Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"RZECZPOSPOLITA POLSKA\nDOWÓD OSOBISTY\nID: ABC 925511\nNAME: ROBERT LEWANDOWSKI\nDOB: 21/08/1988\nNATIONALITY: POLSKIE\n[LOGO: WHITE EAGLE]\nEXPIRY: 2031"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "ABC 925511",
    "ID_Number_confidence_score": 99,
    "Name": "ROBERT LEWANDOWSKI",
    "Name_confidence_score": 99,
    "Date_of_Birth": "21/08/1988",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "POLSKIE",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ISTANBUL ACIBADEM\nINV: IA-931\nDATE: 14 FEB 2026\nPATIENT: KEREM BÜRSIN\nCONSULTATION: 2500 TRY\nTAX 10%: 250 TRY\nTOTAL: 2750 TRY\nREMARKS: PAID BY CREDIT CARD.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "2750",
    "Amt_confidence_score": 99,
    "GST": "250",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CREDIT CARD.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ÖZ CLINIC\nMC SERIAL: MC-TR\nNAME: HANDE ERÇEL\nNRIC: SXXXX932H\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. YILMAZ (MCR 6612)\n[STAMP: ANKARA]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ALLIANZ TURKIYE\nCLAIM FORM #AT-933\nINSURED: ARAS BULUT İYNEMLİ\nCLAIMANT: ARAS BULUT İYNEMLİ\nDATE: 2025-11-14\nDETAILS: BACK STRAIN FROM HORSE RIDING.\nWORKING DAYS: 5\n[STAMP: ONAYLANDI]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ARAS BULUT \u0130YNEML\u0130",
    "Insured_confidence_score": 98,
    "Claimant": "ARAS BULUT \u0130YNEML\u0130",
    "Claimant_confidence_score": 98,
    "Details": "BACK STRAIN FROM HORSE RIDING.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"AY YAPIM ASIA\nPAYSLIP\nNAME: NESLIHAN ATAGÜL\nNRIC: SXXXX934N\nPAID DATE: 2025-12-28\nBASIC: 45000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 50000.00\n(cid:12) LEAD ACTRESS"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX934N",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 50000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TÜRKİYE CUMHURİYETİ\nKİMLİK KARTI\nID: 10293847561\nNAME: KEREM BÜRSIN\nDOB: 04/06/1987\nNATIONALITY: T.C.\n[LOGO: CRESCENT AND STAR]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "10293847561",
    "ID_Number_confidence_score": 99,
    "Name": "KEREM B\u00dcRSIN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "04/06/1987",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "T.C.",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"PRAGUE GENERAL HOSPITAL\nINV #PGH-936\nDATE: 03-FEB-2026\nPATIENT: MADS MIKKELSEN\nCONSULTATION: 2000 CZK\nVAT 15%: 300 CZK\nTOTAL: 2300 CZK\nREMARKS: PAID BY VISA.\n[STAMP: ZAPLACENO]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "2300",
    "Amt_confidence_score": 99,
    "GST": "300",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY VISA.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. DVORAK CLINIC\nMC NO: MC-937\nNAME: KAREL RODEN\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. SVOBODA (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:
"CZECH INSURANCE\nCLAIM FORM\nINSURED: IVANA CHÝLKOVÁ\nCLAIMANT: IVANA CHÝLKOVÁ\nDATE: 2025-05-15\nDETAILS: KNEE INJURY FROM FALL ON STAIRS.\nWORKING DAYS: 5\n[STAMP: URGENTNÍ]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "IVANA CH\u00ddLKOV\u00c1",
    "Insured_confidence_score": 96,
    "Claimant": "IVANA CH\u00ddLKOV\u00c1",
    "Claimant_confidence_score": 96,
    "Details": "KNEE INJURY FROM FALL ON STAIRS.",
    "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:
