Whatsclaw AI

PDF to Word

Reconstructs a PDF's paragraphs, bold and italic text, embedded pictures and tables — bordered or not — into a genuine .docx you can edit in Word. Multi-column layouts are read in the correct order, and a title or page number repeating on every page becomes a real Word header or footer instead of an inline paragraph.

Processed entirely in your browser — your files are never uploaded to a server.
Rebuilds paragraphs from vertical spacing, bold/italic from the original font, and tables from the PDF's own text. Bordered tables are detected reliably; borderless tables fall back to an AI structure-detection model that's less reliable. Exact positioning isn't reconstructed, since a PDF has no paragraph or table model to begin with.

How it works

  1. The PDF is parsed to recover the position, font, and style of every piece of text on the page — not just the pixels that make up each letter.
  2. Nearby lines are grouped into paragraphs based on the vertical spacing between them, and bold or italic is detected from the font each run actually uses.
  3. Tables are rebuilt from ruling lines (or an AI layout model when there are none), and pictures are cropped out and placed in reading order alongside the text.
  4. A real .docx file is assembled from that recovered structure and downloaded directly — the PDF never leaves your browser.

Frequently asked questions