Analyze images and videos with Qwen Vision models for OCR and visual reasoning.
npx skills add https://github.com/QianWen-AI/qianwen-ai --skill qianwen-vision
Please help me install this Agent Skill. Skill: qianwen-vision Source: https://github.com/QianWen-AI/qianwen-ai/tree/main/skills/vision/qianwen-vision Command: npx skills add https://github.com/QianWen-AI/qianwen-ai --skill qianwen-vision
Analyzes images and videos using Qwen Vision models to produce descriptions, extract text, and reason about visual content, enabling AI agents to understand and act on visual data.
Describe this image or video by providing a clear prompt, for example "Describe this chart" to begin.
High-intent search queries and answers about installing and using this skill.
You can extract text from images using OCR and visual reasoning by running local Python scripts like ocr.py and reason.py, which utilize Qwen Vision models to analyze visual data and output extracted text or structured insights.
Yes, Qwen Vision models support multi-image comparisons and complex scene understanding. The local script suite enables agents to analyze multiple images simultaneously, producing descriptions and optional JSON Schema outputs for automated pipelines.
The best way to perform video analysis is by using a multimodal skill that processes visual data with Qwen Vision models. It enables agents to understand video content, extract text, and reason about visual scenes to produce actionable insights.
Yes, this visual analysis approach supports optional JSON Schema outputs. By using the local script suite with Qwen Vision models, you can generate structured data from images and videos to feed directly into automated pipelines.
Yes, you need Python 3.9 or higher to run the local script suite for image and video understanding tasks. The scripts require OpenAI-compatible API access via a configured provider to execute visual reasoning and OCR.
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