Denoise vs Krisp Voice Isolation

Denoise is an audio cleanup app for Android and iOS that uses an on-device neural network to reduce wind, traffic, hiss, hum, and crowd noise in voice memos, interviews, and videos. Processing runs locally, including in airplane mode, and a one-minute clip typically takes 5–10 seconds. Users can import recordings from Voice Memos, Photos, Files, or an app share sheet; supported inputs include MP4, M4A, MP3, and WAV. The free plan lets users import, process, and hear a before-and-after preview, but saving and export require Pro. Pro can export M4A, MP3, or WAV, replace audio inside a video, restore detail in clipped, muffled, or distant recordings, and separate vocals from instrumental tracks on-device. Audio tools include a 5-band EQ with presets and automatic LUFS normalization. There is no file-length limit, including for recordings up to a three-hour lecture. Routes Software says recordings are neither uploaded nor stored, and the app has no user accounts. Google Firebase collects anonymous usage analytics and crash and diagnostic reports. Pro costs $2.99 a month or $14.99, paid once for lifetime access.

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.