Leading digital analytics platform for product insights and customer journey analytics
Key facts
Pricing
Freemium
Use cases
Meeting participants who require local transcription and speaker separation to maintain data privacy during digital conversations (verified: 2026-01-29), Remote workers needing to capture both microphone and system audio for comprehensive meeting documentation on their device (verified: 2026-01-29), Privacy-conscious professionals using Ollama to generate AI-powered summaries without sending sensitive information to cloud servers (verified: 2026-01-29)
Strengths
The tool performs Whisper-powered speech-to-text transcription entirely on the user's local hardware to ensure no audio data leaves the machine (verified: 2026-01-29), It automatically distinguishes between the user's voice and other meeting participants by capturing both microphone and system audio streams (verified: 2026-01-29), Users can generate intelligent meeting summaries using local Large Language Models via Ollama integration for zero cloud dependency (verified: 2026-01-29)
Limitations
The software is specifically designed for and limited to users operating on Windows and macOS desktop platforms (verified: 2026-01-29), Generating AI summaries requires the user to have Ollama set up and configured on their local machine to function (verified: 2026-01-29)
Last verified
Jan 29, 2026
Strengths
- The tool performs Whisper-powered speech-to-text transcription entirely on the user's local hardware to ensure no audio data leaves the machine (verified: 2026-01-29)
- It automatically distinguishes between the user's voice and other meeting participants by capturing both microphone and system audio streams (verified: 2026-01-29)
- Users can generate intelligent meeting summaries using local Large Language Models via Ollama integration for zero cloud dependency (verified: 2026-01-29)
Limitations
- The software is specifically designed for and limited to users operating on Windows and macOS desktop platforms (verified: 2026-01-29)
- Generating AI summaries requires the user to have Ollama set up and configured on their local machine to function (verified: 2026-01-29)
FAQ
How does Note67 handle the transcription of audio data without using cloud services?
Note67 utilizes Whisper-powered speech-to-text technology that runs entirely on your local device. This ensures that all transcription processes occur offline and no audio files or data ever leave your machine for external processing (verified: 2026-01-29).
Does the software distinguish between different speakers during a recorded meeting session?
Yes, the tool includes a speaker distinction feature that automatically separates your voice from other meeting participants. It achieves this by simultaneously capturing and processing both your microphone input and the system audio (verified: 2026-01-29).
What are the requirements for generating AI-powered summaries within the Note67 application?
To generate private AI summaries, Note67 integrates with Ollama to run local Large Language Models. This setup allows for intelligent summary generation with zero cloud dependencies, keeping all meeting insights private on your hardware (verified: 2026-01-29).
