Azure AI Document Intelligence
Azure AI Document Intelligence (formerly known as
Azure Form Recognizer
) is machine-learning based service that extracts text (including handwriting), tables or key-value-pairs from scanned documents or images.Document Intelligence supports
JPEG
,PNG
,BMP
, orTIFF
.
This current implementation of a loader using Document Intelligence
can incorporate content page-wise and turn it into LangChain documents.
%pip install --upgrade --quiet langchain langchain-community azure-ai-documentintelligence -q
[notice] A new release of pip is available: 23.3.1 -> 23.3.2
[notice] To update, run: python3 -m pip install --upgrade pip
Note: you may need to restart the kernel to use updated packages.
Example 1
The first example uses a local file which will be sent to Azure AI Document Intelligence.
With the initialized document analysis client, we can proceed to create an instance of the DocumentIntelligenceLoader:
from langchain_community.document_loaders import 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()
The default output contains one LangChain document with markdown format content:
documents
Example 2
The input file can also be URL path.
url_path = "<url>"
loader = AzureAIDocumentIntelligenceLoader(
api_endpoint=endpoint, api_key=key, url_path=url_path, api_model="prebuilt-layout"
)
documents = loader.load()
documents