This repository provides a Claude Code skill that enables DeepSeek, a text-only model, to process images by routing them through a local Ollama vision model.

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Last updated

2026-07-10

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FR-AI / ANALYSIS

Why it is worth attention

It solves a practical limitation of DeepSeek by adding image understanding without relying on cloud-based multimodal APIs, keeping data local and private.

Who it is for

  • DeepSeek users who need to analyze images in conversations
  • Claude Code users looking to extend model capabilities
  • Developers wanting a lightweight, local multimodal bridge
  • Privacy-conscious AI enthusiasts who prefer on-premise solutions

Use cases

  • Describe or count objects in an image (e.g., people, items)
  • Extract text from screenshots or documents (OCR)
  • Identify products or scenes in pictures
  • Get detailed visual descriptions for accessibility or analysis

Strengths

  • Runs entirely locally via Ollama, preserving data privacy
  • Easy installation as a Claude Code skill or standalone script
  • Configurable model and Ollama endpoint, supporting multiple vision models
  • Simple architecture with a single core script and minimal dependencies

Considerations

  • Requires Ollama to be installed and running locally, adding setup overhead
  • Vision model (e.g., gemma4:e2b) must be downloaded separately
  • Performance and accuracy depend on the chosen Ollama vision model, which may be limited compared to larger cloud APIs

README quick start

安装 Ollama 并拉取模型

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