Image-Heavy Presentation Detection Skill

Detecting image-heavy presentations involves analyzing the text-to-slide ratio and average text per slide. This flags files where crucial information is embedded in visuals rather than extractable text.

Presentation analysis misses key concepts from visual slides because crucial information is embedded within images rather than plain text. Low text density per slide prevents standard text extraction from capturing the full context.

The best way to enrich content for slides with low text density is using remediation options like speaker note extraction and companion summary file creation. These add descriptive text for better AI understanding.

Yes, you can extract speaker notes to provide more context for image-heavy slides. This Skill supports speaker note extraction and companion summary file creation to ensure no key concepts are missed during RAG ingestion.

Yes, this slide analysis tool works with creative pitch decks using visual mood boards. It flags slides that are primarily visual and prompts the user to add descriptive text or speaker notes for better AI understanding.

You should not rely on automated text extraction for presentation files when the text-to-slide ratio is low. In these image-heavy cases, key concepts are conveyed visually, requiring companion summary files or speaker notes for accurate ingestion.