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Document Structure Extractor — Markdown to JSON outline

Turn Markdown documents into structured JSON: nested heading tree with section text, fenced code blocks, links, parsed tables, and size statistics. Pure parsing, no LLM cost.

Pricing

from $5.00 / 1,000 results

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Shinobu Otani

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a month ago

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Document Structure Extractor

Turn Markdown documents into structured JSON — heading tree, section text, code blocks, links, and parsed tables. Pure parsing, deterministic, no LLM cost.

What it does

For each input document it extracts:

Title (first # heading) and preamble text
Nested section tree: level, heading, body text, character counts, children — fenced code blocks never miscounted as headings
Code blocks with language tags and line numbers
Links ([text](url))
Tables parsed into header + rows
Stats: lines, characters, heading and code-block counts

Input

{
    "documents": ["# Guide\n\nIntro.\n\n## Setup\n\n```bash\npip install x\n```"]
}

Output (one dataset item per document)

{
    "title": "Guide",
    "sections": [
        {
            "level": 1, "heading": "Guide", "text": "Intro.",
            "children": [{"level": 2, "heading": "Setup", "...": "..."}]
        }
    ],
    "code_blocks": [{"lang": "bash", "code": "pip install x", "line": 7}],
    "links": [],
    "tables": [],
    "stats": {"lines": 9, "chars": 52, "headings": 2, "code_blocks": 1}
}

Typical uses

Building tables of contents / outlines for documentation sites
Feeding section-level structure into RAG ingestion pipelines
Auditing docs: section sizes, code-block coverage, dead-link candidates

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