StenoAI and Subanana 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. 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 StenoAI when capturing and summarizing confidential meetings without sending audio to the cloud 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.
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
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
StenoAI 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.
On-device transcription with Parakeet TDT v3 (Apple Silicon) or Whisper models
AI transcription and subtitle generation across 80+ languages
Standout feature
System audio and microphone capture via native Core Audio Tap (no bots)
Strong handling of mixed Cantonese-and-English (code-switching) audio
Team usage
Real-time on-screen speaker labels distinguishing you from others
Meeting transcription with automated summaries and action items
Integrations
Local LLM summaries through Ollama, with remote Ollama server support
Real-time voice transcription with live translation
Languages & capture
25 European languages live, up to 99 languages via Whisper after recording
Automatic speaker identification
Best-fit workflow
Markdown export of transcripts and summaries
Subtitle embedding and export to .srt, .docx, .csv, and .txt
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.
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
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
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 StenoAI or Subanana 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 Subanana is strong for transcribing and summarizing cantonese-english meetings for hong kong teams. Both transcribe and summarize meetings.
How do StenoAI and Subanana compare on price?
StenoAI 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 StenoAI and Subanana?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.