Extract Invoice Line Items from a PDF with OCR — No SaaS

To extract invoice line items without a SaaS, open Zro7 Invoice Extractor, drop a PDF or image, and Zro7 rasterizes each page, runs Tesseract.js OCR, then applies an invoice-aware parser that outputs vendor, invoice number, issue and due dates, subtotal, tax, total, and a table of line items — all in your browser. Export the result as JSON or CSV.

How the parser works

1. PDFs are rasterized page-by-page with pdf.js at 200 DPI for OCR-quality glyphs.
2. Each page is OCR'd by Tesseract.js in a Web Worker so the UI stays responsive.
3. Regex anchors find Invoice #, Date, Due, Total, Tax, and currency symbols.
4. Line items are detected as rows with a quantity, a description, a unit price, and an amount that mathematically checks out (qty × unit ≈ amount, ±rounding).
5. Rows that don't balance are flagged for review, never silently kept.

Text-native PDFs skip OCR

If the PDF already has an embedded text layer (most modern invoices do), Zro7 pulls text directly with pdf.js — faster and pixel-perfect. OCR only runs on scans and photos.

Why not upload to an 'AI invoice API'?

• Invoices contain your bank details, vendor pricing, and customer identity.
• SaaS providers typically retain uploaded documents for 30+ days for 'model improvement.'
• Local OCR + rule-based parsing hits ~95% accuracy on clean invoices — with zero data exit.

Steps

1. Open Invoice Extractor.
2. Drop a PDF, PNG, or JPG invoice (or multiple).
3. Review parsed header fields and the line-item table.
4. Export as JSON (for scripts) or CSV (for spreadsheets).