Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Maestra: AI platform for transcription, subtitles, dubbing, and live captioning across many languages. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Maestra when adding live captions to webinars, streams, and meetings matters most. Try them side by side on real calls before deciding — needs vary by team.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
AI platform for transcription, subtitles, dubbing, and live captioning across many languages.
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
Maestra is an AI-powered media platform that provides transcription, subtitling, translation, and dubbing for audio and video content, both on demand and in real time. For transcription, users upload audio or video and Maestra produces speech-to-text output with features such as speaker detection, punctuation, and timestamps. The platform can auto-generate subtitles and captions, which users can edit, style, and export in multiple formats, and it can translate that text across a large set of languages. Maestra also offers live transcription for meetings, webinars, and streams, with stated integrations for platforms including Zoom and Microsoft Teams, as well as live production tools. This makes it usable both as a post-production transcription and captioning service and as a real-time captioning layer over live sessions. Maestra is aimed at media companies, content creators, marketers, and organizations that need multilingual transcripts, subtitles, and captions, and that may also want real-time captioning for live events and meetings. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Maestra is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Maestra |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | AI transcription with speaker detection, punctuation, and timestamps |
| Standout feature | Data tagging and note organization | Automatic subtitle and caption generation with editing tools |
| Team usage | Theme and pattern identification across research | Translation of transcripts and subtitles across many languages |
| Integrations | Insight creation and report generation | Real-time live transcription for meetings, webinars, and streams |
| Languages & capture | Consistent taxonomy across projects for large repositories | Integrations with live and meeting platforms such as Zoom and Microsoft Teams |
| Best-fit workflow | Multi-team collaboration with research history and archival | AI transcription with speaker detection, punctuation, and timestamps |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Maestra
Choose Maestra if you need generating multilingual subtitles for video content — strengths include covers both on-demand and real-time transcription needs.
Aurelius
Maestra
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Maestra is strong for generating multilingual subtitles for video content. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Maestra is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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