Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. 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 Condens when collaboratively analyzing qualitative data in real time 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.
UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository.
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
Condens is a user research platform that helps research teams store, analyze, share, and scale customer data in one collaborative hub. It supports importing recordings, notes, and user feedback, and provides automated multilingual transcription with AI-powered speaker recognition and automated captions. For analysis, Condens offers a split-screen interface that lets researchers review raw data and tag it simultaneously, along with AI-driven pattern identification across datasets and quick generation of evidence-backed findings. All research lives in a searchable, centralized repository with cross-project insight discovery, filtering, and role-based access control for managing confidential data. Condens emphasizes real-time collaboration, allowing multiple team members to build, edit, and tag data together, and integrates with tools such as Slack, Teams, Figma, and Miro, plus whiteboard functionality for interactive sessions. Additional AI capabilities include automated bookmarking, summarization, and pattern detection across multiple studies. Positioned as a lean, practical tool for researchers who want to move quickly, Condens aims to streamline the path from interview transcripts to shareable insights without the overhead of heavier enterprise systems. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Condens is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Condens |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Automated multilingual transcription with speaker recognition and captions |
| Standout feature | Data tagging and note organization | Split-screen interface for simultaneous data review and tagging |
| Team usage | Theme and pattern identification across research | AI-driven pattern identification across datasets |
| Integrations | Insight creation and report generation | Searchable centralized repository with cross-project discovery |
| Languages & capture | Consistent taxonomy across projects for large repositories | Real-time collaborative analysis and tagging |
| Best-fit workflow | Multi-team collaboration with research history and archival | Integrations with Slack, Teams, Figma, and Miro plus whiteboards |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Condens
Choose Condens if you need transcribing and tagging user interview recordings — strengths include fast, practical workflow from transcript to tagged insights.
Aurelius
Condens
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Condens is strong for transcribing and tagging user interview recordings. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Condens 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 Condens.
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