InvoiceNet
Deep neural network to extract structured information from invoice documents with a customizable UI and training tools.
What is InvoiceNet?
InvoiceNet is a deep neural network system that extracts structured information like vendor names, dates, and amounts from invoice documents. It solves the problem of manual invoice data entry by automating extraction with customizable models. The project includes tools for training on user-specific datasets and a GUI for easy interaction.
Developers and businesses needing to automate invoice processing, especially those with custom invoice formats or sensitive data requiring on-premise solutions.
It offers a self-hosted, customizable alternative to commercial invoice extraction services, with the unique ability to train models on private datasets via an intuitive UI.
Overview
Deep neural network to extract intelligent information from invoice documents.
Use Cases
Best For
- Automating accounts payable workflows by extracting data from invoices
- Training custom invoice extraction models on proprietary datasets
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