AI Invoice Details Extractor An AI-powered

AI Invoice Details Extractor

An AI-powered invoice processing system designed to automatically extract structured information from invoices, reducing the need for manual data entry and making document processing faster and more scalable.

What I Built

I developed an end-to-end AI invoice information extraction pipeline that processes invoice documents and identifies important fields such as:

Invoice number

Invoice date

Vendor/supplier details

Customer details

Billing and shipping information

Tax information

Subtotal and total amount

Line-item details

Product/service descriptions

The project uses deep learning and document understanding techniques to understand both the textual content and spatial layout of invoice documents.

Dataset & Preprocessing

I collected invoice/document data from Hugging Face and built a preprocessing pipeline to prepare the documents for model training.

The preprocessing workflow included:

Dataset cleaning and filtering

Document/image processing

Text extraction and normalization

Annotation preparation

Layout information processing

Tokenization

Training/validation dataset preparation

Special attention was given to preserving the relationship between text and its position within the document, which is important for understanding complex invoice layouts.

Model Development

For the extraction model, I worked with LayoutLMv3 using PyTorch, leveraging its ability to combine:

Text + Visual Information + Document Layout

This allows the model to understand not only what information appears on an invoice, but also where it appears and how different elements are related.

End-to-End Pipeline

Invoice → Preprocessing → Layout/Text Understanding → AI Model → Field Extraction → Structured Data

The extracted information can then be converted into structured formats such as JSON or tabular data, making it suitable for integration into accounting, ERP, finance, or document-processing workflows.

Key Technologies

Python • PyTorch • LayoutLMv3 • Hugging Face • Transformers • OCR • NLP • Computer Vision • Document AI

Project Goal

The goal of the project is to move invoice processing from manual data entry toward automated intelligent document processing, while creating a system that can be further improved to handle different invoice formats and layouts.

This project represents my work across NLP, Computer Vision, Deep Learning, and Document AI, with a focus on building practical AI systems that can solve real-world business problems.