According to AlphaMoat, as of 2026-09, Ocr Local Rose has 1,481 downloads and 0 stars — ranked #4,780 of 5,078 AI skills overall, and #391 of 435 in Office.

Installs

170

Downloads

1.5K

Stars

Overall Rank

#4,780

Top 95% overall · Top 90% in Office

Platform	Installs	Downloads	Stars	Comments
ClawHub ↗	24	1.0K	-	-
SkillHub ↗	170	1.5K	-	—

Platforms count differently and update at different times.

What this skill does

Use Tesseract.js OCR to extract text from images, with support for Simplified Chinese, Traditional Chinese, and English, and plain-text or JSON output. The skill describes processing as local and requiring no API key; language data is fetched on first use. Low contrast, poor lighting, or handwriting can reduce accuracy, so review the result. Requires Node.js and the Tesseract.js dependency; review and pin packages and pre-download trusted language data for restricted environments.

Profile published 2026-10-27

What you can do with it

Extract text from a screenshot or document image
Select an OCR language suited to the image
Get OCR results as plain text or JSON

When to use it

When text in an image needs to be read in Chinese or English
Review OCR output before relying on it; inspect dependencies and language-data sources in restricted environments

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Extract the readable text from this image and mark any uncertain or potentially misrecognized parts.

Monthly Trend

Downloads1.5K

Stars-

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

Month	Downloads	MoM	Stars
2026-09	1.5K	—	-
2026-08	1.1K	+16.1%	-
2026-07	940	+35.8%	-
2026-06	692	+21.0%	-
2026-05	572	—	-
2026-03	249	—	-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

2.0 KB · ClawHub v1.0.0

---
name: ocr-local
description: Extract text from images using Tesseract.js OCR (100% local, no API key required). Supports Chinese (simplified/traditional) and English.
homepage: https://github.com/naptha/tesseract.js
metadata: {"openclaw":{"emoji":"📝","requires":{"bins":["node"]},"install":[{"id":"npm","kind":"npm","packages":["tesseract.js"],"label":"Install tesseract.js"}]}}
---

# OCR - Image Text Recognition (Local)

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

Show all (66 lines)


## Quick start

```bash
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

```bash
# 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

- Language data is stored in `{baseDir}/scripts/tessdata/`
- First run downloads language data (~20MB per language)
- Subsequent runs use cached data
- Works best with clear, high-contrast images
- For handwritten text, accuracy may vary

## Language Data

Language model files (`.traineddata.gz`) are automatically downloaded on first use and stored in:
```
{baseDir}/scripts/tessdata/
- chi_sim.traineddata.gz (Simplified Chinese)
- eng.traineddata.gz (English)
```

To manually download or update language data:
```bash
cd {baseDir}/scripts/tessdata
curl -O https://cdn.jsdelivr.net/npm/@tesseract.js-data/chi_sim/4.0.0_best_int/chi_sim.traineddata.gz
curl -O https://cdn.jsdelivr.net/npm/@tesseract.js-data/eng/4.0.0_best_int/eng.traineddata.gz
```