Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ST. LUKE'S MEDICAL CTR\nINV-99021\nDATE: 12/JAN/2026\nPATIENT: AMANDA TEH\n[STAMP: PAID]\nCONSULTATION.......$40.00\nLAB TESTS..........$110.00\nGST (9%): $13.50\nTOTAL DUE: $163.50\nREMARKS: CHRONIC CARE SUBSIDY APPLIED.\nPAGE 01/01"

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": 94,
    "Remarks": "CHRONIC CARE SUBSIDY APPLIED.",
    "Remarks_confidence_score": 82
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ONG & ASSOCIATES\n15-02-2026\nTO WHOM IT MAY CONCERN\nTHIS IS TO CERTIFY THAT MR. KENNETH KOH (SXXXX882A)\nIS UNFIT FOR DUTY FROM 15-02-2026 TO 17-02-2026\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\n(cid:15) RECOVERY ADVISED"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 91,
    "From_Date": "15-02-2026",
    "From_Date_confidence_score": 99,
    "To_Date": "17-02-2026",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PRU-SHIELD INSURANCE\nCLAIM FORM #8821\nINSURED: LIM SWEE HOCK\nCLAIMANT: LIM SWEE HOCK\nACCIDENT DATE: 2025-12-01\nDETAILS: VEHICLE COLLISION AT PIE EXIT 15. WHIPLASH SUSTAINED.\nEMPLOYMENT: 5 DAYS/WEEK\nWORK DAYS PER WEEK: 5\n[BARCODE: 1002231]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "LIM SWEE HOCK",
    "Insured_confidence_score": 97,
    "Claimant": "LIM SWEE HOCK",
    "Claimant_confidence_score": 97,
    "Details": "VEHICLE COLLISION AT PIE EXIT 15. WHIPLASH SUSTAINED.",
    "Details_confidence_score": 85,
    "Date_of_Accident": "2025-12-01",
    "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:
"TECHNO SOLUTIONS PTE LTD\nMONTHLY PAYSLIP\nEMP ID: 554\nPAID DATE: 2026-01-30\nNRIC: SXXXX443J\nBASIC: 6200\nBONUS: 0\nALLOWANCE: 500\nGROSS PAYABLE: 6700.00\n[FOOTER: CONFIDENTIAL]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX443J",
        "NRIC_confidence_score": 95,
        "Gross_Payable": 6700.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 88,
        "Allowance": 500.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLICA DE PORTUGAL\nCARTAO DE CIDADAO\nID: 15522309\nNAME: ANA PAULA GOMES\nDOB: 1992-04-22\nNATIONALITY: PORTUGUESE\nSEX: F\nVALID UNTIL: 2030-01-01\n[CHIP MODULE]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "15522309",
    "ID_Number_confidence_score": 99,
    "Name": "ANA PAULA GOMES",
    "Name_confidence_score": 98,
    "Date_of_Birth": "1992-04-22",
    "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:
"KIDNEY & RENAL CARE CENTER\nBILL NO: TXN-00122\nDATE: 05/11/2025\nTOTAL AMT: 2450.50\nGST INCL: 202.30\nREMARKS: IN-PATIENT DIALYSIS TREATMENT.\n[LOGO: MEDICAL CROSS]\nPAYMENT STATUS: PENDING"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "05/11/2025",
    "Date_of_Visit_confidence_score": 96,
    "Amt": "2450.50",
    "Amt_confidence_score": 99,
    "GST": "202.30",
    "GST_confidence_score": 92,
    "Remarks": "IN-PATIENT DIALYSIS TREATMENT.",
    "Remarks_confidence_score": 85
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GENERAL HOSPITAL MC\nREF: 2025-MC-001\nTHIS CERTIFIES THAT MR. DAVID TAN\nWAS UNFIT FOR WORK FROM 2025-08-10 TO 2025-08-25\nTYPE: HL\nISSUED BY: DR. RAJESH\n[QR CODE SCANNER ARTIFACT]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2025-08-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2025-08-25",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AIA LIFE ASSURANCE\nCLAIMANT: SARAH MEYER\nINSURED: SARAH MEYER\nDATE OF ACCIDENT: 04/04/2025\nDETAILS: TRIP AND FALL AT SUBWAY STATION. KNEE INJURY.\nDAYS PER WEEK: 6\nCLAIM REF: 992-A\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SARAH MEYER",
    "Insured_confidence_score": 98,
    "Claimant": "SARAH MEYER",
    "Claimant_confidence_score": 98,
    "Details": "TRIP AND FALL AT SUBWAY STATION. KNEE INJURY.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "04/04/2025",
    "Date_of_Accident_confidence_score": 96,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 90
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CREATIVE MEDIA WORKS\nPAYSLIP FOR FEB 2026\nNAME: JASON LEE\nNRIC: SXXXX771K\nPAID DATE: 2026-02-27\nBASIC: 4000\nBONUS: 500\nALLOWANCE: 150\nGROSS: 4650.00\n(cid:10) TAX DEDUCTED AT SOURCE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-02-27",
        "Paid_Date_confidence_score": 97,
        "NRIC": "SXXXX771K",
        "NRIC_confidence_score": 94,
        "Gross_Payable": 4650.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 500.0,
        "Bonus_confidence_score": 93,
        "Allowance": 150.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"FEDERAL REPUBLIC OF GERMANY\nID CARD (PERSONALAUSWEIS)\nID: L098HH221\nNAME: ERIK SCHMIDT\nDOB: 15.09.1985\nNATIONALITY: DEUTSCH\n[LOGO: EAGLE]\nEXPIRY: 10.10.2031"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "L098HH221",
    "ID_Number_confidence_score": 99,
    "Name": "ERIK SCHMIDT",
    "Name_confidence_score": 99,
    "Date_of_Birth": "15.09.1985",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "DEUTSCH",
    "Nationality_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DENTAL PLUS CLINIC\nRECEIPT #772\nVISIT DATE: 22-OCT-2025\nNAME: BELLA SWAN\nX-RAY: $80\nCLEANING: $120\nGST: $18.00\nTOTAL: $218.00\nREMARKS: NEXT CLEANING DUE IN 6 MONTHS.\n[HANDWRITTEN: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "22-OCT-2025",
    "Date_of_Visit_confidence_score": 97,
    "Amt": "218.00",
    "Amt_confidence_score": 99,
    "GST": "18.00",
    "GST_confidence_score": 95,
    "Remarks": "NEXT CLEANING DUE IN 6 MONTHS.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ELITE MEDICAL GROUP\nMC-CERTIFICATE\nPATIENT: ROBERT DOWNEY\nUNFIT FROM: 11/11/2025\nTO: 11/12/2025\nTYPE: LD\n[STAMP: CLINIC SEAL]\nNOTE: LIGHT DUTY ONLY NO HEAVY LIFTING"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "LD",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "11/11/2025",
    "From_Date_confidence_score": 96,
    "To_Date": "11/12/2025",
    "To_Date_confidence_score": 96
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ALLIANZ ACCIDENT CARE\nCLAIM FORM\nINSURED: FATIMA BINTE\nCLAIMANT: FATIMA BINTE\nDATE OF ACCIDENT: 2025-07-20\nDETAILS: BURN INJURY IN KITCHEN AREA DURING WORK.\nWORK DAYS/WK: 5\n[SCANNER NOISE: @@@@@@]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "FATIMA BINTE",
    "Insured_confidence_score": 95,
    "Claimant": "FATIMA BINTE",
    "Claimant_confidence_score": 95,
    "Details": "BURN INJURY IN KITCHEN AREA DURING WORK.",
    "Details_confidence_score": 88,
    "Date_of_Accident": "2025-07-20",
    "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:
"GLOBAL BANKING CORP\nPAYSLIP\nNAME: SUSAN LIM\nNRIC: SXXXX332G\nPAID DATE: 2025-11-28\nBASIC: 8500\nBONUS: 2000\nALLOWANCE: 0\nGROSS: 10500.00\n(cid:2) EMPLOYEE COPY"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332G",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 10500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 0.0,
        "Allowance_confidence_score": 82
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MALAYSIA IDENTITY CARD\n(KAD PENGENALAN)\nID: 900101-14-5567\nNAME: AHMAD BIN ISMAIL\nDOB: 01-01-1990\nNATIONALITY: WARGANEGARA\nADDRESS: KUALA LUMPUR\n[HOLOGRAM VECTOR]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "900101-14-5567",
    "ID_Number_confidence_score": 99,
    "Name": "AHMAD BIN ISMAIL",
    "Name_confidence_score": 98,
    "Date_of_Birth": "01-01-1990",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "WARGANEGARA",
    "Nationality_confidence_score": 96
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RADIOLOGY PARTNERS\nINVOICE: RAD-202\nDATE: 03/03/2026\nPATIENT: CHRIS HEMSWORTH\nMRI SCAN: $500.00\nGST: $45.00\nTOTAL: $545.00\nREMARKS: INSURANCE CO-PAY 20%.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03/03/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "545.00",
    "Amt_confidence_score": 99,
    "GST": "45.00",
    "GST_confidence_score": 95,
    "Remarks": "INSURANCE CO-PAY 20%.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"COMMUNITY CLINIC MC\nNO: 55621\nTHIS IS TO CERTIFY MR LI XIAO\nIS UNFIT FOR DUTY\nFROM: 2026-01-01\nTO: 2026-01-03\nTYPE: OL\nDR. WONG (MCR 5521)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 93,
    "From_Date": "2026-01-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-03",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NTUC INCOME\nCLAIMANT: RAJ GUPTA\nINSURED: RAJ GUPTA\nDATE: 2025-05-15\nDETAILS: FRACTURED WRIST DURING FOOTBALL MATCH.\nDAYS PER WEEK: 5\nREF: INC-00982-K\n[STAMP: PENDING VERIFICATION]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RAJ GUPTA",
    "Insured_confidence_score": 96,
    "Claimant": "RAJ GUPTA",
    "Claimant_confidence_score": 96,
    "Details": "FRACTURED WRIST DURING FOOTBALL MATCH.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-05-15",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RETAIL SOLUTIONS LTD\nPAYSLIP\nNAME: EMILY BLUNT\nNRIC: SXXXX990L\nDATE: 2025-10-31\nBASIC: 3200\nBONUS: 0\nALLOWANCE: 300\nGROSS: 3500.00\n------------------\nTHANK YOU."

