Back to BlogExtract structured data from PDFs, invoices, receipts, and forms with a single API call. No templates, no training data — just send a document and get clean JSON back.

New Product

Extract Data from Any Document

Send a PDF, invoice, receipt, or form to one API endpoint. Get structured JSON back. No templates, no training data, no configuration files.

Try Parse Free

Response

{
  "invoice_number": "INV-2026-0142",
  "date": "2026-02-28",
  "vendor": "Acme Corp",
  "line_items": [
    {"description": "Widget A", "qty": 10},
    {"description": "Widget B", "qty": 5}
  ],
  "total": 549.85
}

The Problem with PDF Data Extraction

After running Conversion Tools for 8+ years and processing millions of files, we kept hearing the same request from developers: "I don't just need to convert this PDF — I need to extract data from it."

Getting structured data out of documents is painful. OCR alone gives you raw text. Regex breaks on every new layout. Template-based tools require manual setup for each document type and break when the format changes.

Parse solves this with AI that understands document structure. Upload any PDF, invoice, receipt, or scanned document and get clean, typed JSON back — no templates, no training data, no configuration.

How Document Data Extraction Works

1. Upload

Send any PDF, image, or scanned document to one API endpoint.

2. Extract

AI reads and understands the document structure, pulling out every data point.

3. Receive JSON

Get structured data back as clean JSON, ready for your database or pipeline.

Define Extraction Schemas for Consistent Output

Need specific fields? Define a schema to tell Parse exactly what data you need. The same schema works across different document layouts — so if you process invoices from 50 different vendors, you define your schema once and it adapts.

curl -X POST https://api-parse.conversiontools.io/v1/parse/extract \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@invoice.pdf" \
  -F 'schema={
    "fields": [
      {"name": "invoice_number", "type": "string"},
      {"name": "vendor", "type": "string"},
      {"name": "total", "type": "number"},
      {"name": "line_items", "type": "array", "items": {
        "type": "object",
        "fields": [
          {"name": "description", "type": "string"},
          {"name": "quantity", "type": "number"},
          {"name": "price", "type": "number"}
        ]
      }}
    ]
  }'

Schemas support nested objects, arrays, and typed fields — so your output is always consistent and ready for your database.

Use Cases: Invoice, Receipt, and Document Parsing

Invoices & Billing

Automate AP workflows. Extract line items, totals, vendor details, due dates.

Receipts & Expenses

Digitize expense reports. Capture store name, items, tax, totals.

Forms & Applications

Process intake forms, applications, and government documents.

Contracts & Legal

Extract clauses, dates, parties, and key terms from legal documents.

Document Security and Data Privacy

Documents encrypted in transit and at rest
Automatically deleted within 24 hours after processing
We never train on your data

Document Extraction API Pricing

Free

100 pages per month. No credit card required.

Pro

$99/month

2,500 pages per month. Priority processing.

Related: AI-Powered File Converters

Parse focuses on structured data extraction. If you need full file conversion instead, Conversion Tools offers AI-powered converters for common document workflows: