Demixr vs Krisp Voice Isolation

Demixr is a web service for processing audio, with tools for separating vocals and instruments, removing reverb, marking speech, and analyzing BPM and key. Its Pro 1.5 vocal separation has Voice mode for complex mixes, live recordings, or speech over music, and Music mode for songs and covers or separating vocals from accompaniment. A separate stem tool uses Demucs to split music into vocals, drums, bass, and other parts. For dereverb, Demixr recommends isolating vocals first; applying the effect to a mixed track can cause artifacts or distortion. VAD provides editable speech-segment markers and batch export, though detection may be inaccurate with quiet vocals or noisy recordings. BPM analysis includes tempo, key, and Camelot values, with optional tap-to-sync. The free plan costs nothing and includes 10 minutes of audio monthly, a 10 MB upload limit, two VAD uses, queued processing, and no WAV downloads. Paid one-time plans start at $4/mo, without automatic renewal. Uploads and outputs are deleted within 24 hours by default.

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.