Check OCR & Data Extraction API

Extract check number, date, amount, and payee (best-effort) from scanned or photographed checks.

Automatically extract structured data from business and personal checks. Designed for banks, lenders, fintech platforms, and accounting systems.

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Quick start (check extraction)

Use the same flow as the Bank Statement OCR API: upload a document (check image or PDF), create a job with enableBankMode: true, wait for completion, then export. Check data is included when the document contains check images.

bash
# 1. Upload a check image or PDF containing checks
curl -X POST "https://www.docuclipper.com/api/v1/protected/document" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "document=@check.pdf"

# 2. Create a bank job (check data is extracted when the document contains check images)
# Use the document ID from step 1. Set enableBankMode: true.
# For check-only documents, set subType: "checkImages" to enable check-image mode.
curl -X POST "https://www.docuclipper.com/api/v1/protected/job" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"jobName":"","documents":["DOCUMENT_ID"],"enableBankMode":true,"subType":"checkImages"}'

# 3. Poll GET /protected/job/JOB_ID until status === "Succeeded" (or use webhooks)

# 4. Export with jobType: "FieldsToExcel1", format: "json"
# Check data appears in the export (check images embedded in statements are extracted automatically)

Minimal: upload a check image.

bash
# Upload check image, then create job and export (same flow as Bank Statement OCR)
curl -X POST "https://www.docuclipper.com/api/v1/protected/document" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "document=@check.jpg"

Response shape

json
// Export response (200) includes check transactions when the document contains checks:
// Keyed by documentId → account. In check-only mode, account is typically "checks".
{
  "<documentId>": {
    "<account>": {
      "bankMode": {
        "transactions": [
          {
            "date": "2024-01-15",
            "amount": -1250.00,
            "checkNumber": "1001",
            "memo": ["check: 1001", "memo: ...", "payee: ACME Corp"],
            "sectionType": "checks",
            "accountName": "checks"
          }
        ]
      }
    }
  }
}

Full example (no SDK)

Same flow as Bank Statement OCR: upload → create job (enableBankMode: true) → poll → export. Check data appears in the export when the document contains check images.

javascript
const fs = require('fs');
const BASE = 'https://www.docuclipper.com/api/v1';
const API_KEY = process.env.DOCUCLIPPER_API_KEY;
const auth = (h = {}) => ({ Authorization: `Bearer ${API_KEY}`, ...h });

const form = new FormData();
form.append('document', new Blob([fs.readFileSync('check.pdf')]), 'check.pdf');
const up = await fetch(`${BASE}/protected/document`, { method: 'POST', headers: auth(), body: form });
const docId = (await up.json()).document.id;

const job = await fetch(`${BASE}/protected/job`, {
  method: 'POST', headers: auth({ 'Content-Type': 'application/json' }),
  body: JSON.stringify({ jobName: '', documents: [docId], enableBankMode: true })
});
const jobId = (await job.json()).id;

let status;
while ((status = (await fetch(`${BASE}/protected/job/${jobId}`, { headers: auth() }).then(r => r.json())).status) !== 'Succeeded') {
  if (status === 'Failed') throw new Error('Job failed');
  await new Promise(r => setTimeout(r, 2000));
}

const exp = await fetch(`${BASE}/protected/job/${jobId}/export`, {
  method: 'POST', headers: auth({ 'Content-Type': 'application/json' }),
  body: JSON.stringify({ jobType: 'FieldsToExcel1', flattenTables: true, format: 'json' })
});
const data = await exp.json();
console.log(data);

Use cases

  • Remote deposit capture and check processing
  • Loan and mortgage verification
  • Accounting and bookkeeping automation
  • Fintech and banking back-office workflows
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