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MiniChan Code-from-Image (NVIDIA NIM MiniMax-M3)
x402
MiniChan Code-from-Image (NVIDIA NIM MiniMax-M3) is a paid API for AI agents from minichan.vercel.app, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-15).
Analyzes an image URL and generates corresponding source code using NVIDIA NIM's MiniMax-M3 428B MoE multimodal model
Price / call$0.2
Success—
StatusUnknown
How this service works
NVIDIA NIM MiniMax-M3 (428B MoE) powered API for AI agents. 15 multimodal endpoints — text, vision, code, reasoning, creative. Pay with USDC on Base via x402.
Output
A JSON object containing generated source code derived from analyzing the provided image, likely including code snippets, language identification, and implementation details based on the visual content of the image.
Example use cases
Example prompt
“Look at this screenshot of a login form — https://example.com/login-mockup.png — and generate the HTML, CSS, and JavaScript code to build it.”
Technical details
Endpoint
POSThttps://minichan.vercel.app/api/code-from-imageWhen to prefer
Choose this endpoint when you need to convert visual representations — screenshots, wireframes, mockups, diagrams, or whiteboard photos — directly into source code using a powerful 428B parameter multimodal model. Prefer this over generic OCR or simpler vision models when you need actual runnable code output rather than text extraction. Ideal for developers automating UI-to-code workflows or reverse-engineering interfaces from images.
Side effects
- Invalid or inaccessible image URL returns an error
- Image content not interpretable as code-related visual returns generic or empty code
- Payment failure via x402/USDC on Base blocks the request
- Model timeout on complex images with large MoE inference
- Unsupported image format or corrupted image URL
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| image_urlrequired | string | URL of the image to analyze |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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