Analyze Decision Letter Variability to Improve PDF-to-HTML Conversion

[meganhicks]

As a VRO team member working on PDF-to-HTML conversion,
I want to analyze variability in decision letter formatting and text that Gabriel/Ponnia discovered as part of their work in #4134
so that we can understand inconsistencies and ensure our solution dynamically handles variations in structure and content.

Acceptance Criteria:

• Generate a sample set of decision letters for prototype testing purposes. Samples should include all variability.
• Analyze variability patterns like missing headers, unexpected line breaks, varying font sizes, or unusual text placement.
• Flag patterns that could frequently cause misinterpretations during HTML rendering
• For the patterns, what is the data attached to it and how often does it change?
• present findings to the team and share with @bianca-rivera

[meganhicks]

@gabezurita @Ponnia-M can you attach findings to this?

[bianca-rivera]

From @amylai-va : Investigate variances in rating decisions