Individual skill

image-ocr

Extract text from images with Tesseract OCR; use it when you need to recognize text from PNG/JPEG/TIFF/BMP images, select a language model, or run OCR via natural-language requests (e.g., "Interpret the image at C:\path\image.png").

scientific-skills/Other/image-ocr/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 2,048
Repository last updated: Sep 17, 2026
License: MIT

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bioinformatics Repository topic
computational-biology Repository topic
data-analysis Repository topic
ai Repository topic
biology Repository topic
cancer-genomics Repository topic
data-visualization Repository topic
differential-expression Repository topic
genomics Repository topic
medical Repository topic
engineering Derived category

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SKILL.mdcore · 6,701 bytes
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SKILL.mdcore · 6,701 bytes
artifacts/ocr_config.jsonasset · 130 bytes
image-ocr_audit_result_v2.jsonasset · 11,649 bytes
references/ocr-troubleshooting.mddoc · 586 bytes
scripts/image_ocr.pyruns · 4,735 bytes
scripts/ocr_config.jsonasset · 140 bytes
scripts/validate_skill.pyruns · 6,474 bytes

Read excerpt

> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

## When to Use

- You need to extract text from an image file (PNG/JPEG/TIFF/BMP) for downstream processing or review.
- You want to run OCR with a specific Tesseract language model (e.g., `eng`, `chi_sim`).
- You prefer providing a natural-language request that contains an image path (e.g., "Interpret the image at ...") instead of manually setting `image_path`.
- You need a quick local OCR verification workflow from the command line.
- You want a simple JSON-configured OCR runner that can be integrated into scripts or automation.

## Key Features

- OCR text extraction using Tesseract via `pytesseract`.
- Supports common image formats: PNG, JPEG, TIFF, BMP (via Pillow).
- Multi-language OCR through the `lang` configuration option.