A Python tool based on OpenCV, Tesseract OCR and spaCy for reading and recognize the text in an image from Windows.
This script processes the image generating 30 variants using OpenCV adaptiveThreshold to then measure with spaCy the relevance and number of words obtained by Tesseract OCR and choose the best reading.
The latest installers for Windows can be downloaded here.
For more information about languages supported in different versions of Tesseract visit the following link.
To enable spaCy we must download the pre-trained models as indicated on its official site.
pip install -U spacy
Installing English:
python -m spacy download en_core_web_md
Installing Spanish:
python -m spacy download es_core_news_md
Just copy the itt.py script located in the dist folder and update the Tesseract path if necessary.
import pytesseract as pyt
pyt.pytesseract.tesseract_cmd = "C:/Program Files/Tesseract-OCR/tesseract.exe"
To use the script we only have to indicate the path of the image that we want to read.
python itt.py W:\malexandersalazar\tools-python-image-to-text\raw
You can also set the language as a parameter. For now it only supports English ("en") and Spanish ("es").
python itt.py W:\malexandersalazar\tools-python-image-to-text\raw -l=en
If we want to support more languages we must install the necessary spaCy models and make sure that Tesseract OCR can support them as well.
- python (== 3.11.3)
- pytesseract (== 0.3.10)
- cv2 (== 4.7.0)
- spacy (== 3.6.0)
- pandas (== 2.0.2)
This project is licenced under the MIT License.