v0.0.1 Public Beta

TURN DOCS
INTO DATA.

Convert multi-page documentation into clean, structured Markdown. Optimized for LLM context windows and RAG pipelines.

* Deterministic conversion. No AI hallucinations.

SYSTEM STATUS
OUTPUT FORMAT
CLEAN_MD
97%
Graph Discovery Noise Removal Link Rewriting DOM-Aware Deterministic Graph Discovery Noise Removal Link Rewriting DOM-Aware Deterministic

CORE CAPABILITIES

ENGINEERED FOR ACCURACY

01

Graph Discovery

Automatically discovers all documentation pages starting from a single URL. Follows same-domain links and handles infinite loops.

02

Noise Removal

Intelligently strips navbars, footers, ads, and social widgets. Preserves only the semantic content relevant for training.

03

AI-Ready Output

Produces a structured Markdown corpus with rewritten internal links. Perfect for RAG pipelines and LLM context.

HOW IT WORKS

FROM URL TO MARKDOWN IN SECONDS

01

Install Extension

Get Docs2MD directly from the VS Code Marketplace. No complex Python environment setup required.

02

Input URL

Paste the root URL of any documentation site. The crawler maps the entire graph automatically.

03

Get Markdown

Receive a folder of clean, linked Markdown files ready for your RAG pipeline or LLM training.

ENGINEERED FOR AI PIPELINES

Raw HTML is noisy. Docs2MD transforms documentation into structure-preserving Markdown, optimizing your data for the next generation of AI applications.

Use Case 01

RAG Pipelines

Retrieval-Augmented Generation requires clean data. Most HTML scrapers leave behind noise that confuses vector embeddings. Docs2MD produces semantic markdown that improves retrieval accuracy.

  • Clean context for embeddings
  • Preserved code blocks

Use Case 02

LLM Fine-Tuning

Training a specialized model on a library? You need the entire documentation in a text-heavy format. Docs2MD converts the entire documentation graph into a flat structure perfect for training datasets.

  • Full graph traversal
  • High token density

UNDER THE HOOD

Unlike simple text scrapers, Docs2MD parses the entire documentation. It understands the navigation of documentation and converts all the pages/sections of document.

Header Removal

Removed only if purely navigational.

Footer Stripping

Legal text and social links are automatically purged.

One-Click Integration

Available directly in VS Code. No complex Python setup required.

Docs2MD Logout
Convert
History

Enter a URL to convert into Markdown.

READY TO CONVERT?

Stop manually copy-pasting documentation. Build your AI knowledge base in minutes.