- name
- ollama-ocr
- description
- Use Ollama's vision/OCR models to recognize text from images. Supports glm-ocr, llava, moondream, and llama3.2-vision models. Ideal when you need local offline OCR without relying on cloud APIs.
- metadata
Ollama OCR Skill
Use this skill when you need to recognize text from images using Ollama's local vision/OCR models. No internet required - fully offline OCR.
When to Use
- User sends an image and wants text extraction
- User asks to recognize text from a screenshot or picture
- Need local offline OCR without cloud API dependency
- Processing sensitive images that shouldn't be sent to third parties
Models Available
| Model | Best For | Size |
|---|---|---|
glm-ocr:latest | Chinese text OCR | ~2.2GB |
llava:7b | General image understanding | ~4.7GB |
moondream | Lightweight vision model | ~1.5GB |
llama3.2-vision:latest | Large vision model | ~7GB+ |
Ollama Endpoint
Default: http://172.17.0.2:11434 (Docker container to host gateway)
Note: Endpoint is pre-configured for OpenClaw running in Docker accessing host Ollama. Adjust OLLAMA_HOST in ollama_ocr.py if your setup differs.
Usage
Command Line
python3 ollama_ocr.py /path/to/image.jpg [model_name]Examples:
python3 ollama_ocr.py receipt.png glm-ocr:latest
python3 ollama_ocr.py screenshot.jpg llava:7bPython API
from ollama_ocr import ollama_ocr
# Basic OCR with default model (glm-ocr)
result = ollama_ocr('/path/to/image.jpg')
# Specify model
result = ollama_ocr('/path/to/image.jpg', 'glm-ocr:latest')
print(result)Example Prompts to Activate This Skill
- "识别这张图片里的文字"
- "帮我 OCR 一下这个截图"
- "Extract text from this image"
- "What text is in this screenshot?"
Notes
- Image path must be absolute or relative to script location
- For large images, consider resizing first to avoid timeout
glm-ocrworks best for Chinese text- Some models may have output quirks (e.g., glm-ocr occasionally repeats)
- First call may be slow if model isn't cached in memory
Requirements
- Ollama installed and running
- At least one vision/OCR model downloaded (e.g.,
ollama pull glm-ocr:latest)