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OCR - Local (No API Key)

Extract text from images using Tesseract.js OCR (100% local, no API key required). Supports Chinese (simplified/traditional) and English.

shaw555

@shaw555

What This Skill Does

Extracts text from images using Tesseract.js OCR, running entirely locally with no API key required. Supports simplified Chinese, traditional Chinese, and English, with options for language combination and JSON output.

Replaces cloud-based OCR services that require API keys and internet access by running 100% locally with cached language data.

When to Use It

  • Extract text from a screenshot of a Chinese interface
  • Digitize text from a scanned English document
  • Recognize mixed Chinese and English text in a single image
  • Batch process multiple images for text extraction in a script
  • Extract text from a high-contrast image for data entry

Install

$ openclaw skills install @shaw555/ocr-local

OCR - Image Text Recognition (Local)

Extract text from images using Tesseract.js. 100% local run, no API key required. Supports Chinese and English.

Quick start

node {baseDir}/scripts/ocr.js /path/to/image.jpg
node {baseDir}/scripts/ocr.js /path/to/image.png --lang chi_sim
node {baseDir}/scripts/ocr.js /path/to/image.jpg --lang chi_tra+eng

Options

  • --lang <langs>: Language codes (default: chi_sim+eng)

    • chi_sim - Simplified Chinese
    • chi_tra - Traditional Chinese
    • eng - English
    • Combine with +: chi_sim+eng

  • --json: Output as JSON instead of plain text

Examples

# Recognize Chinese screenshot
node {baseDir}/scripts/ocr.js screenshot.png

# Recognize English document
node {baseDir}/scripts/ocr.js document.jpg --lang eng

# Mixed Chinese + English
node {baseDir}/scripts/ocr.js mixed.png --lang chi_sim+eng

Notes

  • First run downloads language data (~20MB per language)
  • Subsequent runs are cached locally
  • Works best with clear, high-contrast images
  • For handwritten text, accuracy may vary

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