Qwen3-VL Cookbooks - A Multimodal Task Development Guide from Alibaba

What are Qwen3-VL Cookbooks?

Qwen3-VL Cookbooks are designed by Alibaba for the Qwen3-VL model.practicalA collection of guides to help usersfastMaster and apply the various functions of this model. The collection covers use cases for a variety of capabilities, including object recognition, document parsing, video understanding, and spatial understanding.MultimodalCoding, etc. Each Cookbook provides detailed code examples and operating steps, allowing users to learn through the examples.fastLearn how to use the Qwen3-VL model in real-world scenarios to better leverage its capabilities.powerfulVisual-language ability.

Main functions of Qwen3-VL Cookbooks

• Provide detailed operation guideHelping usersfastLearn how to use the Qwen3-VL model for various tasks.
• exhibitMultimodalTask implementation methodThrough concrete examples, guide users on how to combine images, videos, and text.MultimodalThe data has completed its task.
• Optimize model usage process:supplyHigh efficiencyThe processing flow and code examples help users improve development and deployment efficiency.
• Supports multiple application scenariosIt covers a variety of scenarios, from object recognition to document parsing and video understanding, to meet different needs.
• Provide performance optimization suggestionsIt helps users optimize model performance for specific tasks, improving inference speed and efficiency.

Qwen3-VL Cookbooks covers the following content

• Omni RecognitionIt can identify a variety of objects, including animals, plants, people, scenic spots, and various commodities.
• Powerful Document Parsing CapabilitiesParse the text and its layout in a document, supporting Qwen HTML format.
• Precise Object Grounding Across FormatsUse relative coordinates to locate targets in an image, supporting bounding box and point annotation.
• Multilingual OCR and Key Information ExtractionSupports OCR in 32 languages and can recognize text in low-light, blurry, and tilted scenes.
• Video UnderstandingIt supports video OCR and long video understanding, and can perform video content analysis.
• Mobile Agent (Mobile) Agent)It helps users control their mobile phone operations through visual positioning and reasoning.
• Computer-Use Agent Agent)It helps users control computer and web page operations through visual positioning and reasoning.
• 3D GroundingProvides accurate 3D bounding boxes for indoor and outdoor objects.
• Thinking with ImagesEnhance the model's understanding of image details using image scaling and search tools.
• MultimodalMultiModal CodingGenerate HTML, CSS, and JS code from images and videos.
• Long Document UnderstandingAchieve rigorous semantic understanding of extremely long documents.
• Spatial understanding: Observe, understand, and infer spatial information in images and scenes.

Qwen3-VL Cookbooks Project Address

• GitHub repository: https://github.com/QwenLM/Qwen3-VL/tree/main/cookbooks

Application scenarios of Qwen3-VL Cookbooks

• Object recognition:existintelligentIn security,fastIdentify suspicious persons or objects in surveillance footage to improve the efficiency of security monitoring.
• Document parsingIn the financial industry,automaticExtract key clauses and data from contract texts to improve contract review efficiency.
• Precise target positioning:existautomaticWhile driving, it accurately identifies and locates traffic signs and obstacles on the road to ensure driving safety.
• Multilingual OCR and Key Information Extraction:existintelligentCustomer service is in progress.fastRead user-uploaded multilingual documents and extract key information to improve service efficiency.
• Video UnderstandingIn the education field, for online course videosautomaticSubtitles are generated to facilitate student learning.

KAT-Dev-72B-Exp - Kuaishouopen sourceprogramming model

Paper2Video - A demonstration video project for generating academic papers launched by a national university.