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Ollama OCR

调用本地 Ollama 的视觉/OCR 模型（glm-ocr、llava、moondream、llama3.2-vision），通过 Python 脚本或 Python API 从图片中识别并提取文字，无需云端 API；默认端点为便于在 Docker 中运行的宿主 Ollama 访问而预配置。

hongjiahao371-pixel
hongjiahao371-pixel
热度 67.80
最近更新 2026-05-11 17:33:53
分类：效率依赖：代码执行 / 读写文件 / 第三方 API / 内部调用大模型应用场景：数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add ollama-ocr
Metadata
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
{"author":"hongjiahao371-pixel","version":"1.0.0","openclaw":{"description":"Local Ollama OCR for image text recognition","examples":["recognize text from image","extract text from screenshot","OCR this picture"]}}

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:7b

Python 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-ocr works 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)