"BARRANDOV STUDIOS\nPAYSLIP\nNAME: JANA PLODKOVÁ\nNRIC: SXXXX939J\nPAID DATE: 2025-11-30\nBASIC: 30000\nBONUS: 5000\nALLOWANCE: 2000\nGROSS: 37000.00\n[FOOTER: PRAGUE HUB]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX939J",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 37000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ČESKÁ REPUBLIKA\nOBČANSKÝ PRŮKAZ\nID: CZ-940511\nNAME: KAREL RODEN\nDOB: 18-05-1962\nNATIONALITY: ČESKÁ\n[LOGO: DOUBLE-TAILED LION]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CZ-940511",
    "ID_Number_confidence_score": 99,
    "Name": "KAREL RODEN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "18-05-1962",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "\u010cESK\u00c1",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BUDAPEST CLINIC\nBILL: BC-941\nDATE: 12/JAN/2026\nPATIENT: BÉLA TARR\nCONSULTATION: 20000 HUF\nVAT: 5400 HUF\nTOTAL: 25400 HUF\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": "25400",
    "Amt_confidence_score": 99,
    "GST": "5400",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CASH.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. NAGY CLINIC\nMC SERIAL: MC-942\nNAME: ALEXANDRA BORBÉLY\nNRIC: SXXXX942A\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. HORVATH (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:
"HUNGARY INSURANCE\nCLAIM FORM\nINSURED: GÉZA RÖHRIG\nCLAIMANT: GÉZA RÖHRIG\nDATE: 2025-06-14\nDETAILS: EYE INFLAMMATION FROM STAGE MAKEUP.\nWORKING DAYS: 5\n[STAMP: JÓVÁHAGYVA]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "G\u00c9ZA R\u00d6HRIG",
    "Insured_confidence_score": 96,
    "Claimant": "G\u00c9ZA R\u00d6HRIG",
    "Claimant_confidence_score": 96,
    "Details": "EYE INFLAMMATION FROM STAGE MAKEUP.",
    "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:
"MAGYAR FILMS\nPAYSLIP\nNAME: ILDIKÓ ENYEDI\nNRIC: SXXXX944I\nPAID DATE: 2025-11-30\nBASIC: 400000\nBONUS: 0\nALLOWANCE: 50000\nGROSS: 450000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX944I",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 450000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 50000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MAGYARORSZÁG\nSZEMÉLYI IGAZOLVÁNY\nID: HU-945511\nNAME: BÉLA TARR\nDOB: 21-07-1955\nNATIONALITY: MAGYAR\n[LOGO: HUNGARIAN CREST]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "HU-945511",
    "ID_Number_confidence_score": 99,
    "Name": "B\u00c9LA TARR",
    "Name_confidence_score": 98,
    "Date_of_Birth": "21-07-1955",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "MAGYAR",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"BUCHAREST MEDICAL\nBILL: BM-946\nDATE: 12/JAN/2026\nPATIENT: SEBASTIAN STAN\nCONSULTATION: 500 RON\nVAT: 95 RON\nTOTAL: 595 RON\nREMARKS: PAID BY VISA CONTACTLESS.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "595",
    "Amt_confidence_score": 99,
    "GST": "95",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA CONTACTLESS.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. POPESCU CLINIC\nMC SERIAL: MC-947\nNAME: ANAMARIA MARINCA\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. IONESCU (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:
"ROMANIA INSURANCE\nCLAIM FORM\nINSURED: COSMINA STRATAN\nCLAIMANT: COSMINA STRATAN\nDATE: 2025-08-22\nDETAILS: SHOULDER STRAIN DURING REHEARSAL.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "COSMINA STRATAN",
    "Insured_confidence_score": 97,
    "Claimant": "COSMINA STRATAN",
    "Claimant_confidence_score": 97,
    "Details": "SHOULDER STRAIN DURING 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:
