PDF to Markdown, extract structured text instantly
Upload a PDF file and get clean Markdown output. Headings, paragraphs, and lists detected automatically. Layout noise stripped.
Upload your PDF document
Drop a .pdf file here or click to browse
Supports drag & drop
- Runs entirely in your browser
- Smart detection of headings, paragraphs, lists
- Completely free
How it works
Three steps, no signup.
- 1
Upload a PDF
Drag and drop or click to select your PDF file.
- 2
Smart parsing
Font sizes analyzed to infer heading levels. Paragraphs and lists extracted.
- 3
Copy or download
One-click copy Markdown, or download as .md. Feed it back into ChatGPT or Notion.
Features
Built with care for AI-era document delivery.
Smart structure detection
Automatically infers heading levels from font size and weight. Detects lists and paragraph structures.
Layout noise cleanup
Strips headers, footers, page numbers, and other redundant elements. Clean, readable output.
Client-side conversion
Your file never leaves the browser. Works offline. No server round-trip.
When to use
Real-world scenarios where FlowDoc saves you time.
Paper content extraction
Convert academic paper PDFs to Markdown for AI summarization, translation, or key paragraph extraction.
Contract text digitization
Extract text layers from contract PDFs into Markdown for full-text search and clause comparison.
Report data reuse
Turn annual reports and market analyses PDFs into Markdown for AI-powered data analysis.
Regulatory text management
Convert policy and regulation PDFs to Markdown for indexing, citation, and version management.
Frequently asked questions
Still curious? Email us at admin@flowdoc.cc
FlowDoc uses Mozilla's open-source PDF.js engine to parse PDF text streams directly in the browser. The system extracts metadata for each text block including font size, font name, and coordinates. Through statistical analysis of font size distribution, it automatically determines the body text baseline and identifies text significantly larger as headings (H1-H4). It also detects bullet symbols and numbered prefixes for list structures.
The current version only supports PDFs with selectable text layers. Scanned documents require OCR processing first. OCR integration is on our development roadmap. For now, we recommend using Adobe Acrobat to convert scanned PDFs to searchable PDFs before importing into FlowDoc.
FlowDoc extracts all visible text content without losing any textual information. However, heading level inference is based on heuristic font-size analysis and may need manual adjustment for non-standard layouts. For standard business documents and academic papers, detection accuracy is very high.
Absolutely not. The entire PDF parsing process runs completely in your local browser. The PDF.js engine operates within the browser's JavaScript sandbox. No data ever leaves your device, and it works perfectly even offline.