Donut Demo Invoice

What is Donut Demo Invoice ?

Donut Demo Invoice is a demo application designed to demonstrate the capabilities of extracting text and data from scanned invoice images. It leverages advanced AI technology to accurately identify and extract relevant information, making it a powerful tool for automating invoice processing tasks.

Features

• Text Extraction: Automatically extracts text from scanned invoice images with high accuracy.
• Data Export: Allows users to export extracted data in various formats for further processing.
• Multi-Language Support: Supports invoices in multiple languages, ensuring global compatibility.
• Integration-Ready: Can be easily integrated with existing accounting and ERP systems.
• High Accuracy: Uses AI-powered OCR to minimize errors and improve extraction accuracy.
• User-Friendly Interface: Provides an intuitive interface for uploading and managing invoice images.

How to use Donut Demo Invoice ?

1. Install the Application: Download and install Donut Demo Invoice on your device.
2. Upload Invoice Image: Open the app and upload a scanned invoice image or document.
3. Select Language: Choose the language of the invoice to ensure accurate extraction.
4. Extract Data: Click on the extract button to process the invoice and retrieve the text data.
5. Review and Export: Review the extracted data and export it to your preferred format or system.

Frequently Asked Questions

What formats does Donut Demo Invoice support?
Donut Demo Invoice supports popular formats like PDF, JPG, PNG, and BMP for image uploads. Extracted data can be exported in CSV, Excel, or JSON formats.

How accurate is the text extraction?
The accuracy of the text extraction is highly dependent on the quality of the scanned invoice image. With clear and legible images, the AI-powered OCR achieves high accuracy rates.

Can I use Donut Demo Invoice for invoices in different languages?
Yes, Donut Demo Invoice supports multiple languages, making it suitable for international use. Ensure the correct language is selected during the extraction process for optimal results.