# Invoice Recognition

Donut is a Transformer-based document understanding model specifically designed for document question-answering tasks.

Invoice processing model fine-tuned based on naver-clova-ix/donut-base

Invoice recognition model based on Donut architecture, fine-tuned on a dataset of 200 invoices

A document classification model fine-tuned based on the LayoutLM architecture, specifically designed for classifying PDF documents, especially invoices

A fine-tuned model based on LayoutLMv3 for classifying documents into invoices or receipts.

This is a fine-tuned multimodal LayoutLM model for document question answering tasks, capable of understanding both text and layout information in documents to answer questions.

An invoice information extraction model fine-tuned based on the LayoutLMv3 architecture, demonstrating outstanding performance on the SROIE dataset

A document information extraction model fine-tuned on the SROIE dataset based on the LayoutLMv2 architecture, excelling at extracting key fields from receipt documents