAME: RIZ AHMED\nNRIC: SXXXX101A\nPAID DATE: 2025-12-28\nBASIC: 9000\nBONUS: 1000\nALLOWANCE: 300\nGROSS: 10300.00\n(cid:12) EDITORIAL DEPT"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX101A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 10300.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 1000.0,
        "Bonus_confidence_score": 96,
        "Allowance": 300.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE UK\nID CARD\nID: UK-9922110\nNAME: WOODY HARRELSON\nDOB: 23/07/1961\nNATIONALITY: BRITISH\n[LOGO: ROYAL SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "UK-9922110",
    "ID_Number_confidence_score": 99,
    "Name": "WOODY HARRELSON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "23/07/1961",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "BRITISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DESERT WELLNESS CTR\nINV #DW-991\nDATE: 03-FEB-2026\nPATIENT: TIMOTHEE CHALAMET\nCONSULTATION: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: DEHYDRATION TREATMENT.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "272.50",
    "Amt_confidence_score": 99,
    "GST": "22.50",
    "GST_confidence_score": 94,
    "Remarks": "DEHYDRATION TREATMENT.",
    "Remarks_confidence_score": 88
  }
}


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

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GALACTIC SPICE INS\nCLAIM FORM\nINSURED: OSCAR ISAAC\nCLAIMANT: OSCAR ISAAC\nDATE: 2025-05-15\nDETAILS: SAND IRRITATION IN EYES FROM WORK FIELD TRIP.\nWORKING DAYS: 7\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "OSCAR ISAAC",
    "Insured_confidence_score": 96,
    "Claimant": "OSCAR ISAAC",
    "Claimant_confidence_score": 96,
    "Details": "SAND IRRITATION IN EYES FROM WORK FIELD TRIP.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 7,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ARRAKIS MINING LTD\nPAYSLIP\nNAME: JASON MOMOA\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 12000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 15000.00\n[FOOTER: SWORDMASTER PAY]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 15000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SWEDEN\nID CARD\nID: SE-1234567\nNAME: STELLAN SKARSGARD\nDOB: 13-06-1951\nNATIONALITY: SWEDISH\n[LOGO: THREE CROWNS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "SE-1234567",
    "ID_Number_confidence_score": 99,
    "Name": "STELLAN SKARSGARD",
    "Name_confidence_score": 99,
    "Date_of_Birth": "13-06-1951",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SWEDISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"FAST TRACK MEDICAL\nBILL: FT-882\nDATE: 12/JAN/2026\nPATIENT: VIN DIESEL\nCONSULTATION: $200.00\nGST: $18.00\nTOTAL: $218.00\nREMARKS: PAID BY DASH.\nPAGE 1"

