content-analyzer

To suggest slide layouts from content, you can use a deterministic content analyzer to extract layout decision features like section types and data density. This generates a ContentAnalysisResult with metrics and grid recommendations for your presentation.

Deterministic content analysis is a processing pipeline that quantifies slide structure, section types, and data density without relying on LLMs. It outputs objective metrics to guide template choices and capacity estimates across design workflows.

You can estimate visual complexity and content volume by running slide content through a deterministic analysis pipeline. The process outputs a ContentAnalysisResult containing specific metrics like data density and logical structures to inform your design.

No, you do not need LLMs to generate layout decisions and grid suggestions. This deterministic content analyzer processes page content directly to extract layout features and output metrics without relying on language models.

Yes, you can use content analysis to pick optimal presentation templates based on data density. The analyzer outputs section-type distribution and content volume metrics, enabling informed and consistent template choices across your deck.