--- title: "PPTXToDocument" id: pptxtodocument slug: "/pptxtodocument" description: "Convert PPTX files to documents." --- # PPTXToDocument Convert PPTX files 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`: PPTX file paths or [`ByteStream`](../../concepts/data-classes.mdx#bytestream) objects | | **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/pptx.py |
## Overview The `PPTXToDocument` component converts PPTX files into documents. 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. ## Usage First, install the`python-pptx` package to start using this converter: ```shell pip install python-pptx ``` ### On its own ```python from haystack.components.converters import PPTXToDocument converter = PPTXToDocument() results = converter.run( sources=["sample.pptx"], meta={"date_added": datetime.now().isoformat()}, ) documents = results["documents"] print(documents[0].content) ## 'This is the text from the PPTX file.' ``` ### In a pipeline ```python from haystack import Pipeline from haystack.document_stores.in_memory import InMemoryDocumentStore from haystack.components.converters import PPTXToDocument 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", PPTXToDocument()) 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_names}}) ```