Extract is an AI-powered Pro feature. Pro is $5/month and includes 20 extractions per month plus Chat with PDF, Summarize, Translate, and Flashcards. Premium ($15/mo) is unlimited.

How does this compare to Docparser / Nanonets / Klippa?

Those tools are $35-$200+ per month and require setting up parsing rules per document template. We use a general-purpose AI model that handles new document layouts without per-template setup. Trade-off: fewer enterprise features (queues, webhooks, integrations), much lower price. Best for individuals, freelancers, and small teams processing dozens-to-hundreds of invoices per month rather than thousands per day.

Does the PDF leave my computer?

The PDF file itself never leaves your browser. We extract the text client-side via pdf.js and only send the extracted plain text to the AI. Your annotations, signatures, and embedded files stay on-device.

What kinds of documents work?

Three presets: Tables (any document with structured tabular data — financial reports, schedules, lists), Invoice (vendor invoices and bills with line items and totals), Receipt (purchase receipts from stores or services). The Tables preset is the most general — try it first if you're unsure.

How accurate is the extraction?

Very accurate on well-formed documents — typed invoices from real vendors, financial reports, schedules with clear column headers. Less accurate on heavy multi-column layouts, hand-marked-up scans, or documents where columns are visually but not structurally aligned. Always verify the preview before exporting; the model occasionally flags ambiguity in the Notes field.

Can I extract from a scanned PDF?

Run OCR first (PDF tools → OCR), then come back. Scanned PDFs are images; we need text. The screen warns you if it detects no text in the doc.

What file format do I get?

CSV. Opens directly in Excel, Google Sheets, Numbers, Airtable, or any analytics tool. UTF-8 with proper RFC 4180 quoting so commas / quotes / newlines inside cells don't break the parse.

Does it work on Word / Excel / PowerPoint files?

Yes — drop a .docx / .xlsx / .pptx and letsgoPDF auto-converts to PDF first (uses 1 of your monthly cloud conversions), then runs extraction on the result.

NEW · AI POWERED · PRO

Extract data from PDFs. Tables, invoices, receipts → CSV.

Drop a PDF, get Excel-ready rows. Pick a preset — Tables, Invoice, or Receipt — and the AI parses the document into structured fields: vendor, dates, line items, currency, totals. Preview the result on screen, download a CSV, open in Excel or Google Sheets. Built for bookkeepers, freelancers, finance ops, and anyone tired of typing invoice data by hand. The PDF itself stays in your browser — only the extracted text goes to the AI.

Extract data from PDF See pricing

Three presets

Tables. The general-purpose preset. Finds every well-defined table — financial reports, sales by region, schedules, product specs, comparison matrices. Each table gets headers + rows; download one CSV per table or all combined.
Invoice. Optimised for vendor invoices and bills. Extracts: vendor name + address, invoice number, invoice date, due date, currency, every line item (description, quantity, unit price, total), subtotal, tax, shipping, discount, grand total. CSV is structured for AP workflow imports.
Receipt. For shorter purchase receipts (store, restaurant, online order). Same shape as Invoice but with a tighter prompt for short documents.

Who's this for?

Bookkeepers + freelance accountants. Drop a stack of vendor invoices, get CSVs ready to import into QuickBooks, Xero, Wave. $5/month vs Docparser's $35+.
AP teams at small businesses. Process dozens of invoices a month without per-template parsing rules. The AI handles new vendor layouts without setup.
Expense reporting. Drop receipts, get line items, paste into your expense tool.
Researchers + analysts. Pull data tables out of PDFs for re-analysis. Annual reports, scientific papers, government filings — anything with structured tabular data.
Anyone migrating from a PDF-based workflow. Old systems exported to PDF; your new system imports CSV. Bridge the gap.

Why letsgoPDF for PDF extraction

Cheap relative to enterprise tools. $5/month for 20 extractions. Docparser starts at $35; Nanonets at $499/yr. If your volume is dozens-to-hundreds of invoices per month, you're overpaying with the enterprise stack.
No per-template setup. Drop any invoice layout; the AI parses it. Traditional rule-based extractors need you to draw boxes around fields for each new vendor.
Privacy. The PDF stays in your browser. Only the extracted text goes to the AI — your annotations, signatures, and embedded attachments don't leave the device.
Verify before commit. Preview shows the parsed result on-screen before you download. Faster than spotting errors in a CSV after import.
Same toolkit. Need to OCR a scanned old invoice first? Compress before archiving? Redact account numbers before sharing? letsgoPDF handles it all.

Common questions

How accurate is it on real-world invoices?: Strong on typed invoices from real vendors with clear layouts. Weaker on heavily-styled "creative" invoices, hand-modified scans, and documents where columns are visually-only (no underlying text alignment). Always verify the preview before exporting; the AI flags ambiguity in a Notes field when it isn't sure.
What if my invoice has line items spanning multiple pages?: Handled — we read up to ~30-40 pages of dense prose at once. The model concatenates pages and emits one consolidated line-items list. For very long documents, split into chapters first (PDF tools → Split).
Does it preserve currency formatting?: Yes. Numbers come out exactly as they appear in the source — "$1,234.56" stays "$1,234.56", "€1.234,56" stays as in source. No silent normalisation; bookkeepers want fidelity.
Can I bulk-process a folder of invoices?: Not from a single drop yet — process one at a time. Bulk mode is on the roadmap. For now: drop, extract, download, drop next.
Does it work in non-English languages?: Yes — the model handles invoices in 30+ languages. Field labels in the output stay in English (Vendor, Total, etc.) for consistent CSV column structure across imports.
What's the file format?: UTF-8 CSV with RFC 4180 quoting. Imports cleanly into Excel, Google Sheets, Numbers, Airtable, QuickBooks, Xero, Wave, and any analytics tool.

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