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VLM

Analyze images, videos, and documents via vision-enabled AI chat completions.

Updated Apr 7, 2026
Search Tags:#ocr#visual content#vision ai#image analysis#backend integration#multimodal chat#z-ai sdk
One-click install
npx skills add https://github.com/felipesantiago-coder/fluxo-quadra --skill vlm-felipesantiago-coder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: VLM
Source: https://github.com/felipesantiago-coder/fluxo-quadra/tree/main/skills/VLM
Command: npx skills add https://github.com/felipesantiago-coder/fluxo-quadra --skill vlm-felipesantiago-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

Manually analyzing images, extracting text from visuals, and answering questions about visual content is time-consuming and requires specialized tools. This Skill eliminates that friction by enabling automated vision-based AI chat for any visual input.

Core Features & Use Cases

  • Multimodal Visual Analysis: Supports image URLs, base64-encoded images, videos, and document files for flexible input handling.
  • Common Use Cases: Automate e-commerce product tagging, extract text from images via OCR, compare visual content for differences, and generate accessibility alt text for web content.
  • Example: A marketing team can use this Skill to automatically generate descriptive captions for hundreds of product images in minutes, replacing hours of manual work.

Quick Start

Use the VLM skill to analyze the image at https://example.com/product.jpg and generate a detailed product description for the e-commerce listing.

Frequently Asked Questions about VLM

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

FAQPage Schema
How do I extract text from images using AI for backend processing?▼

Extract text from images by passing image URLs or base64 data to vision-enabled AI chat completions. This process handles OCR text extraction and visual content analysis entirely within backend code.

What is the best way to generate alt text for web images automatically?▼

Generate alt text automatically by sending visual inputs to a multimodal AI model. This approach produces descriptive captions for digital content, making web images accessible in minutes.

Can I use z-ai-web-dev-sdk to analyze videos and documents?▼

The z-ai-web-dev-sdk supports analyzing videos, documents, and images via multimodal inputs. You can process these formats exclusively in backend code to generate descriptions or answer questions.

How do I automate e-commerce product tagging from visual content?▼

Automate e-commerce product tagging by feeding product images into vision AI chat completions. The model analyzes the visual content to generate detailed descriptions and tags for your listings.

Does vision AI for image analysis require frontend code?▼

Vision AI image analysis does not require frontend code because the z-ai-web-dev-sdk operates exclusively in backend environments. This ensures secure processing of multimodal inputs via chat completions.

How do I compare visual differences between two images?▼

Compare visual differences by submitting multiple images to a vision-enabled AI chat completion. The model analyzes the visual content to identify and describe the distinctions between the provided images.

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