DeepDoctection is a toolbox designed to make it easier to start working on this topic.
DeepDoctection is a Python package that allows the creation of document extraction analysis and document layout analysis tasks by using deep learning models. It focuses on applications related to document extraction from PDFs or scans in various image formats. Deepdoctection provides model wrappers for various tasks to be integrated into pipelines.
PDFix – Autotag – DeepDoctection
Our example of auto-tagging PDF documents with PDFix SDK and the deepdoctection python AI library for document extraction and layout analysis is now available on GitHub.
Use Layout Recognition Results to Create Accessible PDF
Test an example of auto-tagging PDF document with PDFix SDK and the deepdoctection Python AI library for document extraction and layout analysis available at Huggingface.
Deepdoctection is supported on macOS/Linux.
Create a virtual Python environment
python3 -m venv env && source env/bin/activate
Install the PDFix SDK package
pip install pdfix-sdk
To install deepdoctection library follow the steps on https://github.com/deepdoctection/deepdoctection#installation
Run the example
To run the example execute
Thank you for visiting our Blog. If you have any questions or comments, please do not hesitate to contact us.