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX990L",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 3500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 90,
        "Allowance": 300.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KINGDOM OF THAILAND\nIDENTITY CARD\nID: 3 1009 0022 1\nNAME: SOMCHAI REE\nDOB: 1988-08-08\nNATIONALITY: THAI\nISSUE: BANGKOK\n[CHIP]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "3 1009 0022 1",
    "ID_Number_confidence_score": 99,
    "Name": "SOMCHAI REE",
    "Name_confidence_score": 98,
    "Date_of_Birth": "1988-08-08",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "THAI",
    "Nationality_confidence_score": 96
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RAFFLES MEDICAL GROUP\nRECIEPT #883921-X\nVISIT: 12-01-2026\nPATIENT: GARY VEE\n[LOGO: RMG]\nTOTAL: $122.40\nGST: $10.12\nREMARKS: PATIENT APPLIED CORPORATE DISCOUNT.\n(cid:10) TXN SUCCESSFUL\nPAGE 01"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-01-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "122.40",
    "Amt_confidence_score": 99,
    "GST": "10.12",
    "GST_confidence_score": 94,
    "Remarks": "PATIENT APPLIED CORPORATE DISCOUNT.",
    "Remarks_confidence_score": 87
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SINGAPORE GENERAL HOSP\nMC NO: 2026-990-11\nMR. TAN KOK MENG (SXXXX112D)\nIS GRANTED HL FROM 2026-01-16 TO 2026-01-30\n(TOTAL 15 DAYS)\n[STAMP: ADMITTED]\nDR. PHUA (MCR: 99120)\n------------------"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-16",
    "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:
"AIG INSURANCE PORTAL\nCLAIMANT: REBECCA LOW\nINSURED: REBECCA LOW\nACCIDENT DATE: 10/11/2025\nDETAILS: FRACTURED INDEX FINGER DURING MACHINE OPERATION.\nWORK DAYS/WK: 5.5\nREF: AIG-00992-0\n[SCANNER STREAK: ||||||]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "REBECCA LOW",
    "Insured_confidence_score": 97,
    "Claimant": "REBECCA LOW",
    "Claimant_confidence_score": 97,
    "Details": "FRACTURED INDEX FINGER DURING MACHINE OPERATION.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "10/11/2025",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5.5,
    "Working_days_per_week_confidence_score": 85
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"FAST FOOD EMPIRE PTE LTD\nPAYSLIP\nNAME: SITI AMINAH\nNRIC: SXXXX554Z\nPAID: 2026-01-05\nBASIC: 2100\nBONUS: 0\nALLOWANCE: 450\nGROSS: 2550.00\n[FOOTER: FOR INTERNAL USE ONLY]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-05",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX554Z",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 2550.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 88,
        "Allowance": 450.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF INDIA\nIDENTITY CARD (AADHAAR)\nID: 4552 9901 2234\nNAME: PRIYA SHARMA\nDOB: 01/05/1995\nSEX: FEMALE\nNATIONALITY: INDIAN\n[QR CODE IMAGE]\nADDRESS: MUMBAI, MH"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "4552 9901 2234",
    "ID_Number_confidence_score": 99,
    "Name": "PRIYA SHARMA",
    "Name_confidence_score": 98,
    "Date_of_Birth": "01/05/1995",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "INDIAN",
    "Nationality_confidence_score": 96
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HEALTHWAY MEDICAL\nTAX INVOICE: 99201\nVISIT: 05-JAN-2026\nPATIENT: LARRY PAGE\nAMT: 88.50\nGST: 7.97\nREMARKS: OUTPATIENT CHARGES.\n[STAMP: DUPLICATE]\nCASHIER: MICK"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "05-JAN-2026",
    "Date_of_Visit_confidence_score": 96,
    "Amt": "88.50",
    "Amt_confidence_score": 99,
    "GST": "7.97",
    "GST_confidence_score": 93,
    "Remarks": "OUTPATIENT CHARGES.",
    "Remarks_confidence_score": 85
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SMITH ORTHO\nCERTIFICATE OF UNFITNESS\nNAME: BRUCE WAYNE\nFROM: 2025-12-20\nTO: 2025-12-22\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\nREF: MC-883"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2025-12-20",
    "From_Date_confidence_score": 99,
    "To_Date": "2025-12-22",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GEICO GENERAL INSURANCE\nACCIDENT FORM #001\nINSURED: PETER PARKER\nCLAIMANT: PETER PARKER\nDATE: 2026-01-10\nDETAILS: REAR-END COLLISION ON MAIN ST. MINOR BRUISES.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "PETER PARKER",
    "Insured_confidence_score": 98,
    "Claimant": "PETER PARKER",
    "Claimant_confidence_score": 98,
    "Details": "REAR-END COLLISION ON MAIN ST. MINOR BRUISES.",
    "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:
"FINANCE CORP HUB\nPAY ADVICE\nNAME: KEVIN HART\nNRIC: SXXXX119H\nPAID DATE: 2025-12-28\nBASIC: 9000\nBONUS: 4500\nALLOWANCE: 200\nGROSS PAYABLE: 13700.00\n(cid:12) CONFIDENTIAL"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX119H",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 13700.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 4500.0,
        "Bonus_confidence_score": 94,
        "Allowance": 200.0,
        "Allowance_confidence_score": 86
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE PHILIPPINES\nID: 992-001-223\nNAME: JUAN DELA CRUZ\nDOB: 12 OCT 1980\nNATIONALITY: FILIPINO\n[LOGO: SEAL]\nEXPIRY: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "992-001-223",
    "ID_Number_confidence_score": 99,
    "Name": "JUAN DELA CRUZ",
    "Name_confidence_score": 98,
    "Date_of_Birth": "12 OCT 1980",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "FILIPINO",
    "Nationality_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"EYE SPECIALIST CLINIC\nINVOICE #E-992\nDATE: 14/01/2026\nPATIENT: DIANA PRINCE\nSURGERY: $1200.00\nGST: $108.00\nTOTAL: $1308.00\nREMARKS: LASIK PROCEDURE COMPLETED.\n[HANDWRITTEN: INV SENT]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14/01/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "1308.00",
    "Amt_confidence_score": 99,
    "GST": "108.00",
    "GST_confidence_score": 95,
    "Remarks": "LASIK PROCEDURE COMPLETED.",
    "Remarks_confidence_score": 89
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MINISTRY OF HEALTH MC\nPATIENT: STEVE ROGERS\nUNFIT FROM: 01/01/2026\nTO: 05/01/2026\nTYPE: HL\nISSUED: DR. STRANGE\n[QR CODE]\nNOTE: BED REST REQUIRED"

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": "05/01/2026",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MANULIFE PROTECTION\nCLAIM FORM\nINSURED: NATASHA ROMANOFF\nCLAIMANT: NATASHA ROMANOFF\nDATE: 2025-08-22\nDETAILS: WRIST SPRAIN FROM GYM FALL.\nWORK DAYS: 6\n[STAMP: PROCESSING]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "NATASHA ROMANOFF",
    "Insured_confidence_score": 97,
    "Claimant": "NATASHA ROMANOFF",
    "Claimant_confidence_score": 97,
    "Details": "WRIST SPRAIN FROM GYM FALL.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 91
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WEB SERVICES LTD\nPAYSLIP JAN 2026\nNAME: TONY STARK\nNRIC: SXXXX001A\nPAID: 2026-01-25\nBASIC: 15000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 21000.00\n(cid:5) HIGHLY CONFIDENTIAL"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 21000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 96,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF KOREA\nRESIDENT CARD\nID: 950101-1234567\nNAME: KIM MIN-JI\nDOB: 1995.01.01\nNATIONALITY: KOREAN\n[LOGO: KOREAN SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "950101-1234567",
    "ID_Number_confidence_score": 99,
    "Name": "KIM MIN-JI",
    "Name_confidence_score": 98,
    "Date_of_Birth": "1995.01.01",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "KOREAN",
    "Nationality_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"VET CARE SPECIALIST\nINVOICE #V-110\nDATE: 03/12/2025\nOWNER/PATIENT: BARKER/DOG\nAMT: $250.00\nGST: $22.50\nTOTAL: $272.50\nREMARKS: POST-SURGERY CHECKUP.\n[STAMP: PAID CASH]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03/12/2025",
    "Date_of_Visit_confidence_score": 95,
    "Amt": "272.50",
    "Amt_confidence_score": 99,
    "GST": "22.50",
    "GST_confidence_score": 91,
    "Remarks": "POST-SURGERY CHECKUP.",
    "Remarks_confidence_score": 82
