# Vision-to-Text Conversion

Donut is a visual document understanding model based on Swin Transformer, specifically fine-tuned for the CORD dataset, capable of extracting structured text information from images.

Receipt recognition model fine-tuned based on naver-clova-ix/donut-base

An image caption generation model based on the VisionEncoderDecoder architecture, capable of converting input images into natural language descriptions.

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 that combines a visual encoder and text decoder to process document images.

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