Use Cases | DocuExtract

Invoice Extraction

Turn invoices into structured line items

Extract vendor name, invoice number, dates, line items with descriptions and amounts, tax, and totals — all with confidence scores. Works with any invoice layout.

📄 Input — invoice_2024.pdfBefore

INVOICE #INV-2024-0847

From: Acme CorpDate: 2024-03-15

To: TechStart Inc.Due: 2024-04-15

Cloud hosting (March)$1,200.00

API access — Pro tier$499.00

Support hours (8h × $150)$1,200.00

Subtotal$2,899.00

Tax (8.5%)$246.42

Total Due$3,145.42

✨ Output — Extracted JSONAfter — 1.2s

{ "vendor": "Acme Corp", "invoice_number": "INV-2024-0847", "date": "2024-03-15", "due_date": "2024-04-15", "line_items": [ { "description": "Cloud hosting (March)", "amount": 1200.00 }, { "description": "API access — Pro tier", "amount": 499.00 }, { "description": "Support hours (8h × $150)", "amount": 1200.00 } ], "subtotal": 2899.00, "tax": 246.42, "total": 3145.42, "confidence": 0.97 }

curl -X POST https://docuextract.dev/v1/extract \
-H "Authorization: Bearer dk_live_..." \
-H "Content-Type: application/json" \
-d '{"document": "https://example.com/invoice.pdf", "type": "invoice"}'

Try invoice extraction in the playground →

Receipt Processing

Parse receipts into expense data

Extract merchant, date, items, tax, tip, and total from any receipt — even crumpled photos. Perfect for expense tracking, bookkeeping automation, and travel reimbursement.

📷 Input — receipt_photo.jpgBefore

BLUE BOTTLE COFFEE

123 Market St, San Francisco CA

Cortado$5.50

Avocado Toast$14.00

Sparkling Water$3.00

Subtotal$22.50

Tax (8.625%)$1.94

Tip$4.50

Total$28.94

03/15/2024 11:42 AM

✨ Output — Extracted JSONAfter — 0.9s

{ "merchant": "Blue Bottle Coffee", "address": "123 Market St, San Francisco CA", "date": "2024-03-15", "time": "11:42", "items": [ { "name": "Cortado", "price": 5.50 }, { "name": "Avocado Toast", "price": 14.00 }, { "name": "Sparkling Water", "price": 3.00 } ], "subtotal": 22.50, "tax": 1.94, "tip": 4.50, "total": 28.94, "confidence": 0.94 }

curl -X POST https://docuextract.dev/v1/extract \
-H "Authorization: Bearer dk_live_..." \
-d '{"document": "<base64_receipt_image>", "type": "receipt"}'

Try receipt extraction in the playground →

Resume Parsing

Convert resumes into candidate profiles

Extract name, contact info, skills, work experience, and education from PDF resumes. Build ATS integrations, talent databases, or hiring automation in minutes.

📄 Input — sarah_chen_resume.pdfBefore

Sarah Chen

sarah@example.com · San Francisco, CA · github.com/schen

Experience

Senior Software Engineer — Stripe (2021–Present)

Led payments infrastructure team. Reduced checkout latency by 40%.

Software Engineer — Vercel (2019–2021)

Built Edge Functions runtime. 12 open-source contributions.

Skills

TypeScript, Go, Python, PostgreSQL, Redis, AWS, Kubernetes

Education

B.S. Computer Science — UC Berkeley (2019)

✨ Output — Extracted JSONAfter — 1.5s

{ "name": "Sarah Chen", "email": "sarah@example.com", "location": "San Francisco, CA", "experience": [ { "title": "Senior Software Engineer", "company": "Stripe", "period": "2021-present", "highlights": ["Led payments infrastructure"] }, { "title": "Software Engineer", "company": "Vercel", "period": "2019-2021" } ], "skills": ["TypeScript", "Go", "Python", "PostgreSQL"], "education": [{ "degree": "B.S. Computer Science", "school": "UC Berkeley", "year": 2019 }], "confidence": 0.95 }

curl -X POST https://docuextract.dev/v1/extract \
-H "Authorization: Bearer dk_live_..." \
-d '{"document": "https://example.com/resume.pdf", "type": "resume"}'

Try resume extraction in the playground →

And more

8 document types, one endpoint

DocuExtract auto-detects the document type, or you can specify it for higher accuracy.

📄

Invoices

🧾

Receipts

📋

Contracts

📝

Forms

💳

Bank Statements

📎

Resumes

🪪

ID Documents

📇

Business Cards

Extract structured data from any document

Turn invoices into structured line items

Parse receipts into expense data

Convert resumes into candidate profiles

8 document types, one endpoint

Extract your first document in 3 minutes