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LOCAL CLINIC & SURGERY\nMC NO: 8821\nNAME: WANDA MAXIMOFF\nUNFIT FROM: 2025-11-01\nTO: 2025-11-02\nTYPE: OL\n[SCANNER NOISE: %%%]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2025-11-01",
    "From_Date_confidence_score": 99,
    "To_Date": "2025-11-02",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AVIVA INSURANCE\nCLAIM FORM\nINSURED: CLINT BARTON\nCLAIMANT: CLINT BARTON\nDATE: 2025-06-14\nDETAILS: SHOULDER DISLOCATION DURING ARCHERY.\nDAYS/WK: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CLINT BARTON",
    "Insured_confidence_score": 96,
    "Claimant": "CLINT BARTON",
    "Claimant_confidence_score": 96,
    "Details": "SHOULDER DISLOCATION DURING ARCHERY.",
    "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:
"F&B HOLDINGS\nPAYSLIP\nNAME: SCOTT LANG\nNRIC: SXXXX112K\nPAID DATE: 2025-11-30\nBASIC: 2800\nBONUS: 0\nALLOWANCE: 100\nGROSS: 2900.00\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": 2900.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 100.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF INDONESIA\nKTP (IDENTITAS)\nID: 3271002239100\nNAME: BUDI SANTOSO\nDOB: 10-10-1982\nNATIONALITY: WNI\n[LOGO: GARUDA PANCCASILA]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "3271002239100",
    "ID_Number_confidence_score": 99,
    "Name": "BUDI SANTOSO",
    "Name_confidence_score": 98,
    "Date_of_Birth": "10-10-1982",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "WNI",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SENGKANG GENERAL CLINIC\nBILLING NO: SG-1102\nDATE: 05-FEB-2026\nPATIENT: RACHEL CHUA\n---------------------------\nCONSULTATION: $35.00\nPHARMACY: $22.40\nGST: $5.17\nTOTAL PAYABLE: $62.57\nREMARKS: PAID BY NETS. REF #11922.\n[STAMP: DUPLICATE COPY]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "05-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "62.57",
    "Amt_confidence_score": 99,
    "GST": "5.17",
    "GST_confidence_score": 92,
    "Remarks": "PAID BY NETS. REF #11922.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LOW & PARTNERS ENT\nMC SERIAL: 556210\nPATIENT NAME: BENJAMIN TAN\nNRIC: SXXXX443G\nUNFIT FROM: 2026-01-20 TO: 2026-01-21\nLEAVE TYPE: OL\n[LOGO: MEDICAL CADUCEUS]\nSIGNED: DR. LOW (99282)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-20",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-21",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AXA ACCIDENT CLAIM\nREF: AXA-2025-001\nINSURED: MOHAMMED ALI\nCLAIMANT: MOHAMMED ALI\nDATE OF INCIDENT: 2025-10-15\nDETAILS: FRACTURED RADIUS DURING WAREHOUSE LOADING.\nWORKING DAYS PER WEEK: 5.5\n[STAMP: URGENT ASSESSMENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MOHAMMED ALI",
    "Insured_confidence_score": 97,
    "Claimant": "MOHAMMED ALI",
    "Claimant_confidence_score": 97,
    "Details": "FRACTURED RADIUS DURING WAREHOUSE LOADING.",
    "Details_confidence_score": 88,
    "Date_of_Accident": "2025-10-15",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5.5,
    "Working_days_per_week_confidence_score": 93
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LOGISTICS MASTERS PTE LTD\nMONTHLY SALARY ADVICE\nNAME: S. VENKATESH\nNRIC: SXXXX992A\nDATE PAID: 2026-01-28\nBASIC: 4200.00\nBONUS: 0\nALLOWANCE: 350.00\nGROSS PAYABLE: 4550.00\n(cid:10) NETT PAY: 3640.00"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-28",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX992A",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 4550.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 82,
        "Allowance": 350.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF CHINA (TAIWAN)\nNATIONAL ID CARD\nID: A123456789\nNAME: CHEN MEI-LING\nDOB: 1985/06/12\nNATIONALITY: R.O.C.\n[GHOST IMAGE OVERLAY]\nISSUE: TAIPEI CITY"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "A123456789",
    "ID_Number_confidence_score": 99,
    "Name": "CHEN MEI-LING",
    "Name_confidence_score": 98,
    "Date_of_Birth": "1985/06/12",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "R.O.C.",
    "Nationality_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CITY RADIOLOGY LAB\nINV-44102\nDATE: 10/11/2025\nNAME: HARVEY SPECTER\nX-RAY CHEST: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: REFERRED BY DR. DONNA.\nPAGE 1 OF 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "10/11/2025",
    "Date_of_Visit_confidence_score": 97,
    "Amt": "163.50",
    "Amt_confidence_score": 99,
    "GST": "13.50",
    "GST_confidence_score": 95,
    "Remarks": "REFERRED BY DR. DONNA.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MOUNT ELIZABETH HOSP\nMEDICAL CERTIFICATE\nSERIAL: MC-7712\nNAME: JESSICA PEARSON\nUNFIT FROM: 14-FEB-2026 TO: 28-FEB-2026\nTYPE: HL\n[STAMP: CLINIC SEAL]\nDR. LOUIS LITT (MCR: 4421)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "14-FEB-2026",
    "From_Date_confidence_score": 98,
    "To_Date": "28-FEB-2026",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LIBERTY MUTUAL INSURANCE\nCLAIM FORM #9921\nINSURED: MIKE ROSS\nCLAIMANT: MIKE ROSS\nACCIDENT DATE: 2026-01-05\nDETAILS: VEHICLE SKIDDED DUE TO OIL SLICK. BACK INJURY.\nWORKING DAYS: 5\n[SCANNER NOISE: @@@@@@]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MIKE ROSS",
    "Insured_confidence_score": 98,
    "Claimant": "MIKE ROSS",
    "Claimant_confidence_score": 98,
    "Details": "VEHICLE SKIDDED DUE TO OIL SLICK. BACK INJURY.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2026-01-05",
    "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:
"PEARSON HARDMAN LLP\nPAYSLIP\nPERIOD: DEC 2025\nPAID DATE: 2025-12-31\nNAME: RACHEL ZANE\nNRIC: SXXXX551C\nBASIC: 5500\nBONUS: 2000\nALLOWANCE: 100\nGROSS: 7600.00\n(cid:12) PRIVATE AND CONFIDENTIAL"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX551C",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 7600.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 94,
        "Allowance": 100.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SOCIALIST REPUBLIC OF VIETNAM\nIDENTITY CARD\nNO: 012345678912\nNAME: NGUYEN VAN A\nDOB: 19/02/1990\nNATIONALITY: VIETNAMESE\n[STAMP: CUC CANH SAT]\nEXPIRY: 19/02/2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "012345678912",
    "ID_Number_confidence_score": 99,
    "Name": "NGUYEN VAN A",
    "Name_confidence_score": 98,
    "Date_of_Birth": "19/02/1990",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "VIETNAMESE",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WOODLANDS DENTAL CARE\nTAX RECEIPT: 8821\nDATE: 03/JAN/2026\nPATIENT: OLIVER QUEEN\nROOT CANAL: $800.00\nGST (9%): $72.00\nTOTAL: $872.00\nREMARKS: FOLLOW UP IN 1 WEEK.\n[HANDWRITTEN: PAID BY VISA]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "872.00",
    "Amt_confidence_score": 99,
    "GST": "72.00",
    "GST_confidence_score": 96,
    "Remarks": "FOLLOW UP IN 1 WEEK.",
    "Remarks_confidence_score": 82
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HEALTH HUB CLINIC\nMC NO: 2210\nPATIENT: FELICITY SMOAK\nUNFIT FROM: 2026-01-10\nTO: 2026-01-11\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\nREF: CLINIC-A"

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": 99,
    "To_Date": "2026-01-11",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"QUEEN CONSOLIDATED INS\nCLAIM FORM\nINSURED: JOHN DIGGLE\nCLAIMANT: JOHN DIGGLE\nDATE: 2025-09-22\nDETAILS: KNEE INJURY DURING FIELD EXERCISE.\nWORK DAYS/WEEK: 6\n[STAMP: RECEIVED NOV 2025]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JOHN DIGGLE",
    "Insured_confidence_score": 96,
    "Claimant": "JOHN DIGGLE",
    "Claimant_confidence_score": 96,
    "Details": "KNEE INJURY DURING FIELD EXERCISE.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-09-22",
    "Date_of_Accident_confidence_score": 98,
    "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:
"STAR LABS INC.\nPAYSLIP\nNAME: BARRY ALLEN\nNRIC: SXXXX001Z\nPAID DATE: 2025-11-28\nBASIC: 6000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 6500.00\n[FOOTER: SPEEDY PAYMENT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX001Z",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 6500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"UNITED ARAB EMIRATES\nEMIRATES ID\nID: 784-1990-1234567-1\nNAME: OMAR AL SAYED\nDOB: 01/01/1990\nNATIONALITY: EMIRATI\n[CHIP MODULE]\nVALID UNTIL: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "784-1990-1234567-1",
