Search pre-defined keywords into the scanned PDF files using Levenshtein algorithm.

Python
Tesseract

Requires libtesseract (>=3.04) and libleptonica (>=1.71).

On Debian/Ubuntu:

$ sudo apt-get install tesseract-ocr libtesseract-dev libleptonica-dev pkg-config

On RedHat/Fedora:

$ sudo dnf install tesseract tesseract-devel leptonica-devel leptonica

1. Tesseract Docs
2. Tesseract
3. Leptonica

$ git clone <project_repo>

$ cd <project_directory>/

$ pip install -r requirements/dev.txt

$ python -m build

For Windows

$ pip install dist/ocrmatcher-<version>-py3-none-any.whl

For Linux

$ pip install dist/ocrmatcher-<version>-tar.gz

1. Add dataset folder current directory
2. Add Scanned PDF files into dataset directory
3. Add keywords.txt file into dataset directory
4. Add Search Keywords to keywords.txt file (each keywords must be new line without numbering)

List of available commands

$ ocrmatcher --help

Or

$ python -m ocrmatcher --help

Add new keywords by add-keywords command

$ ocrmatcher add-keywords --k my-search-keyword1 my-search-keyword2 etc.

Search Keywords

$ ocrmatcher search 

Run with specific language

Search Keywords

$ ocrmatcher search --lang Occupant-Pigs

Run with specific threshold for two strings similarity, default is: 95

Search Keywords

$ ocrmatcher search --threshold 75

Pdf file convert to images

$ ocrmatcher pdf2img