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Latin PP OCRv3 Mobile Rec

Developed by PaddlePaddle
An ultra-lightweight Latin text line recognition model developed by the PaddleOCR team, supporting the recognition of Latin and numeric characters.
Downloads 898
Release Time : 6/6/2025

Model Overview

This model is a text line recognition model in the PP-OCRv3_rec series, specifically optimized for Latin and suitable for Latin text recognition tasks.

Model Features

Ultra-lightweight design
The model is only 7.8MB in size, suitable for deployment on mobile and embedded devices.
High-precision recognition
Achieves an average accuracy of 76.93% in Latin text recognition tasks.
Strict error judgment
If any character in a line is recognized incorrectly, the entire line is judged as incorrect, ensuring high accuracy in practical applications.

Model Capabilities

Latin text recognition
Numeric character recognition
Multi-line text processing

Use Cases

Document digitization
Latin document OCR
Convert Latin printed documents into editable text
Recognition accuracy of 76.93%
Mobile applications
Mobile Latin recognition
Implement real-time recognition of Latin text on mobile devices
The lightweight model is suitable for mobile deployment
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