    "ID_Number_confidence_score": 99,
    "Name": "OMAR AL SAYED",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01/01/1990",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "EMIRATI",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CITY DERMATOLOGY\nRECEIPT: CD-9902\nVISIT DATE: 12-FEB-2026\nPATIENT: SELINA KYLE\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\nREMARKS: COSMETIC TREATMENT NOT CLAIMABLE.\n[LOGO: RADIANT SKIN]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-FEB-2026",
    "Date_of_Visit_confidence_score": 96,
    "Amt": "130.80",
    "Amt_confidence_score": 99,
    "GST": "10.80",
    "GST_confidence_score": 94,
    "Remarks": "COSMETIC TREATMENT NOT CLAIMABLE.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GOTHAM GENERAL HOSP\nMC CERTIFICATE\nNAME: ARTHUR FLECK\nUNFIT FROM: 01/01/2026\nTO: 07/01/2026\nTYPE: HL\nISSUED BY: DR. ARKHAM\n[SCANNER NOISE: $$$]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "01/01/2026",
    "From_Date_confidence_score": 98,
    "To_Date": "07/01/2026",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"WAYNE ENTERPRISES INS\nCLAIM FORM\nINSURED: LUCIUS FOX\nCLAIMANT: LUCIUS FOX\nDATE: 2025-12-12\nDETAILS: FINGER CRUSH INJURY DURING PROTOTYPE TESTING.\nWORK DAYS/WK: 5\n[STAMP: APPROVED BY CEO]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "LUCIUS FOX",
    "Insured_confidence_score": 97,
    "Claimant": "LUCIUS FOX",
    "Claimant_confidence_score": 97,
    "Details": "FINGER CRUSH INJURY DURING PROTOTYPE TESTING.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2025-12-12",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DAILY PLANET NEWS\nPAYSLIP JAN 2026\nNAME: CLARK KENT\nNRIC: SXXXX882B\nPAID DATE: 2026-01-25\nBASIC: 4500\nBONUS: 0\nALLOWANCE: 200\nGROSS: 4700.00\n[FOOTER: TRUTH AND JUSTICE]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX882B",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 4700.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 82,
        "Allowance": 200.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SOUTH AFRICA\nIDENTITY DOCUMENT\nID: 900505 5001 08 2\nNAME: THABO MBEKI\nDOB: 1990/05/05\nNATIONALITY: SOUTH AFRICAN\n[LOGO: COAT OF ARMS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "900505 5001 08 2",
    "ID_Number_confidence_score": 99,
    "Name": "THABO MBEKI",
    "Name_confidence_score": 98,
    "Date_of_Birth": "1990/05/05",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SOUTH AFRICAN",
    "Nationality_confidence_score": 96
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"B0NK LAY MEDICAL CENTRE\n1NV-00921-A\nDATE: 12-FEB-2026\nPAT1ENT: L1M CHEE KONG\n[LOGO: GREEN CROSS]\nC0NSULTATION: $45.00\nMED1C1NE: $32.10\nGST 9%: $6.94\nTOTAL AMT: $84.04\nREMARKS: P@1D BY CR3DIT CARD. AUTH: 8821.\nPAGE 01/01"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12-FEB-2026",
    "Date_of_Visit_confidence_score": 97,
    "Amt": "84.04",
    "Amt_confidence_score": 99,
    "GST": "6.94",
    "GST_confidence_score": 94,
    "Remarks": "P@1D BY CR3DIT CARD. AUTH: 8821.",
    "Remarks_confidence_score": 81
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"S|NGAPORE HEALTH SERV\nMC REF: 2026/01/992\nMR. SIVAKUMAR R (SXXXX001J)\nUNF|T F0R DUTY FR0M 2026-02-01 T0 2026-02-14\nREAS0N: HL\n[STAMP: MEDICAL OFFICERS SEAL]\nDR. CHOW (MCR: 44321)"

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:
"T0K10 MAR1NE INSURANCE\nCLA1M F0RM: TM-882\nINSURED: W0NG MEI LING\nCLA1MANT: W0NG MEI LING\nACC1DENT DATE: 12/12/2025\nDETA1LS: L@CERAT10N 0N LEFT HAND DURING PACK@G1NG.\nW0RK DAYS PER WEEK: 5\n[SCANNER ERROR: ####################]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "W0NG MEI LING",
    "Insured_confidence_score": 95,
    "Claimant": "W0NG MEI LING",
    "Claimant_confidence_score": 95,
    "Details": "L@CERAT10N 0N LEFT HAND DURING PACK@G1NG.",
    "Details_confidence_score": 82,
    "Date_of_Accident": "12/12/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 90
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GL0BAL SH1PP1NG PTE LTD\nPAYSL1P F0R JAN 2026\nNAME: ABDUL RAHMAN\nNR1C: SXXXX332L\nPA1D DATE: 2026-01-30\nBAS1C: 3800.00\nB0NUS: 500.00\nALL0WANCE: 150.00\nGR0SS PAYABLE: 4450.00\n[F00TER: ELECTR0N1CALLY GENERATED]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX332L",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 4450.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 500.0,
        "Bonus_confidence_score": 92,
        "Allowance": 150.0,
        "Allowance_confidence_score": 89
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBL1C 0F FRANCE\nCARTE NATIONALE D'IDENTITE\n1D: 020475100223\nNAME: JEAN DUP0NT\nD0B: 15/05/1975\nNAT10NAL1TY: FRANCA1SE\n[H0L0GRAM: MAR1ANNE]\nVAL1D UNT1L: 2030-12-31"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "020475100223",
    "ID_Number_confidence_score": 99,
    "Name": "JEAN DUP0NT",
    "Name_confidence_score": 98,
    "Date_of_Birth": "15/05/1975",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "FRANCA1SE",
    "Nationality_confidence_score": 96
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SKIN & LASER CENTRE\nBILL: SL-889\nDATE: 14/01/2026\nPATIENT: CHRIS PINE\nPROCEDURE: $450.00\nGST: $40.50\nTOTAL: $490.50\nREMARKS: FOLLOW-UP APPOINTMENT IN 2 WEEKS.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14/01/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "490.50",
    "Amt_confidence_score": 99,
    "GST": "40.50",
    "GST_confidence_score": 95,
    "Remarks": "FOLLOW-UP APPOINTMENT IN 2 WEEKS.",
    "Remarks_confidence_score": 85
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. TEO'S CLINIC\nMC NO: MC99210\nPATIENT: ELIZABETH OLSEN\nNRIC: SXXXX552K\nUNFIT FROM: 10-02-2026 TO: 11-02-2026\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\n(cid:18) SCAN ARTIFACT"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 97,
    "From_Date": "10-02-2026",
    "From_Date_confidence_score": 99,
    "To_Date": "11-02-2026",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ETIQA INSURANCE\nCLAIM: ETQ-8822\nINSURED: TOM HARDY\nCLAIMANT: TOM HARDY\nDATE: 2026-01-05\nDETAILS: SHOULDER INJURY DURING LOADING DOCK ACCIDENT.\nWORKING DAYS: 5.5\n[STAMP: PROCESSING]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "TOM HARDY",
    "Insured_confidence_score": 98,
    "Claimant": "TOM HARDY",
    "Claimant_confidence_score": 98,
    "Details": "SHOULDER INJURY DURING LOADING DOCK ACCIDENT.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2026-01-05",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 5.5,
    "Working_days_per_week_confidence_score": 92
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TECH INNOVATORS PTE LTD\nPAYSLIP\nNAME: CILLIAN MURPHY\nNRIC: SXXXX771P\nPAID DATE: 2026-01-25\nBASIC: 7200\nBONUS: 1000\nALLOWANCE: 300\nGROSS: 8500.00\n------------------\nPAGE 1"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX771P",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 8500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 1000.0,
        "Bonus_confidence_score": 94,
        "Allowance": 300.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ITALY\nCARTA DI IDENTITA\nID: AS1234567\nNAME: MARCO ROSSI\nDOB: 20-05-1988\nNATIONALITY: ITALIANA\n[LOGO: STELLA D'ITALIA]\nVALID: 20-05-2028"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AS1234567",
    "ID_Number_confidence_score": 99,
    "Name": "MARCO ROSSI",
    "Name_confidence_score": 98,
    "Date_of_Birth": "20-05-1988",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ITALIANA",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"VIVA HEALTH CLINIC\nINVOICE: VV-102\nDATE: 03/FEB/2026\nPATIENT: ANNA KENDRICK\nCONSULT: $40.00\nMEDS: $15.00\nGST: $4.95\nTOTAL: $59.95\nREMARKS: CASH PAYMENT.\n[STAMP: DUPLICATE]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03/FEB/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "59.95",
