Donut 240202
A document understanding model fine-tuned from Yazawa/donut-base-sroie, suitable for structured document information extraction tasks
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Release Time : 2/2/2024
Model Overview
This model is a document understanding model based on the Donut architecture, specifically fine-tuned for structured document information extraction tasks.
Model Features
Document Understanding Capability
Capable of understanding structured information in scanned documents or images
End-to-End Processing
Directly processes from image input to structured output without OCR preprocessing
Fine-Tuning Optimization
Optimized on specific datasets to improve information extraction accuracy
Model Capabilities
Document Image Understanding
Structured Information Extraction
End-to-End Document Processing
Use Cases
Document Processing
Receipt Information Extraction
Extracts merchant, date, amount and other information from scanned receipts
Invoice Processing
Automatically identifies key fields in invoices and outputs structured data
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