Donut Demo
VisionEncoderDecoder model fine-tuned on the CORD-v2 dataset for document understanding tasks
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Release Time : 8/15/2022
Model Overview
This model is a document understanding model based on the Donut architecture, specifically fine-tuned for the CORD-v2 receipt dataset, capable of extracting structured information from document images.
Model Features
Document Understanding Capability
Able to extract structured information from complex document layouts
End-to-End Training
Uses VisionEncoderDecoder architecture for end-to-end training
Receipt Parsing
Optimized information extraction capability specifically for receipt documents
Model Capabilities
Document Image Understanding
Structured Information Extraction
Receipt Data Parsing
End-to-End Document Processing
Use Cases
Business Automation
Automated Receipt Processing
Automatically extracts product, price, and other information from receipt images
Replaces manual data entry, improving financial processing efficiency
Document Digitization
Document Information Extraction
Converts unstructured documents into structured data
Facilitates subsequent data analysis and processing
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