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glmocr

glmocr

github.com/zai-orgDocuments47577 installsUpdated 28w ago
Repository

About glmocr

glmocr is a skill for extracting text from images and PDFs with the GLM-OCR layout parsing API. It also converts tables to Markdown and formulas to LaTeX, and accepts local files or URLs.

Key features

  1. 01Table recognition with Markdown output
  2. 02Formula extraction in LaTeX
  3. 03Handwriting recognition
  4. 04Local file and URL input
  5. 05Structured text and layout details

Use cases

  1. 01Extract text from screenshots or scans
  2. 02Convert document tables to Markdown
  3. 03Read formulas in image-based documents

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/zai-org/glm-skills --skill glmocr

After installing, type/glmocrin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
output_schema.md
scripts/
config_setup.py
glm_ocr_cli.py
requirements.txt

Details

From the project README

GLM-OCR Text Extraction Skill

Extract text from images and PDFs using the GLM-OCR layout parsing API.

When to Use

  • Extract text from images (PNG, JPG, PDF)
  • Convert screenshots to text
  • Process scanned documents
  • OCR photos containing text (including handwritten text)
  • Recognize tables and formulas in documents
  • User mentions "OCR", "文字识别", "文档解析"

Key Features

  • Table recognition: Detects and converts tables to Markdown format
  • Formula extraction: LaTeX format output
  • Handwriting support: Strong recognition for handwritten text
  • Local file & URL: Supports both local files and remote URLs

Resource Links

ResourceLink
Get API Keyhttps://www.bigmodel.cn/usercenter/proj-mgmt/apikeys
GitHubhttps://github.com/zai-org/GLM-OCR

Prerequisites

  • ZHIPU_API_KEY configured (see Setup below)

Security Notes

  • No runtime package installation is performed by the scripts.
  • OCR requests use the fixed official GLM endpoint and do not accept custom API URLs.
  • Only ZHIPU_API_KEY (and optional timeout) is read from environment variables.

⛔ MANDATORY RESTRICTIONS - DO NOT VIOLATE ⛔

  1. ONLY use GLM-OCR API - Execute the script python scripts/glm_ocr_cli.py
  2. NEVER parse documents directly - Do NOT try to extract text yourself
  3. NEVER offer alternatives - Do NOT suggest "I can try to analyze it" or similar
  4. IF API fails - Display the error message and STOP immediately
  5. NO fallback methods - Do NOT attempt text extraction any other way

Setup

  1. Get your API key: https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys
  2. Configure:
    python scripts/config_setup.py setup --api-key YOUR_KEY
    

How to Use

Extract from URL
python scripts/glm_ocr_cli.py --file-url "URL provided by user"
Extract from Local File
python scripts/glm_ocr_cli.py --file /path/to/image.jpg
Save result to file (recommended)
python scripts/glm_ocr_cli.py --file-url "URL" --output result.json

CLI Reference

python {baseDir}/scripts/glm_ocr_cli.py (--file-url URL | --file PATH) [--output FILE] [--pretty]
ParameterRequiredDescription
--file-urlOne ofURL to image/PDF
--fileOne ofLocal file path to image/PDF
--output, -oNoSave result JSON to file
--prettyNoPretty-print JSON output

Response Format

{
  "ok": true,
  "text": "# Extracted text in Markdown...",
  "layout_details": [[...]],
  "result": { "raw_api_response": "..." },
  "error": null,
  "source": "/path/to/file.jpg",
  "source_type": "file"
}

Key fields:

  • ok — whether extraction succeeded
  • text — extracted text in Markdown (use this for display)
  • layout_details — layout analysis details
  • result — raw API response
  • error — error details on failure

Error Handling

API key not configured:

Error: ZHIPU_API_KEY not configured. Get your API key at: https://www.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

Reference

  • references/output_schema.md — detailed output format specification

Comments

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