Layoutlm Invoices
A multimodal LayoutLM model fine-tuned for invoice and other document QA tasks, supporting discontinuous text recognition
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Release Time : 12/30/2023
Model Overview
A model fine-tuned based on the LayoutLM architecture, specifically designed for handling QA tasks on invoices and other documents, capable of recognizing discontinuous text sequences
Model Features
Discontinuous Text Recognition
Capable of predicting long-distance discontinuous text sequences, solving the problem where traditional models can only extract continuous text fragments
Multimodal Processing
Combines text and layout information for document understanding
Domain-Specific Optimization
Specifically optimized for invoice processing tasks
Model Capabilities
Invoice Information Extraction
Document QA
Discontinuous Text Recognition
PDF Processing
Image Document Analysis
Use Cases
Financial Processing
Invoice Number Recognition
Extract invoice numbers from invoice images
Accurately identifies invoice numbers
Purchase Amount Extraction
Extract purchase amounts from contracts or invoices
Accurately identifies amount information
Document Management
Address Information Extraction
Accurately identify complete address information from multi-line text
Successfully predicts discontinuous text, accurately identifying two-line addresses
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