"CASTLE FILM STUDIOS\nPAYSLIP\nNAME: VLAD IVANOV\nNRIC: SXXXX949V\nPAID DATE: 2025-10-31\nBASIC: 10000\nBONUS: 2000\nALLOWANCE: 1000\nGROSS: 13000.00\n[FOOTER: ACTOR DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX949V",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 13000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 2000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ROMANIA\nCARTE DE IDENTITATE\nID: RO-950111\nNAME: SEBASTIAN STAN\nDOB: 13/08/1982\nNATIONALITY: ROMÂNĂ\n[LOGO: ROMANIAN EAGLE]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "RO-950111",
    "ID_Number_confidence_score": 99,
    "Name": "SEBASTIAN STAN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "13/08/1982",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ROM\u00c2N\u0102",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ATHENS MEDICAL CENTER\nINV: AMC-951\nDATE: 16 JAN 2026\nPATIENT: YORGOS LANTHIMOS\n---------------------------\nCONSULTATION: 150 EUR\nLAB TESTS: 250 EUR\nVAT 24%: 96 EUR\nTOTAL AMOUNT: 496 EUR\nREMARKS: PAID BY VISA.\n[STAMP: ΕΞΟΦΛΗΘΗ]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "496",
    "Amt_confidence_score": 99,
    "GST": "96",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. PAPADOPULOS CLINIC\nMC NO: GR-952\nNAME: ARIANE LABED\nNRIC: SXXXX952A\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: MEDICAL OFFICE]\nDR. GEORGIOU (MCR 4412)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-18",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-20",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"ETHNIKI ASVALISTIKI\nCLAIM FORM #EA-953\nINSURED: VICKY KRIEPS\nCLAIMANT: VICKY KRIEPS\nDATE: 12/11/2025\nDETAILS: ANKLE SPRAIN DURING FILMING IN HYDRA.\nWORKING DAYS: 5\n[STAMP: ΕΓΚΡΙΘΗΚΕ]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "VICKY KRIEPS",
    "Insured_confidence_score": 97,
    "Claimant": "VICKY KRIEPS",
    "Claimant_confidence_score": 97,
    "Details": "ANKLE SPRAIN DURING FILMING IN HYDRA.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "12/11/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GREEK FILM CENTRE\nPAYSLIP\nNAME: EFTHIMIS FILIPPOU\nNRIC: SXXXX954E\nPAID DATE: 2026-01-25\nBASIC: 5000\nBONUS: 1000\nALLOWANCE: 500\nGROSS: 6500.00\n[FOOTER: ATHENS HQ]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX954E",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 6500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 1000.0,
        "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:
"HELLENIC REPUBLIC\nID CARD\nID: ΑΒ 955511\nNAME: YORGOS LANTHIMOS\nDOB: 27/05/1973\nNATIONALITY: ΕΛΛΗΝΙΚΗ\n[LOGO: GREEK CREST]\nEXPIRY: 2036"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "\u0391\u0392 955511",
    "ID_Number_confidence_score": 99,
    "Name": "YORGOS LANTHIMOS",
    "Name_confidence_score": 99,
    "Date_of_Birth": "27/05/1973",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "\u0395\u039b\u039b\u0397\u039d\u0399\u039a\u0397",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"TEL AVIV SOURASKY\nINV: TAS-956\nDATE: 14 FEB 2026\nPATIENT: GAL GADOT\nCONSULTATION: 800 ILS\nVAT 17%: 136 ILS\nTOTAL: 936 ILS\nREMARKS: PAID BY AMEX.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "936",
    "Amt_confidence_score": 99,
    "GST": "136",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY AMEX.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. COHEN CLINIC\nMC SERIAL: MC-IL\nNAME: LIOR RAZ\nNRIC: SXXXX957L\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. LEVI (MCR 6612)\n[STAMP: MEDICAL DEPT]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HAREL INSURANCE\nCLAIM FORM #HI-958\nINSURED: SHIRA HAAS\nCLAIMANT: SHIRA HAAS\nDATE: 2025-11-14\nDETAILS: VOCAL CORD STRAIN FROM SHOOTING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SHIRA HAAS",
    "Insured_confidence_score": 98,
    "Claimant": "SHIRA HAAS",
    "Claimant_confidence_score": 98,
