# Apache Tika

## <img src="/files/nKmpNZ7nMsLxJt1j9Dte" alt="" data-size="line"> Apache Tika

### Description <a href="#description" id="description"></a>

The Apache Tika transform parses files in all sorts of formats and extracts the text content as well as available metadata it can extract. This transform uses the [Apache Tika](http://tika.apache.org) libraries to do the parsing.

The extracted metadata is given in JSON format. If you need specific pieces of information from this metadata, you can extract those with a [JSON Input](/data-shaper-1.21/knowing-the-data-shaper-designer/pipelines/transforms/jsoninput.md) transform.

### Supported Engines <a href="#supported_engines" id="supported_engines"></a>

| Hop Engine | <sup>✓</sup> |
| ---------- | ------------ |
| Spark      | ?            |
| Flink      | ?            |
| Dataflow   | ?            |

### Options

| Option            | Description                                                                                                     |
| ----------------- | --------------------------------------------------------------------------------------------------------------- |
| Transform name    | Name of the transform. Note: This name has to be unique in a single pipeline.                                   |
| File tab          | Here you can specify which files will be read and examined.                                                     |
| Content tab       | This tab has various content settings. For example, you can specify the file encoding, output format and so on. |
| Output fields tab | On this tab you can simply type in the names of the fields you want in the output.                              |


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