Natural Language Processing

Tika – content analysis toolkit

The Apache Tika toolkit detects and extracts metadata and text from over a thousand different file types (such as PPT, XLS, and PDF).

All of these file types can be parsed through a single interface, making Tika useful for search engine indexing, content analysis, translation, and much more.

Apache Tika uses the Bouncy Castle generic encryption libraries for extracting text content and metadata from encrypted PDF files.

This is free and open source software.

Website: tika.apache.org
Support: GitHub Code Repository
Developer: The Apache Software Foundation
License: Apache License, Version 2.0

Tika is written in Java. Learn Java with our recommended free books and free tutorials.


Related Software

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LuceneHigh-performance, full-featured information retrieval software library
UIMAOpen source implementation of the UIMA specification
TikaContent analysis toolkit
MALLETStatistical natural language processing, document classification and more
GATEFull-lifecycle solution for a broad range of NLP tasks
ReVerb Automatically identifies and extracts binary relationships from sentences
NLP4JNLP framework for JVM languages
CogComp-NLPState-of-the-art Natural Language Processing (NLP) tools

Read our verdict in the software roundup.


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