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OCR — Image to Text Extractor

OCR — Image to Text Extractor

Pull text out of screenshots, scans and photos — self-hosted engine, image never uploaded

Recognition runs entirely in your browser via a self-hosted Tesseract engine (downloaded once, then cached). Your image never leaves the device.

Examples

Quote from a scan

Input
Scanned paragraph photo, 300 px tall
Output
≈ verbatim text · confidence 88%

Contrast stretching keeps thermal-printed and shaded text recognizable.

About this tool

Tesseract compiled to WebAssembly, running fully in your browser with a self-hosted engine and English model (~13 MB, downloaded once and cached — offline after that). Before recognition, images are auto-enhanced: grayscale plus contrast stretching, which markedly lifts accuracy on photos and receipts.

Results arrive with a confidence score, in an editable pane with copy and .txt export. Honest limits: handwriting and stylized display fonts stay unreliable, and sharp straight-on input remains the recipe.

How to use

  1. Pick an image

    PNG, JPG, WebP or BMP up to 20 MB.

  2. Extract

    Engine loads once (cached); live progress streams while it recognizes.

  3. Use the text

    Copy or download; check confidence and compare with the preview.

Use cases

Screenshot salvage

Code and quotes out of talk slides and video calls.

Receipt digitization

Line items into text for expense notes.

Common mistakes

Mistake:Feeding blurry or angled photos

Fix:OCR rewards sharp, straight-on, high-contrast input; retake instead of hoping.

Mistake:Trusting low-confidence output verbatim

Fix:Below ~80 confidence expect character swaps — proofread against the preview.

Frequently asked questions

References & standards