Scriberr and Subanana are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. Subanana: Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support. They overlap on ai-meeting-assistants, ai-transcription, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants, ai-transcription workflows, shortlist Scriberr when privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure 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, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
AI summaries with custom prompts via Ollama or OpenAI-compatible providersAutomatic speaker diarization (who said what)Built-in audio recorder and note-taking on transcripts
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
Scriberr 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.
Local, offline transcription using Whisper models via the WhisperX engine
AI transcription and subtitle generation across 80+ languages
Standout feature
Automatic speaker diarization (who said what)
Strong handling of mixed Cantonese-and-English (code-switching) audio
Team usage
AI summaries with custom prompts via Ollama or OpenAI-compatible providers
Meeting transcription with automated summaries and action items
Integrations
Chat with your transcripts to ask questions and pull insights
Real-time voice transcription with live translation
Languages & capture
Built-in audio recorder and note-taking on transcripts
Automatic speaker identification
Best-fit workflow
Folder watcher and API endpoints for automation workflows
Subtitle embedding and export to .srt, .docx, .csv, and .txt
Best for
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
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
Scriberr
+ Fully self-hosted and offline, keeping audio and transcripts on your own hardware
+ MIT-licensed and free to run with no per-minute charges
- Active development was publicly paused by the maintainer, relying on community contributions
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 Scriberr or Subanana better for AI meeting notes?
It depends on your workflow. Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure, while Subanana is strong for transcribing and summarizing cantonese-english meetings for hong kong teams. Both transcribe and summarize meetings.
How do Scriberr and Subanana compare on price?
Scriberr 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 Scriberr and Subanana?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.