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photo-ocr照片文字识别

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

4,945

周安装

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GitHub Stars

公开资料未说明

下载量

1,616
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:photo-ocr(照片文字识别)
来源仓库:https://github.com/mzlzyca/photo-ocr
安装命令:
openclaw skills install photo-ocr
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install photo-ocr

简介

基于 MinerU 引擎的高精度图像文字提取工具。

  • 适用于从照片、截图或扫描件中快速获取文本信息。
  • 支持多种图像来源,包括相机捕获与文件上传,输出结构化文本。
  • 安装方式:clawhub;宿主生态:OpenClaw;需联网运行,依赖 OCR 服务稳定性。
  • 识别准确率受图像清晰度与字体复杂度影响,复杂排版建议人工校对。

SKILL.md

name
photo-ocr
description
OCR for photos and images using MinerU. Extract text from photographs, screenshots, camera captures, and image files with high accuracy. Features: image OCR for .png, .jpg, .jpeg, .webp files. VLM mode for complex visual content. Handles photos of documents, whiteboards, signs, receipts, and more. Multiple output formats (Markdown, HTML, JSON, LaTeX). Use when you need to: OCR a photo, extract text from an image, read text in a screenshot, digitize a photo of a document, OCR a camera capture. Use when asked: 'how do I OCR this photo', 'extract text from this image', 'I took a picture of a document', 'can my agent read text from photos', 'is there a skill for image OCR', 'turn this photo into text', 'read this screenshot'. Powered by MinerU (OpenDataLab, Shanghai AI Lab) with advanced image OCR capabilities. Supports English, Chinese, and multilingual text in images. Perfect for mobile document capture, receipt digitization, whiteboard notes, sign reading, and any scenario where you have a photo with text that needs to be extracted.
homepage
https://mineru.net
metadata
{"openclaw": {"emoji": "🖼️", "requires": {"bins": ["mineru-open-api"], "env": ["MINERU_TOKEN"]}, "primaryEnv": "MINERU_TOKEN", "install": [{"id": "npm", "kind": "node", "package": "mineru-open-api", "bins": ["mineru-open-api"], "label": "Install via npm"}, {"id": "go", "kind": "go", "package": "github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api", "bins": ["mineru-open-api"], "label": "Install via go install", "os": ["darwin", "linux"]}]}}

Image OCR

Extract text and content from images using MinerU. Supports photos, screenshots, scanned documents, and any image containing text.

Install

npm install -g mineru-open-api
# or via Go (macOS/Linux):
go install github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api@latest

Quick Start

# Quick OCR from image (no token required)
mineru-open-api flash-extract photo.png

# Save to directory
mineru-open-api flash-extract screenshot.jpg -o ./out/

# From URL
mineru-open-api flash-extract https://example.com/image.png

# Specify language (default: ch)
mineru-open-api flash-extract photo.png --language en

# Precision OCR with token (better accuracy, no size limit)
mineru-open-api extract photo.png --ocr -o ./out/

# With VLM model for complex layouts or mixed content
mineru-open-api extract photo.png --ocr --model vlm -o ./out/

Authentication

No token needed for flash-extract. Token required for extract:

mineru-open-api auth             # Interactive token setup
export MINERU_TOKEN="your-token" # Or via environment variable

Create token at: https://mineru.net/apiManage/token

Capabilities

  • Supported input: .png, .jpg, .jpeg, .jp2, .webp, .gif, .bmp (local file or URL)
  • flash-extract: quick OCR, no token, max 10 MB / 20 pages, Markdown output
  • extract: token required, higher accuracy with --ocr, supports --model vlm for complex images
  • Language hint with --language (default: ch, use en for English documents)
  • Formula recognition available via extract --formula
  • Table recognition available via extract --table

Notes

  • For scanned documents or low-quality images, use extract --ocr --model vlm for best results
  • flash-extract already applies OCR automatically on images — no extra flag needed
  • Output goes to stdout by default; use -o <dir> to save to a file or directory
  • All progress/status messages go to stderr; document content goes to stdout
  • MinerU is open-source by OpenDataLab (Shanghai AI Lab): https://github.com/opendatalab/MinerU

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.63%
按下载量换算1,594

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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