pdfalign 0.0.1

pdfalign is a very simple tool to grid align extracted pdf text. This is useful for invoice table extraction or further processing with llms / rag systems

pdfalign

pdfalign is a very simple tool to extract text from a pdf in a grid aligned format. This is especially useful in table extraction pipelines. Some use cases include invoice data extraction and pdf processing for rag systems. The simple algorithm that pdfalign uses is the meanshift algorithm to group text blocks together and to algin grids. In some scenarios this may produce very sparse documents / tests. In most cases this is however not a problem for llms to handle

Features

• Tesseract support: Can use tesseract automatically, if no text is detected on a pdf page.
• Image support: Not only works with pdfs but also with for example scan copys of invoices.
• Output as a pandas dataframe: One of the outputs is a pandas dataframe which can be used for further processing / transformations.

Installation

Install pdfalign using pip:

pip install pdfalign

Usage

Here's a quick example on how to use PDFalign to extract grid aligned text from a PDF file:

from pdfalgin import algin

# Extract grid algined text from a pdf
# which returns a list for each pdf page
pages = algin("sample.pdf", force_tesseract=False, tesseract_params=None)

for page in pages:
    print(page.text)
    print(page.dataframe)

If you want to use an Image you have to make sure that pytesseract is installed. Here is the code for that:

from pdfalgin import algin

# Initialize an Image object
img = Image("sample.jpg")

# Extract all tables from the image
# which returns a list of Table objects
text, dataframe = algin(img)

License

This project is licensed under the MIT License - see the LICENSE file for details.