Prompt to Markdown formatter
A long prompt written as one paragraph is hard to read and harder to maintain. Reformatting it with Markdown — headings for each section, bullets for lists, fenced blocks for examples — makes the structure explicit for both you and the model. This tool takes your raw text and produces clean, sectioned Markdown automatically.
How it works
The formatter splits your prompt on blank lines into blocks and infers a role
for each: a short opening line becomes a Role statement, blocks describing
background become Context, numbered or dashed lines become a Steps list,
and instructions about the answer shape become Output. Each section gets an
## heading, list-like content is converted to - bullets, and the rest stays
as prose.
If automatic naming guesses wrong, supply section hints — a comma-separated list of labels — and the formatter will use those names in order instead. The result is portable Markdown that renders cleanly in ChatGPT, Claude, and most note tools.
Tips and notes
Break your ideas onto separate lines or paragraphs before pasting; the cleaner the input structure, the better the headings. Keep each bullet to a single instruction — splitting compound sentences into separate bullets reduces the chance the model skips one. Put the Output section last so the format rules are the final thing the model reads before responding. For Claude-heavy workflows, also try the XML formatter and keep whichever your target model follows more faithfully.