Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Transkriptor: AI speech-to-text platform that transcribes meetings, interviews, lectures and audio/video files into editable text in many languages. 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 Transkriptor when capturing and summarizing virtual meetings on zoom, meet or teams matters most. Run both through a week of actual calls to see which suits your workflow.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
AI speech-to-text platform that transcribes meetings, interviews, lectures and audio/video files into editable text in 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
Transkriptor is an AI-powered transcription service that converts spoken audio and video into written text. Users can upload recordings in common formats such as MP3, MP4, WAV, AAC and M4A, paste a link, record directly, or connect the tool to virtual meetings on Zoom, Google Meet and Microsoft Teams so calls are captured and transcribed automatically. The underlying speech recognition engine supports transcription across a wide range of languages and uses speaker diarization to detect and label who is speaking in multi-participant conversations. Beyond raw transcripts, Transkriptor includes an AI assistant and AI chat layer that can summarize a conversation, draft follow-up emails, extract key points and answer questions about the content of a transcript. Transcripts can be organized in folders and workspaces, edited in-browser, translated, and exported, including the ability to create SRT subtitle files for video. It is offered as a web app along with mobile apps and a Chrome extension. The product is aimed at professionals and students such as journalists, researchers, lawyers, consultants and sales teams who need to turn recorded conversations into searchable, shareable documents. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Transkriptor is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Transkriptor |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Automatic transcription of uploaded audio/video files and links |
| Standout feature | Data tagging and note organization | Direct meeting capture and transcription for Zoom, Google Meet and Microsoft Teams |
| Team usage | Theme and pattern identification across research | Speaker diarization that labels individual speakers |
| Integrations | Insight creation and report generation | Support for transcription in 100+ languages plus translation |
| Languages & capture | Consistent taxonomy across projects for large repositories | AI assistant and AI chat to summarize transcripts and answer questions |
| Best-fit workflow | Multi-team collaboration with research history and archival | SRT subtitle export and in-browser transcript editing |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Transkriptor
Choose Transkriptor if you need transcribing recorded interviews and research conversations — strengths include handles many input methods (file upload, link, recording, and live meetings).
Aurelius
Transkriptor
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Transkriptor is strong for transcribing recorded interviews and research conversations. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Transkriptor is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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