    "Details": "VOCAL CORD STRAIN FROM SHOOTING.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KESHET MEDIA ASIA\nPAYSLIP\nNAME: NIV SULTAN\nNRIC: SXXXX959N\nPAID DATE: 2025-12-28\nBASIC: 30000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 35000.00\n(cid:12) PRODUCTION STAFF"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX959N",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 35000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"STATE OF ISRAEL\nTEUDAT ZEHUT\nID: 30551122\nNAME: GAL GADOT\nDOB: 30/04/1985\nNATIONALITY: ISRAELI\n[LOGO: MENORAH EMBLEM]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "30551122",
    "ID_Number_confidence_score": 99,
    "Name": "GAL GADOT",
    "Name_confidence_score": 99,
    "Date_of_Birth": "30/04/1985",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ISRAELI",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NICOSIA GENERAL\nINV #NG-961\nDATE: 03-FEB-2026\nPATIENT: HALUK BILGINER\nCONSULTATION: 100 EUR\nVAT: 19 EUR\nTOTAL: 119 EUR\nREMARKS: PAID BY CASH.\n[STAMP: PAID]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "03-FEB-2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "119",
    "Amt_confidence_score": 99,
    "GST": "19",
    "GST_confidence_score": 94,
    "Remarks": "PAID BY CASH.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. CHRISTOU CLINIC\nMC NO: MC-962\nNAME: DAPHNE ALEXANDER\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. SAVVIDES (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:
"CNP ASVALISTIKI\nCLAIM FORM\nINSURED: STELIOS MAINAS\nCLAIMANT: STELIOS MAINAS\nDATE: 2025-05-15\nDETAILS: LOWER BACK PAIN FROM PROLONGED SITTING.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "STELIOS MAINAS",
    "Insured_confidence_score": 96,
    "Claimant": "STELIOS MAINAS",
    "Claimant_confidence_score": 96,
    "Details": "LOWER BACK PAIN FROM PROLONGED SITTING.",
    "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:
"CYPRUS BROADCASTING\nPAYSLIP\nNAME: TONY SCHIENA\nNRIC: SXXXX964T\nPAID DATE: 2025-11-30\nBASIC: 8000\nBONUS: 0\nALLOWANCE: 1000\nGROSS: 9000.00\n[FOOTER: LIMASSOL HUB]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX964T",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 9000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 1000.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF CYPRUS\nID CARD\nID: CY-965511\nNAME: HALUK BILGINER\nDOB: 05-06-1954\nNATIONALITY: CYPRO-TURKISH\n[LOGO: DOVE WITH OLIVE BRANCH]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "CY-965511",
    "ID_Number_confidence_score": 99,
    "Name": "HALUK BILGINER",
    "Name_confidence_score": 99,
    "Date_of_Birth": "05-06-1954",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "CYPRO-TURKISH",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"VALLETTA MEDICAL\nBILL: VM-966\nDATE: 12/JAN/2026\nPATIENT: JOSEPH FAYE\nCONSULTATION: 80 EUR\nVAT: 14 EUR\nTOTAL: 94 EUR\nREMARKS: PAID BY VISA CONTACTLESS.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "94",
    "Amt_confidence_score": 99,
    "GST": "14",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY VISA CONTACTLESS.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ABELA CLINIC\nMC SERIAL: MC-967\nNAME: MARAMA CORLETT\nNRIC: SXXXX967M\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. CAMILLERI (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:
"MALTA INSURANCE\nCLAIM FORM\nINSURED: SHAUN AZZOPARDI\nCLAIMANT: SHAUN AZZOPARDI\nDATE: 2025-06-14\nDETAILS: HEAT EXHAUSTION DURING SUMMER SHOOT.\nWORKING DAYS: 5\n[STAMP: APPROVED]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SHAUN AZZOPARDI",
    "Insured_confidence_score": 96,
    "Claimant": "SHAUN AZZOPARDI",
    "Claimant_confidence_score": 96,
