Natively and Praiz 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. Praiz: French AI meeting recorder and conversation-intelligence platform that records and transcribes calls and meetings and feeds structured insights into the CRM for sales teams. 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 Praiz when sales teams logging meeting outcomes automatically into the crm 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
French AI meeting recorder and conversation-intelligence platform that records and transcribes calls and meetings and feeds structured insights into the CRM for sales teams.
AI agents that extract deal signals, pain points, objections and churn riskAutomated summaries and follow-up generationDeep CRM integration with custom field mapping and automated logging
Natively is a free tier with paid upgrades (freemium); Praiz 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
Recording and transcription of calls and meetings in 100+ languages
Standout feature
Structured, searchable meeting notes with action items and decisions
AI agents that extract deal signals, pain points, objections and churn risk
Team usage
On-demand AI assist via keyboard shortcut during calls
Automated summaries and follow-up generation
Integrations
Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq
Deep CRM integration with custom field mapping and automated logging
Languages & capture
Fully local/offline option through Ollama with local data storage by default
Searchable, filterable conversation data
Best-fit workflow
Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot
MCP server to connect conversation data to large language models
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.
Praiz
Choose Praiz if you need sales teams logging meeting outcomes automatically into the crm — strengths include strong crm automation across many major sales platforms.
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
Praiz
+ Strong CRM automation across many major sales platforms
+ AI agents tailored to sales frameworks and revenue insights
- Focused on sales and revenue use cases rather than general-purpose note-taking
FAQ
Is Natively or Praiz 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 Praiz is strong for sales teams logging meeting outcomes automatically into the crm. Both transcribe and summarize meetings.
How do Natively and Praiz compare on price?
Natively is a free tier with paid upgrades and Praiz 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 Praiz?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.