Tika

Gets metadata and embedded text out of very nearly any file format.

The Tika node extracts format metadata and embedded text from virtually any file type using Apache Tika — images (EXIF), audio/video containers, PDFs and Office documents.

Kind

tika

Applies to

Image, Audio, Video, Document

Input ports

media

Output ports

content (the extracted text — connect it to Sentiment Analysis or LLM Enrichment), flags (String)

Requirements

CPU only — Apache Tika is pure JVM, no native dependency or external service.

Persists to

asset_json_comp + asset_node_result ledger

Configuration

Figure 1. The node’s settings in the pipeline editor

No custom options beyond the common node flags — Tika auto-detects the format and applies the appropriate parser.

Seeing it run

Turn on Debug Mode and every node keeps what it produced, on the card itself. Below is a real run of this node over sample.docx.

The strip on the card lists what each output port carried — flags.

Use Cases

Universal metadata extraction — pull EXIF, codec, author, page-count and similar fields across many formats in one node.
Embedded text indexing — extract text from PDFs and Office documents for search.
Format triage — a cheap first-pass over heterogeneous ingest.

Looking for something else?

All documentation Feature overview