Scraper
Audio Processing
Sentinel AI can transcribe and analyze audio content from Telegram voice messages and Discord voice channels, extracting CAs and alpha from conversations that most tools completely miss.
Supported Audio Sources
| Source | Platform | Description |
|---|---|---|
| Voice messages | Telegram | Audio messages sent in groups |
| Voice channels | Discord | Live voice conversations in servers |
| Audio files | All | Uploaded audio/video files |
How It Works
- Capture: Sentinel captures audio from connected sources in real time
- Transcribe: AI speech-to-text converts audio to text
- Extract: The transcribed text is analyzed for CAs, token names, and alpha
- Validate: Detected CAs are verified on-chain
- Deliver: Results appear in your feed with an audio source tag
Features
Real-Time Transcription
Audio is transcribed as it happens. You don't need to wait for a recording to finish. As soon as a CA is mentioned in a voice chat, Sentinel detects it.
Multi-Language Support
The transcription engine supports multiple languages, ensuring you can capture alpha from international communities.
Source Attribution
Every CA extracted from audio is tagged with:
- The source platform and channel
- Timestamp of when it was mentioned
- Context snippet from the transcription
Enabling Audio Processing
- Go to Settings, then Platform Connections
- Select the platform (Telegram or Discord)
- Enable Audio Monitoring for each source
- Configure audio-specific filters in Settings, then Smart Filtering
Note: Audio processing requires additional CPU resources. A quad-core processor is recommended when using this feature extensively.