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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
Downloads 71
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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