Reimagined by iLoveOCR V4.0
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PDF to Word with OCR

Turn dead pixels into editable text. High-fidelity conversion that saves you hours of re-typing.

Supports 80+ Formats

DROP FILES HERE

Guest: Basic | 2MB Limit
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Release to Recognize
Language Auto-Detect Language

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Multi-Language Support · 110+ Languages

Output Format Word (.docx) Basic · Text Only
Word (.docx) Basic · Text Only
Excel (.xlsx) Basic OCR · No Table Structure
Text File (.txt) Plain Text · High Compatibility
Pro Only AI Batch & Merge
Word (.docx) High-Fidelity Layout
Pro Ultra
Excel (.xlsx) Finance-Grade Alignment
Pro Ultra
PowerPoint (.pptx) Dynamic Slide Rebuild
Standard Pro Ultra
Epub / Mobi / Azw3 Kindle · Auto De-clutter
Basic Pro Ultra
Markdown (.md) Auto Title Detection
Standard Pro Ultra
Enterprise AI Engine
Searchable PDF (Dual-Layer) VLM Engine · Text Layer · GPU Priority
Ultra Ultra
PRO
AI Enhancement Layout Analysis

Smarter PDF Reconstruction

Converting a scanned PDF into an editable Word document is an architectural challenge that requires the deep reconstruction of the document's original 'DNA.' Unlike basic converters that produce messy text boxes, our AI-driven workflow identifies margins, font weights, headers, and nested tables to create a native Docx file that remains perfectly editable. This high-fidelity restoration saves users countless hours of manual re-typing and re-formatting, ensuring that even the most complex legal or academic papers are revived with their original visual logic intact.

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Frequently Asked Questions
& Service Standards.

Deep insights into recognition accuracy, privacy security, and account subscriptions.

01 Will the formatting stay the same?
Our OCR engine is layout-aware, meaning it identifies headers, footers, and tables to keep the Word file identical to the original.
02 Does it support non-English PDFs?
Yes, it supports over 100 languages, including complex scripts and vertical text.
03 Can I batch convert multiple PDFs?
Yes, our Pro and Ultra tiers allow for high-speed batch processing of multiple scanned PDFs.