Drop in a JPG / PNG of a printed receipt and the tool runs Tesseract OCR locally in your browser. Get clean plain text, Markdown, or structured JSON with auto-detected vendor, dates, amounts, tax lines, and card-ending fields.
01 — What you create
Tesseract OCR runs locally in your browser, returns the recognised text, and the tool auto-detects the receipt fields most expense systems care about — vendor, date, amounts, tax, card ending. Export as plain text, Markdown, or structured JSON.
receipt-2026-05-23.txt
142 words · 92% confidence · 6 detected fields
eng · receipt mode
EXTRACTED TEXT
BOMBAY CANTEEN Kamala Mills, Mumbai 400013 GSTIN 27ABCDE1234F1Z9 Bill no: BC-09812 Date: 05-May-2026 Table 14 Tasting menu 1 4,200.00 Wine pairing 2 980.00 Sparkling water 1 250.00 Service charge -- 680.00 Subtotal 6,110.00 CGST 9% 549.90 SGST 9% 549.90 TOTAL 7,209.80 Card ending 4421 Paid · 05-May-2026 21:14
DETECTED FIELDS
Scanned invoices, multi-page batches, multi-currency stacks, and direct push into your accounting system. Free for 30 days, no card required.
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02 — How it works
Most "OCR" tools want a signup. This one runs the open-source Tesseract recognition engine entirely in your browser via WebAssembly. The image, the recognition, and the output text all stay on your machine — useful for receipts that you don’t want sitting in a third party’s logs.
Drag a JPG / PNG of a printed receipt — phone photo, scan, screenshot — into the picker. The image stays on your machine.
Choose the language (English by default, English + a second language available for multilingual receipts), and tap "Extract". Tesseract OCR runs locally with a progress bar.
The extracted text appears immediately, with auto-detected vendor, date, amounts, and card-ending fields shown alongside. Copy to clipboard or download as .txt / .md / .json.
03 — Built for receipts
Open-source Tesseract recognition engine runs entirely client-side via WebAssembly. The image bytes never touch a server.
English by default, plus French / German / Spanish / Italian / Hindi / Portuguese / Japanese / Simplified Chinese paired with English for multilingual receipts.
Quick-and-pragmatic regex passes surface vendor (first non-numeric line), dates, currency amounts, tax lines, and card-ending digits.
Default post-processing collapses Tesseract's noisy whitespace runs and groups blank-line breaks so the output reads like the source receipt did.
Plain text (.txt) for copy-paste, Markdown (.md) for readable archives with structured field summaries, or JSON (.json) for machine consumption.
Tesseract returns a 0–100 confidence per recognition. Green above 80, amber above 60, red below — at a glance, you know whether the OCR is trustworthy.
Bulk OCR, batch invoicing, multi-party e-signing, redaction, audit logs — pdfFiller picks up where Sonchoy ends. Free for 30 days, no credit card.
Run 100+ invoices, statements, or conversions in one go.
Turn paper invoices into searchable, exportable data.
Multi-party signatures with full audit trails.
Mask sensitive ledger lines before sending to auditors.
04 — Common questions
The first "Extract" downloads the Tesseract OCR engine (~3 MB of WebAssembly) and the language data (~5 MB for English; multilingual packs are larger) from a public CDN. After that, the engine is cached in the browser and subsequent runs are fast (typically 2–6 seconds per receipt depending on image size).
For clean, well-lit, printed receipts: typically 85–95% confidence. Phone-camera receipts under good lighting do well. Crumpled receipts, faded thermal paper (the kind that turns black after a few days), or hand-written notes drop substantially — Tesseract is not great at handwriting. The confidence score on the output indicates how much to trust the result.
Poorly. Tesseract is trained on printed text; handwriting recognition is a separate harder problem that needs different models (Google Cloud Vision, Microsoft Read API, AWS Textract). For handwritten receipts, the pdfFiller premium tier uses cloud-grade OCR with much better handwriting support.
English is the right default for most receipts globally (Anglo brands, English on numerical bits). Switch to "English + <language>" when the receipt has substantial non-English text — French for Paris cafe receipts, German for Berlin restaurant receipts, Hindi for some Indian small-shop receipts. Multilingual packs are bigger and slower on first load.
No — they're quick-and-pragmatic regex passes, not a fine-tuned receipt parser. Treat them as suggestions to pre-fill an expense report row, not as the authoritative answer. Always glance at the full extracted text before using the detected vendor / total / date.
Tesseract.js runs entirely in your browser via WebAssembly. The OCR engine itself is loaded from a public CDN (jsDelivr) on first use — that's a one-time engine download, not an image upload. Your receipt image bytes, the recognition pass, the detected fields, and the output text all stay on your machine.
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