    "Amt_confidence_score": 99,
    "GST": "4.95",
    "GST_confidence_score": 92,
    "Remarks": "CASH PAYMENT.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RAFFLES HOSPITAL\nMC SERIAL: RH-8871\nPATIENT: PEDRO PASCAL\nNRIC: SXXXX991C\nUNFIT FROM: 2026-02-12 TO: 2026-02-14\nTYPE: HL\nDR. LIM (MCR 4412)\n[LOGO: RAFFLES]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-02-12",
    "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:
"CHUBB ACCIDENT INS\nCLAIM: CH-9901\nINSURED: OSCAR ISAAC\nCLAIMANT: OSCAR ISAAC\nDATE: 2025-11-20\nDETAILS: ANKLE TWIST AT OFFICE STAIRS.\nWORKING DAYS: 5\n[STAMP: RECEIVED DEC 2025]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "OSCAR ISAAC",
    "Insured_confidence_score": 97,
    "Claimant": "OSCAR ISAAC",
    "Claimant_confidence_score": 97,
    "Details": "ANKLE TWIST AT OFFICE STAIRS.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-20",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MEDIA CORP HUB\nPAYSLIP\nNAME: FLORENCE PUGH\nNRIC: SXXXX332M\nPAID DATE: 2026-01-30\nBASIC: 5500\nBONUS: 0\nALLOWANCE: 400\nGROSS: 5900.00\n[FOOTER: CONFIDENTIAL]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 5900.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 88,
        "Allowance": 400.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF INDONESIA\nIDENTITY CARD (KTP)\nID: 3171050505800001\nNAME: SITI HALIMAH\nDOB: 05-05-1980\nNATIONALITY: WNI\n[STAMP: DKI JAKARTA]\nVALID: SEUMUR HIDUP"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "3171050505800001",
    "ID_Number_confidence_score": 99,
    "Name": "SITI HALIMAH",
    "Name_confidence_score": 98,
    "Date_of_Birth": "05-05-1980",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "WNI",
    "Nationality_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CITY RADIOLOGY\nINVOICE: CR-552\nDATE: 12/JAN/2026\nPATIENT: RAMI MALEK\nULTRASOUND: $220.00\nGST: $19.80\nTOTAL: $239.80\nREMARKS: NO FURTHER TREATMENT NEEDED.\n[LOGO: PULSE]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 97,
    "Amt": "239.80",
    "Amt_confidence_score": 99,
    "GST": "19.80",
    "GST_confidence_score": 95,
    "Remarks": "NO FURTHER TREATMENT NEEDED.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"COMMUNITY HEALTH MC\nSERIAL: 44321\nNAME: ZENDAYA COLEMAN\nUNFIT FROM: 2026-01-15\nTO: 2026-01-16\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\nDR. JONES (MCR 1120)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 94,
    "From_Date": "2026-01-15",
    "From_Date_confidence_score": 99,
    "To_Date": "2026-01-16",
    "To_Date_confidence_score": 99
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ALLIANZ GLOBAL\nCLAIM FORM\nINSURED: TOM HOLLAND\nCLAIMANT: TOM HOLLAND\nDATE: 2025-10-10\nDETAILS: WRIST FRACTURE DURING STUNT PRACTICE.\nWORKING DAYS: 6\n[STAMP: URGENT REVIEW]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "TOM HOLLAND",
    "Insured_confidence_score": 96,
    "Claimant": "TOM HOLLAND",
    "Claimant_confidence_score": 96,
    "Details": "WRIST FRACTURE DURING STUNT PRACTICE.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-10-10",
    "Date_of_Accident_confidence_score": 98,
    "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:
"WEB ASSETS LTD\nPAYSLIP\nNAME: TIMOTHEE CHALAMET\nNRIC: SXXXX441D\nPAID DATE: 2025-11-28\nBASIC: 4000\nBONUS: 0\nALLOWANCE: 100\nGROSS: 4100.00\n[FOOTER: PAID VIA GIRO]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX441D",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 4100.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 100.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"JAPAN RESIDENCE CARD\nID: AB12345678CD\nNAME: TANAKA KEN\nDOB: 1992-12-12\nNATIONALITY: JAPAN\n[LOGO: CHRYSANTHEMUM]\nVALID: 2030-12-12"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "AB12345678CD",
    "ID_Number_confidence_score": 99,
    "Name": "TANAKA KEN",
    "Name_confidence_score": 98,
    "Date_of_Birth": "1992-12-12",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "JAPAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BEDOK SOUTH MEDICAL CLINIC\nINV #BS-9910\nDATE: 03-JAN-2026\nPATIENT: MEGAN FOX\nCONSULTATION: $38.00\nPHARMACY: $15.50\nGST: $4.82\nTOTAL: $58.32\nREMARKS: NEXT APPT IN 2 WEEKS.\n[STAMP: PAID BY CASH]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "58.32",
    "Amt_confidence_score": 99,
    "GST": "4.82",
    "GST_confidence_score": 93,
    "Remarks": "NEXT APPT IN 2 WEEKS.",
    "Remarks_confidence_score": 85
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. KOH SURGERY & ENT\nMC SERIAL: 77210\nPATIENT: AUSTIN BUTLER\nNRIC: SXXXX441G\nUNFIT FROM: 2026-01-16 TO: 2026-01-17\nTYPE: LD\n[STAMP: CLINIC SEAL]\nNOTE: NO HEAVY LIFTING OR STANDING FOR > 1 HOUR."

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "LD",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-16",
    "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:
"FWD INSURANCE PORTAL\nREF: FWD-992\nINSURED: HENRY CAVILL\nCLAIMANT: HENRY CAVILL\nDATE: 12/11/2025\nDETAILS: BACK STRAIN FROM LIFTING SERVER RACKS.\nWORKING DAYS: 5.5\n[STAMP: UNDER REVIEW]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "HENRY CAVILL",
    "Insured_confidence_score": 97,
    "Claimant": "HENRY CAVILL",
    "Claimant_confidence_score": 97,
    "Details": "BACK STRAIN FROM LIFTING SERVER RACKS.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "12/11/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5.5,
    "Working_days_per_week_confidence_score": 92
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KRYPTON TECH PTE LTD\nPAYSLIP\nNAME: LARA LOR-VAN\nNRIC: SXXXX991A\nPAID DATE: 2026-01-05\nBASIC: 6800\nBONUS: 0\nALLOWANCE: 600\nGROSS: 7400.00\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": 7400.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 84,
        "Allowance": 600.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF KENYA\nNATIONAL ID CARD\nID: 299100223\nNAME: JOJO MUKASA\nDOB: 12.12.1988\nNATIONALITY: KENYAN\n[LOGO: TWO LIONS]\nVALID: 2030-01-01"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "299100223",
    "ID_Number_confidence_score": 99,
    "Name": "JOJO MUKASA",
    "Name_confidence_score": 99,
    "Date_of_Birth": "12.12.1988",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "KENYAN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PEDIATRIC CARE CENTRE\nBILL: P-882\nDATE: 15/JAN/2026\nPATIENT: BABY SHARK\nCONSULT: $60.00\nVACCINATION: $120.00\nGST: $16.20\nTOTAL: $196.20\nREMARKS: WELL CHILD VISIT.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "15/JAN/2026",
    "Date_of_Visit_confidence_score": 97,
    "Amt": "196.20",
    "Amt_confidence_score": 99,
    "GST": "16.20",
    "GST_confidence_score": 95,
    "Remarks": "WELL CHILD VISIT.",
    "Remarks_confidence_score": 82
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ALEXANDRA HOSPITAL\nMC SERIAL: AX-991\nNAME: GAL GADOT\nNRIC: SXXXX221P\nUNFIT FROM: 2026-01-01 TO: 2026-01-05\nTYPE: HL\nDR. TREVOR (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 INSURANCE\nCLAIM FORM #8812\nINSURED: BEN AFFLECK\nCLAIMANT: BEN AFFLECK\nDATE: 2025-10-20\nDETAILS: WRIST SPRAIN FROM FALLING OFF CHAIR AT DESK.\nWORKING DAYS: 5\n[STAMP: APPROVED BY HR]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "BEN AFFLECK",
    "Insured_confidence_score": 96,
    "Claimant": "BEN AFFLECK",
    "Claimant_confidence_score": 96,
    "Details": "WRIST SPRAIN FROM FALLING OFF CHAIR AT DESK.",
    "Details_confidence_score": 88,
    "Date_of_Accident": "2025-10-20",
    "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:
"WAYNE TECH SOLUTIONS\nPAYSLIP\nNAME: ALFRED PENNYWORTH\nNRIC: SXXXX881L\nPAID DATE: 2025-12-30\nBASIC: 9500\nBONUS: 5000\nALLOWANCE: 200\nGROSS: 14700.00\n[FOOTER: CONFIDENTIAL - ESTATE COPY]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX881L",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 14700.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 200.0,
        "Allowance_confidence_score": 82
