Hi JB
The issue you're encountering with Azure's Vision Layout service misinterpreting check-marked utilities on the second page of your PDF stems from layout interference—specifically, the proximity of unrelated text above the target section. While the first page is processed correctly, the second page fails due to this spatial overlap, which disrupts the model's ability to accurately associate checkboxes with their corresponding labels.
To address this, the first step is to identify the problematic area on the second page where the interference occurs. This typically involves analyzing the layout output from Vision to pinpoint where the text blocks are too close or overlapping. Once identified, a practical workaround is to redact or remove the interfering text before submitting the page to the Vision Layout service. This can be done programmatically using PDF processing libraries like PyMuPDF or PDFPlumber.
Optimizing the document layout is also crucial. This includes removing unnecessary elements, ensuring consistent spacing, and possibly reformatting the document to isolate form fields more clearly. After redaction and optimization, re-submit the page to the Vision Layout service and verify whether the check-marked utilities are now correctly extracted.
While redaction is a viable short-term fix, for broader scalability across varied documents, consider implementing a preprocessing pipeline that dynamically detects and isolates form sections based on layout heuristics or visual zoning. This approach can help maintain accuracy even when document structures vary.
For more on Azure's Vision Layout capabilities and best practices, you can refer to the official documentation: Azure AI Vision Documentation Hub
Thanks