# PDF Search

**URL:** <https://discuss.elastic.co/t/pdf-search/147820>\
**Category:** Elasticsearch\
**Created:** [September 8, 2018, 2:27pm UTC](https://discuss.elastic.co/t/pdf-search/147820 "2018-09-08T14:27:07Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![ai\_thoughts](https://avatars.discourse-cdn.com/v4/letter/a/da6949/32.png) [@ai\_thoughts](https://discuss.elastic.co/u/ai_thoughts)\
**Post date:** [September 8, 2018, 2:27pm UTC](https://discuss.elastic.co/t/pdf-search/147820/1 "2018-09-08T14:27:07Z")

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I am looking into handrolling a large pdf document search via Elastic Search. I am looking into Apache Tika for parsing and then indexing it via Elastic Search. The question is, if I have to locate the specific sections within the pdf - how would I go about it ? My thinking is I would need to break the pdf down into multiple sections before indexing. Appreciate any pointers, if there are any plugins available.

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**Author:** ![loren](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/loren/32/44942_2.png) [@loren](https://discuss.elastic.co/u/loren)\
**Post date:** [September 8, 2018, 2:55pm UTC](https://discuss.elastic.co/t/pdf-search/147820/2 "2018-09-08T14:55:30Z")

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There's [this plugin](https://www.elastic.co/guide/en/elasticsearch/plugins/master/ingest-attachment.html) that will attempt to extract `content` , `title` , `name` , `author` , `keywords` , `date` , `content_type` , `content_length` , and `language`.

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**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [October 6, 2018, 2:55pm UTC](https://discuss.elastic.co/t/pdf-search/147820/3 "2018-10-06T14:55:34Z")

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