donut-base-payslips Open-source Document Understanding Model - Free Processing of Payslip Image Recognition

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Donut Base Payslips

Developed by Assadullah

Document understanding model based on Donut architecture, specifically fine-tuned for payslip image processing

Text Recognition

Transformers

Open Source License:MIT #Payslip parsing #Document image understanding #OCR enhancement

Downloads 20

Release Time : 11/2/2022

Model Overview

This model is a fine-tuned version of naver-clova-ix/donut-base on an image folder dataset, primarily used for processing and analyzing payslip images

Model Features

Specialized payslip processing

Vision-language understanding capabilities optimized for payslip documents

Based on Donut architecture

Utilizes Transformer architecture for end-to-end document understanding

Image-to-text conversion

Directly extracts structured text information from images

Model Capabilities

Payslip image analysis

Document information extraction

Visual text recognition

Structured data generation

Use Cases

Financial automation

Payslip processing

Automatically extracts employee salary information from payslip images

Document digitization

Paper payslip digitization

Converts paper payslips into structured electronic data

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Donut Base Payslips

Model Overview

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