StarDxxx

StarDxxx / ai-frame

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Frame your AI conversations as beautiful, shareable image cards.

ai-frame-umber.vercel.app
72
0
89% credibility
Found May 18, 2026 at 77 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

AI Frame is a free web tool that turns your conversations with AI assistants (ChatGPT, Claude, or DeepSeek) into polished, shareable card images. You import a chat by pasting a link or uploading a text file, select the parts you want to keep, edit and style them with different themes and fonts, then export a high-resolution image ready to post on social media or messaging apps. The tool supports multiple visual styles including editorial cards, chat app interfaces, and native AI looks, with options to customize colors, text formatting, and card sizes for different platforms like Xiaohongshu or Douyin.

How It Works

1
💬 You have a conversation worth sharing

You had an interesting exchange with an AI assistant that you want to show to friends or post online.

2
📋 You paste the link or upload your text

Drop in a share link from your AI chat, or upload a simple text file with your conversation.

3
✂️ You pick the moments that matter

The app shows you every exchange, and you choose which parts to keep for your card.

4
✏️ You polish and personalize it

Edit the text, blur anything private, change the colors, pick a font, and adjust the size until it looks just right.

5
You choose how it looks
🖼️
Editorial card

A clean, magazine-style card with custom themes like graphite, sky blue, or ocean teal.

💬
Chat app style

Looks like WeChat, WhatsApp, or iMessage — perfect for sharing in those apps.

🤖
Native AI look

Mimics the original ChatGPT, Claude, or DeepSeek interface for authenticity.

6
👀 You see it come to life instantly

The preview updates as you make changes, so you always know exactly what you're getting.

📤 You download a beautiful image, ready to share

With one click, you get a high-quality picture that's perfect for posting anywhere.

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AI-Generated Review

What is ai-frame?

AI Frame transforms AI conversations into polished, shareable image cards. You paste a share link from ChatGPT, Claude, or DeepSeek (or drop a text file), select the best exchanges, edit and style them, then export a high-resolution PNG ready for social media. The tool runs as a Next.js web app with a split-panel interface: edit on the left, preview on the right. It supports three card themes, multiple export dimensions optimized for platforms like Xiaohongshu and Douyin, and rich text editing including bold, italic, and redaction. The interface is available in English, Chinese, and Japanese.

Why is it gaining traction?

The hook is specificity. Developers and creators want to share AI conversations without ugly screenshots, and AI Frame delivers that with one-click export at platform-native resolutions. The ability to switch between editorial card layouts and pixel-perfect recreations of ChatGPT, Claude, and WeChat interfaces gives it flexibility that generic screenshot tools lack. Text file import without requiring API credentials removes friction for users who just want to format and share.

Who should use this?

Content creators and developers who share AI conversations on social platforms and want them to look intentional rather than captured. Tech bloggers tired of inconsistent screenshots. Teams that want to create polished examples of AI interactions for documentation or marketing. Anyone posting to Xiaohongshu, Douyin, or similar platforms where visual quality matters.

Verdict

AI Frame solves a real workflow problem with clean execution. The feature set is complete for its scope, and the multi-platform export options show thoughtful design. However, with a credibility score of 0.8999999761581421% and only 72 stars, this is an early-stage project with limited community validation. No test coverage is visible, and the reliance on Puppeteer for scraping means maintenance could become fragile if platform APIs change. Worth trying for the specific use case, but do not depend on it for mission-critical workflows without evaluating the maintenance risk yourself.

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