InvoiceNet is a deep learning system for extracting structured information from invoice documents. It uses convolutional neural networks built with Keras and TensorFlow to process PDF and image inputs, identify key fields like amounts, dates, and vendor information, and output structured data. The project includes a GUI for viewing invoices and annotating training data, along with scripts for preparing datasets and training custom models on domain-specific invoice formats.