Natively and Speakr 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. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. 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 Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings 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
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Configurable AI models compatible with OpenAI, OpenRouter, and local modelsCustomizable summaries plus an action-items view for decisions and tasksMulti-user support with SSO, group workspaces, and admin dashboard
Natively is a free tier with paid upgrades (freemium); Speakr 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
Self-hosted transcription with automatic language detection
Standout feature
Structured, searchable meeting notes with action items and decisions
Optional AI-powered speaker diarization
Team usage
On-demand AI assist via keyboard shortcut during calls
Customizable summaries plus an action-items view for decisions and tasks
Integrations
Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq
Per-recording chat and an Inquire Mode for semantic search across the whole library
Languages & capture
Fully local/offline option through Ollama with local data storage by default
System and browser-tab audio capture
Best-fit workflow
Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot
Multi-user support with SSO, group workspaces, and admin dashboard
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.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
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
Speakr
+ Runs entirely on the user's own infrastructure for full data control
+ Action-item extraction and per-recording chat go beyond plain transcripts
- Current releases are alpha-stage and may not be production-stable
FAQ
Is Natively or Speakr 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 Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
How do Natively and Speakr compare on price?
Natively is a free tier with paid upgrades and Speakr 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 Speakr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.