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF SINGAPORE\nNRIC CARD\nID: S8822334G\nNAME: TAN AH KOW\nDOB: 01-01-1988\nNATIONALITY: SINGAPORE CITIZEN\n[LOGO: LION HEAD]\nADDRESS: 123 ANG MO KIO ST 11"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "S8822334G",
    "ID_Number_confidence_score": 99,
    "Name": "TAN AH KOW",
    "Name_confidence_score": 99,
    "Date_of_Birth": "01-01-1988",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SINGAPORE CITIZEN",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"THE DENTAL STUDIO\nINV #DS-102\nDATE: 12-FEB-2026\nPATIENT: MARGOT ROBBIE\nSCALING & POLISH: $100.00\nGST: $9.00\nTOTAL: $109.00\nREMARKS: PAID BY NETS.\n[HANDWRITTEN: THANK YOU]"

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:
"NEIGHBORHOOD CLINIC\nMC NO: 22910\nPATIENT: RYAN GOSLING\nNRIC: SXXXX552L\nUNFIT FROM: 2026-02-10 TO: 2026-02-11\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\nDR. KEN (MCR 8821)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "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:
"AIA INDIVIDUAL CLAIMS\nREF: AIA-8812\nINSURED: WILL SMITH\nCLAIMANT: WILL SMITH\nDATE: 2025-09-14\nDETAILS: FRACTURED NOSE DURING BOXING SESSION.\nWORKING DAYS: 6\n[STAMP: MEDICAL RECORDS REQUIRED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "WILL SMITH",
    "Insured_confidence_score": 97,
    "Claimant": "WILL SMITH",
    "Claimant_confidence_score": 97,
    "Details": "FRACTURED NOSE DURING BOXING SESSION.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "2025-09-14",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 93
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BARBIE LAND CORP\nPAYSLIP\nNAME: KEN DOLL\nNRIC: SXXXX002K\nPAID DATE: 2025-11-28\nBASIC: 2500\nBONUS: 100\nALLOWANCE: 50\nGROSS: 2650.00\n[FOOTER: BEACH COPY]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX002K",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 2650.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 100.0,
        "Bonus_confidence_score": 88,
        "Allowance": 50.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF THE PHILIPPINES\nID: 102-990-112\nNAME: MANNY PACQUIAO\nDOB: 17 DEC 1978\nNATIONALITY: FILIPINO\n[LOGO: EAGLE SEAL]\nEXPIRY: 2029"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "102-990-112",
    "ID_Number_confidence_score": 99,
    "Name": "MANNY PACQUIAO",
    "Name_confidence_score": 99,
    "Date_of_Birth": "17 DEC 1978",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "FILIPINO",
    "Nationality_confidence_score": 96
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GLENEAGLES HOSPITAL\nBILL NO: GH-1102\nDATE: 03/01/2026\nPATIENT: JASON MOMOA\nSURGERY CHARGES: $5500.00\nGST: $495.00\nTOTAL: $5995.00\nREMARKS: IN-PATIENT CARE.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03/01/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "5995.00",
    "Amt_confidence_score": 99,
    "GST": "495.00",
    "GST_confidence_score": 95,
    "Remarks": "IN-PATIENT CARE.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MOUNT ALVERNIA HOSP\nMC SERIAL: MA-552\nNAME: AMBER HEARD\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: HL\n[ILLEGIBLE SIGNATURE]\nDR. MERA (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:
"LIBERTY INSURANCE\nCLAIM FORM\nINSURED: TOM CRUISE\nCLAIMANT: TOM CRUISE\nDATE: 2025-08-22\nDETAILS: SHOULDER DISLOCATION DURING STUNT COORDINATION.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "TOM CRUISE",
    "Insured_confidence_score": 97,
    "Claimant": "TOM CRUISE",
    "Claimant_confidence_score": 97,
    "Details": "SHOULDER DISLOCATION DURING STUNT COORDINATION.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MISSION IMPOSSIBLE LTD\nPAYSLIP\nNAME: ETHAN HUNT\nNRIC: SXXXX007Z\nPAID DATE: 2025-10-31\nBASIC: 12000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 12500.00\n[FOOTER: THIS PAYSLIP WILL SELF-DESTRUCT]"

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:
"NEW ZEALAND IDENTITY\nID: NZL-88210\nNAME: JACINDA ARDERN\nDOB: 26/07/1980\nNATIONALITY: NEW ZEALANDER\n[LOGO: SILVER FERN]\nVALID UNTIL: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "NZL-88210",
    "ID_Number_confidence_score": 99,
    "Name": "JACINDA ARDERN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "26/07/1980",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "NEW ZEALANDER",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SINGAPORE DENTAL HEALTH\nINV: DH-5521\nDATE: 05-JAN-2026\nPATIENT: EMMA WATSON\n---------------------------\nORAL EXAM: $50.00\nX-RAY: $120.00\nGST 9%: $15.30\nTOTAL: $185.30\nREMARKS: PAID BY NETS.\n[STAMP: CLINIC COPY]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "05-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 NETS.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. CHEN MEDICAL GROUP\nMC SERIAL: 882101\nNAME: DANIEL RADCLIFFE\nNRIC: SXXXX772K\nUNFIT FROM: 2026-02-01 TO: 2026-02-03\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\nDR. CHEN (MCR 1234)\n(cid:15) RECOVERY ADVISED"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "OL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-02-01",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-02-03",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GREAT EASTERN INSURANCE\nCLAIM FORM #GE-990\nINSURED: RUPERT GRINT\nCLAIMANT: RUPERT GRINT\nDATE: 15/12/2025\nDETAILS: KNEE SPRAIN DURING LADDER CLIMB AT WORK.\nWORKING DAYS: 5.5\n[STAMP: URGENT PROCESSING]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "RUPERT GRINT",
    "Insured_confidence_score": 97,
    "Claimant": "RUPERT GRINT",
    "Claimant_confidence_score": 97,
    "Details": "KNEE SPRAIN DURING LADDER CLIMB AT WORK.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "15/12/2025",
    "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:
"MAGIC PRODUCTIONS LTD\nPAYSLIP JAN 2026\nNAME: HERMIONE GRANGER\nNRIC: SXXXX332J\nPAID DATE: 2026-01-25\nBASIC: 8500\nBONUS: 1000\nALLOWANCE: 400\nGROSS: 9900.00\n[FOOTER: TOP SECRET]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX332J",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 9900.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 1000.0,
        "Bonus_confidence_score": 95,
        "Allowance": 400.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BRITISH CITIZEN ID\nNO: 992011223\nNAME: BORIS JOHNSON\nDOB: 19/06/1964\nNATIONALITY: BRITISH\n[LOGO: ROYAL COAT OF ARMS]\nEXPIRY: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "992011223",
    "ID_Number_confidence_score": 99,
    "Name": "BORIS JOHNSON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "19/06/1964",
    "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:
"RAFFLES HOSPITAL\nBILL NO: RH-7721\nDATE: 12-FEB-2026\nPATIENT: DAVID BECKHAM\nCONSULTATION: $150.00\nGST: $13.50\nTOTAL: $163.50\nREMARKS: PAID BY CORPORATE CARD.\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 CORPORATE CARD.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TAN TOCK SENG HOSPITAL\nMC SERIAL: TTSH-110\nNAME: VICTORIA BECKHAM\nNRIC: SXXXX221D\nUNFIT FROM: 2026-01-10 TO: 2026-01-20\nTYPE: HL\nDR. SMITH (MCR 9912)\n[STAMP: ADMITTED]"

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:
"PRUDENTIAL ASSURANCE\nCLAIM FORM #PRU-112\nINSURED: ZLATAN IBRAHIMOVIC\nCLAIMANT: ZLATAN IBRAHIMOVIC\nDATE: 2025-11-14\nDETAILS: HAMSTRING TEAR DURING TRAINING.\nWORKING DAYS: 6\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ZLATAN IBRAHIMOVIC",
    "Insured_confidence_score": 98,
    "Claimant": "ZLATAN IBRAHIMOVIC",
    "Claimant_confidence_score": 98,
    "Details": "HAMSTRING TEAR DURING 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:
"SPORTS WORLD PTE LTD\nPAYSLIP\nNAME: LIONEL MESSI\nNRIC: SXXXX101A\nPAID DATE: 2025-12-28\nBASIC: 15000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 21000.00\n(cid:12) PRIVATE DATA"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX101A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 21000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 96,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ARGENTINA\nDNI\nID: 35.123.456\nNAME: SERGIO AGUERO\nDOB: 02/06/1988\nNATIONALITY: ARGENTINA\n[LOGO: SOL DE MAYO]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "35.123.456",
    "ID_Number_confidence_score": 99,
