zai-org/glm-ocr · Archived

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.

First seen Mar 22, 2026

Installation

$ npx skills add zai-org/glm-ocr --skill glmocr-table

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More details

Agent compatibility

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Repository health

Stars 7.4K
License LICENSE
Default branch main
Open issues 39
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents clawdbot
More 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-table"}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 7,479 B
  • docs SUMMARY.md 326 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 9 installs

SKILL.md

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 ZHIPUAPIKEY 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 ZHIPUAPIKEY 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": { "ZHIPUAPIKEY": "你的密钥" } } } ``

  1. Skill-level config / Skill 级别配置: Set for this skill only in openclaw.json:

``json { "skills": { "entries": { "glmocr-table": { "env": { "ZHIPUAPIKEY": "你的密钥" } } } } } ``

  1. Shell environment variable / Shell 环境变量: Add to ~/.zshrc:

``bash export ZHIPUAPIKEY="你的密钥" ``

💡 如果你已为其他智谱 skill(如 glmocrglmv-captionglm-image-generation)配置过 key,它们共享同一个 ZHIPUAPIKEY,无需重复配置。

Security & Transparency / 安全与透明度

  • Environment variables used / 使用的环境变量:

- ZHIPUAPIKEY (required / 必需) - GLMOCRTIMEOUT (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/glmocrcli.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

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-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

{
  "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:

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