Working with WHIP and Stream Forwarding
· 13 min read
If you're building intelligent audio/video solutions - think real-time transcription, vision analytics, or smart moderation - you'll want an efficient way to get your audio/video streams for AI processing. Our platform makes this simple using WHIP (WebRTC-HTTP Ingestion Protocol), designed for low-latency media processing.
What Is WHIP?
WHIP is a straightforward signaling protocol that uses standard HTTP methods (like POST and DELETE) to establish and manage a WebRTC media session between a client and a media server.
By standardizing the signaling process, WHIP simplifies media ingestion—making it easier to integrate into workflows where audio or video streams are forwarded for processing, such as AI pipelines.
Benefits for AI Streaming
- Low latency: WHIP leverages WebRTC for real-time media transport, ensuring minimal delay.
- Scalability: Efficient HTTP-based signaling makes it easy to manage thousands of sessions.
- Compatibility: WebRTC peer connections integrate seamlessly with AI pipelines like GStreamer, FFmpeg, or custom ML models.