Bridging the Gap: Mastering Markdown Rendering in Jetpack Compose
Why standard Text isn't enough, the architecture of a performant renderer, and handling the "hidden" challenges of rich text.
Markdown has become the “lingua franca” of digital text. Whether you are building a documentation tool, a developer-centric app, or integrating an AI chatbot like Gemini, Markdown is the go-to format for content delivery.
But here is the catch: Jetpack Compose was not inherently built for Markdown. While Compose provides Text and AnnotatedString, it lacks a native engine to transform raw Markdown into UI.
Why Markdown is Winning the UI War over HTML
If you’re wondering why we don’t just use a WebView or HTML, the answer lies in Theming and Performance:
- Safety from “Theme-Breakers”: HTML often contains hardcoded styles. In a dark mode app, a
<span style="color:black">makes your text invisible. Markdown is style-agnostic, giving your app 100% control over the theme. - LLM Native: Gemini, GPT-4, and Claude output Markdown by default. Using it natively prevents “hallucinated” HTML tags from breaking your layout.
- The “Native” Feel: WebViews are memory-heavy and don’t share the same scroll physics or selection behavior as the rest of your Compose app.
The Architecture: Parsing vs. Rendering
To build a high-performance renderer, you must separate the Logic from the UI.
1. Parsing (The “Heavy” Work)
Parsing a raw string into an Abstract Syntax Tree (AST) is CPU-intensive. Never do this directly inside a Composable function. While you might reach for LaunchedEffect, remember that it runs on the Main dispatcher by default.
The Pro Move: Offload the parsing to Dispatchers.Default using withContext to avoid dropping frames.
// Using delegated properties for cleaner state access
var ast by remember(markdownInput) { mutableStateOf<RootNode?>(null) }
LaunchedEffect(markdownInput) {
// Explicitly move to a background thread to keep the UI buttery smooth
val parsedDoc = withContext(Dispatchers.Default) {
MarkdownParser.parse(markdownInput)
}
ast = parsedDoc
}2. Rendering (The “UI” Work)
Once you have the AST, you traverse it to emit UI components:
- Blocks (Lists, Quotes, Headers): Map these to
Column,Row, orLazyColumnitems. - Inlines (Bold, Italic, Links): Transform these into
AnnotatedStringspans.
Enhanced Implementation: Code Blocks & Syntax Highlighting
Unlike standard text, code blocks require specific background styling and (usually) syntax highlighting. Note that Compose does not have built-in syntax highlighting — you must provide a lexer or tokenizer.
@Composable
fun MarkdownCodeBlock(code: String, language: String?) {
Surface(
color = MaterialTheme.colorScheme.surfaceVariant,
shape = RoundedCornerShape(8.dp),
modifier = Modifier
.fillMaxWidth()
.padding(horizontal = 8.dp, vertical = 4.dp) // Scannable, idiomatic padding
) {
Column(modifier = Modifier.padding(12.dp)) {
language?.let {
Text(
text = it.uppercase(),
style = MaterialTheme.typography.labelSmall,
color = MaterialTheme.colorScheme.secondary
)
}
Text(
text = code, // In production, replace with a highlighted AnnotatedString
fontFamily = FontFamily.Monospace,
style = MaterialTheme.typography.bodyMedium
)
}
}
}The “Hidden” Challenges: What’s still hard?
Even for senior devs, two areas remain “work-in-progress” in the Compose ecosystem:
- The Inline Background Problem:
AnnotatedStringcan change text background color, but it cannot currently add rounded corners or horizontal padding to a single inline word (likecode_snippets). Solving this often requires customLayoutlogic or waiting for future API updates. - Rich Text Editing: While we can render Markdown easily, building a “What You See Is What You Get” (WYSIWYG) editor is tougher.
BasicTextFielddoesn’t yet natively support complex inline composables (like images) during active text entry.
Pro-Tip: The Jewel Library
If you are building for the Desktop, look at Jewel. Created by JetBrains, it’s the engine behind the Markdown rendering in IntelliJ IDEA and Android Studio’s Gemini side-panel. It handles complex focus rings and “Editor Mode” reparsing out of the box.
Frequently Asked Questions (FAQs)
How do I handle very long Markdown files?
Use a LazyColumn. Instead of one massive Text block, map your Markdown AST blocks (Paragraphs, Headers, Lists) into separate items in the LazyColumn. This ensures you only render what is visible on the screen.
Can I use syntax highlighting like in VS Code?
Yes, but you’ll need a third-party tokenizer — such as Tree-sitter (with Kotlin bindings) or a regex-based lexer — to convert the code string into an AnnotatedString with different SpanStyles.
Why not just use Html.fromHtml()?
fromHtml() is an old Android View-system utility. It returns a Spanned object, which doesn't always translate perfectly to Compose's AnnotatedString, and it lacks the structural flexibility of a full AST.
Join the Conversation
- What is your biggest frustration with
AnnotatedStringtoday? - Have you experimented with the Jewel library for multi-platform apps?
- Would you like a follow-up on building a custom Lexer for syntax highlighting in Compose?
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