ComponentsDocument loadersAzure Document IntelligenceOn this pageAzure Document IntelligenceAzure Document Intelligence (formerly known as Azure Forms Recognizer) is machine-learning
based service that extracts text (including handwriting), tables or key-value-pairs from
scanned documents or images.This current implementation of a loader using Document Intelligence is able to incorporate content page-wise and turn it into LangChain documents.Document Intelligence supports PDF, JPEG, PNG, BMP, or TIFF.Further documentation is available at https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/?view=doc-intel-3.1.0.%pip install langchain azure-ai-formrecognizer -qExample 1​The first example uses a local file which will be sent to Azure Document Intelligence.First, an instance of a DocumentAnalysisClient is created with endpoint and key for the Azure service.    from azure.ai.formrecognizer import DocumentAnalysisClientfrom azure.core.credentials import AzureKeyCredentialdocument_analysis_client = DocumentAnalysisClient(                endpoint="<service_endpoint>", credential=AzureKeyCredential("<service_key>")            )With the initialized document analysis client, we can proceed to create an instance of the DocumentIntelligenceLoader:from langchain.document_loaders.pdf import DocumentIntelligenceLoaderloader = DocumentIntelligenceLoader(    "<Local_filename>",    client=document_analysis_client,    model="<model_name>") # e.g. prebuilt-documentdocuments = loader.load()The output contains each page of the source document as a LangChain document: documents    [Document(page_content='...', metadata={'source': '...', 'page': 1})]PreviousAzure Blob Storage FileNextBibTeXExample 1