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Old Manuscript Digitization.

Reviving historical memory. Powered by VLM-based handwriting restoration, we deeply recognize damaged ink, ancient literature, and rare manuscripts to achieve High-Fidelity digital preservation of cultural heritage across time.

Supports 80+ Formats

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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
VLM-Powered Manuscript Digitization

From Damaged Archives
Reconstructed as Digital Assets

Utilizing a cutting-edge AI Manuscript Transcription Engine, we precisely decipher Archaic Scripts, instantly transforming fragile originals into Searchable Digital Archives (.docx). Automate document archiving and say goodbye to tedious manual proofreading.

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4.9/5

Trusted by 774 Global Users

INK
Faded Ink Detected
RESTORE
TYPE
Medieval Script Trans.
DATA
Historical Indexing
SUCCESS

High-Fidelity
Archive Restoration

iLoveOCR deeply parses the paper texture and ink depth of historical documents. Through VLM visual perception, we precisely recognize faded cursive and complex marginalia layouts. The resulting Digital Text perfectly restores original chapter structures, allowing you to complete archive organization or cultural asset digitization in an instant.

Batch Digitize Rare Manuscripts

Supporting global historical script recognition with high-precision Automated Transcription.

OLD
Historical Hub

Manuscript to Digital Document
Frequently Asked Questions.

An in-depth guide to script deciphering precision, damaged document merging, and cultural data security.

01 How do you guarantee recognition integrity for extremely blurry or damaged manuscripts?

Through a triple-layered core technology of **Ink Enhancement**, **Contextual Semantic Inference**, and **Layout Semantic Restoration**, the system precisely distinguishes stains from real strokes and parses unconventional handwriting. This ensures high-fidelity content extraction and layout preservation for damaged manuscripts during digitization.

02 Does it support batch recognition and merging of entire ancient book PDFs?

Absolutely. iLoveOCR can process Manuscript PDF Recognition for ultra-long documents, automatically filtering noise like paper edges or creases. It merges the text of an entire book into a single continuous file, drastically improving the search efficiency of digitized literature.

03 How is the data security of rare manuscripts and sensitive cultural assets guaranteed?

We implement a "Cultural Heritage-Grade Privacy Protocol." Once manuscripts are processed, all temporary recognition data is immediately and physically shredded. We respect and protect the ownership of every document, ensuring your research materials are handled with High-Fidelity Digital Security.