Extract structured data from any invoice or resume. Get vendor info, amounts, dates, skills, experience — all as clean JSON. Auto-detects English, German & Turkish.
Upload a PDF, get structured data. It's that simple.
Extract vendor, amounts, dates & line items
{
"vendor_name": "ACME Corp",
"invoice_number": "INV-2024-001",
"invoice_date": "January 15, 2024",
"total_amount": 2200.00,
"tax_amount": 200.00,
"currency": "USD",
"confidence": 0.95
}Extract contact, skills, experience & education
{
"full_name": "John Doe",
"email": "john@email.com",
"skills": ["Python", "AWS", "Docker"],
"work_experience": [...],
"education": [...],
"confidence": 0.90
}Parse any invoice with a single request
# Parse an invoice - language auto-detected!
curl -X POST "https://api.pdfpull.com/v1/parse/invoice" \
-H "X-API-Key: your_api_key" \
-F "file=@invoice.pdf"
# Response
{
"vendor_name": "ACME Corporation",
"invoice_number": "INV-2024-00123",
"invoice_date": "January 15, 2024",
"total_amount": 2200.00,
"currency": "USD",
"confidence": 0.95
}What developers are building with pdfpull
Auto-extract vendor, amount, date from receipts & invoices. Automate expense reports.
Parse resumes at scale. Extract skills, experience, contact info for ATS systems.
Process supplier invoices automatically. Extract line items, tax, totals.
Everything you need for PDF extraction
Extract all text with page selection
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Get embedded images with metadata
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Word count, page count, metadata
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Rule-based extraction. No GPT API fees. Predictable pricing.
No config needed. We detect EN, DE, TR automatically.
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