Krisp AI Meeting Assistant vs Noise Gator

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.

Noise Gator processes microphone audio in real time to reduce noise, then sends the cleaned signal to a virtual audio device for other apps. It is free under the MIT license and runs on Windows and macOS. Discord, Teams, and Zoom are named as apps that can use the virtual device as a microphone input. DeepFilterNet is the default denoising engine, with dual-pass RNNoise as a lighter fallback. The audio pipeline also includes a highpass filter, suppression control, a voice-activity-driven noise gate, three-band EQ, and automatic gain normalization. Bluetooth headset audio is supported, and the device menu refreshes when devices connect or disconnect. The app can install VB-Cable on Windows or BlackHole on macOS automatically. Prebuilt binaries are available from GitHub Releases; the ZIP includes the executable and ONNX Runtime DLL. DeepFilterNet’s runtime and an approximately 8 MB model download on first use, with SHA256 verification. Settings are saved to a TOML file for the next launch, and headless mode supports scripted or server use. The latest listed release is v0.1.2. Building from source requires stable Rust 1.85 or later, plus MinGW-w64 or MSVC on Windows.