Parse AI responses into beautiful UI

Every developer building with LLMs rebuilds the same display layer. Convert walls of text into structured data and stunning components in three lines of code.

import { Readable } from '@readable-ai/react';

export default () => (
  <Readable 
    response={aiResponse} 
    renderer="cards" 
    theme="dark" 
  />
);

Why readable.ai

Zero Dependencies
Pure TypeScript parser. Works anywhere. npm, browsers, edge functions — it doesn't matter.
Fast Mode
Pattern-based detection handles metrics, actions, and insights in zero-dependency mode. Smart mode remains opt-in for Groq-backed parsing.
4 Renderers
Cards, Stats, Chat, Timeline. Dark/light themes. CSS variable theming for custom brands.

The Problem

Your LLM returns intelligent output. And you stare at a wall of unformatted text asking: "Now how do I show this to a user?"

You build it yourself. Every time. You write regex to find numbers. You map bullet points into JSX. You handle streaming. You repeat this for every new AI feature.

This is the equivalent of building your own button before you can ship a form. It's invisible work that produces no competitive advantage.

Before

✗ Call GPT-4, get 400 words of plain text

✗ Spend 3 days building display component

✗ Component breaks when LLM changes format

✗ Repeat for next AI feature

After

✓ Pass response to <Readable />

✓ Pick a renderer

✓ Ship in 20 minutes

✓ Parser adapts to output drift

The Solution

readable.ai is three things:

  • 1. Parser EnginePure TS function. Converts raw text into structured data.
  • 2. Renderer LibraryReact components. Pick your layout. Customize with CSS variables.
  • 3. Embed SystemScript tag. Works anywhere. No build step required.

Ready to ship AI features faster?

Try the playground with your own AI responses. Free forever for indie developers. Pro tier coming soon for teams.