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Apache Tika

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

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.

Best forDevelopers
ReviewedPricing: Free
7.9 out of 105 criteria · see breakdown
Try ApacheFree (Apache 2.0, open-source)
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.

Our score

Reviewed by the Conversion Gems editorial team. Hover a facet to focus it; click to pin.Tap a facet to focus it.

Community ratings

Shown for context only. Our score is independent.

G2
4.7 out of 5
10+ reviews

4.7 / 5 aggregate · across 1 source

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

What it is, and why we rate it

One line each. Open a row for detail.

What it really isAn open-source Java toolkit that detects file types and extracts text and metadata from 1,000+ formats through one interface.
Our takeIt 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 / not good for

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
Trade-offs

Friction report

Trade-offs to know before signing up.

  1. Time to value
    Developer setup: run as a Java library or the standalone server; the app-server route gets you a parse endpoint quickly.
  2. 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.
  3. Walled garden
    No lock-in - Apache 2.0, fully self-hosted, with plain text and standard metadata as output.
Still a fit?
If none of these block you, start on the free plan.
Try Apache

Frequently Asked Questions

What capabilities does Apache Tika provide for content extraction?

Apache Tika provides content extraction capabilities for text, metadata, and structured data from documents.

How is Apache Tika used for content extraction?

Apache Tika is used for content extraction, parsing, and metadata analysis from documents in various formats.

What is Apache Tika used for in document processing?

Apache Tika is used for document processing, including text extraction, metadata parsing, and content analysis.

How does Apache Tika assist in content extraction?

Apache Tika assists in content extraction by detecting and extracting text and metadata from various file formats.

How does Apache Tika assist in content extraction for AI workflows?

Apache Tika assists in content extraction for AI workflows by automatically parsing documents, extracting metadata, and preparing data for analysis.

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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#DeveloperTools#LLMTools#AIInfrastructure

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