Hi Luzuko Yena,

Yes, it is possible to extract only tables using Azure AI Document Intelligence.

Azure AI Document Intelligence provides multiple models to analyze documents, such as:

·       Prebuilt Layout Model

·       Prebuilt Document Model

·       Custom Models

To extract only tables, you should use the Layout Model, which is designed for this purpose.

What it does:

·       Extracts text lines

·       Extracts tables (structure + cell content)

·       Extracts selection marks (checkboxes)

 It does not extract key-value pairs or entities — perfect if you're only focused on layout elements like tables.

To Use (via REST API / SDKs / Azure Portal)

Example using Python SDK:

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

endpoint = "https://.cognitiveservices.azure.com/"
key = ""

document_analysis_client = DocumentAnalysisClient(
    endpoint=endpoint, credential=AzureKeyCredential(key)
)

# Use layout model
poller = document_analysis_client.begin_analyze_document(
    "prebuilt-layout", document=open("your_file.pdf", "rb")
)
result = poller.result()

# Extract tables only
for table in result.tables:
    print(f"\nTable with {table.row_count} rows and {table.column_count} columns")
    for cell in table.cells:
        print(f"Cell [{cell.row_index}, {cell.column_index}] - content: '{cell.content}'")

Hope this helps. Do let me know if you any further queries.

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Thank you!