Convert raw HTML code or .html files into clean, readable GitHub-Flavored Markdown in real-time. Strips layout scripts and CSS while preserving headings, lists, tables, and links.
Supported formats: .html, .htm • Up to 25MB
No Markdown generated yet
Upload a document or paste content on the left to see the structured Markdown output.
Knowledge base
Unlike basic HTML parsers that ignore `<table>` structures, our tool serializes nested rows, headers, and alignments directly into GFM pipes and dashes.
The generated tables render flawlessly in GitHub, Obsidian, Notion, VS Code, and LLM chat interfaces.
Raw HTML copied from web pages or CMS platforms often contains hidden tracking pixels, inline style strings, and noisy `<script>` or `<style>` blocks.
Our converter automatically strips non-semantic elements and extracts only the meaningful content.
When pasting or editing HTML directly in the browser, conversion happens client-side with zero network delay.
Large HTML export files can also be uploaded for high-throughput batch processing.
Binary containers like PDF, DOCX, and XLSX carry massive visual formatting, font definitions, and XML schema metadata that consume valuable context window tokens. Markdown strips away this visual bloat while preserving semantic headings, bullet lists, and tables—reducing token count by up to 85% and significantly speeding up AI inference.
Powered by Firecrawl AnyDoc, the conversion engine calculates the physical geometry of spreadsheet grids and document tables, translating them into GitHub-Flavored Markdown (GFM) pipe tables (| Col 1 | Col 2 |). This preserves column alignment and relational meaning without data scrambling.
AnyDoc extracts text directly from digital and vector PDFs with an embedded text layer in single-digit milliseconds. If your PDF consists of scanned pages or camera photos without a text layer, optical character recognition (OCR) is required.
No. Document conversions are processed entirely in-memory and the resulting Markdown is streamed immediately back to your browser. Your files are never written to disk, stored in databases, or used for AI training.
You can convert files up to 25MB in size directly through the web interface. For larger enterprise workloads, batch document processing is available via the SpeedVitals API.
