Streamdown
AI-powered Markdown streaming for React applications
Streamdown Overview
Streamdown is a specialized React component designed as a drop-in replacement for react-markdown, optimized for AI-powered streaming applications. It solves the unique challenges of tokenizing and streaming Markdown content in real-time while maintaining perfect formatting and security. Developed by Vercel as part of their AI Elements suite, Streamdown powers the Response component but is also available as a standalone package. The tool is particularly valuable for developers building AI chat interfaces, documentation systems, or any application requiring real-time Markdown rendering with enhanced features beyond standard Markdown processors.
Streamdown Screenshot
Streamdown Official screenshot of the tool interface
Streamdown Core Features
Built-in Typography Styles
Streamdown comes with pre-configured Tailwind classes for all common Markdown elements including headings, lists, code blocks, and more. This ensures consistent, beautiful typography without additional CSS configuration.
GitHub Flavored Markdown Support
Supports GitHub's extended Markdown syntax (GFM) including task lists, tables, and other advanced formatting options out of the box, making it ideal for technical documentation.
Interactive Code Blocks
Utilizes Shiki for syntax highlighting with a built-in copy button functionality. Code blocks are both visually appealing and functional, with hover-to-reveal copy actions for better UX.
Mathematical Expressions
Supports LaTeX math expressions through remark-math and KaTeX integration, enabling beautiful mathematical notation in streaming content - perfect for educational or scientific applications.
Mermaid Diagram Support
Can render streaming Mermaid diagrams with a simple render button, transforming code blocks into visual diagrams when activated by users.
Unterminated Markdown Handling
Special parsing for incomplete Markdown syntax during streaming (unclosed code blocks, lists, etc.), ensuring clean rendering even with partial content.
Security Hardening
Includes built-in protections against prompt injection attacks by controlling image and link origins, with configurable allowlists for trusted domains.
Streamdown Use Cases
AI Chat Interfaces
Streamdown is perfect for AI chat applications where responses need to be streamed token-by-token while maintaining proper Markdown formatting for code snippets, lists, and other structured content.
Technical Documentation
Ideal for rendering live-updating documentation with code examples, mathematical notation, and diagrams that need to appear progressively as content loads.
Educational Platforms
Enables streaming of tutorial content with interactive code samples, mathematical formulas, and visual diagrams that render as the lesson progresses.
How to Use Streamdown
Install Streamdown via npm by running either `npm i streamdown` or use it through AI Elements with `npx ai-elements add response`.
Import Streamdown in your React component (must be marked 'use client' for Next.js applications). The basic import syntax is `import { Response } from '@/components/ai-elements/response'`.
Configure your Tailwind CSS by adding `@source "../node_modules/streamdown/dist/index.js";` to your globals.css file to apply the built-in styles.
Use Streamdown in your chat interface or streaming component by wrapping text content with the <Response> component, which will automatically handle the Markdown parsing and streaming.
Customize the component using available props like allowedImagePrefixes, shikiTheme, or remarkPlugins to tailor the behavior to your specific security and styling needs.