dsh-tool-vision

Many advanced language models, such as DeepSeek and GLM, are inherently text-only and cannot directly interpret visual content. This limitation restricts their utility in vision-centric tasks and introduces privacy and cost concerns. If you run local vision language models but are constrained to using text-only LLMs, this plugin is the perfect solution for you.

dsh-tool-vision empowers your text-only models with instant "vision" capabilities. By connecting to local vision language models (like LM Studio or Ollama), it achieves zero API costs and fully local inference. What stands out is its ability to generate structured JSON evidence rather than vague descriptions. It forces the model to output summaries, OCR text, layout structures, and semantic relations. This design not only enhances information extraction accuracy but also features an anti-hallucination mechanism that lists uncertain items explicitly.

Whether you are a privacy-conscious data analyst or a researcher needing to process sensitive documents on a local workstation, this plugin is highly effective. It is ideal for scenarios requiring precise extraction of structured data from screenshots, document images, or charts. With simple configuration, you can let your model read and analyze images like an expert, without uploading any data to the cloud.