Natively and Superwhisper are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Natively: A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support. Superwhisper: Voice-to-text app for Mac, Windows, and iOS that records and transcribes meetings on-device without a bot, with speaker labels and offline processing. 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 Natively when capturing real-time transcripts and structured notes from calls without a visible bot matters most, and Superwhisper when transcribing confidential zoom, teams, or meet calls without a bot matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
A free, open-source desktop AI meeting assistant offering real-time transcription, structured notes, and on-call answers with local processing and bring-your-own-key support.
Bring-your-own-key support for Gemini, OpenAI, Claude, and GroqFully local/offline option through Ollama with local data storage by defaultOn-demand AI assist via keyboard shortcut during calls
Voice-to-text app for Mac, Windows, and iOS that records and transcribes meetings on-device without a bot, with speaker labels and offline processing.
Automatic speaker labels across longer recordingsAvailable on macOS, Windows, and iOSBot-free meeting recording and transcription captured from the device
Natively is a free tier with paid upgrades (freemium); Superwhisper is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Real-time transcription with a low-latency Rust-based audio pipeline
Bot-free meeting recording and transcription captured from the device
Standout feature
Structured, searchable meeting notes with action items and decisions
On-device, offline speech recognition that keeps audio local
Team usage
On-demand AI assist via keyboard shortcut during calls
Automatic speaker labels across longer recordings
Integrations
Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq
File transcription for MP3, MP4, M4A, WAV, and WEBM formats
Languages & capture
Fully local/offline option through Ollama with local data storage by default
Super Mode for dictating recaps and summaries
Best-fit workflow
Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot
System-wide voice typing across applications
Best for
Natively
Choose Natively if you need capturing real-time transcripts and structured notes from calls without a visible bot — strengths include free and open source with active development.
Superwhisper
Choose Superwhisper if you need transcribing confidential zoom, teams, or meet calls without a bot — strengths include records meetings without adding a visible bot to the call.
Pros & cons
Natively
+ Free and open source with active development
+ Can run entirely offline and store data locally for privacy
- Cloud models require user-supplied API keys and incur external usage costs
Superwhisper
+ Records meetings without adding a visible bot to the call
+ Offline processing keeps meeting audio off vendor servers
- Primarily a dictation tool, so meeting features are one part of a broader app
FAQ
Is Natively or Superwhisper better for AI meeting notes?
It depends on your workflow. Natively is strong for capturing real-time transcripts and structured notes from calls without a visible bot, while Superwhisper is strong for transcribing confidential zoom, teams, or meet calls without a bot. Both transcribe and summarize meetings.
How do Natively and Superwhisper compare on price?
Natively is a free tier with paid upgrades and Superwhisper 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 Natively and Superwhisper?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.