    "Name": "SERGIO AGUERO",
    "Name_confidence_score": 99,
    "Date_of_Birth": "02/06/1988",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ARGENTINA",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CITY EYE CENTRE\nINV #EC-991\nDATE: 03-FEB-2026\nPATIENT: NEIL ARMSTRONG\nCATARACT SURGERY: $3500.00\nGST: $315.00\nTOTAL: $3815.00\nREMARKS: POST-OP DROPS PRESCRIBED.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "3815.00",
    "Amt_confidence_score": 99,
    "GST": "315.00",
    "GST_confidence_score": 94,
    "Remarks": "POST-OP DROPS PRESCRIBED.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LUNAR CLINIC\nMC NO: MC-001\nNAME: BUZZ ALDRIN\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: HL\n[ILLEGIBLE SIGNATURE]\nDR. MOON (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:
"SPACE INSURANCE\nCLAIM FORM\nINSURED: YURI GAGARIN\nCLAIMANT: YURI GAGARIN\nDATE: 2025-05-15\nDETAILS: COSMIC RADIATION EXPOSURE DURING FLIGHT.\nWORKING DAYS: 7\n[STAMP: CLASSIFIED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "YURI GAGARIN",
    "Insured_confidence_score": 96,
    "Claimant": "YURI GAGARIN",
    "Claimant_confidence_score": 96,
    "Details": "COSMIC RADIATION EXPOSURE DURING FLIGHT.",
    "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:
"ASTRONAUT CORP\nPAYSLIP\nNAME: JOHN GLENN\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 11000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 11500.00\n[FOOTER: MISSION READY]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX992M",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 11500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"FEDERAL REPUBLIC OF BRAZIL\nCARTEIRA DE IDENTIDADE\nID: 12.345.678-9\nNAME: PELE ARANTES\nDOB: 23-10-1940\nNATIONALITY: BRASILEIRA\n[LOGO: REPUBLIC SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "12.345.678-9",
    "ID_Number_confidence_score": 99,
    "Name": "PELE ARANTES",
    "Name_confidence_score": 99,
    "Date_of_Birth": "23-10-1940",
    "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:
"PARKWAY CLINIC\nBILL: PK-882\nDATE: 12/JAN/2026\nPATIENT: ELON MUSK\nCONSULTATION: $80.00\nGST: $7.20\nTOTAL: $87.20\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": "87.20",
    "Amt_confidence_score": 99,
    "GST": "7.20",
    "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:
"TESLA HEALTH\nMC SERIAL: TS-001\nNAME: GRIMES BOUCHER\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\nDR. X (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:
"X INSURANCE\nCLAIM FORM\nINSURED: JACK DORSEY\nCLAIMANT: JACK DORSEY\nDATE: 2025-06-14\nDETAILS: FINGER SPRAIN DURING INTENSE TYPING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JACK DORSEY",
    "Insured_confidence_score": 96,
    "Claimant": "JACK DORSEY",
    "Claimant_confidence_score": 96,
    "Details": "FINGER SPRAIN DURING INTENSE TYPING.",
    "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:
"SOCIAL MEDIA CORP\nPAYSLIP\nNAME: MARK ZUCKERBERG\nNRIC: SXXXX112K\nPAID DATE: 2025-11-30\nBASIC: 1\nBONUS: 0\nALLOWANCE: 0\nGROSS: 1.00\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": 1.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 0.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF CHILE\nRUN\nID: 12.345.678-K\nNAME: PABLO NERUDA\nDOB: 12-07-1904\nNATIONALITY: CHILENA\n[LOGO: ESCUDO NACIONAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "12.345.678-K",
    "ID_Number_confidence_score": 99,
    "Name": "PABLO NERUDA",
    "Name_confidence_score": 98,
    "Date_of_Birth": "12-07-1904",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "CHILENA",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CITY CLINIC\nBILL: CC-102\nDATE: 12/JAN/2026\nPATIENT: STEPHEN HAWKING\nCONSULTATION: $60.00\nGST: $5.40\nTOTAL: $65.40\nREMARKS: PAID BY WHEELCHAIR FUND.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "65.40",
    "Amt_confidence_score": 99,
    "GST": "5.40",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY WHEELCHAIR FUND.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CAMBRIDGE HEALTH\nMC SERIAL: CH-552\nNAME: ISAAC NEWTON\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: HL\n[ILLEGIBLE SIGNATURE]\nDR. APPLE (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:
"GRAVITY INSURANCE\nCLAIM FORM\nINSURED: ALBERT EINSTEIN\nCLAIMANT: ALBERT EINSTEIN\nDATE: 2025-08-22\nDETAILS: RELATIVE SPRAIN DURING THOUGHT EXPERIMENT.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ALBERT EINSTEIN",
    "Insured_confidence_score": 97,
    "Claimant": "ALBERT EINSTEIN",
    "Claimant_confidence_score": 97,
    "Details": "RELATIVE SPRAIN DURING THOUGHT EXPERIMENT.",
    "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:
"PRINCETON UNIV\nPAYSLIP\nNAME: NIELS BOHR\nNRIC: SXXXX007Z\nPAID DATE: 2025-10-31\nBASIC: 12000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 12500.00\n[FOOTER: ATOMIC ACCURACY]"

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 AUSTRIA\nPERSONALAUSWEIS\nID: 12345678\nNAME: SIGMUND FREUD\nDOB: 06/05/1856\nNATIONALITY: OSTERREICHISCH\n[LOGO: BUNDESADLER]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "12345678",
    "ID_Number_confidence_score": 99,
    "Name": "SIGMUND FREUD",
    "Name_confidence_score": 99,
    "Date_of_Birth": "06/05/1856",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "OSTERREICHISCH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BARTLEY SKIN & LASER\nINV: BSL-902\nDATE: 04-JAN-2026\nPATIENT: KYLIE JENNER\n---------------------------\nFACIAL TREATMENT: $250.00\nPRODUCT: $85.00\nGST 9%: $30.15\nTOTAL: $365.15\nREMARKS: PAID BY AMEX.\n[STAMP: NO REFUND]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "04-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "365.15",
    "Amt_confidence_score": 99,
    "GST": "30.15",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY AMEX.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SIM NEUROLOGY\nMC SERIAL: SN-1102\nNAME: TRAVIS SCOTT\nNRIC: SXXXX443G\nUNFIT FROM: 2026-01-10 TO: 2026-01-11\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\nDR. SIM (MCR 9912)\n(cid:10) REST ADVIZED"

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:
"AIG BUSINESS TRAVEL\nCLAIM FORM #BT-882\nINSURED: KOURTNEY KARDASHIAN\nCLAIMANT: KOURTNEY KARDASHIAN\nDATE: 20/12/2025\nDETAILS: ANKLE TWISTED AT AIRPORT TERMINAL.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "KOURTNEY KARDASHIAN",
    "Insured_confidence_score": 97,
    "Claimant": "KOURTNEY KARDASHIAN",
    "Claimant_confidence_score": 97,
    "Details": "ANKLE TWISTED AT AIRPORT TERMINAL.",
    "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:
"DASH PRODUCTIONS PTE LTD\nPAYSLIP JAN 2026\nNAME: KHLOE KARDASHIAN\nNRIC: SXXXX552J\nPAID DATE: 2026-01-25\nBASIC: 9000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 11500.00\n[FOOTER: CONFIDENTIAL]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX552J",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 11500.0,
        "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:
"MEXICAN IDENTITY CARD\nINE NO: 0022334455\nNAME: CANELO ALVAREZ\nDOB: 18/07/1990\nNATIONALITY: MEXICANA\n[LOGO: EAGLE ON CACTUS]\nEXPIRY: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "0022334455",
    "ID_Number_confidence_score": 99,
    "Name": "CANELO ALVAREZ",
    "Name_confidence_score": 99,
    "Date_of_Birth": "18/07/1990",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "MEXICANA",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PULSE MEDICAL HUB\nINV: PMH-772\nDATE: 12-FEB-2026\nPATIENT: TYSON FURY\nCONSULTATION: $120.00\nGST: $10.80\nTOTAL: $130.80\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": "130.80",
    "Amt_confidence_score": 99,
    "GST": "10.80",
    "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:
"BOXING HEALTH CENTRE\nMC SERIAL: BH-110\nNAME: ANTHONY JOSHUA\nNRIC: SXXXX221D\nUNFIT FROM: 2026-01-10 TO: 2026-01-15\nTYPE: HL\nDR. GLOVER (MCR 9912)\n[STAMP: MEDICAL 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": "2026-01-15",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MSIG SPORTS COVER\nCLAIM FORM #MS-112\nINSURED: CONOR MCGREGOR\nCLAIMANT: CONOR MCGREGOR\nDATE: 2025-11-14\nDETAILS: SHIN FRACTURE DURING SPARRING SESSION.\nWORKING DAYS: 6\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CONOR MCGREGOR",
