Extract Data from PDF Receipts Automatically

Drop a PDF, get structured data. Vendor, date, total, tax, currency, and line items extracted in seconds. Works with Amazon invoices, Stripe receipts, SaaS statements, airline e-tickets, and hotel folios.

60-day trial · No credit card · Bulk upload supported

What It Extracts

  • Vendor name — normalized across receipts from the same merchant
  • Date — auto-detected regardless of format (US, EU, ISO)
  • Total amount with currency
  • Tax breakdown (VAT, GST/HST, sales tax)
  • Line items for itemized receipts (hotels, Amazon, airline tickets)
  • Payment method when visible (Visa ****1234, bank transfer, etc.)
  • Confidence score per extracted field

Use Cases

  • Amazon invoices — monthly Amazon Business invoices come as PDFs. Auto-extract and categorize. See Amazon receipt scanner.
  • Stripe receipts — all Stripe payment receipts and invoices as PDFs
  • SaaS subscription PDFs — AWS, Google Workspace, Slack, Notion
  • Airline e-tickets — extract fare, taxes, booking fees
  • Hotel folios — multi-line extraction (room, tax, parking, meals)
  • Utility bills — auto-extract for tax deductions

How It Works

  1. Upload or forward. Drag the PDF into ExpenseBot, or forward it to receipts@expensebot.ai. Gmail attachments are extracted automatically if you connect Gmail auto-scanning.
  2. Gemini OCR extracts the data. The AI identifies each field — vendor, date, total, tax, line items — with per-field confidence scores.
  3. Review and export. Verify the extraction (usually no changes needed), then export to Google Sheets, QuickBooks, Xero, Sage, or CSV.

Stop typing data out of PDFs.

Bulk PDF Processing

Drag a folder of 100 PDFs into ExpenseBot and every one gets processed in parallel — typically under 2 minutes. Or connect your Gmail and ExpenseBot auto-extracts every PDF attachment overnight. For developers, the ExpenseBot MCP server exposes the extractor as a tool for programmatic use.

Sample Extraction

{ "vendor": "Amazon Web Services", "date": "2026-03-15", "total": 347.82, "currency": "USD", "tax": 24.35, "line_items": [ { "desc": "EC2 usage", "amount": 189.22 }, { "desc": "S3 storage", "amount": 67.50 }, { "desc": "Data transfer","amount": 66.75 } ], "payment": "Visa ****4521", "category": "Software", "confidence": 0.98 }

Frequently Asked Questions

What PDF types work?

Both native-text PDFs (Amazon invoices, Stripe receipts, SaaS subscription statements, airline e-tickets) and scanned PDFs (receipts printed and scanned back to PDF). Gemini-based OCR handles both. Native-text PDFs extract faster and more accurately; scanned PDFs run through vision OCR with 95%+ accuracy on clean scans.

Does it handle multi-page PDFs?

Yes. Multi-page invoices (hotel folios, itemized airline tickets, consolidated statements) are parsed as a single receipt with all line items captured. The system identifies the grand total on the summary page and maps line items to subcategories.

Non-English PDFs?

Yes. The PDF receipt extractor handles English, French, German, Spanish, Portuguese, Japanese, Chinese, and most European languages. Currency symbols, date formats, and tax terminology are auto-detected per locale.

How accurate is the extraction?

Native-text PDFs extract at near-100% accuracy for core fields (vendor, date, total, tax). Scanned PDFs average 95%+ on clean documents. Every extraction shows a confidence score, and you can correct any field — the system learns your corrections for future receipts from the same vendor.

Can I bulk-upload a folder of PDFs?

Yes. Drag a folder into the upload area and the system processes all PDFs in parallel. Typical batch of 100 PDFs processes in under 2 minutes. Or connect Gmail and ExpenseBot auto-extracts PDF attachments overnight — no manual upload needed.

API access for developers?

Yes — the ExpenseBot MCP server exposes receipt extraction as a tool for programmatic use. Reach out to support@expensebot.ai for API access and documentation.

Start Extracting PDF Receipts Today

60-day free trial. No credit card. Bulk upload supported.