This project contains a Python script that performs OCR on an invoice image and extracts key-value pairs from it. The script uses Tesseract for OCR and SpaCy for Named Entity Recognition (NER).
Install Tesseract OCR: !apt-get install tesseract-ocr Install libtesseract-dev: !apt-get install libtesseract-dev Install pytesseract: !pip install pytesseract Install spacy: !pip install spacy
Import the necessary libraries: pytesseract cv2 imutils spacy
Load the image using the Image module of the PIL library. Perform OCR on the image using pytesseract.image_to_string() function. Load the SpaCy model. Process the OCR output using the SpaCy NLP model and extract entities and their labels. Extract key-value pairs from the OCR output using regular expressions.
The script takes an invoice image as input and performs OCR on it using Tesseract. It then extracts key-value pairs from the OCR output using regular expressions. The script also uses SpaCy to perform Named Entity Recognition (NER) on the OCR output and extract entities and their labels.
The input invoice image is stored in "/content/invoice-trade@2x.png". The output of the OCR is stored in the variable extractedInformation. The output of the regular expression extraction is stored in the dictionary kv_pairs. The output of the SpaCy NER is printed to the console.
License This project is licensed under the MIT License.