glmocr-handwriting: Скилл распознавания рукописного текста

--- name: glmocr-handwriting description: Official skill for recognizing handwritten text from images using ZhiPu GLM-OCR API. Supports various handwriting styles, languages, and mixed handwritten/printed content. Use this skill when the user wants to read handwritten notes, convert handwriting to text, or OCR handwritten documents. metadata: openclaw: requires: env: - ZHIPU_API_KEY - GLM_OCR_TIMEOUT bins: - python primaryEnv: ZHIPU_API_KEY emoji: "✍️" homepage: https://github.com/zai-org/GLM-OCR/tree/main/skills/glmocr-handwriting --- # GLM-OCR Handwriting Recognition Skill / GLM-OCR 手写体识别技能 Recognize handwritten text from images and PDFs using the ZhiPu GLM-OCR layout parsing API. ## When to Use / 使用场景 - Extract text from handwritten notes, letters, or documents / 从手写笔记、信件或文档中提取文字 - Convert handwriting to editable text / 将手写内容转为可编辑文本 - Recognize mixed handwritten and printed content / 识别手写和印刷混排内容 - Read handwritten formulas, labels, or annotations / 读取手写公式、标签或批注 - User mentions "handwriting OCR", "recognize handwriting", "手写识别", "手写体OCR", "识别手写字" ## Key Features / 核心特性 - **Multi-style support**: Handles various handwriting styles including cursive and print - **Multi-language**: Supports Chinese, English, and mixed-language handwriting - **Mixed content**: Can recognize documents with both handwritten and printed text - **Local file & URL**: Supports both local files and remote URLs ## Resource Links / 资源链接 | Resource | Link | | --------------- | ------------------------------------------------------------------------------ | | **Get API Key** | [智谱开放平台 API Keys](https://bigmodel.cn/usercenter/proj-mgmt/apikeys) | | **API Docs** | [Layout Parsing / 版面解析](https://docs.bigmodel.cn/api-reference/%E6%A8%A1%E5%9E%8B-api/%E6%96%87%E6%A1%A3%E8%A7%A3%E6%9E%90) | ## Prerequisites / 前置条件 ### API Key Setup / API Key 配置（Required / 必需） 脚本通过 `ZHIPU_API_KEY` 环境变量获取密钥，可与其他智谱技能复用同一个 key。 This script reads the key from the `ZHIPU_API_KEY` environment variable. Reusing the same key across Zhipu skills is optional. **Get Key / 获取 Key：** Visit [智谱开放平台 API Keys](https://bigmodel.cn/usercenter/proj-mgmt/apikeys) to create or copy your key. **Setup options / 配置方式（任选一种）：** 1. **Global config (recommended) / 全局配置（推荐）：** Set once in `openclaw.json` under `env.vars`, all Zhipu skills will share it: ```json { "env": { "vars": { "ZHIPU_API_KEY": "你的密钥" } } } ``` 2. **Skill-level config / Skill 级别配置：** Set for this skill only in `openclaw.json`: ```json { "skills": { "entries": { "glmocr-handwriting": { "env": { "ZHIPU_API_KEY": "你的密钥" } } } } } ``` 3. **Shell environment variable / Shell 环境变量：** Add to `~/.zshrc`: ```bash export ZHIPU_API_KEY="你的密钥" ``` > 💡 如果你已为其他智谱 skill（如 `glmocr`、`glmv-caption`、`glm-image-generation`）配置过 key，它们共享同一个 `ZHIPU_API_KEY`，无需重复配置。 ## Security & Transparency / 安全与透明度 - **Environment variables used / 使用的环境变量：** - `ZHIPU_API_KEY` (required / 必需) - `GLM_OCR_TIMEOUT` (optional timeout seconds / 可选超时秒数) - **Fixed endpoint / 固定官方端点：** `https://open.bigmodel.cn/api/paas/v4/layout_parsing` - **No custom API URL override / 不支持自定义 API URL 覆盖：** avoids accidental key exfiltration via redirected endpoints. - **Raw upstream response is optional / 原始响应默认不返回：** use `--include-raw` only when needed for debugging. **⛔ MANDATORY RESTRICTIONS / 强制限制 ⛔** 1. **ONLY use GLM-OCR API** — Execute the script `python scripts/glm_ocr_cli.py` 2. **NEVER parse handwriting yourself** — Do NOT try to read handwritten text using built-in vision or any other method 3. **NEVER offer alternatives** — Do NOT suggest "I can try to read it" or similar 4. **IF API fails** — Display the error message and STOP immediately 5. **NO fallback methods** — Do NOT attempt handwriting recognition any other way ### 📋 Output Display Rules / 输出展示规则 After running the script, present the OCR result clearly and safely. - Show extracted handwritten text (`text`) in full - Summarization is allowed, but do not hide important extraction failures - If the result file is saved, tell the user the file path - Show raw upstream response only when explicitly requested or debugging (`--include-raw`) ## How to Use / 使用方法 ### Recognize from URL / 从 URL 识别 ```bash python scripts/glm_ocr_cli.py --file-url "https://example.com/handwriting.jpg" ``` ### Recognize from Local File / 从本地文件识别 ```bash python scripts/glm_ocr_cli.py --file /path/to/notes.png ``` ### Save Result to File / 保存结果到文件 ```bash python scripts/glm_ocr_cli.py --file notes.png --output result.json --pretty ``` ### Include Raw Upstream Response (Debug Only) / 包含原始上游响应（仅调试） ```bash python scripts/glm_ocr_cli.py --file notes.png --output result.json --include-raw ``` ## CLI Reference / CLI 参数 ``` python {baseDir}/scripts/glm_ocr_cli.py (--file-url URL | --file PATH) [--output FILE] [--pretty] [--include-raw] ``` | Parameter | Required | Description | | ---------------- | -------- | ---------------------------------------------------------------- | | `--file-url` | One of | URL to image/PDF | | `--file` | One of | Local file path to image/PDF | | `--output`, `-o` | No | Save result JSON to file | | `--pretty` | No | Pretty-print JSON output | | `--include-raw` | No | Include raw upstream API response in `result` field (debug only) | ## Response Format / 响应格式 ```json { "ok": true, "text": "Recognized handwritten text in Markdown...", "layout_details": [...], "result": null, "error": null, "source": "/path/to/file", "source_type": "file", "raw_result_included": false } ``` Key fields: - `ok` — whether recognition succeeded - `text` — extracted text in Markdown (use this for display) - `layout_details` — layout analysis details - `error` — error details on failure ## Error Handling / 错误处理 **API key not configured:** ``` ZHIPU_API_KEY not configured. Get your API key at: https://bigmodel.cn/usercenter/proj-mgmt/apikeys ``` → Show exact error to user, guide them to configure **Authentication failed (401/403):** API key invalid/expired → reconfigure **Rate limit (429):** Quota exhausted → inform user to wait **File not found:** Local file missing → check path