
When to use cloud vs serverless WebRTC, for voice agents and conversational AI.
We carefully develop APIs to be simple and streamlined, making it easy to add great audio to your product.
Select music or voice modes for audio, or take low-level control and customize bitrates and audio processing.
Krisp’s advanced noise cancellation technology uses AI to eliminate background noise, making clear conversations possible in any environment.
Record audio sessions locally or in the cloud, or send raw tracks directly to your S3 bucket.
Reach millions by streaming your rooms over HLS or RTMP, all with one line of code.
Build spatial audio experiences. Selectively subscribe to tracks, adjust volume levels based on proximity, and integrate audio into 3D worlds.
Daily’s APIs provide easy integration with hosted AI services, LLMs, and proprietary ML infrastructure. Standard AI features include transcription and noise cancellation.
Access raw audio tracks to implement your own pre- or post-processing.
When to use cloud vs serverless WebRTC, for voice agents and conversational AI.
Build voice agents with accurate turn detection. Open source, native audio semantic VAD.
My top three pieces of advice for people getting started with voice agents. 1. Spend time up front understanding why latency and instruction following accuracy drive voice AI tech choices. 2. You will need to add significant tooling complexity as you go from proof of concept to production. Prepare for that. Especially important: build lightweight evals as early as you can. 3. The right path is: start with a proven, "best practices" tech stack -> get everything working one piece at a time ->