Krisp AI Meeting Assistant vs NoiseTorch-ng

Krisp AI Meeting Assistant records meetings, transcribes speech, and creates summaries, action items, decisions, and next steps. It provides speaker labels and a searchable archive, with real-time transcription in 17 languages and listed accuracy of 96%. Users can choose audio, video, or transcribe-only modes, and capture meetings without a visible bot; an optional bot is available for platforms such as Zoom. It supports Zoom, Google Meet, Microsoft Teams, Slack Huddles, and other conferencing apps. Desktop apps run on Windows and macOS, mobile apps are available for iOS and Android, and a browser extension is offered for supported browsers. Integrations include Zapier, HubSpot, Salesforce, Pipedrive, Slack, and MCP. A seven-day trial includes unlimited transcription, noise cancellation, recording, notes, and action items, with no credit card required. Annual plans cost $8 per user/month for Core and $15 per user/month for Advanced; monthly rates are $16 and $30 per user/month, respectively. Core includes 10 GB storage and Advanced 60 GB.

NoiseTorch-ng is a free, open-source Linux application that reduces microphone noise in real time. It uses RNNoise and works with PulseAudio or PipeWire, creating a virtual “Filtered Microphone” for applications such as OBS, Mumble, and Discord. The project describes setup as a two-click process and distributes the app as a small, statically linked binary. A Voice Activation Threshold can be set as high as 95%, or set to 0% to dampen noise without deactivating the microphone. Optional output filtering routes applications through a virtual “Filtered Headphones” device. Microphone filtering adds 10 ms of inherent latency; output filtering is approximately 100 ms with PulseAudio. The project reports a suspected update-server and repository breach, says no malicious code was found, and says updates are retrieved from GitHub releases. GitHub reports no SECURITY.md file or published security advisories. Troubleshooting guidance, including how to collect debug logs, is in the project wiki. The latest listed release is v0.12.2, released June 17.