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Vertical Text OCR.

Reshaping vertical reading. Powered by Multimodal VLM, we deeply parse vertical manuscripts, calligraphy, and East Asian layouts, achieving High-Fidelity automated vertical text transcription.

Supports 80+ Formats

DROP FILES HERE

Guest: Basic | 2MB Limit
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Multi-Language Support · 110+ Languages

Output Format Excel (.xlsx) Basic OCR . No Table Structure
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 Vertical OCR Engine

Vertical Archives to
Structured Vertical Text

Utilizing a Vertical Text OCR Engine optimized for CJK languages, we deeply analyze vertical recognition logic to instantly transform antique books, calligraphy, and vertical periodicals into High-Fidelity Editable Documents. Precisely handle longitudinal layouts and eliminate alignment errors.

User User User
1K+
4.9/5

Trusted by 1,075 Global Users

纵向
Vertical_Ancient_Script.jpg
DETECTED
VLM
Japanese Vertical OCR Processing...
TEXT
Traditional Chinese Restored.
EXTRACTED

Layout-Aware
Vertical Transcription

iLoveOCR deeply parses the visual geometric logic of Vertical OCR. Through VLM semantic mapping, we go beyond precise recognition to restore the unique reading flow and column spacing. The resulting Vertical Document Archives perfectly preserve the original aesthetic, making the processing of CJK ancient texts or Manga OCR effortless.

Batch Recognize Vertical Text

Supporting Read Vertical Text Online scenarios with high-precision Automated Vertical Text Extraction.

VERTICAL
Professional OCR Hub

Vertical Text OCR
Frequently Asked Questions.

An in-depth guide to CJK vertical recognition, archive digitization, and layout preservation.

01 How does iLoveOCR handle complex vertical layout logic?

Through **Vertical-Flow Perception Technology**, **Automatic Language Switching**, and **Anti-Interference Algorithms** for ancient texts, the system precisely identifies the top-to-bottom, right-to-left reading order while intelligently filtering out stamps and creases for high-purity text extraction.

02 Can recognized vertical text be exported to Word?

Absolutely. iLoveOCR handles large-scale Antique Document OCR tasks. Once recognized, documents can be converted with one click into editable Word files—either converted to horizontal flow or preserving the original vertical logic.

03 What is the recognition accuracy for rare fonts or calligraphy?

Thanks to the massive visual pre-training library of our VLM models, we can recognize various traditional scripts including Clerical (Lishu) and Regular (Kaishu). Compared to traditional OCR, we offer stronger semantic error correction for Vertical Text Recognition, ensuring even rare characters are accurately transcribed.