This converter handles text-based conversions in both directions, preserving structure — not just raw text. PDF to Word produces a genuine .docx file with headings, bold/italic runs and paragraph breaks intact. Word to PDF reads the DOCX's underlying formatting and renders matching headings, emphasis and list bullets. Both run locally — your document is parsed in your browser's memory, never sent anywhere.
The converter reads your PDF page by page, groups text into lines and paragraphs by position, detects larger/bold text as headings, and builds a genuine .docx file that opens natively in Microsoft Word or Google Docs — no compatibility-mode warning. It works best on text-based PDFs — for scanned documents, run the OCR Reader first to make the text recognizable. Tables, multi-column layouts and images are not reconstructed.
For DOCX files, the tool reads the document's underlying XML directly from the file's ZIP structure — including heading styles, bold/italic runs and list formatting — and rebuilds it as a paginated PDF with matching fonts and sizes. Tables, multiple columns and embedded images are not reconstructed in this lightweight, fully local conversion.
The common case is a draft that arrived as a PDF and now has to be edited — a draft OM circulated for comments, a reply received from an attached office, a format that has to be adapted for a fresh case.
Conversion recovers the text. It does not reliably reproduce complex layout — multi-level tables, headers and footers, sidebars and precise spacing frequently come across differently, and government formats are unusually table-heavy. Treat the output as recovered text to be reformatted, not as a faithful copy. Always compare against the original before the document goes anywhere.
A scanned PDF contains images of text, not text. Conversion will produce an empty or near-empty document. Run it through the OCR reader first, then check the extracted text against the original — OCR misreads digits and initials more often than words, which matters when the document contains file numbers, dates and amounts.