Difference between revisions of "Apache Tika"

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m (Reverted edits by Prwheatley (talk) to last revision by Andy Jackson)
m (Functional notes)
 
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{{Infobox_tool
 
{{Infobox_tool
|purpose=Detects and extracts metadata and text content from documents.
+
|purpose=Java based tool for identifying file formats using signatures and extracting metadata and text content from documents.
 
|image=
 
|image=
 
|homepage=http://tika.apache.org/
 
|homepage=http://tika.apache.org/
 
|license=Apache License, Version 2.0
 
|license=Apache License, Version 2.0
|platforms=
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|platforms=Java
 
}}
 
}}
  
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= Description =
 
= Description =
Java based tool for detecting and extracting metadata and text content from documents.
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Java based tool for identifying file formats using signatures and extracting metadata and text content from documents.
 +
====Functional notes====
 +
[http://tika.apache.org/ Apache Tika]  is able to detect many different file formats. The following list names only the file formats which are supported by the parsers in the current Apache Tika version 1.9 and from which Tika is able to extract metadata and/or textual content:
 +
* HTML,
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* XML and derived formats,
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* MS Office document formats,
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* ODF,
 +
* iWorks document formats,
 +
* PDF,
 +
* EPUB,
 +
* RTF,
 +
* compression and packaging formats,
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* text formats,
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* feed and syndication formats,
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* CHM,
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* audio formats,
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* image formats,
 +
* video formats,
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* Java class files and archives,
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* source code,
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* mail formats,
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* DWG CAD format,
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* font formats,
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* scientific formats,
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* executable programs and libraries,
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* crypto formats.
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For detailed information see [http://tika.apache.org/1.9/formats.html Apache Tika 1.9] .
  
 
= User Experiences =
 
= User Experiences =
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{{Infobox_tool_details
 
{{Infobox_tool_details
 
|ohloh_id=tika
 
|ohloh_id=tika
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|releases_rss=http://projects.apache.org/feeds/rss/tika.xml
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|issues_rss=https://issues.apache.org/jira/activity?maxResults=10&streams=key+IS+TIKA
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|mailing_lists=
 
}}
 
}}
 
=== Release Feed ===
 
 
Link to any RSS feed that is updated when new releases occur, if any, e.g:
 
<rss max=7>http://projects.apache.org/feeds/rss/tika.xml</rss>
 
 
=== Activity Feed ===
 
 
Link to any RSS feed that is updated when issue or code updates occur, if any, e.g:
 
<rss max=7>https://issues.apache.org/jira/activity?maxResults=10&amp;streams=key+IS+TIKA</rss>
 

Latest revision as of 14:32, 21 July 2015


Java based tool for identifying file formats using signatures and extracting metadata and text content from documents.
Homepage:http://tika.apache.org/
License:Apache License, Version 2.0
Platforms:Java


Contents

[edit] Description

Java based tool for identifying file formats using signatures and extracting metadata and text content from documents.

[edit] Functional notes

Apache Tika  is able to detect many different file formats. The following list names only the file formats which are supported by the parsers in the current Apache Tika version 1.9 and from which Tika is able to extract metadata and/or textual content:

  • HTML,
  • XML and derived formats,
  • MS Office document formats,
  • ODF,
  • iWorks document formats,
  • PDF,
  • EPUB,
  • RTF,
  • compression and packaging formats,
  • text formats,
  • feed and syndication formats,
  • CHM,
  • audio formats,
  • image formats,
  • video formats,
  • Java class files and archives,
  • source code,
  • mail formats,
  • DWG CAD format,
  • font formats,
  • scientific formats,
  • executable programs and libraries,
  • crypto formats.

For detailed information see Apache Tika 1.9 .

[edit] User Experiences

[edit] Development Activity

Release Feed

Failed to load RSS feed from http://projects.apache.org/feeds/rss/tika.xml: Error fetching URL: error:1407742E:SSL routines:SSL23_GET_SERVER_HELLO:tlsv1 alert protocol version

Issues Feed

Failed to load RSS feed from https://issues.apache.org/jira/activity?maxResults=10&amp;streams=key+IS+TIKA: Error fetching URL: error:1407742E:SSL routines:SSL23_GET_SERVER_HELLO:tlsv1 alert protocol version

Contributors

CRost (28.8%), Prwheatley (9.8%), Andy Jackson (29.2%), COPTR Bot (32.3%)