Individual skill
ocr-pro
Optical character recognition pipelines — engine choice, preprocessing, and accuracy — use when extracting text from images or scans.
skills/ocr-pro/SKILL.md
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Oct 10, 2026
- License
- MIT
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## Overview
OCR turns images of text — scans, photos, screenshots — into machine-readable
text. Accuracy depends less on the engine than on input quality and post-
processing. This skill covers choosing an OCR approach, preprocessing images
for maximum accuracy, and validating results.
## When to use
- Digitizing scanned documents, PDFs-as-images, or paper archives
- Extracting text from photos (receipts, signs, whiteboards, IDs)
- Choosing between local OCR engines and cloud vision APIs
- Improving accuracy on difficult inputs (handwriting, low contrast, skew)
- Building validation for OCR output in a pipeline