Invoice-GPT Report
In this report, I explore the current technologies and tools available in 2024 that can assist in implementing a basic pipeline for document data extraction, focusing on invoices and receipts.
Highlights:
- Image processing: We delve into pre-processing techniques using OpenCV to prepare image files for OCR. This includes steps such as noise reduction, thresholding, and image enhancement to improve OCR accuracy.
- OCR: We utilize the Tesseract API to extract characters from the processed image files. This section covers the setup, configuration, and optimization of Tesseract for various document types.
- NLP: For extracting meaningful insights from the text, we leverage the OpenAI GPT API. This involves using natural language processing to structure and interpret the extracted data, ensuring high accuracy and reliability.
Outcomes:
With minimal tuning and hyperparameter adjustments, the report demonstrates the ease and potential of achieving production-grade data extraction from documents. The results illustrate the effectiveness of combining image processing, OCR, and NLP technologies to create a robust document data extraction pipeline.
Full report in PDF