StenoAI and TwinMind are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. StenoAI: Open-source desktop app that records, transcribes, and summarizes meetings entirely on-device with no bots, subscriptions, or cloud processing. TwinMind: Browser-extension and mobile AI meeting assistant that transcribes calls in real time on-device and turns them into searchable notes. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist StenoAI when capturing and summarizing confidential meetings without sending audio to the cloud matters most, and TwinMind when professionals who want hands-free notes during back-to-back video calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Open-source desktop app that records, transcribes, and summarizes meetings entirely on-device with no bots, subscriptions, or cloud processing.
25 European languages live, up to 99 languages via Whisper after recordingLocal LLM summaries through Ollama, with remote Ollama server supportMarkdown export of transcripts and summaries
Browser-extension and mobile AI meeting assistant that transcribes calls in real time on-device and turns them into searchable notes.
AI chat to query and search past conversationsAutomatic AI summaries and action items after each meetingChrome browser extension for Google Meet, Zoom, and Microsoft Teams
StenoAI is a free tier with paid upgrades (freemium); TwinMind is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
On-device transcription with Parakeet TDT v3 (Apple Silicon) or Whisper models
Chrome browser extension for Google Meet, Zoom, and Microsoft Teams
Standout feature
System audio and microphone capture via native Core Audio Tap (no bots)
Real-time transcription with on-device audio capture (no separate meeting bot)
Team usage
Real-time on-screen speaker labels distinguishing you from others
Automatic AI summaries and action items after each meeting
Integrations
Local LLM summaries through Ollama, with remote Ollama server support
AI chat to query and search past conversations
Languages & capture
25 European languages live, up to 99 languages via Whisper after recording
Companion mobile app for in-person and on-the-go capture
Best-fit workflow
Markdown export of transcripts and summaries
Multilingual transcription across many languages
Best for
StenoAI
Choose StenoAI if you need capturing and summarizing confidential meetings without sending audio to the cloud — strengths include fully local, bot-free capture with no cloud processing or subscriptions for core use.
TwinMind
Choose TwinMind if you need professionals who want hands-free notes during back-to-back video calls — strengths include bot-free capture avoids a visible recorder joining the call.
Pros & cons
StenoAI
+ Fully local, bot-free capture with no cloud processing or subscriptions for core use
+ MIT-licensed and open source, with active 2026 releases
- Primary support is macOS on Apple Silicon; Windows build is alpha and Intel Mac support ended at v0.3.8
TwinMind
+ Bot-free capture avoids a visible recorder joining the call
+ Works across desktop browser and mobile in one product
- Browser-extension capture depends on running meetings in a supported browser
FAQ
Is StenoAI or TwinMind better for AI meeting notes?
It depends on your workflow. StenoAI is strong for capturing and summarizing confidential meetings without sending audio to the cloud, while TwinMind is strong for professionals who want hands-free notes during back-to-back video calls. Both transcribe and summarize meetings.
How do StenoAI and TwinMind compare on price?
StenoAI is a free tier with paid upgrades and TwinMind is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both StenoAI and TwinMind?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.