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


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

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NITRO INSURANCE\nCLAIM FORM\nINSURED: MICHELLE RODRIGUEZ\nCLAIMANT: MICHELLE RODRIGUEZ\nDATE: 2025-06-14\nDETAILS: WHIPLASH DURING STUNT REHEARSAL.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MICHELLE RODRIGUEZ",
    "Insured_confidence_score": 96,
    "Claimant": "MICHELLE RODRIGUEZ",
    "Claimant_confidence_score": 96,
    "Details": "WHIPLASH DURING STUNT REHEARSAL.",
    "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:
"DOM'S GARAGE PTE LTD\nPAYSLIP\nNAME: TYRESE GIBSON\nNRIC: SXXXX112T\nPAID DATE: 2025-11-30\nBASIC: 10000\nBONUS: 1000\nALLOWANCE: 500\nGROSS: 11500.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX112T",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 11500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 1000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ISRAEL\nIDENTITY CARD\nID: IL-123456789\nNAME: GAL GADOT\nDOB: 30/04/1985\nNATIONALITY: ISRAELI\n[LOGO: MENORAH SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IL-123456789",
    "ID_Number_confidence_score": 99,
    "Name": "GAL GADOT",
    "Name_confidence_score": 98,
    "Date_of_Birth": "30/04/1985",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "ISRAELI",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SKY HIGH MEDICAL\nBILL: SH-102\nDATE: 12/JAN/2026\nPATIENT: TOM CRUISE\nCONSULTATION: $500.00\nGST: $45.00\nTOTAL: $545.00\nREMARKS: PAID BY AMEX BLACK.\nPAGE 1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. MAVERICK CLINIC\nMC SERIAL: TOP-552\nNAME: MILES TELLER\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. GOOSE (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:
"DANGER ZONE INS\nCLAIM FORM\nINSURED: JON HAMM\nCLAIMANT: JON HAMM\nDATE: 2025-08-22\nDETAILS: EAR DRUM PRESSURE FROM HIGH ALTITUDE FLIGHT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JON HAMM",
    "Insured_confidence_score": 97,
    "Claimant": "JON HAMM",
    "Claimant_confidence_score": 97,
    "Details": "EAR DRUM PRESSURE FROM HIGH ALTITUDE FLIGHT.",
    "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:
"NAVY AVIATION LTD\nPAYSLIP\nNAME: JENNIFER CONNELLY\nNRIC: SXXXX007C\nPAID DATE: 2025-10-31\nBASIC: 15000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 21000.00\n[FOOTER: FLIGHT DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007C",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 21000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE USA\nID CARD\nID: US-12345678-D\nNAME: VAL KILMER\nDOB: 31/12/1959\nNATIONALITY: AMERICAN\n[LOGO: EAGLE SEAL]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "US-12345678-D",
    "ID_Number_confidence_score": 99,
    "Name": "VAL KILMER",
    "Name_confidence_score": 99,
    "Date_of_Birth": "31/12/1959",
    "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:
"PUNGGOL WEST CLINIC\nINV: PWC.2026.110\nDATE: 09.JAN.2026\nPATIENT: CILLIAN MURPHY\n---------------------------\nCONSULTATION: $60.00\nCOUGH SYRUP: $25.00\nGST 9%: $7.65\nTOTAL: $92.65\nREMARKS: PATIENT REQUESTED HARD COPY.\n[STAMP: PAID IN FULL]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "09.JAN.2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "92.65",
    "Amt_confidence_score": 99,
    "GST": "7.65",
    "GST_confidence_score": 94,
    "Remarks": "PATIENT REQUESTED HARD COPY.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SHELBY MEDICAL\nMC SERIAL: PB-001\nNAME: THOMAS SHELBY\nNRIC: SXXXX112T\nUNFIT FROM: 2026-01-15 TO: 2026-01-17\nTYPE: MC\n[STAMP: BY ORDER OF THE PEAKY BLINDERS]\nDR. POL (MCR 4412)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-15",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-17",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BIRMINGHAM STEEL INS\nCLAIM FORM #BS-771\nINSURED: PAUL ANDERSON\nCLAIMANT: PAUL ANDERSON\nDATE: 12/11/2025\nDETAILS: LACERATION ON LEFT HAND FROM METAL CUTTER.\nWORKING DAYS: 5.5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "PAUL ANDERSON",
    "Insured_confidence_score": 97,
    "Claimant": "PAUL ANDERSON",
    "Claimant_confidence_score": 97,
    "Details": "LACERATION ON LEFT HAND FROM METAL CUTTER.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "12/11/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5.5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SHELBY COMPANY LTD\nPAYSLIP JAN 2026\nNAME: SOPHIE RUNDLE\nNRIC: SXXXX332S\nPAID DATE: 2026-01-25\nBASIC: 9000\nBONUS: 3000\nALLOWANCE: 1000\nGROSS: 13000.00\n[FOOTER: CONFIDENTIAL]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332S",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 13000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 3000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF IRELAND\nPASSPORT ID CARD\nID: IE-9911220\nNAME: BARRY KEOGHAN\nDOB: 18/10/1992\nNATIONALITY: IRISH\n[LOGO: HARP SEAL]\nEXPIRY: 2034"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IE-9911220",
    "ID_Number_confidence_score": 99,
    "Name": "BARRY KEOGHAN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "18/10/1992",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "IRISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"QUEEN MARY HOSPITAL\nINV: QM-882\nDATE: 12 02 2026\nPATIENT: HELENA BONHAM CARTER\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY HOSPITAL VOUCHER.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12 02 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "327.00",
    "Amt_confidence_score": 99,
    "GST": "27.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY HOSPITAL VOUCHER.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. WATSON CLINIC\nMC SERIAL: SH-221\nNAME: MARTIN FREEMAN\nNRIC: SXXXX221M\nUNFIT FROM: 2026-01-10 TO: 2026-01-11\nTYPE: OL\nDR. JOHN (MCR 9912)\n[STAMP: BAKER STREET MEDICAL]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-11",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SCOTLAND YARD INS\nCLAIM FORM #SY-112\nINSURED: BENEDICT CUMBERBATCH\nCLAIMANT: BENEDICT CUMBERBATCH\nDATE: 2025-11-14\nDETAILS: ANKLE SPRAIN DURING CHASE IN LONDON.\nWORKING DAYS: 6\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "BENEDICT CUMBERBATCH",
    "Insured_confidence_score": 98,
    "Claimant": "BENEDICT CUMBERBATCH",
    "Claimant_confidence_score": 98,
    "Details": "ANKLE SPRAIN DURING CHASE IN LONDON.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 95
  }
}