    "Details": "HEAT EXHAUSTION DURING SUMMER SHOOT.",
    "Details_confidence_score": 89,
    "Date_of_Accident": "2025-06-14",
    "Date_of_Accident_confidence_score": 97,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"MEDITERRANEAN FILM\nPAYSLIP\nNAME: PAUL MERCIECA\nNRIC: SXXXX969P\nPAID DATE: 2025-11-30\nBASIC: 7000\nBONUS: 0\nALLOWANCE: 500\nGROSS: 7500.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX969P",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 7500.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 500.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF MALTA\nID CARD\nID: MT-970111\nNAME: JOSEPH FAYE\nDOB: 02-07-1988\nNATIONALITY: MALTESE\n[LOGO: MALTA SHIELD]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "MT-970111",
    "ID_Number_confidence_score": 99,
    "Name": "JOSEPH FAYE",
    "Name_confidence_score": 98,
    "Date_of_Birth": "02-07-1988",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "MALTESE",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REYKJAVIK HOSPITAL\nBILL: RH-971\nDATE: 12/JAN/2026\nPATIENT: OLAFUR DARRI OLAFSSON\nCONSULTATION: 12000 ISK\nVAT: 2880 ISK\nTOTAL: 14880 ISK\nREMARKS: PAID BY DEBIT.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "14880",
    "Amt_confidence_score": 99,
    "GST": "2880",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY DEBIT.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. ARASON CLINIC\nMC SERIAL: MC-972\nNAME: HERA HILMAR\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. SIGURDSSON (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:
"ICELAND HEALTH\nCLAIM FORM\nINSURED: SVERRIR GUDNASON\nCLAIMANT: SVERRIR GUDNASON\nDATE: 2025-08-22\nDETAILS: ELBOW BRUISE FROM STUNT WORK.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "SVERRIR GUDNASON",
    "Insured_confidence_score": 97,
    "Claimant": "SVERRIR GUDNASON",
    "Claimant_confidence_score": 97,
    "Details": "ELBOW BRUISE FROM STUNT WORK.",
    "Details_confidence_score": 90,
    "Date_of_Accident": "2025-08-22",
    "Date_of_Accident_confidence_score": 98,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NORTHERN LIGHTS\nPAYSLIP\nNAME: ANITA BRIEM\nNRIC: SXXXX974A\nPAID DATE: 2025-10-31\nBASIC: 25000\nBONUS: 5000\nALLOWANCE: 2000\nGROSS: 32000.00\n[FOOTER: ICELAND HUB]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX974A",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 32000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF ICELAND\nID CARD\nID: IS-975111\nNAME: OLAFUR DARRI OLAFSSON\nDOB: 13/03/1973\nNATIONALITY: ICELANDIC\n[LOGO: ICELAND EMBLEM]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "IS-975111",
    "ID_Number_confidence_score": 99,
    "Name": "OLAFUR DARRI OLAFSSON",
    "Name_confidence_score": 99,
    "Date_of_Birth": "13/03/1973",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "ICELANDIC",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"OSLO UNIVERSITY HOSPITAL\nINV: OUS-976\nDATE: 16 JAN 2026\nPATIENT: KRISTOFER HIVJU\n---------------------------\nCONSULTATION: 1200 NOK\nDIAGNOSTICS: 1800 NOK\nVAT 25%: 750 NOK\nTOTAL AMOUNT: 3750 NOK\nREMARKS: PAID VIA BANKID.\n[STAMP: BETALT]"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "16 JAN 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "3750",
    "Amt_confidence_score": 99,
    "GST": "750",
    "GST_confidence_score": 95,
    "Remarks": "PAID VIA BANKID.",
    "Remarks_confidence_score": 88
