OCR Test

基于 Tesseract.js 的 OCR 脚本，通过 node scripts/ocr.js 读取图片路径，可指定 chi_sim、chi_tra、eng 语言组合（默认 chi_sim+eng），并可用 --json 输出 JSON。首次运行需联网下载语言数据（约 20MB/语言），之后本地缓存；对清晰高对比度图片效果较好，手写体准确率未作保证。

shaw555

热度 67.43

最近更新 2026-05-11 17:31:53

分类：效率依赖：代码执行 / 读写文件应用场景：文件转换 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add ocr-skill-test

Metadata

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

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