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[P] Parsr, a toolchain to prepare data for NLP project targeting documents

[P] Parsr, a toolchain to prepare data for NLP project targeting documents
Repo: https://github.com/axa-group/Parsr
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.
submitted by hexapode to MachineLearning

Business card scanners: ABBYY Card Reader $0.50, "CamCard Full" free for limited time

After being wow'd and disappointed at Google Goggles business card scanning, I went and tested all the business card readers. CamCard works best for me (I like the autotrim, batch, and seeing a portion of the image to correct if necessary).
The have an offer which will transform the free version to full (unlimited scans, $2.99 value): http://www.camcard.com/activity/50M?pl=cc_site
You have to create an account through the browser, activate it, and install the free version from the store, then sign in. Mine was still displaying ads, so I deleted and re-install, and it seems to be a full version. (You are supposed to follow and refer CamCard on social media, but I think there's no check.)
In case you prefer ABBYY's Card Reader, it's 50 cents today only. Install AppGratis (today), or just go to the Play Store since that's all AppGratis does anyway. (Install AppGratis anyway!!!)
submitted by tentwentyseven to androidapps

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