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. LARSEN CLINIC\nMC NO: NO-977\nNAME: INGRID BOLSØ BERDAL\nNRIC: SXXXX977I\nUNFIT FROM: 2026-01-18 TO: 2026-01-20\nTYPE: MC\n[STAMP: LEGEKONTOR]\nDR. HANSEN (MCR 4412)"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "MC",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-18",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-20",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"Gjensidige Forsikring\nCLAIM FORM #GF-978\nINSURED: JAKOB OFTEBRO\nCLAIMANT: JAKOB OFTEBRO\nDATE: 12/11/2025\nDETAILS: SHOULDER DISLOCATION DURING STUNT.\nWORKING DAYS: 5\n[STAMP: GODKJENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JAKOB OFTEBRO",
    "Insured_confidence_score": 97,
    "Claimant": "JAKOB OFTEBRO",
    "Claimant_confidence_score": 97,
    "Details": "SHOULDER DISLOCATION DURING STUNT.",
    "Details_confidence_score": 91,
    "Date_of_Accident": "12/11/2025",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"NORDISK FILM ASIA\nPAYSLIP\nNAME: TOBIAS SANTELMANN\nNRIC: SXXXX979T\nPAID DATE: 2026-01-25\nBASIC: 45000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 50000.00\n[FOOTER: OSLO HUB]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2026-01-25",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX979T",
        "NRIC_confidence_score": 98,
        "Gross_Payable": 50000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 95,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 91
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KINGDOM OF NORWAY\nID CARD\nID: NO-97551122\nNAME: KRISTOFER HIVJU\nDOB: 07/12/1978\nNATIONALITY: NORSK\n[LOGO: NORWEGIAN LION]\nEXPIRY: 2031"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "NO-97551122",
    "ID_Number_confidence_score": 99,
    "Name": "KRISTOFER HIVJU",
    "Name_confidence_score": 99,
    "Date_of_Birth": "07/12/1978",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "NORSK",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HELSINKI UNIVERSITY HOSPITAL\nINV: HUS-981\nDATE: 14 FEB 2026\nPATIENT: PETER FRANZÉN\nCONSULTATION: 200 EUR\nVAT 24%: 48 EUR\nTOTAL: 248 EUR\nREMARKS: PAID BY CREDIT CARD.\nPAGE 1/1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "14 FEB 2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "248",
    "Amt_confidence_score": 99,
    "GST": "48",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY CREDIT CARD.",
    "Remarks_confidence_score": 86
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. VIRTANEN CLINIC\nMC SERIAL: MC-FI\nNAME: ALMA PÖYSTI\nNRIC: SXXXX982A\nUNFIT FROM: 2026-01-10 TO: 2026-01-12\nTYPE: Hospitalization Leave\nDR. KORHONEN (MCR 6612)\n[STAMP: HELSINKI]"

Response:
{
  "doc_type": "medical_certificate",
  "schema": {
    "Type_of_Medical_Leave": "HL",
    "Type_of_Medical_Leave_confidence_score": 99,
    "From_Date": "2026-01-10",
    "From_Date_confidence_score": 98,
    "To_Date": "2026-01-12",
    "To_Date_confidence_score": 98
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"LÄHITAPIOLA\nCLAIM FORM #LT-983\nINSURED: JASPER PÄÄKKÖNEN\nCLAIMANT: JASPER PÄÄKKÖNEN\nDATE: 2025-11-14\nDETAILS: EYE STRAIN FROM DRONE OPERATION.\nWORKING DAYS: 5\n[STAMP: HYVÄKSYTTY]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "JASPER P\u00c4\u00c4KK\u00d6NEN",
    "Insured_confidence_score": 98,
    "Claimant": "JASPER P\u00c4\u00c4KK\u00d6NEN",
    "Claimant_confidence_score": 98,
    "Details": "EYE STRAIN FROM DRONE OPERATION.",
    "Details_confidence_score": 92,
    "Date_of_Accident": "2025-11-14",
    "Date_of_Accident_confidence_score": 99,
    "Working_days_per_week": 5,
    "Working_days_per_week_confidence_score": 95
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"SOLAR FILMS ASIA\nPAYSLIP\nNAME: SAMULI EDELMANN\nNRIC: SXXXX984S\nPAID DATE: 2025-12-28\nBASIC: 35000\nBONUS: 0\nALLOWANCE: 3000\nGROSS: 38000.00\n(cid:12) ARTIST GRADE"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-12-28",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX984S",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 38000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 96,
