Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Subanana: Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Subanana when generating and exporting subtitles for video content matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support.
Aurelius is a research repository and insights platform designed for UX researchers, designers, and product teams to manage qualitative research data end to end. It sits between a note-taking tool and a full research repository: teams bring in raw data such as interview notes and transcripts, organize and tag it, and the tool surfaces patterns and helps create reusable insights over time. Core capabilities include centralized storage for research data, note organization, data tagging, theme and pattern identification, and report generation, so findings can be referenced long after a study concludes. Aurelius is built with larger research organizations in mind, supporting consistent taxonomy across projects and keeping insights discoverable as repositories grow, while also enabling multi-team collaboration and research history and archival features. Researchers describe it as a low-effort way to tag and create insights they can reference in later product discussions. The platform positions itself as an alternative to fragmented approaches that rely on spreadsheets, Confluence, or Airtable for storing research. By centralizing qualitative data and making it searchable and well-organized, Aurelius aims to ensure that interview insights remain accessible and actionable across an organization. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Subanana is an AI transcription and subtitling platform based in Hong Kong and operated by Datax AI Solutions. It positions itself as an AI subtitling and transcription tool for the Hong Kong market, handling mixed Cantonese-and-English content as well as more than 80 languages including Chinese, English, Japanese, Korean, and Thai. The platform automatically transcribes audio and video, generates and embeds subtitles, and exports results in multiple formats such as .srt, .docx, .csv, and .txt, making it useful for content creators and marketers in addition to meeting documentation. Its meeting transcription capabilities include real-time voice transcription with live translation, automatic speaker identification, automated summaries, and action items, along with support for recording Google Meet and Microsoft Teams meetings. Subanana offers a freemium model with a short free allowance before paid plans, and it is frequently presented as a local alternative to international tools and to Korean services like Clova Note for users who need strong Cantonese and code-switching handling. The product serves a broad base of individual users and teams across content, business, and remote-work scenarios. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius 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.
| Feature | Aurelius | Subanana |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | AI transcription and subtitle generation across 80+ languages |
| Standout feature | Data tagging and note organization | Strong handling of mixed Cantonese-and-English (code-switching) audio |
| Team usage | Theme and pattern identification across research | Meeting transcription with automated summaries and action items |
| Integrations | Insight creation and report generation | Real-time voice transcription with live translation |
| Languages & capture | Consistent taxonomy across projects for large repositories | Automatic speaker identification |
| Best-fit workflow | Multi-team collaboration with research history and archival | Subtitle embedding and export to .srt, .docx, .csv, and .txt |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
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.
Aurelius
Subanana
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Subanana is strong for transcribing and summarizing cantonese-english meetings for hong kong teams. Both transcribe and summarize meetings.
Aurelius 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.
Often yes: teams combine tools when one handles capture and another handles analysis.
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