Natively and Subanana 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. Subanana: Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support. 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 Subanana when transcribing and summarizing cantonese-english meetings for hong kong teams 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
Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support.
AI transcription and subtitle generation across 80+ languagesAutomatic speaker identificationMeeting transcription with automated summaries and action items
Natively is a free tier with paid upgrades (freemium); Subanana 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
AI transcription and subtitle generation across 80+ languages
Standout feature
Structured, searchable meeting notes with action items and decisions
Strong handling of mixed Cantonese-and-English (code-switching) audio
Team usage
On-demand AI assist via keyboard shortcut during calls
Meeting transcription with automated summaries and action items
Integrations
Bring-your-own-key support for Gemini, OpenAI, Claude, and Groq
Real-time voice transcription with live translation
Languages & capture
Fully local/offline option through Ollama with local data storage by default
Automatic speaker identification
Best-fit workflow
Works alongside Zoom, Google Meet, and Microsoft Teams without a visible bot
Subtitle embedding and export to .srt, .docx, .csv, and .txt
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.
Subanana
Choose Subanana if you need transcribing and summarizing cantonese-english meetings for hong kong teams — strengths include built for the hong kong market with strong cantonese and code-switching support.
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
Subanana
+ Built for the Hong Kong market with strong Cantonese and code-switching support
+ Covers both subtitling/content workflows and meeting transcription
- Free allowance is limited before requiring a paid plan
FAQ
Is Natively or Subanana 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 Subanana is strong for transcribing and summarizing cantonese-english meetings for hong kong teams. Both transcribe and summarize meetings.
How do Natively and Subanana compare on price?
Natively is a free tier with paid upgrades and Subanana 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 Subanana?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.