        "Allowance": 3000.0,
        "Allowance_confidence_score": 94
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"REPUBLIC OF FINLAND\nHENKILÖKORTTI\nID: FI-985511\nNAME: PETER FRANZÉN\nDOB: 14/08/1971\nNATIONALITY: SUOMI\n[LOGO: FINNISH LION EMBLEM]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "FI-985511",
    "ID_Number_confidence_score": 99,
    "Name": "PETER FRANZ\u00c9N",
    "Name_confidence_score": 99,
    "Date_of_Birth": "14/08/1971",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "SUOMI",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"COPENHAGEN RIGSHOSPITALET\nINV #RH-986\nDATE: 03-FEB-2026\nPATIENT: MADS MIKKELSEN\nCONSULTATION: 1500 DKK\nVAT 25%: 375 DKK\nTOTAL: 1875 DKK\nREMARKS: PAID BY DANKORT.\n[STAMP: BETALT]"

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


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. NIELSEN CLINIC\nMC NO: MC-987\nNAME: SIDSE BABETT KNUDSEN\nUNFIT FROM: 2026-01-01\nTO: 2026-01-05\nTYPE: Hospitalization\n[ILLEGIBLE SIGNATURE]\nDR. JENSEN (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:
"TRYG FORSIKRING\nCLAIM FORM\nINSURED: NIKOLAJ COSTER-WALDAU\nCLAIMANT: NIKOLAJ COSTER-WALDAU\nDATE: 2025-05-15\nDETAILS: HAND LACERATION DURING PROP HANDLING.\nWORKING DAYS: 5\n[STAMP: GODKENDT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "NIKOLAJ COSTER-WALDAU",
    "Insured_confidence_score": 96,
    "Claimant": "NIKOLAJ COSTER-WALDAU",
    "Claimant_confidence_score": 96,
    "Details": "HAND LACERATION DURING PROP HANDLING.",
    "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:
"DR PRODUCTIONS\nPAYSLIP\nNAME: PILOU ASBÆK\nNRIC: SXXXX989P\nPAID DATE: 2025-11-30\nBASIC: 40000\nBONUS: 5000\nALLOWANCE: 2000\nGROSS: 47000.00\n[FOOTER: DENMARK HUB]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX989P",
        "NRIC_confidence_score": 97,
        "Gross_Payable": 47000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 5000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 2000.0,
        "Allowance_confidence_score": 90
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KINGDOM OF DENMARK\nID CARD\nID: DK-990511\nNAME: MADS MIKKELSEN\nDOB: 22-11-1965\nNATIONALITY: DANSK\n[LOGO: THREE LIONS]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "DK-990511",
    "ID_Number_confidence_score": 99,
    "Name": "MADS MIKKELSEN",
    "Name_confidence_score": 99,
    "Date_of_Birth": "22-11-1965",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "DANSK",
    "Nationality_confidence_score": 97
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KAROLINSKA HOSPITAL\nBILL: KH-991\nDATE: 12/JAN/2026\nPATIENT: NOOMI RAPACE\nCONSULTATION: 1500 SEK\nVAT: 375 SEK\nTOTAL: 1875 SEK\nREMARKS: PAID BY SWISH.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "1875",
    "Amt_confidence_score": 99,
    "GST": "375",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY SWISH.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. SVENSSON CLINIC\nMC SERIAL: MC-992\nNAME: JOEL KINNAMAN\nNRIC: SXXXX992J\nUNFIT FROM: 2026-02-12\nTO: 2026-02-14\nTYPE: Outpatient\n[ILLEGIBLE SIGNATURE]\nDR. ANDERSSON (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:
"IF INSURANCE SWEDEN\nCLAIM FORM\nINSURED: ALEXANDER SKARSGÅRD\nCLAIMANT: ALEXANDER SKARSGÅRD\nDATE: 2025-06-14\nDETAILS: ELBOW FRACTURE DURING FILMING.\nWORKING DAYS: 5\n[STAMP: GODKÄND]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "ALEXANDER SKARSG\u00c5RD",
    "Insured_confidence_score": 96,
