Microsoft PowerPoint
Microsoft PowerPoint is a presentation program by Microsoft.
This covers how to loadMicrosoft PowerPoint
documents into a document format that we can use downstream.
Please seethis guide for more instructions on setting up Unstructured locally, including setting up required system dependencies.
# Install packages
%pip install unstructured
%pip install python-magic
%pip install python-pptx
from langchain_community.document_loadersimport UnstructuredPowerPointLoader
loader= UnstructuredPowerPointLoader("./example_data/fake-power-point.pptx")
data= loader.load()
data
[Document(page_content='Adding a Bullet Slide\n\nFind the bullet slide layout\n\nUse _TextFrame.text for first bullet\n\nUse _TextFrame.add_paragraph() for subsequent bullets\n\nHere is a lot of text!\n\nHere is some text in a text box!', metadata={'source': './example_data/fake-power-point.pptx'})]
Retain Elements
Under the hood,Unstructured
creates different "elements" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifyingmode="elements"
.
loader= UnstructuredPowerPointLoader(
"./example_data/fake-power-point.pptx", mode="elements"
)
data= loader.load()
data[0]
Document(page_content='Adding a Bullet Slide', metadata={'source': './example_data/fake-power-point.pptx', 'category_depth': 0, 'file_directory': './example_data', 'filename': 'fake-power-point.pptx', 'last_modified': '2023-12-19T13:42:18', 'page_number': 1, 'languages': ['eng'], 'filetype': 'application/vnd.openxmlformats-officedocument.presentationml.presentation', 'category': 'Title'})
Using Azure AI Document Intelligence
Azure AI Document Intelligence (formerly known as
Azure Form Recognizer
) is machine-learningbased service that extracts texts (including handwriting), tables, document structures (e.g., titles, section headings, etc.) and key-value-pairs fromdigital or scanned PDFs, images, Office and HTML files.Document Intelligence supports
JPEG/JPG
,PNG
,BMP
,TIFF
,HEIF
,DOCX
,XLSX
,PPTX
andHTML
.
This current implementation of a loader usingDocument Intelligence
can incorporate content page-wise and turn it into LangChain documents. The default output format is markdown, which can be easily chained withMarkdownHeaderTextSplitter
for semantic document chunking. You can also usemode="single"
ormode="page"
to return pure texts in a single page or document split by page.
Prerequisite
An Azure AI Document Intelligence resource in one of the 3 preview regions:East US,West US2,West Europe - followthis document to create one if you don't have. You will be passing<endpoint>
and<key>
as parameters to the loader.
%pip install--upgrade--quiet langchain langchain-community azure-ai-documentintelligence
from langchain_community.document_loadersimport AzureAIDocumentIntelligenceLoader
file_path="<filepath>"
endpoint="<endpoint>"
key="<key>"
loader= AzureAIDocumentIntelligenceLoader(
api_endpoint=endpoint, api_key=key, file_path=file_path, api_model="prebuilt-layout"
)
documents= loader.load()
Related
- Document loaderconceptual guide
- Document loaderhow-to guides