Apache Tika is a content analysis toolkit for detecting file types and extracting text and metadata through a consistent interface. It recognises more than a thousand file formats, including PDFs, office documents, email messages, archives, images and multimedia files.
The toolkit is particularly useful when processing collections of documents from different sources. Rather than requiring a separate parser for each format, Tika provides a unified approach to extracting information that can subsequently be indexed, searched or analysed.
Tika is used in search engines, document management systems, digital archives and automated content-processing pipelines. It can be integrated into applications or operated as a standalone service.
This is free and open source software.
Key Features
- Identify file types by examining their contents rather than relying solely on filename extensions.
- Extract document text, metadata and embedded resources from supported formats.
- Parse Microsoft Office, OpenDocument, PDF, EPUB, HTML, XML and numerous other document formats.
- Extract EXIF, IPTC and XMP metadata from supported image formats.
- Retrieve metadata from audio and video files, including technical and descriptive information.
- Process compressed archives and recursively extract information from contained files.
- Detect the language of text using configurable language detection components.
- Support optical character recognition using Tesseract and other configured recognition engines.
- Provide optional integration with vision-language models for image and document analysis.
- Offer configurable parsers, detectors and metadata filters.
- Produce extracted content in Markdown, plain text, HTML and XML formats.
- Expose functionality through a Java API, command-line application, REST service and gRPC interface.
- Use isolated parsing processes to improve resilience when processing potentially problematic documents.
- Apply configurable limits to parsing time, memory consumption and extracted content.
- Support scalable document processing through the Tika Pipes framework.
- Cross-platform support – runs on Linux, macOS, and Windows.
Website: github.com/apache/tika
Support:
Developer: The Apache Software Foundation
License: Apache License 2.0
Tika is written in Java. Learn Java with our recommended free books and free tutorials.
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