YouTube
YouTube transcript extraction panel with dual-engine fallback, 200-video batch processing, channel scraping, and analytics
Overview
The YouTube panel in Lite Suite extracts transcripts from YouTube videos without downloading audio. Paste a URL and get the full caption text in seconds. Optionally pass the transcript through a local or remote LLM for summarization.
Features
- Dual-engine transcript extraction with automatic fallback — if one extraction method fails, the second takes over
- Multiple output formats: plain text, timestamped text, SRT
- 200-video batch processing — process large playlists or custom video lists at scale
- Channel scraping hub — point at a YouTube channel and pull every available transcript
- Analytics dashboard with 7+ chart types including word frequency, sentiment analysis, topic clustering, and timeline visualizations
- Optional LLM summarization of extracted transcripts
Usage
Single video:
- Open a YouTube panel from the Add Panel menu
- Paste a YouTube video URL
- Select your preferred output format
- Click Extract — the transcript appears in the viewer
Batch processing:
- Paste a playlist URL or list of video URLs
- Select which videos to include
- Click Extract All — each transcript is saved as a separate file
Summarization:
- After extracting a transcript, click Summarize
- Select the LLM provider and model
- The summary appears below the raw transcript
Configuration
| Setting | Description | |---------|-------------| | Default Output Format | Plain Text, Timestamped, or SRT | | Output Directory | Where saved transcript files are written | | LLM Provider | Provider used for summarization (Claude, GPT, local) | | LLM Model | Specific model for summarization |
Requirements
- Active internet connection (transcripts are fetched from YouTube's caption API)
- Videos must have captions enabled
- An LLM API key is required only for the summarization feature
Troubleshooting
"No transcript available" for a video. The video does not have captions enabled. LiteYT does not perform speech-to-text transcription — it reads existing captions.
Transcript text is in the wrong language. If multiple caption tracks are available, a language selector appears after extraction. Select the correct track.
