Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Typist: AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy. 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 Typist when generating srt or webvtt captions for podcasts and videos matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy.
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
Typist is an AI transcription service that converts audio and video files into text and caption files. Users upload recordings in common formats such as MP3, MP4, M4A, WAV, OGG, FLAC, and WebM, and Typist returns a transcript that can be exported to DOCX, SRT subtitles, WebVTT captions, PDF, or plain text. The platform offers multiple transcription models, described as Turbo for speed, Pro for a balance of speed and accuracy, and Studio for the highest accuracy, with the Studio tier adding speaker identification. Typist supports a wide range of languages and accents and provides word-level and segment-level timestamps, which makes it suitable for producing subtitles that import cleanly into video editors. The product positions itself around fast turnaround for pre-recorded content and predictable, credit-based usage. Its documented use cases span lectures, podcasts, interviews, research and client calls, and consulting meetings, alongside students, therapists, and video editors. A free tier with a limited number of minutes lets new users try the service before moving to paid plans, and a web dashboard handles uploads, transcription, and exports. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Typist is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Typist |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Audio and video to text transcription across many file formats |
| Standout feature | Data tagging and note organization | Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT |
| Team usage | Theme and pattern identification across research | Multiple transcription models trading off speed and accuracy |
| Integrations | Insight creation and report generation | Speaker identification on the highest-accuracy tier |
| Languages & capture | Consistent taxonomy across projects for large repositories | Word-level and segment-level timestamps for clean subtitle timing |
| Best-fit workflow | Multi-team collaboration with research history and archival | Support for a wide range of languages and accents |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Typist
Choose Typist if you need transcribing recorded interviews and research or client calls — strengths include clean subtitle exports (srt and webvtt) that import into video editors.
Aurelius
Typist
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Typist is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
More head-to-head comparisons involving Aurelius and Typist.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Auris AI: Southeast Asia–built AI platform for transcribing audio and video, generating subtitles, and producing meeting and lecture notes across regional languages. The right pick comes down to team size, budget, and the workflows you want to automate.
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Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. BeAware Conference Captioning: AI real-time captioning and translation app for live in-person and hybrid events, with on-screen overlays and multilingual attendee access. Below, they line up on price, capture method, and how each fits a real meeting stack.
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