    "Insured_confidence_score": 98,
    "Claimant": "CONOR MCGREGOR",
    "Claimant_confidence_score": 98,
    "Details": "SHIN FRACTURE DURING SPARRING SESSION.",
    "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:
"UFC MANAGEMENT PTE LTD\nPAYSLIP\nNAME: DANA WHITE\nNRIC: SXXXX101A\nPAID DATE: 2025-12-28\nBASIC: 25000\nBONUS: 10000\nALLOWANCE: 2000\nGROSS: 37000.00\n(cid:12) EXECUTIVE PAY"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX101A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 37000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 96,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF IRELAND\nID CARD\nID: IE-35123456\nNAME: KATIE TAYLOR\nDOB: 02/07/1986\nNATIONALITY: IRISH\n[LOGO: HARP SYMBOL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IE-35123456",
    "ID_Number_confidence_score": 99,
    "Name": "KATIE TAYLOR",
    "Name_confidence_score": 99,
    "Date_of_Birth": "02/07/1986",
    "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:
"HEART & LUNG SPECIALIST\nINV #HL-991\nDATE: 03-FEB-2026\nPATIENT: LEWIS HAMILTON\nECG TEST: $450.00\nGST: $40.50\nTOTAL: $490.50\nREMARKS: STRESS TEST COMPLETED.\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": "STRESS TEST COMPLETED.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. RACING CLINIC\nMC NO: MC-F1\nNAME: MAX VERSTAPPEN\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: HL\n[ILLEGIBLE SIGNATURE]\nDR. RED (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:
"F1 GLOBAL INSURANCE\nCLAIM FORM\nINSURED: CHARLES LECLERC\nCLAIMANT: CHARLES LECLERC\nDATE: 2025-05-15\nDETAILS: WHIPLASH SUSTAINED DURING CRASH AT TURN 4.\nWORKING DAYS: 7\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "CHARLES LECLERC",
    "Insured_confidence_score": 96,
    "Claimant": "CHARLES LECLERC",
    "Claimant_confidence_score": 96,
    "Details": "WHIPLASH SUSTAINED DURING CRASH AT TURN 4.",
    "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:
"MERCEDES RACING LTD\nPAYSLIP\nNAME: GEORGE RUSSELL\nNRIC: SXXXX992M\nPAID DATE: 2025-11-30\nBASIC: 15000\nBONUS: 2000\nALLOWANCE: 500\nGROSS: 17500.00\n[FOOTER: PERFORMANCE BONUS INCL]"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF MONACO\nRESIDENCE CARD\nID: MC-1234567\nNAME: SERGIO PEREZ\nDOB: 26-01-1990\nNATIONALITY: MEXICANA\n[LOGO: CROWN SEAL]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "MC-1234567",
    "ID_Number_confidence_score": 99,
    "Name": "SERGIO PEREZ",
    "Name_confidence_score": 99,
    "Date_of_Birth": "26-01-1990",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "MEXICANA",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CITY DERMA CARE\nBILL: CDC-882\nDATE: 12/JAN/2026\nPATIENT: KYLIE MINOGUE\nCONSULTATION: $100.00\nGST: $9.00\nTOTAL: $109.00\nREMARKS: PAID BY CASH.\nPAGE 1"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"POP STAR CLINIC\nMC SERIAL: PS-001\nNAME: SIA FURLER\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: OL\n[ILLEGIBLE SIGNATURE]\nDR. WIG (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:
"MUSIC INSURANCE\nCLAIM FORM\nINSURED: ED SHEERAN\nCLAIMANT: ED SHEERAN\nDATE: 2025-06-14\nDETAILS: FINGER SPRAIN DURING GUITAR SOLO.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ED SHEERAN",
    "Insured_confidence_score": 96,
    "Claimant": "ED SHEERAN",
    "Claimant_confidence_score": 96,
    "Details": "FINGER SPRAIN DURING GUITAR SOLO.",
    "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:
"RECORDS LTD\nPAYSLIP\nNAME: TAYLOR SWIFT\nNRIC: SXXXX112K\nPAID DATE: 2025-11-30\nBASIC: 50000\nBONUS: 10000\nALLOWANCE: 5000\nGROSS: 65000.00\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": 65000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 10000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF COLOMBIA\nCEDULA\nID: 1.234.567.890\nNAME: SHAKIRA MEBARAK\nDOB: 02-02-1977\nNATIONALITY: COLOMBIANA\n[LOGO: COAT OF ARMS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "1.234.567.890",
    "ID_Number_confidence_score": 99,
    "Name": "SHAKIRA MEBARAK",
    "Name_confidence_score": 98,
    "Date_of_Birth": "02-02-1977",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "COLOMBIANA",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"CITY CLINIC\nBILL: CC-102\nDATE: 12/JAN/2026\nPATIENT: BILLIE EILISH\nCONSULTATION: $80.00\nGST: $7.20\nTOTAL: $87.20\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": "87.20",
    "Amt_confidence_score": 99,
    "GST": "7.20",
    "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:
"DREAM HEALTH\nMC SERIAL: DH-552\nNAME: DUA LIPA\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: HL\n[ILLEGIBLE SIGNATURE]\nDR. NOSTRALGIA (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:
"WORLD TOUR INSURANCE\nCLAIM FORM\nINSURED: JUSTIN BIEBER\nCLAIMANT: JUSTIN BIEBER\nDATE: 2025-08-22\nDETAILS: KNEE SPRAIN DURING DANCE REHEARSAL.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JUSTIN BIEBER",
    "Insured_confidence_score": 97,
    "Claimant": "JUSTIN BIEBER",
    "Claimant_confidence_score": 97,
    "Details": "KNEE SPRAIN DURING DANCE REHEARSAL.",
    "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:
"GLOBAL TALENT PTE LTD\nPAYSLIP\nNAME: ARIANA GRANDE\nNRIC: SXXXX007Z\nPAID DATE: 2025-10-31\nBASIC: 30000\nBONUS: 5000\nALLOWANCE: 1000\nGROSS: 36000.00\n[FOOTER: THANK U, NEXT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX007Z",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 36000.0,
        "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:
"KINGDOM OF SPAIN\nDNI\nID: 12345678-S\nNAME: ROSALIA VILA\nDOB: 25/09/1992\nNATIONALITY: ESPANOLA\n[LOGO: ESCUDO DE ESPANA]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "12345678-S",
    "ID_Number_confidence_score": 99,
    "Name": "ROSALIA VILA",
    "Name_confidence_score": 99,
    "Date_of_Birth": "25/09/1992",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ESPANOLA",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PUNGGOL WEST MEDICAL\nRECEIPT #PW-8812\nDATE: 05-JAN-2026\nPATIENT: TOM HIDDLESTON\n[LOGO: PWM]\nCONSULTATION: $42.00\nGST 9%: $3.78\nTOTAL: $45.78\nREMARKS: PATIENT PAID VIA GRABPAY.\nPAGE 01"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "05-JAN-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "45.78",
    "Amt_confidence_score": 99,
    "GST": "3.78",
    "GST_confidence_score": 94,
    "Remarks": "PATIENT PAID VIA GRABPAY.",
    "Remarks_confidence_score": 87
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KHOO TECK PUAT HOSP\nMC NO: 2026-MC-1102\nMR. BENEDICT CUMBERBATCH (SXXXX112D)\nIS UNFIT FOR DUTY FROM 2026-01-16 TO 2026-01-20\n(TOTAL 05 DAYS)\n[STAMP: MEDICAL CLINIC]\nDR. STRANGE (MCR: 88120)\n------------------"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AVIVA WORKERS COMP\nCLAIMANT: ELIZABETH DEBICKI\nINSURED: ELIZABETH DEBICKI\nACCIDENT DATE: 10/11/2025\nDETAILS: TRIPPED OVER CABLE IN STUDIO. ANKLE SPRAIN.\nWORK DAYS/WK: 6\nREF: AV-00992\n[SCANNER MARKS: //////]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ELIZABETH DEBICKI",
    "Insured_confidence_score": 97,
    "Claimant": "ELIZABETH DEBICKI",
    "Claimant_confidence_score": 97,
    "Details": "TRIPPED OVER CABLE IN STUDIO. ANKLE SPRAIN.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "10/11/2025",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 6,
    "Working_days_per_week_confidence_score": 85
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MULTIVERSE MEDIA PTE LTD\nPAYSLIP\nNAME: OWEN WILSON\nNRIC: SXXXX554P\nPAID: 2026-01-05\nBASIC: 5500\nBONUS: 500\nALLOWANCE: 200\nGROSS: 6200.00\n[FOOTER: CONFIDENTIAL DOCUMENT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-05",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX554P",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 6200.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 500.0,
        "Bonus_confidence_score": 88,
        "Allowance": 200.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}