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Glmocr

ASecurity

Extract text from images using GLM-OCR API. Supports images and PDFs with

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  • Added October 6, 2026
ai-agentspythonbashgitapisecurity

Works with

  • cli
  • api

Security analysis

A100/100

Scanned October 6, 2026

npx -y skills add Kairos-ai-agent/kairos-code --skill glmocr --agent claude-code

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SKILL.md
---
name: "glmocr"
description: "Extract text from images using GLM-OCR API. Supports images and PDFs with"
priority: 0.5
imported-from: "hermes"
source-path: "hermes/skills/glmocr/SKILL.md"
---
# 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](https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys) |
| **GitHub** | [https://github.com/zai-org/GLM-OCR](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 ⛔**

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](https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys)
2. 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

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