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