JSON to
Markdown
Convert JSON to a Markdown table or nested list. The tool picks the format that matches your data's shape.
Documenting an API or config in a GitHub repo?
md0 CMS turns your repo's markdown into a visual editor, so the docs you build from JSON payloads stay easy to maintain without hand-editing raw files.
How mode detection works
Table mode
Applies automatically when your JSON is an array of flat objects, with no nested objects or arrays as values, forming a typical list of records. Each object becomes a table row.
List mode
Applies to everything else: nested objects, mixed arrays, or a single object. Renders as indented - key: value bullets, with arrays becoming sub-lists.
Why convert JSON to markdown?
JSON suits machines, not readers. Converting an API response or a config file to Markdown produces a format that reads cleanly in a PR description, a doc, or a chat message, and gives an LLM a more token-efficient format to reason over than raw JSON syntax.
Documenting an API response
You are writing API docs and want to show what a typical response looks like. A table of fields and example values reads faster than a wall of braces and brackets, especially in a README or a wiki page. Paste a sample response here and drop the resulting table straight into your docs.
Pasting data into a GitHub issue or PR
You want to share an API payload or error response in a bug report, but a raw JSON blob is hard to scan in a comment box. GitHub renders Markdown tables and lists directly, so a converted payload stays readable. Reviewers can scan the fields at a glance instead of hunting through nested braces.
Summarizing config or data files for a report
A stakeholder who does not read JSON needs to understand what a config file or data export contains. A short Markdown table communicates its contents far faster than the raw JSON would, and it pastes cleanly into a status update or a slide.
Feeding structured data into an LLM
You are building a prompt that includes a JSON object as context, and every extra token counts toward cost and context budget. A Markdown table uses fewer tokens than the equivalent JSON, which lowers cost and leaves more room for the rest of the prompt.
Frequently asked questions
What if the auto-detected mode is wrong?
Use the table or list buttons above the input to force a specific mode regardless of what was auto-detected. If the forced mode doesn't fit your data, the tool shows a warning but still converts using your choice.
What happens with invalid JSON?
The tool shows an inline error message instead of converting silently or crashing. When the browser's JSON parser reports a position, the error includes the line and column where parsing failed.
Is my data uploaded anywhere?
No. Parsing and conversion happen entirely in your browser.
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