How to Improve OCR Accuracy

Quick answer: OCR accuracy is decided by input quality before any settings matter: 300 DPI, straight, clean, correct language. Open 图片 OCR — everything runs locally in your browser, and files never leave your device.

Steps

1. Target 300 DPI or better; re-photograph documents that are shadowed or skewed.
2. Straighten tilted pages — a few degrees of skew measurably hurts accuracy.
3. Set the language correctly: Simplified Chinese, or Chinese+English for mixed documents.
4. Proof-read the high-risk fields: digits, amounts, and ID numbers fail before prose does.

Important notes

• Multi-generation photocopies and stamp-covered regions drop accuracy sharply — re-scan when possible.
• Confusing 0 vs O is a low-DPI symptom that better input resolves.

Common questions

Does it handle handwriting? Neat handwriting partially; cursive is unreliable — key it in for anything formal.

Pro tips

The accuracy hierarchy, from biggest lever to smallest: input resolution (300 DPI minimum, 600 for small print), page straightness (a 2-degree skew measurably hurts), language settings (mixed documents need the mixed model), and only then engine settings. The often-missed sixth factor is page condition preprocessing — a contrast pass on faded receipts or a background-color removal on colored paper stock frequently rescues an otherwise hopeless page. Set a realistic accuracy target by document value: an archive of personal notes tolerates errors, an invoice pipeline does not.

Is more DPI always better? Past ~600 DPI the gains vanish and file size explodes; extremely high DPI can even introduce noise — 300-400 is the sweet spot for text.