Build Interactive 3D Worlds With GPT-6 & Blender
Free tool
Upload a UI screenshot or mockup. Claude vision recreates it as a clean React component styled with Tailwind CSS. Copy the code, paste into your project, ship.

PNG, JPEG, WEBP, or GIF. Maximum 1 MB. Your image is sent to Claude for one inference and is never stored.
You upload a UI screenshot or paste a base64 image. The image is sent to Anthropic's Claude vision model with a prompt that asks for a single React component using Tailwind CSS. The generated TSX is returned and shown with a copy button.
No. The image is forwarded to the model for one inference and discarded. We do not log, cache, or persist uploaded images.
1 MB per image. PNG, JPEG, WEBP, and GIF are supported. Larger files are rejected to keep the tool fast and inexpensive.
Yes. Each IP gets 5 requests per 15 minute window. Vision inference is more expensive than text, so we cap usage to keep the tool free.
The output is a strong starting point that captures layout, spacing, color, and component structure. Expect to refine details, swap placeholder assets, and wire up real data and state.
A current Claude vision model. The default targets the latest Sonnet release for a balance of cost and quality.
One email a week. Tutorials, open source projects, and free dev tools. No spam.
Blog
Weekly Highlights: Cheaper Tokens, Higher Stakes
The 7 AI developer stories that actually mattered this week - ranked, linked, and cut for builders.
Blog
Weekly Highlights: Cheaper Agents, Harder Questions
The 7 AI developer stories that actually mattered this week - ranked, linked, and cut for builders.
Blog
Anthropic Cuts Fable 5 Biology Fallbacks by 85%: What the Safeguard Tuning Means for Developers
Anthropic retuned Claude Fable 5's biology classifiers on August 7, cutting biology-related fallbacks by about 85% while keeping dual-use domains like virology, toxicology, and molecular design routed to Opus 5. Here is what changed, what stays blocked, and what it means for Claude Code and API users.
Blog
TutorMoments: AI2's New Benchmark Shows LLM Tutors Over-Help by Default
AI2 released TutorMoments, a replay-based benchmark that drops seven LLMs into real math tutoring transcripts and scores whether they scaffold when help is needed or push for rigor when the student can do more. The default finding: models over-help, and spelling out the trade-off in the prompt lifts every score but does not close the gap to a consistent human call.