Glmocr

Organization

zai-org

glmocr

Extract text from images using GLM-OCR API. Supports images and PDFs with high accuracy OCR, table recognition, formula extraction, and handwriting recognition. Use this skill whenever the user wants to extract text from images, perform OCR on pictures, scan documents, convert images to text, or process any image files to get their textual content.

Overview

Publisher	zai-org
Repository	`GLM-skills`
Skill name	`glmocr`
Stars	476
Forks	45
Bundled files	4
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by zai-org on GitHub. Read the source before you install it.

Installation

Install the Glmocr AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/zai-org/GLM-skills.git /tmp/GLM-skills
mkdir -p .claude/skills
cp -r /tmp/GLM-skills/skills/glmocr .claude/skills/glmocr

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Glmocr in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Glmocr on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Glmocr is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Resource	Link
Get API Key	https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys
GitHub	https://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 ⛔

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

Setup

Get your API key: https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys

Configure:

bash
python scripts/config_setup.py setup --api-key YOUR_KEY

How to Use

Extract from URL

bash
python scripts/glm_ocr_cli.py --file-url "URL provided by user"

Extract from Local File

bash
python scripts/glm_ocr_cli.py --file /path/to/image.jpg

Save result to file (recommended)

bash
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]

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

Response Format

json
{
  "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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Glmocr AI skill do?

Why use Glmocr on TypingMind?

Because you install it once and use it with any model. Glmocr is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Glmocr in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Glmocr?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Glmocr?

As many as you like. As long as a model supports skills, you can use Glmocr with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Glmocr AI skill free?

Yes. It is published on GitHub by zai-org under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

GLM-OCR Text Extraction Skill

When to Use

Key Features

Resource Links

Prerequisites

Security Notes

Setup

How to Use

Extract from URL

Extract from Local File

Save result to file (recommended)

CLI Reference

Response Format

Error Handling

Reference

Bundled files

Frequently asked questions

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