逆方向の変換が必要ですか？
JSON to Markdown ConverterMarkdown 入力
JSON 出力
設定
Markdown to JSON options
Include intro
Include items
Include blockquotes
Include code blocks
Deduplicate lines
Markdown データを入力して JSON に変換
変換後のデータはここに表示されます
Markdown から JSON への変換
Markdown をアップロードなしで構造化 JSON に変換します
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Markdown（README / docs）を構造化 JSON に変換する方法（オンライン）
ステップ 1 – Markdown を貼り付け/アップロード
- README、GitHub Markdown、製品/API ドキュメントを .md / .markdown として貼り付けます。
- デモボタンで実例をすぐに読み込めます。
- アップロード不要のオンライン Markdown→JSON 変換として使えます。
ステップ 2 – 構造化 JSON を確認
- 見出しは階層ツリー（H1 → H2 → H3）として整理されます。
- リスト/入れ子リスト、引用、コードブロックは保持され、表はオブジェクト配列または 2D 配列に変換されます。
- Markdown→JSON のパイプラインや検索インデックス作成に便利です。
ステップ 3 – JSON をコピー/ダウンロード
- クリップボードへコピー、または .json としてダウンロードします。
- API ペイロード、検索インデックス、AI プロンプト、静的サイト生成、ドキュメント取り込みに活用できます。
- 出力をドキュメントとパイプラインの単一の真実（SSOT）として保持できます。
Quick tips
- Keep headings hierarchical (H1 → H2 → H3) to get a clean JSON tree.
- Code fences preserve the language tag for downstream syntax highlighting.
- Quotes and lists stay grouped, making it easy to rebuild Markdown/HTML or feed search indexes.
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よくある質問
Which Markdown elements are supported and how are they mapped to JSON?
Supported elements include headings (H1–H6) with hierarchical nesting, paragraphs, unordered/ordered lists and nested lists, blockquotes, fenced code blocks (language tag preserved), and tables (converted to object arrays when headers exist, otherwise 2D arrays). Key order and section order follow the original Markdown document.
Is this private and local? Do I need to upload my files?
Conversion runs entirely in your browser—no uploads. Copying or downloading the output does not send data to any server.
How are links and images handled? Will URLs be preserved?
Links like [Text](URL) become Text (URL), and images  become Alt (image: src, Title). This helps with search indexing and downstream parsing.
How do nested headings appear? Do you support hierarchical JSON?
Headings form a hierarchical tree, with child sections attached to their nearest parent heading. This is useful for sectioned product docs or specifications.
How are tables converted? Can I get an array of objects?
Tables with a header row become arrays of objects (keys from headers). Tables without headers degrade to 2D arrays.
How does it perform with large documents?
The parser is optimized for typical doc sizes. For very large content, consider converting chapter by chapter or in batches.
How do I export or download, and where can I use the JSON?
You can copy to clipboard or download a .json file. Popular uses include API payload generation, search index preprocessing, AI prompts, static site build pipelines, and docs ingestion.
Does it work with other formats?
Pair Markdown→JSON with XML→JSON, YAML→JSON, and JSON→YAML/XML to complete end-to-end pipelines for multi-source documentation and configuration transformations.