    "Claimant": "ALEXANDER SKARSG\u00c5RD",
    "Claimant_confidence_score": 96,
    "Details": "ELBOW FRACTURE DURING FILMING.",
    "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:
"SF STUDIOS ASIA\nPAYSLIP\nNAME: BILL SKARSGÅRD\nNRIC: SXXXX994B\nPAID DATE: 2025-11-30\nBASIC: 60000\nBONUS: 0\nALLOWANCE: 5000\nGROSS: 65000.00\n------------------"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-11-30",
        "Paid_Date_confidence_score": 98,
        "NRIC": "SXXXX994B",
        "NRIC_confidence_score": 96,
        "Gross_Payable": 65000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 0.0,
        "Bonus_confidence_score": 85,
        "Allowance": 5000.0,
        "Allowance_confidence_score": 88
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"KINGDOM OF SWEDEN\nID CARD\nID: SE-995511\nNAME: NOOMI RAPACE\nDOB: 28-12-1979\nNATIONALITY: SVENSK\n[LOGO: THREE CROWNS EMBLEM]"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "SE-995511",
    "ID_Number_confidence_score": 99,
    "Name": "NOOMI RAPACE",
    "Name_confidence_score": 98,
    "Date_of_Birth": "28-12-1979",
    "Date_of_Birth_confidence_score": 97,
    "Nationality": "SVENSK",
    "Nationality_confidence_score": 94
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"GENERAL HOSPITAL ASIA\nBILL: GHA-996\nDATE: 12/JAN/2026\nPATIENT: MICHELLE YEOH\nCONSULTATION: $300.00\nGST: $27.00\nTOTAL: $327.00\nREMARKS: PAID BY MASTERCARD.\nPAGE 1"

Response:
{
  "doc_type": "medical_bill",
  "schema": {
    "Date_of_Visit": "12/JAN/2026",
    "Date_of_Visit_confidence_score": 98,
    "Amt": "327.00",
    "Amt_confidence_score": 99,
    "GST": "27.00",
    "GST_confidence_score": 95,
    "Remarks": "PAID BY MASTERCARD.",
    "Remarks_confidence_score": 84
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"DR. WONG CLINIC\nMC SERIAL: MC-997\nNAME: TONY LEUNG\nUNFIT FROM: 2026-01-10\nTO: 2026-01-12\nTYPE: Hospitalization Leave\n[ILLEGIBLE SIGNATURE]\nDR. CHAN (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:
"AIA INSURANCE\nCLAIM FORM\nINSURED: MAGGIE CHEUNG\nCLAIMANT: MAGGIE CHEUNG\nDATE: 2025-08-22\nDETAILS: FLU AND HIGH FEVER.\nWORKING DAYS: 5\n[STAMP: URGENT]"

Response:
{
  "doc_type": "claim_form",
  "schema": {
    "Insured": "MAGGIE CHEUNG",
    "Insured_confidence_score": 97,
    "Claimant": "MAGGIE CHEUNG",
    "Claimant_confidence_score": 97,
    "Details": "FLU AND HIGH FEVER.",
    "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:
"SHAW BROTHERS\nPAYSLIP\nNAME: DONNIE YEN\nNRIC: SXXXX999D\nPAID DATE: 2025-10-31\nBASIC: 100000\nBONUS: 50000\nALLOWANCE: 10000\nGROSS: 160000.00\n[FOOTER: ACTION DEPT]"

Response:
{
  "doc_type": "payslip",
  "schema": {
    "payslips": [
      {
        "Paid_Date": "2025-10-31",
        "Paid_Date_confidence_score": 99,
        "NRIC": "SXXXX999D",
        "NRIC_confidence_score": 99,
        "Gross_Payable": 160000.0,
        "Gross_Payable_confidence_score": 99,
        "Bonus": 50000.0,
        "Bonus_confidence_score": 85,
        "Allowance": 10000.0,
        "Allowance_confidence_score": 92
      }
    ]
  }
}


Prompt:
Extract the relevant fields from this OCR text, ignoring any unrelated text or artifacts:
"HONG KONG SPECIAL ADMINISTRATIVE REGION\nIDENTITY CARD\nID: HK-1000111\nNAME: CHOW YUN-FAT\nDOB: 18/05/1955\nNATIONALITY: CHINESE\n[LOGO: BAUHINIA EMBLEM]\nVALID: 2030"

Response:
{
  "doc_type": "national_id",
  "schema": {
    "ID_Number": "HK-1000111",
    "ID_Number_confidence_score": 99,
    "Name": "CHOW YUN-FAT",
    "Name_confidence_score": 99,
    "Date_of_Birth": "18/05/1955",
    "Date_of_Birth_confidence_score": 98,
    "Nationality": "CHINESE",
    "Nationality_confidence_score": 97
  }
}