Convert PowerPoint decks to LLM-friendly text

The specific problem with PowerPoint decks

Slide text is fragments rather than sentences, written to be spoken over rather than read alone. The speaker notes frequently carry more actual meaning than the slide, and the layout that made the argument legible, the arrows, the grouping, the build order, does not survive extraction at all.

• Include the speaker notes. On most decks they are the only complete prose in the file.
• Keep slide numbers and titles as separators, so the model can tell where one idea ends.
• Describe diagrams and charts in a sentence each, since the extracted text will otherwise be a list of disconnected labels.
• Drop the title, agenda, and thank-you slides, which carry no information and cost tokens anyway.

What LLM-friendly text means

LLM-friendly text is not just extracted text. It is labeled, grouped, and ordered so the model can tell where each section came from and how it relates to the task.

Riflet focuses on building that context file from mixed sources, not only converting one isolated file.

Workflow

Use the conversion as part of a complete context bundle.

• Add your PowerPoint decks to Riflet.
• Add supporting notes, briefs, or source files if they explain the document.
• Remove sections that do not matter for the question.
• Export Markdown or text for your AI tool.

Quality checks

Slide text is useful context. Visual design details and screenshots may need written descriptions for best results.

After export, skim the headings and source boundaries. The best bundle should make sense to a human before it goes to an AI.