facematch VS tika-python

Compare facematch vs tika-python and see what are their differences.

facematch

Facematch is a tool to verifies if two photos contain the same person. (by danielgatis)
face-recognition Face recognition Identity Python liveness
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tika-python

Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community. (by chrismattmann)
tika-server Python tika-python tika-server-jar parser-interface Parse translation-interface usc text-extraction Mime Buffer memex text-recognition Detection recognition NLP nlp-machine-learning nlp-library covid-19 extraction
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facematch tika-python
- 4
71 1,420
- -
1.8 2.2
about 3 years ago 24 days ago
Python Python
MIT License Apache License 2.0
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facematch

Posts with mentions or reviews of facematch. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning facematch yet.
Tracking mentions began in Dec 2020.

tika-python

Posts with mentions or reviews of tika-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-19.
  • Document Parsing - an unsolved problem?
    5 projects | /r/LanguageTechnology | 19 Jul 2022
    At my previous job we had the same problem which we solved by using Tika. We called it on the server along with other stuff, but there is also a Python binding.
  • Extract text from PDF
    7 projects | /r/Python | 2 Nov 2021
    Tika is from Apache so yes its original code base is Java but it has bindings in other languages. Checkout Tika-Python!
  • Extract text from documents
    5 projects | dev.to | 27 Mar 2021
    The Textractor instance is the main entrypoint for extracting text. This method is backed by Apache Tika, a robust text extraction library written in Java. Apache Tika has support for a large number of file formats: PDF, Word, Excel, HTML and others. The Python Tika package automatically installs Tika and starts a local REST API instance used to read extracted data.