How to Add Barcode Capabilities to Azure.AI.DocumentIntelligence.AnalyzeDocumentAsync() method for scanning all Barcode

Question

Hi,

I'm trying to add Barcode Feature to the AnalyzeDocumentAsync() method and its only scanning 3 barcodes on the page instead of scanning all the barcodes present. I'm using the "prebuilt-layout" as a model.

Answer 1

Hi Alizain Hirani,

Welcome to Microsoft Q&A forum. Thank you for posting your query.

Issue: Limited Barcode Detection in AnalyzeDocumentAsync() with "prebuilt-layout" Model

From your description, you are using Azure AI Document Intelligence's AnalyzeDocumentAsync() method with the "prebuilt-layout" model to scan barcodes. However, the method is detecting only three barcodes per page, rather than detecting all barcodes present.

Possible Causes of the Issue

Model Limitation – The "prebuilt-layout" model primarily focuses on extracting text, tables, and structures but is not optimized for barcode detection. It has limited barcode scanning capabilities.

Default Barcode Limit – Some models may have a limit on the number of barcodes they scan per page.

Barcode Visibility Issues – Poor image quality, orientation, or contrast can affect barcode detection.

Incorrect Model Selection – The prebuilt-layout model may not be the best for barcode scanning. Instead, Azure provides a dedicated "prebuilt-barcode" model optimized for scanning all barcodes on a document.

Solution: Use the "prebuilt-barcode" Model Instead

Since "prebuilt-layout" does not specialize in barcode detection, the recommended solution is to use the "prebuilt-barcode" model, which is specifically designed to extract all barcodes.

Steps to Implement the Solution

Modify your code to use "prebuilt-barcode" instead of __"__prebuilt-layout":

from azure.ai.documentintelligence import DocumentIntelligenceClient
from azure.core.credentials import AzureKeyCredential

# Azure AI Document Intelligence Credentials
endpoint = "https://your-resource-name.cognitiveservices.azure.com/"
key = "your-api-key"

# Initialize the Document Intelligence Client
client = DocumentIntelligenceClient(endpoint, AzureKeyCredential(key))

# Specify the document file path
file_path = "path_to_your_document.pdf"

# Read the document content
with open(file_path, "rb") as f:
    document_content = f.read()

# Analyze the document using the "prebuilt-barcode" model
poller = client.begin_analyze_document("prebuilt-barcode", document_content)
result = poller.result()

# Print the detected barcodes
for barcode in result.documents[0].fields.get("barcodes", []):
    print(f"Barcode Value: {barcode.value}")
    print(f"Barcode Type: {barcode.value_type}")

If you must use "prebuilt-layout", try the following optimizations:

Increase Image Quality: Ensure the document is scanned with higher resolution (300 DPI or higher) for better barcode recognition.

Preprocess Image with OpenCV: Adjust contrast and sharpness before sending the image to Azure.

Manually Extract More Barcodes: The response might contain a bounding box for undetected elements. Try iterating through them manually to extract more barcodes.

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

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