
Most common position in a pipeline	Before PreProcessors or right at the beginning of an indexing pipeline
Mandatory run variables	"sources": PPTX file paths or `ByteStream` objects
Output variables	"documents": A list of documents
API reference	Converters
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 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 thepython-pptx package to start using this converter:

pip install python-pptx

On its own

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

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}})