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Extract Matic

Developed by PCS
Sparrow is a document data extraction tool fine-tuned on invoice data based on the Donut ML foundation model, designed to validate Donut's performance on enterprise documents.
Downloads 17
Release Time : 6/3/2024

Model Overview

This model is specifically designed to extract structured data from invoice documents, achieving an average accuracy of 0.96 on the test set.

Model Features

High Accuracy
Achieves an average accuracy of 0.96 on invoice data extraction tasks
Enterprise Document Optimization
Specially fine-tuned and optimized for enterprise invoice documents
Open-source Model
Open-sourced under the MIT license, free to use

Model Capabilities

Extract structured data from invoice images
Identify key information fields in documents

Use Cases

Financial Automation
Invoice Data Processing
Automatically extract key information such as supplier, amount, and date from invoice images
Reduces manual entry and improves data processing efficiency
Enterprise Document Management
Document Digitization
Convert paper invoices into structured digital data
Facilitates subsequent storage, retrieval, and analysis
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