According to AlphaMoat, as of 2026-09, OCR Test has 2,506 downloads and 0 stars — ranked #4,093 of 5,078 AI skills overall, and #308 of 435 in Office.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 26 | 1.0K | - | - |
| SkillHub ↗ | 551 | 2.5K | - | — |
Platforms count differently and update at different times.
It reads text out of images in Simplified Chinese, Traditional Chinese and English, with the language mix set per call and Simplified plus English as the default. Output is plain text unless you ask for JSON. It suits text-heavy images such as receipts and screenshots. Installation fetches tesseract.js, and first runs may download language data (about 20 MB per language). OCR quality varies with handwriting, contrast, lighting and language selection; review extracted text before relying on it and use a specific supported language code.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
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 | 2.5K | — | - |
| 2026-08 | 1.9K | +11.1% | - |
| 2026-07 | 1.7K | +19.1% | - |
| 2026-06 | 1.5K | +13.4% | - |
| 2026-05 | 1.3K | — | - |
| 2026-03 | 770 | — | - |
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.
---
name: ocr
description: Extract text from images using Tesseract.js OCR. Supports Chinese (simplified/traditional) and English.
homepage: https://github.com/naptha/tesseract.js
metadata: {"clawdbot":{"emoji":"📝","requires":{"bins":["node"]},"install":[{"id":"npm","kind":"npm","packages":["tesseract.js"],"label":"Install tesseract.js"}]}}
---
# OCR - Image Text Recognition
Extract text from images using Tesseract.js. Supports Chinese and English.
## 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
- 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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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.