PDF to Word

Convert PDFs to editable Word documents with free OCR for scanned files. Free, no signup, up to 200MB.

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Drop your PDF here

Convert to editable Word document — up to 200 MB

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How to Convert PDF to Word

Smart PDF Lab converts PDFs to editable Word documents in three steps, with OCR included for scanned files.

  1. 1

    Upload your PDF.

    Drop your PDF or click Browse files to upload documents up to 200MB.

  2. 2

    OCR applies automatically.

    Smart PDF Lab detects scanned content and applies OCR at no cost.

  3. 3

    Download the DOCX.

    Save your editable Word file with text, images, and tables preserved.

Why Convert PDF to Word With Smart PDF Lab

Smart PDF Lab is one of the few free PDF-to-Word converters that includes OCR at no cost. Where most browser-based competitors paywall OCR for scanned documents, we apply it automatically to any PDF that needs it.

Output DOCX files preserve text, formatting, embedded images, tables, headers, and footers. Edit your converted document immediately in Microsoft Word, Google Docs, or LibreOffice. Files up to 200MB, no signup, no watermark.

What PDF to Word Converts

  • PDF types — Handles both text-based PDFs and scanned PDFs with free OCR applied automatically.
  • DOCX compatibility — Outputs DOCX compatible with Microsoft Word, Google Docs, and LibreOffice.
  • Preservation — Preserves tables, images, embedded fonts, hyperlinks, and document metadata.
  • OCR coverage — OCR covers scanned text in major Latin-alphabet languages with adjustable accuracy.
  • Layout flow — Multi-column layouts convert to single-column flow for clean editability.

Frequently Asked Questions

Does PDF to Word include OCR for scanned PDFs?

Yes. Smart PDF Lab includes OCR free on every PDF to Word conversion, including scanned documents and image-based PDFs.

Will tables and images be preserved?

Yes. Tables convert to editable Word tables, and embedded images transfer to the output DOCX without quality loss.

How accurate is the OCR conversion?

OCR accuracy depends on source quality. Clean, high-resolution scans typically achieve 95 percent or higher recognition accuracy in major Latin-alphabet languages.

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