using Azure Document Intelligence to extract content from documents and would like to separate the content page by page:

• Followed this Azure AI Document Intelligence client with python

for page in result.pages:
    # Create a string to hold the Markdown content for this page
    markdown_content = ""
    
    # Iterate through each element on the page
    for element in page.lines:
        # Append each line to the markdown_content string
        markdown_content += f"{element.content}\n"
    
    # Append the markdown content to the markdown_pages list
    markdown_pages.append(markdown_content)

The below Python code extract content from documents and separates the content page by page

from azure.ai.formrecognizer import DocumentAnalysisClient
from azure.core.credentials import AzureKeyCredential

# Set up the client
endpoint ="https://your-service-endpoint.cognitiveservices.azure.com/"
api_key = "your-api-key"
client = DocumentAnalysisClient(endpoint, AzureKeyCredential(api_key))

# Analyze the document
document_url = "https://sampath1233sa23344545.blob.core.windows.net/sampathpujari/sample-layout_merged%20(1).pdf?sp=r&st=2024-04-17T11:50:23Z&se=2024-04-17T19:50:23Z&sv=2022-11-02&sr=b&sig=r6USzR4zcaECjsNw9HAbJ%2BvzRwrk3InrBmaXklxbs5c%3D"

# Begin document analysis
analysis_poller = client.begin_analyze_document_from_url("prebuilt-document", document_url)
result = analysis_poller.result()  # Wait for the analysis to complete and get the result

# Initialize a list to hold the markdown content for each page
markdown_pages = []

# Iterate through each page
for page in result.pages:
    # Create a string to hold the Markdown content for this page
    markdown_content = ""
    
    # Iterate through each element on the page
    for element in page.lines:
        # Append each line to the markdown_content string
        markdown_content += f"{element.content}\n"
    
    # Append the markdown content to the markdown_pages list
    markdown_pages.append(markdown_content)

# The markdown_pages list now contains the content of each page in Markdown format
for i, content in enumerate(markdown_pages):
    print(f"Page {i + 1}:\n{content}\n")

Output:

• Refer to this for Analyze complex documents with Azure Document Intelligence Markdown Output

According to this doc the Document Intelligence 2024-02-29-preview REST API is now available. This preview API introduces new and updated capabilities:

• Public preview version 2024-02-29-preview is currently available only in the following Azure regions:

  • East US
  • West US2
  • West Europe

Install the library using pip

pip install azure-ai-documentintelligence==1.0.0b2
pip install azure-ai-formrecognizer

• Get started with Azure AI Document Intelligence latest preview version (2024-02-29-preview) reference doc

from azure.core.credentials import AzureKeyCredential
from azure.ai.formrecognizer import DocumentAnalysisClient
from azure.core.exceptions import HttpResponseError

# Replace these values with your actual endpoint and key
endpoint = "<your-endpoint>"
key = "<your-key>"

# Sample document URL
formUrl = "https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/sample-layout.pdf"

try:
    # Create Document Analysis client
    document_analysis_client = DocumentAnalysisClient(
        endpoint=endpoint, credential=AzureKeyCredential(key)
    )

    # Analyze the document layout
    poller = document_analysis_client.begin_analyze_document_from_url('prebuilt-layout', formUrl, locale='de')
    results = poller.result()

    # Process the analysis results
    print("Document analysis results:")
    print(results)

except HttpResponseError as e:
    print("HTTP Response Error:", e.response.status_code, e.message)

except Exception as ex:
    print("An unexpected error occurred:", ex)

Output: