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Doctr Tf Crnn Vgg16 Bn French
Optical Character Recognition technology based on TensorFlow 2 and PyTorch, supporting multilingual document recognition
Text Recognition
Transformers Supports Multiple Languages#Multilingual OCR#Dual Framework Support#Document Recognition
Transformers Downloads 16
Release Time : 4/24/2022
Model Overview
doctr is an OCR model for document text detection and recognition, capable of extracting text content from images. It supports multiple architecture combinations and is suitable for various document processing scenarios.
Model Features
Dual Framework Support
Supports both TensorFlow 2 and PyTorch frameworks, providing flexible development options
Modular Design
Detection and recognition models can be freely combined to meet different performance needs
Lightweight Models
Offers lightweight architecture options like MobileNet, suitable for mobile and edge device deployment
Model Capabilities
Document Image Text Detection
Multilingual Text Recognition
End-to-End Document OCR Processing
Use Cases
Document Digitization
Scanned Document Processing
Convert scanned PDFs or images into editable text
Improves document processing efficiency and digitizes paper documents
Form Processing
Automatic Form Recognition
Extract structured data from various forms
Reduces manual entry and improves data collection accuracy
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