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[P] Parsr, a toolchain to prepare data for NLP project targeting documents
Repo: https://github.com/axa-group/Parsrsubmitted by hexapode to MachineLearning
Jupyter Notebook : https://github.com/axa-group/Parstree/mastedemo/jupyter-notebook
Tired of always dealing with the same tasks at the beginning of my NLP projects, I started a project 2 years ago to automate it. I was successful in convincing my employer to invest resources into it and to open source it.
Parsr is a simple to use toolchain that ingests many kinds of documents (images, PDF, Email, …) and transforms them into clean structured text (It removes duplicate content, page number, detect headings, handle multi column, …). Everything is configurable, and one of the nice features is the ability to switch your OCR solution without modifying your code (with support for Google OCR, Tesseract, Abbyy Fine Reader, PDF.js, PDFminer …). There is a python package and a docker container for easy use. You can also try it quickly by using the provided visual debugger
docker run -t -p 8080:80 axarev/parsr-ui-localhost:latest
Transforming complex document into structured text.