Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. OpenWhispr: Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and OpenWhispr when turning rough in-meeting notes into structured summaries and action items 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.
Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes.
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
OpenWhispr is an open-source desktop application for macOS, Windows, and Linux that converts speech to text and includes a meeting notes capability built on the same engine. Its core function is global-hotkey dictation that inserts transcribed text at the cursor in any application, but it also ships an AI Notepad for meetings, an AI Chat that can reference past meetings, and an audio upload feature for transcribing recorded files. For meetings it captures the computer's audio directly rather than sending a bot into the call, transcribes the conversation in the background, and combines rough notes with the transcript to produce structured minutes that highlight decisions, action items, and next steps. Transcription can run locally using bundled Whisper and NVIDIA Parakeet models or connect to cloud models with a bring-your-own-key setup, and the project emphasizes that audio can be processed and discarded for privacy. The codebase is publicly available on GitHub and the app is actively maintained through 2026. It is aimed at developers, writers, and individuals or small teams who want a private, auditable, cross-platform transcription and meeting-notes tool. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); OpenWhispr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | OpenWhispr |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Open-source and auditable, with code published on GitHub |
| Standout feature | Data tagging and note organization | Cross-platform desktop app for macOS, Windows, and Linux |
| Team usage | Theme and pattern identification across research | Local transcription via bundled Whisper and NVIDIA Parakeet models |
| Integrations | Insight creation and report generation | Bring-your-own-key cloud model option for flexibility |
| Languages & capture | Consistent taxonomy across projects for large repositories | AI Notepad that turns rough meeting notes plus transcript into structured minutes |
| Best-fit workflow | Multi-team collaboration with research history and archival | Full-text search and AI Chat across captured meetings |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
OpenWhispr
Choose OpenWhispr if you need privately transcribing computer-audio meetings without a bot joining the call — strengths include fully open source, so users can inspect and self-host the code.
Aurelius
OpenWhispr
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and OpenWhispr 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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