OCR_Images_to_text

A simple Python script that uses Tesseract OCR to go through images (.png) and turn them into a single .txt file. Perfect for LLM (AI) usage

Requirements:

This Python script will require you to have Tesseract installed (main github page) https://github.com/tesseract-ocr/tesseract

If you can run tesseract from the terminal running tesseract, you should be good as the rest of the code uses default Python packages.

You may also place the Tesseract files in the "Tesseract-OCR" helper folder instead of adding them to the PATH environment (for Windows).

Usage:

Running pngs_to_text.py directly will give a short guide, however, the usage is (note: that "python" is optional as the file has a bang to use python when program is not specified):

python images_to_text.py <folder_of_images> [optional_output_filename] [OPTIONS]

The most common option to use would be:

• to modify the language used by the -l or --language. (default is English "eng")
• optional_output_filename replacing it with a fitting name (e.g, paper_i_scanned.txt), where the default will be output.txt

The input_folder is non optional, and assumes a content of only *.png files which is named in correct order (as often is the case with default screenshots names).