Reimagined by iLoveOCR V4.0
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Pricing Plans

Recognize PPM and Generate Docx

Obtain high-precision PPM structured document assets with full style layers and batch editing support.

Supports 80+ Formats

DROP FILES HERE

Guest: Basic | 2MB Limit
Sign up to Unlock Batch & Pro Layouts
Release to Recognize
Language Auto-Detect Language

Select OCR Language

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

Reconstruct PPM Pixels
into Standard Docx

Utilizing high-performance VLM engines for deep XML logical reconstruction, transforming scanned PPM images or PDFs into .docx files that comply with Microsoft Office Open XML standards.

User User User
1K+
4.9/5

Trusted by 1,080 Global Users

DOCX
D1
ANALYZING
D2
ANALYZING
D3
ANALYZING
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ANALYZING
D5
ANALYZING
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ANALYZING

Industry-Grade
XML Structured Recognition

More than just OCR text extraction, iLoveOCR reconstructs the underlying style definition tables of PPM documents. By parsing font weights, spacing ratios, and column layouts, the generated Docx files maintain high-fidelity formatting in Word.

Data Privacy,
Local & Encrypted Protection.

Your files are instantly wiped from memory upon conversion completion. We utilize high-standard SSL 256-bit encryption to ensure the entire process remains within an absolute digital black box.

GDPR Compliant
Zero Logs Policy

100% Free & Accessible

Direct browser-based processing with zero fees. Accelerate your productivity instantly.

Privacy-First Local OCR

Your files are never uploaded to a server. All vision recognition logic is performed locally within your browser for complete security.

VLM Engine 4.0

Supports structured output reconstruction, precisely restoring every cell and paragraph style.

WORD
Technical Support

DOCX Reconstruction
Deep Tech Insights.

Learn how iLoveOCR handles DOCX layout reorganization, font embedding, and privacy security.

01 Will the layout be messy after converting PPM to Word?
iLoveOCR utilizes an advanced VLM semantic reconstruction engine specifically optimized for complex layouts in PPM. The system automatically identifies headers (H1-H3), text wrapping, and multi-column logic, ensuring the generated .doc file possesses a native document flow that supports free editing without losing paragraph formatting.
02 Can special fonts and handwriting in PPM be recognized?
Our built-in deep learning models automatically match the closest standard system fonts. Even if the PPM contains handwritten contracts, stamp text, or low-resolution scans, it will be rendered as clear, searchable, and editable text in Word, significantly reducing manual data entry costs.
03 Will official seals, signatures, and illustrations in PPM be lost?
No. All non-text elements in PPM (such as illustrations, colored seals, and handwritten signatures) are extracted with high fidelity and embedded as independent floating objects in Word, preserving their original DPI resolution without compression.
04 Can I convert and merge multiple PPM files into a single Word document?
Yes. You can batch upload multiple PPM files. The system will perform OCR recognition sequentially and generate either individual documents or a single, continuous Word document based on your preference.
05 Does it support multi-language mixed layouts within PPM?
Perfectly. We support 110+ languages, including mixed Chinese-English, Japanese, Korean, and Arabic. The system automatically detects the languages and invokes the corresponding OCR models to ensure special symbols and grammatical logic are correct in Word.