Krisp Voice Isolation vs Sencial API

Krisp Voice Isolation is a real-time voice model in Krisp VIVA, infrastructure for voice AI agents. It separates a main speaker from other voices, background chatter, and room echo before audio reaches speech-to-text processing. Krisp says Voice Isolation 2.5 runs on CPU with 15 ms latency and reduced word errors by 46% in its benchmark. The VIVA SDK also includes Turn Prediction, Interruption Prediction, Voice Activity Detection, and detectors for accent, gender, and synthetic speech. It runs server-side on premises or in a customer's cloud, ahead of the speech-to-text engine, and is designed to work with any STT engine. Listed integrations include LiveKit, Pipecat, and raw WebRTC pipelines. SDKs are listed for Python, Node.js, Go, and iOS; input and output are PCM S16LE, 16 kHz mono. The broader AI Voice SDK library supports Windows, Mac, Linux, web, iOS, and Android.

Sencial API is an audio-processing API that provides REST endpoints for separating, detecting, isolating, and analyzing sound. Its /v1/separate endpoint creates 2, 4, or 6 audio stems with lossless export. Scene detection classifies acoustic environments in real time, while isolation endpoints can focus on or suppress selected sources and enhance voices against background noise. The diarization endpoint separates and labels multiple speakers, and voice embeddings return 512-dimensional vectors for matching and clustering. WebSocket endpoints support low-latency streaming, and the Jobs API handles asynchronous work through polling or webhook notifications. Developers receive API documentation, a quick-start guide, and Python, JavaScript, and cURL examples. The free Starter plan includes 10 minutes of monthly processing, all endpoints, and 128 kbps MP3 output without a credit card. Developer costs $49 per month, with 300 minutes, real-time processing, WAV/FLAC output, and $0.20-per-minute overages. Enterprise pricing is custom.