역변환이 필요하신가요?
JSON to Markdown ConverterMarkdown 입력
JSON 출력
설정
Markdown to JSON options
Include intro
Include items
Include blockquotes
Include code blocks
Deduplicate lines
Markdown 데이터를 입력하여 JSON(으)로 변환하세요
변환된 데이터가 여기에 표시됩니다
Markdown를 JSON으로 변환
업로드 없이 Markdown를 구조화된 JSON으로 변환
Ctrl+D 을 눌러 이 도구를 북마크하세요
Markdown(README, 문서)을 구조화된 JSON으로 변환하는 방법(온라인)
1단계 – Markdown 붙여넣기/업로드
- README, GitHub Markdown, 제품/API 문서를 .md 또는 .markdown으로 붙여넣으세요.
- 데모 버튼으로 실제와 유사한 콘텐츠를 즉시 불러올 수 있습니다.
- 업로드 없이 온라인 Markdown→JSON 변환기로 동작합니다.
2단계 – 구조화 JSON 확인
- 제목은 계층 트리(H1 → H2 → H3)로 정리됩니다.
- 목록/중첩 목록, 인용문, 코드 블록은 유지되며, 표는 객체 배열 또는 2D 배열로 변환됩니다.
- Markdown→JSON 파이프라인과 검색 인덱싱에 유용합니다.
3단계 – JSON 복사/다운로드
- 클립보드로 복사하거나 .json 파일로 다운로드하세요.
- API payload, 검색 인덱스, AI 프롬프트, 정적 사이트 빌드, 문서 수집에 사용할 수 있습니다.
- 출력을 문서/파이프라인의 단일 진실원(SSOT)으로 유지하세요.
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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자주 묻는 질문
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.