> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bibigpt.co/llms.txt
> Use this file to discover all available pages before exploring further.

# PPT Keyframe Extraction

> Extract lecture keyframes from scene changes in BibiGPT’s Study panel, with captions for each span, so you can skim a long class like slides.

## Overview

On a video page, open PPT extract (Beta) in the study panel and tap One-click extract. BibiGPT pulls distinct frames when the picture changes and groups the captions from that time span under each frame. Switch between PPT and APP views.

<Frame>
  <img src="https://bibigpt-apps.chatvid.ai/features/ppt-keyframe-extraction/ppt-keyframe-extraction-entry.jpg" alt="PPT extract entry in the study panel" style={{ borderRadius: '0.5rem' }} />
</Frame>

<Frame>
  <img src="https://bibigpt-apps.chatvid.ai/features/ppt-keyframe-extraction/ppt-keyframe-extraction-result.jpg" alt="Extracted keyframes with captions" style={{ borderRadius: '0.5rem' }} />
</Frame>

## Pain Point

Lecture videos are long and screenshotting slides by hand is slow. I want the core frames without watching every minute.

## Key Features

* One-click extract from the PPT extract (Beta) tab
* Frames follow real scene changes, not random stills
* Full captions for the span under each frame
* PPT and APP viewing modes

## Highlights

This keeps the original slides from the recording. It does not ask AI to invent a new deck.

## Use Cases

* Review a lecture that was mostly a slide deck
* Match a demo step’s picture with what was said
* Skim keyframes first, then watch only the sections that matter

## Tips

* Different from Generate PPT: extract keeps source frames; generate rewrites content
* Talking-head videos with little visual change yield fewer frames; slide or whiteboard classes work best

## Related Features

<CardGroup>
  <Card title="PPT Presentation" href="/en/function-usage/platform-function/ppt-presentation" />

  <Card title="Chapter Deep Reading" href="/en/function-usage/platform-function/chapter-deep-reading" />

  <Card title="Hard Subtitle OCR" href="/en/function-usage/platform-function/hard-subtitle-ocr-extraction" />
</CardGroup>

***

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