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Reviewed · Updated 2026-06-15

Apache Tika

Open-source tool for extracting text and metadata from various document formats using AI.

Reviewed by the Conversion Gems editorial team ·
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Pricing
Free
Best for
Developers
Category
AI Development
The bottom line

The reliable open-source first pass for extracting text from any file type; pair it with newer tools for layout-aware or AI-ready output.

7.9
Our score
7.9 / 10
Conversion Gems editorial verdict
Free (Apache 2.0, open-source)
Features8/10
8 - 1,400+ formats, detection, metadata and embedded content; not AI-native.
Value10/10
10 - free Apache 2.0 workhorse.
Ease of use5/10
5 - penalized: Java toolkit, output needs post-processing, security tuning required.
Ecosystem9/10
9 - backbone of Solr/Lucene and many pipelines, very mature.
Support6/10
6 - Apache project with docs and community; no commercial support.

Community ratings

4.7/ 5 aggregate · across 1 source
G2
4.710+ reviews

Third-party ratings shown verbatim; aggregate weighted by review volume.

What it really is

An open-source Java toolkit that detects file types and extracts text and metadata from 1,000+ formats through one interface.

Our take

It is the long-standing universal ingest layer for search and data pipelines - point it at almost any document (PDF, Office, HTML, archives) and get raw text and metadata out. It is not AI-aware, so it gives you plain text, not layout-aware chunks, and untrusted files need sandboxing.

Best for
Developers building search indexing (Solr/Lucene) pipelines
Teams needing universal text/metadata extraction across many formats
First-pass ingest in RAG or data-mining workflows
Not good for
Non-developers - it is a Java toolkit, not an app
Use cases needing layout-aware parsing, tables or semantic understanding
Friction report
Time to value
Developer setup: run as a Java library or the standalone server; the app-server route gets you a parse endpoint quickly.
Scale breakpoint
Parsing untrusted or malformed files can exhaust memory or hang, so production use needs process isolation (Tika Pipes) and explicit memory/timeout limits.
Walled garden
No lock-in - Apache 2.0, fully self-hosted, with plain text and standard metadata as output.

Frequently Asked Questions

Alternatives

Step up

Unstructured - layout-aware, LLM-optimized extraction for AI/RAG pipelines.

Lighter alternative

A hosted document-parsing API - no infrastructure, pay per document.

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Tags

#DeveloperTools#LLMTools#AIInfrastructure

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