qwencloud-vision

Name: qwencloud-vision
Availability: InStock
Author: QwenCloud

Analyze images and videos with QwenVL models for OCR and structured outputs.

36|Updated Mar 11, 2026

Search Tags:#ocr #image #multimodal #video #thinking #json #vision

Ready to run

npx skills add https://github.com/QwenCloud/qwencloud-ai --skill qwencloud-vision

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: qwencloud-vision
Source: https://github.com/QwenCloud/qwencloud-ai/tree/main/skills/vision/qwencloud-vision
Command: npx skills add https://github.com/QwenCloud/qwencloud-ai --skill qwencloud-vision

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires alibabacloud-oss-v2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Analyze images and videos using Qwen VL and VL-OCR models to understand scenes, extract text, answer questions, and produce structured outputs for automation and agents.

Core Features & Use Cases

Image and video understanding (including thinking-mode support) for descriptions, Q&A, and reasoning.
OCR text extraction with structured data outputs and language support.
Multi-image comparison and visual reasoning for charts, scenes, and visual problems.
JSON Schema or JSON object outputs for easy integration with pipelines and agents.

Quick Start

Describe an image or video by running python scripts/analyze.py with a prompt and the media file.

Frequently Asked Questions about qwencloud-vision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract text from images and videos using OCR?▼

To perform OCR text extraction, you can analyze media files with QwenVL models to extract text and output structured data. This process uses a valid API key and Python 3.9+ to execute the operation scripts.

Can I get structured JSON outputs from image understanding models?▼

Yes, image understanding with QwenVL models supports JSON Schema or JSON object outputs. This enables easy integration of extracted visual insights into automation pipelines and agents.

Do I need a specific Python version to run multimodal visual reasoning tasks?▼

Yes, multimodal visual reasoning tasks require Python 3.9 or higher. You must also configure a valid DASHSCOPE_API_KEY or QWEN_API_KEY to authenticate the QwenVL model requests.

What is the best way to compare multiple images and perform visual reasoning?▼

The best way to compare multiple images is using QwenVL models that support multi-image inputs. This allows you to perform visual reasoning across charts, scenes, and visual problems to produce actionable insights.

Does this approach support video understanding and scene analysis?▼

Yes, video understanding is fully supported alongside image analysis. You can analyze video inputs to generate descriptions, answer questions, and perform reasoning using thinking-mode support.

Why does my OCR and visual reasoning script require alibabacloud-oss-v2?▼

The OCR and visual reasoning scripts use alibabacloud-oss-v2 as a dependency to handle media file operations. This integration supports processing single or multi-image inputs and video files for structured outputs.