Overview
- Skill Key
- fmdmm/wisediag-medocr
- Author
- fmdmm
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/fmdmm/wisediag-medocr
- Latest Commit SHA
- 77dca75499057b4cca1e65d5f97ae87a39d8fa66
Convert PDF files to Markdown using WiseDiag MedOcr API. Supports table recognition, multi-column layouts, and medical document OCR. Usage: Upload a PDF file and say Use MedOcr to process this.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 wisediag-medocr 技能。 若已安装,则直接安装 wisediag-medocr 技能。
# WiseDiag MedOcr Skill
Convert PDF files into Markdown format. The script handles API authentication, file upload, OCR processing, and saves the result automatically.
## ⚠️ IMPORTANT: How to Use This Skill
**You MUST use the provided script to process files. Do NOT call any API or HTTP endpoint directly.**
The script `scripts/medocr.py` handles everything:
- API authentication (reads `WISEDIAG_API_KEY` from environment)
- PDF upload and OCR processing
- Saves the Markdown result to `WiseDiag-MedOcr-1.0.0/{filename}.md`
## 🔑 API Key Setup (Required)
**Get your API key:**
👉 https://chat.wisediag.com/apiKeyManage
```bash
export WISEDIAG_API_KEY=your_api_key
```
## Installation
```bash
pip install -r requirements.txt
```
## Usage
**To process a PDF file, run:**
```bash
cd scripts
python medocr.py -i /path/to/input.pdf
```
The script will automatically save the result to `WiseDiag-MedOcr-1.0.0/{filename}.md`.
**Example:**
```bash
python medocr.py -i /path/to/体检报告.pdf
# Output saved to: WiseDiag-MedOcr-1.0.0/体检报告.md
```
**With custom output directory:**
```bash
python medocr.py -i /path/to/input.pdf -o /custom/output/dir
```
## Arguments
| Flag | Description |
|------|-------------|
| `-i, --input` | Input PDF file path (required) |
| `-o, --output` | Output directory (default: ./WiseDiag-MedOcr-1.0.0) |
| `--dpi` | PDF rendering DPI, 72-600 (default: 200) |
## Output
After the script runs, the Markdown file is saved automatically:
- Default: `WiseDiag-MedOcr-1.0.0/{filename}.md`
- The file is named after the input PDF (e.g. `报告.pdf` → `报告.md`)
- No additional saving is needed — the file is already on disk
## License
MIT
---
name: wisediag-medocr
description: "Convert PDF files to Markdown using WiseDiag MedOcr API. Supports table recognition, multi-column layouts, and medical document OCR. Usage: Upload a PDF file and say Use MedOcr to process this."
registry:
homepage: https://github.com/wisediag/medocr-skill
author: WiseDiag
credentials:
required: true
env_vars:
- WISEDIAG_API_KEY
---
# WiseDiag MedOcr (OpenClaw Skill)
A medical-grade OCR tool that converts PDF files into Markdown format.


## Features
- PDF to Markdown conversion with high accuracy
- Table recognition and structured formatting
- Multi-column layout support
- Medical document optimized OCR processing
- Automatic file saving with input filename
## ⚠️ IMPORTANT: How to Use This Skill
**You MUST use the provided script to process files. Do NOT call any API or HTTP endpoint directly.**
The script `scripts/medocr.py` handles everything automatically:
- API authentication (reads `WISEDIAG_API_KEY` from environment)
- PDF upload and OCR processing
- Saves the Markdown result to `WiseDiag-MedOcr-1.0.0/{filename}.md`
- No additional saving is needed after the script runs
## Installation (for OpenClaw)
OpenClaw will automatically read this README and install dependencies.
**Manual Installation:**
```bash
pip install -r requirements.txt
```
## 🔑 API Key Setup (Required)
**Get your API key:**
👉 [https://chat.wisediag.com/apiKeyManage](https://chat.wisediag.com/apiKeyManage)
**Set the environment variable:**
```bash
# Temporary (current terminal session)
export WISEDIAG_API_KEY=your_api_key_here
# Permanent (add to ~/.zshrc or ~/.bashrc)
echo 'export WISEDIAG_API_KEY=your_api_key_here' >> ~/.zshrc
source ~/.zshrc
```
## Usage
**To process a PDF file, run:**
```bash
cd scripts
python medocr.py -i /path/to/input.pdf
```
The script will automatically save the result...
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