Layoutlmv3 Finetuned Invoice
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Layoutlmv3 Finetuned Invoice
Developed by ronak1998
An invoice information extraction model fine-tuned based on the LayoutLMv3 architecture, demonstrating outstanding performance on the SROIE dataset
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Release Time : 6/10/2022
Model Overview
This model is specifically designed to extract key information from invoice documents, such as dates, amounts, merchant details, etc., supporting structured data extraction
Model Features
High-precision Information Extraction
Achieves near-perfect precision (1.0) and recall (0.998) on the SROIE test set
Layout Awareness
Combines text content and document layout information for more accurate entity recognition
End-to-end Processing
Can directly process raw document images without complex preprocessing
Model Capabilities
Invoice Information Extraction
Document Entity Recognition
Structured Data Generation
Use Cases
Financial Automation
Invoice Data Processing
Automatically extracts key fields (amount, date, tax ID, etc.) from scanned invoices
Reduces manual entry errors and improves processing speed by over 90%
Document Management
Document Digitization
Converts paper invoices into structured data
Enables searchable and analyzable document content
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