# Swin-BART Architecture

A specialized receipt text extraction model based on the Donut architecture, achieving OCR-free document understanding through visual encoder and text decoder

Donut is an OCR-free document understanding Transformer model that combines a visual encoder and text decoder to process document images

Multilingual invoice processing model optimized based on Donut architecture, capable of extracting key invoice fields

Donut model fine-tuned on ZhTrainTicket for document image-to-text conversion without OCR processing.

Donut is an OCR-free document understanding Transformer model that combines a visual encoder with a text decoder to achieve image-to-text conversion.

Donut is an OCR-free document understanding Transformer model, fine-tuned on the DocVQA dataset, capable of directly extracting and comprehending text information from images.

Donut is an OCR-free document understanding Transformer model that combines a visual encoder and text decoder to process document images.

Donut is an OCR-free document understanding Transformer model that combines a visual encoder and text decoder for image-to-text conversion

Donut is an OCR-free document understanding Transformer model composed of a visual encoder (Swin Transformer) and a text decoder (BART).

Donut is an OCR-free document understanding Transformer model composed of a visual encoder (Swin Transformer) and a text decoder (BART), capable of directly extracting text information from images.