--- title: "TikaDocumentConverter" id: tikadocumentconverter slug: "/tikadocumentconverter" description: "An integration for converting files of different types (PDF, DOCX, HTML, and more) to documents." --- # TikaDocumentConverter An integration for converting files of different types (PDF, DOCX, HTML, and more) to documents.
| | | | --- | --- | | **Most common position in a pipeline** | Before [PreProcessors](../preprocessors.mdx) , or right at the beginning of an indexing pipeline | | **Mandatory run variables** | `sources`: File paths | | **Output variables** | `documents`: A list of documents | | **API reference** | [Converters](/reference/converters-api) | | **GitHub link** | https://github.com/deepset-ai/haystack/blob/main/haystack/components/converters/tika.py |
## Overview The `TikaDocumentConverter` component converts files of different types (pdf, docx, html, and others) into documents. You can use it in an indexing pipeline to index the contents of files into a Document Store. It takes a list of file paths or [`ByteStream`](../../concepts/data-classes.mdx#bytestream) objects as input and outputs the converted result as a list of documents. Optionally, you can attach metadata to the documents through the `meta` input parameter. This integration uses [Apache Tika](https://tika.apache.org/) to parse the files and requires a running Tika server. The easiest way to run Tika is by using Docker: `docker run -d -p 127.0.0.1:9998:9998 apache/tika:latest`. For more options on running Tika on Docker, see the [Tika documentation](https://github.com/apache/tika-docker/blob/main/README.md#usage). When you initialize the `TikaDocumentConverter` component, you can specify a custom URL of the Tika server you are using through the parameter `tika_url`. The default URL is `"http://localhost:9998/tika"`. ## Usage You need to install `tika` package to use the `TikaDocumentConverter` component: ```shell pip install tika ``` ### On its own ```python from haystack.components.converters import TikaDocumentConverter from pathlib import Path converter = TikaDocumentConverter() converter.run(sources=[Path("my_file.pdf")]) ``` ### In a pipeline ```python from haystack import Pipeline from haystack.document_stores.in_memory import InMemoryDocumentStore from haystack.components.converters import TikaDocumentConverter from haystack.components.preprocessors import DocumentCleaner from haystack.components.preprocessors import DocumentSplitter from haystack.components.writers import DocumentWriter document_store = InMemoryDocumentStore() pipeline = Pipeline() pipeline.add_component("converter", TikaDocumentConverter()) pipeline.add_component("cleaner", DocumentCleaner()) pipeline.add_component( "splitter", DocumentSplitter(split_by="sentence", split_length=5), ) pipeline.add_component("writer", DocumentWriter(document_store=document_store)) pipeline.connect("converter", "cleaner") pipeline.connect("cleaner", "splitter") pipeline.connect("splitter", "writer") pipeline.run({"converter": {"sources": file_paths}}) ```