GLM-OCR-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.

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 headers
• Markdown output: Tables are output in clean Markdown format, easy to edit and convert
• Multi-page PDF: Supports batch extraction from multi-page PDF documents
• 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
API Docs	Layout Parsing / 版面解析

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 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-table": {
           "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： 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 ⛔

1. ONLY use GLM-OCR API — Execute the script python scripts/glm_ocr_cli.py
2. NEVER parse tables yourself — Do NOT try to extract tables using built-in vision or any other method
3. NEVER offer alternatives — Do NOT suggest "I can try to recognize it" or similar
4. IF API fails — Display the error message and STOP immediately
5. NO 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

bash

python scripts/glm_ocr_cli.py --file-url "https://example.com/table.png"

Extract from Local File / 从本地文件提取

bash

python scripts/glm_ocr_cli.py --file /path/to/table.png

Save Result to File / 保存结果到文件

bash

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）

bash

python scripts/glm_ocr_cli.py --file table.png --output result.json --include-raw

CLI Reference / CLI 参数

text

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": "| 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
}

Key fields:

• ok — whether extraction 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:

text

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