: Each embedded object maintains its own metadata (e.g., the creation date of an image inside a Word doc) and content.
Apache Tika is the industry standard for content detection and text extraction. While many use the Tika Java library directly, running it as a standalone server (Tika Server) is the preferred method for microservices and non-Java applications.
Full text extraction for search indexing and analytics.
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: Essential for "deep" analysis where you need to preserve the relationship between a parent document and its children. 3. The /unpack Endpoint: Extracting Raw Assets
In this guide, we compare the four main Tika Server endpoints— /tika , /rmeta , /unpack , and /detect —to help you choose the right tool for the job.
Deep analysis or manual inspection of individual file components.