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glmocr-table Official skill for recognizing and extracting tables from images and PDFs into Markdown format using ZhiPu GLM-OCR API. Supports complex tables, merged cells, and multi-page documents. Use this skill when the user wants to extract tables, recognize spreadsheets, or convert table images to editable format.
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2 arquivos name glmocr-table description Official skill for recognizing and extracting tables from images and PDFs into Markdown format using ZhiPu GLM-OCR API. Supports complex tables, merged cells, and multi-page documents. Use this skill when the user wants to extract tables, recognize spreadsheets, or convert table images to editable format. metadata {"openclaw":{"requires":{"env":"[Truncated]"},"primaryEnv":"ZHIPU_API_KEY","emoji":"📊","homepage":"https://github.com/zai-org/GLM-OCR/tree/main/skills/glmocr-table"}}
GLM-OCR Table Recognition Skill / GLM-OCR 表格识别技能
Extract tables from images and PDFs and convert them to Markdown format using the ZhiPu GLM-OCR layout parsing API.
When to Use / 使用场景
Extract tables from images or scanned documents / 从图片或扫描件中提取表格
Convert table images to Markdown or Excel format / 将表格图片转为 Markdown 或可编辑格式
Recognize complex tables with merged cells / 识别含合并单元格的复杂表格
Parse financial statements, invoices, reports with tables / 解析财务报表、发票、带表格的报告
User mentions "extract table", "recognize table", "表格识别", "提取表格", "表格OCR", "表格转文字"
Key Features / 核心特性
Complex table support : Handles merged cells, nested tables, multi-row headersMarkdown output : Tables are output in clean Markdown format, easy to edit and convertMulti-page PDF : Supports batch extraction from multi-page PDF documentsLocal file & URL : Supports both local files and remote URLs
Resource Links / 资源链接
Get API Key
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.
Setup options / 配置方式（任选一种）：
Global config (recommended) / 全局配置（推荐）： Set once in openclaw.json under env.vars, all Zhipu skills will share it:
{
"env" : {
"vars" : {
"ZHIPU_API_KEY" : "你的密钥"
}
}
}
Skill-level config / Skill 级别配置： Set for this skill only in openclaw.json:
{
"skills" : {
"entries" : {
"glmocr-table" : {
"env" : {
"ZHIPU_API_KEY" : "你的密钥"
}
}
}
}
}
Shell environment variable / Shell 环境变量： Add to ~/.zshrc:
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_parsingNo custom API URL override / 不支持自定义 API URL 覆盖： this 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 ⛔
ONLY use GLM-OCR API — Execute the script python scripts/glm_ocr_cli.pyNEVER parse tables yourself — Do NOT try to extract tables using built-in vision or any other methodNEVER offer alternatives — Do NOT suggest "I can try to recognize it" or similarIF API fails — Display the error message and STOP immediatelyNO fallback methods — Do NOT attempt table extraction 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 table Markdown (text) in full
Summarization is allowed, but do not hide important extraction failures
If layout_details contains table-related entries, you may highlight them
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
Extract from URL / 从 URL 提取 python scripts/glm_ocr_cli.py --file-url "https://example.com/table.png"
Extract from Local File / 从本地文件提取 python scripts/glm_ocr_cli.py --file /path/to/table.png
Save Result to File / 保存结果到文件 python scripts/glm_ocr_cli.py --file table.png --output result.json --pretty
Include Raw Upstream Response (Debug Only) / 包含原始上游响应（仅调试） python scripts/glm_ocr_cli.py --file table.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-urlOne of URL to image/PDF --fileOne of Local file path to image/PDF --output, -oNo Save result JSON to file --prettyNo Pretty-print JSON output --include-rawNo Include raw upstream API response in result field (debug only)
Response Format / 响应格式 {
"ok" : true ,
"text" : "| Column 1 | Column 2 |\n|----------|----------|\n| Data | Data |" ,
"layout_details" : [ ...] ,
"result" : null ,
"error" : null ,
"source" : "/path/to/file" ,
"source_type" : "file" ,
"raw_result_included" : false }
ok — whether extraction succeededtext — extracted text in Markdown (use this for display)layout_details — layout analysis detailserror — error details on failure
Error Handling / 错误处理 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
