According to AlphaMoat, as of 2026-09, Image OCR Reader has 4,055 downloads and 0 stars — ranked #2,513 of 5,078 AI skills overall, and #207 of 435 in Office.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 42 | 4.1K | - | - |
| SkillHub ↗ | 204 | 2.9K | - | — |
Platforms count differently and update at different times.
Dependencies are Python 3, tesseract-ocr, pytesseract, and Pillow: the system dependency installs via sudo apt-get install tesseract-ocr on Ubuntu/Debian, brew install tesseract on macOS, or sudo yum install tesseract on CentOS/RHEL; Python dependencies install with pip install pytesseract Pillow. Two usage paths: the command line python3 image_ocr_reader.py --file /path/to/image.jpg, or the Python API from image_ocr_reader import extract_text followed by calling extract_text(...). The skill card adds that detailed mode can return OCR confidence and bounding-box data, and that extracted text can optionally be written to a user-selected output path (keep the path explicit to avoid overwriting or exposing data); it also notes results may be incomplete or inaccurate for low-quality images or missing language packs, so review before using them for decisions. The skill is MIT-licensed.
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 | 4.1K | — | - |
| 2026-08 | 4.0K | +23.5% | - |
| 2026-07 | 3.2K | +113.4% | - |
| 2026-06 | 1.5K | +11.0% | - |
| 2026-05 | 1.4K | — | - |
| 2026-03 | 869 | — | - |
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.
# Image OCR Reader 从图片中提取文字内容的技能,支持中文和英文识别。 ## 功能 - 从图片文件中提取文字 (OCR) - 支持中文、英文混合识别 - 使用 Tesseract OCR 引擎 - 兼容 jpg、png、jpeg 等常见图片格式
## 依赖
- Python 3
- tesseract-ocr
- pytesseract
- Pillow
## 安装
### 1. 安装系统依赖
```bash
# Ubuntu/Debian
sudo apt-get install tesseract-ocr
# macOS
brew install tesseract
# CentOS/RHEL
sudo yum install tesseract
```
### 2. 安装 Python 依赖
```bash
pip install pytesseract Pillow
```
## 使用方法
### 命令行
```bash
python3 image_ocr_reader.py --file /path/to/image.jpg
```
### Python API
```python
from image_ocr_reader import extract_text
text = extract_text("/path/to/image.jpg")
print(text)
```
## 输出示例
输入一张包含文字的图片,输出提取的文字内容。
---
## 积分
- 版本: 1.0.0
- 作者: OpenClaw
- 许可证: MIT
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.