shouzi23333-rgb

shouzi23333-rgb / AiClip

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Intelligently cut UI designs and download assets for easy page reconstruction.

39
6
85% credibility
Found May 17, 2026 at 40 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

AiClip is a web-based tool that transforms UI screenshots into reusable asset packages. It uses artificial intelligence to automatically identify and extract visual elements like icons, illustrations, logos, and avatars from any uploaded interface screenshot. Users can review and adjust what was detected, then generate either AI-regenerated versions with transparent backgrounds or direct crops that preserve original pixels. The tool outputs a downloadable package containing transparent PNG assets and a reconstruction prompt that helps recreate the original UI layout.

How It Works

1
📱 You find a mobile app screen you want to recreate

You take a screenshot of an app interface that inspires you, whether it's a shopping app, social media, or any other design you admire.

2
📤 You upload your screenshot to the workspace

The tool loads your image and prepares it for analysis, showing you a preview of what you uploaded.

3
🤖 The AI automatically finds every visual element

In seconds, the system scans your screenshot and draws boxes around each icon, illustration, logo, and decorative element it discovers.

4
✏️ You review and fine-tune what was detected

You can click on any detected element to adjust its boundaries, rename it, or change how it should be processed. Elements that need extra attention get flagged for your review.

5
Choose how each asset should be extracted
🎨
AI Redraw (for icons, illustrations, decorations)

The AI regenerates the asset with a clean green background, which is then processed into a transparent PNG.

✂️
Direct Crop (for photos, logos, avatars)

The original pixels are cut out directly, preserving the exact original appearance.

6
✨ Generate your asset package

With one click, the tool processes all your selected elements and creates individual transparent PNG files ready to use.

📦 You download a complete asset package

You receive a zip file containing all your transparent PNG assets, along with a reference prompt that helps you or an AI assistant recreate the original UI layout.

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AI-Generated Review

What is AiClip?

AiClip takes a UI screenshot and automatically extracts every visual asset into a downloadable package. Upload a design, and the app identifies icons, illustrations, avatars, logos, and decorations using AI. It then slices those assets and redraws them on a clean green background, processing the result into transparent PNGs ready for reconstruction. The output includes the original image, individual asset files, metadata, and a ready-to-use prompt that tells an AI coding agent exactly how to rebuild the UI with those assets.

Built with TypeScript and Next.js, with a Python script handling the chroma-key background removal. The workflow runs entirely in a browser-based annotation workspace where you can review, adjust, or delete detected elements before generating assets.

Why is it gaining traction?

The killer feature is the reconstruction prompt. Instead of just dumping PNGs, AiClip packages everything with instructions that tell a coding agent to prefer the extracted assets over icon libraries or redraws. This directly targets AI-assisted development workflows where agents need precise guidance.

Two processing modes handle different asset types intelligently. Icons and illustrations go through AI chroma redraw for clean edges, while product photos and avatars use direct crop to preserve original pixels. The manual review step catches AI mistakes before they become problems.

Who should use this?

Frontend developers rebuilding UIs from design screenshots will get the most value. Teams running AI coding agents in their pipeline can attach the asset package directly to agent tasks. Designers who want to extract icons or illustrations from existing interfaces without manually tracing them will find the workflow faster than alternatives.

Not ideal for simple asset extraction -- basic screenshot tools exist for that. The AI-powered workflow shines when you need the reconstruction prompt and asset metadata for automated rebuilds.

Verdict

AiClip solves a specific niche in the design-to-code pipeline with a thoughtful workflow. The reconstruction prompt feature is genuinely useful for AI agent workflows, and the dual processing modes handle different asset types appropriately.

That said, the credibility score of 0.85% reflects real concerns: only 39 stars, limited community feedback, and the project is clearly early-stage. You'll need API keys for GPT-5.5 and gpt-image-2 to run the full pipeline, adding cost and dependency on external services. Test coverage exists but the project lacks the polish of mature tools.

Worth evaluating for AI-assisted reconstruction workflows, but treat it as an experimental tool rather than production infrastructure.

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