naiveHobo/InvoiceNet

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2694 stars · 411 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

InvoiceNet is a deep neural network application with a GUI for extracting structured information from invoice documents in PDF, JPG, and PNG formats. It includes a Trainer UI for building custom models on your own labeled invoice datasets and supports customizable extraction fields.

Use cases

• extract fields like vendor and total from invoice pdfs
• train a custom model on my own invoice dataset
• parse invoice documents into structured data
• automate invoice data entry
• view and extract information from scanned invoices

When to choose

• you have a labeled dataset of invoices and want to train a custom extraction model
• you need a GUI tool to annotate, train, and extract invoice fields
• you want an open-source alternative to commercial invoice OCR services

When to avoid

• you need ready-to-use pre-trained models for general invoices - none are available yet
• you lack GPU/training setup or labeled training data
• you need production-grade document extraction across many document types beyond invoices

Facets

application · maturity active

machine-learning deep-learning ocr pdf nlp gui machine-learning pdf developer-tools windows python invoice-processing information-extraction document-ai keras tensorflow training-ui automation linux desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="naiveHobo/InvoiceNet")