How to Benchmark OCR Accuracy: A Method You Can Run Yourself (2026)
FastOCR has not published an accuracy benchmark, and this page does not contain one. It describes a method you can run on your own documents, because accuracy depends far more on your scans, scripts and fonts than on any published average.
Choose a representative sample
- Pick 20 to 50 pages that look like the documents you will really process: same scanner or phone, same languages, same fonts.
- Include the hard cases: faded print, skewed photos, stamps, small type, mixed scripts.
- Keep each script in its own group so one easy script cannot hide a weak one.
Write the reference text
- Type the correct text for a sample of each group, or a fixed region of each page.
- Use the same normalization for every tool: Unicode form, whitespace and punctuation rules.
Measure the same way for every tool
- Character error rate is the number of edits needed to turn the output into the reference, divided by the reference length.
- Word error rate is the same idea on words. Report both if you search by words.
- Check what matters for your use: names, numbers, dates and diacritics, not only the average.
Report what you did
- State the test set size, scripts, scan quality, tool versions and date next to any number.
- A number without these details cannot be compared with anyone else.
Run the test on your own file
Upload an image or PDF and check the result against your reference text.
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