Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Wavel AI: Wavel AI is an AI media platform that transcribes uploaded audio and video into speaker-labeled, editable, and translatable transcripts, with note and summary generation. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Wavel AI when turning recorded meetings and calls into editable, shareable transcripts and summaries 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.
Wavel AI is an AI media platform that transcribes uploaded audio and video into speaker-labeled, editable, and translatable transcripts, with note and summary generation.
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
Wavel AI is an AI-powered media platform whose transcription product converts uploaded audio and video into written text, automatically detecting and differentiating multiple speakers so transcripts are easy to follow. It is aimed at content creators, marketing and L&D teams, interviewers, and enterprises that need to capture meetings, interviews, lectures, and other recorded conversations. Users add media by uploading from their device, pasting a link, or importing from Google Drive, Dropbox, or YouTube, and can choose automatic AI transcription or a slower human-reviewed option. A built-in editor lets users correct text, fix punctuation, and adjust timestamps, while a summary feature can generate structured notes that highlight key points and discussion items. Transcripts and notes can be exported in formats such as DOCX, TXT, and PDF for sharing or archiving. Wavel supports dozens of languages and accents and can translate transcripts, and it sits alongside the broader Wavel suite for subtitling, dubbing, voiceover, and video editing. It runs on a freemium model with paid subscription tiers.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Wavel AI is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Wavel AI |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Automatic speech-to-text transcription of uploaded audio and video |
| Standout feature | Data tagging and note organization | Speaker detection and identification for multi-participant recordings |
| Team usage | Theme and pattern identification across research | AI summary and structured note generation highlighting key points |
| Integrations | Insight creation and report generation | Built-in editor for correcting text, punctuation, and timestamps |
| Languages & capture | Consistent taxonomy across projects for large repositories | Multilingual transcription and translation across dozens of languages and accents |
| Best-fit workflow | Multi-team collaboration with research history and archival | Export of transcripts and notes to DOCX, TXT, and PDF |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Wavel AI
Choose Wavel AI if you need transcribing recorded interviews so interviewers can focus on the conversation instead of note-taking — strengths include combines transcription with translation, subtitling, dubbing, and voiceover in one platform.
Aurelius
Wavel AI
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Wavel AI is strong for transcribing recorded interviews so interviewers can focus on the conversation instead of note-taking. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Wavel AI 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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