Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. StenoAI: Open-source desktop app that records, transcribes, and summarizes meetings entirely on-device with no bots, subscriptions, or cloud processing. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and StenoAI when generating diarized live transcripts during zoom, teams, or meet calls on a mac 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 desktop app that records, transcribes, and summarizes meetings entirely on-device with no bots, subscriptions, or cloud processing.
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
StenoAI (Steno) is an open-source desktop application that records meetings, transcribes them in real time, and generates AI-powered summaries while keeping all data local on the user's device. It positions itself as a privacy-first meeting notes tool with no cloud processing, no subscriptions, and no bots joining calls, and it is distributed under the MIT license with an actively maintained release history (v0.5.4 in June 2026). On Apple Silicon it can use the Parakeet TDT v3 model for live transcription, and it also supports Whisper models, capturing both system audio and microphone input via a native Core Audio Tap on recent macOS versions so it works across platforms like Zoom, Teams, Meet, Discord, and phone calls without OAuth integrations. During recording it shows live speaker labels distinguishing the user from others, and it supports 25 European languages for live transcription with up to 99 languages available via Whisper after recording. Summaries are produced with local LLMs through Ollama (for example Llama 3.2, Gemma, or Qwen), with optional remote Ollama server support to run larger models on a separate machine, and both transcripts and summaries can be exported as editable Markdown. A Windows build is in alpha alongside the primary macOS app. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); StenoAI is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | StenoAI |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | On-device transcription with Parakeet TDT v3 (Apple Silicon) or Whisper models |
| Standout feature | Data tagging and note organization | System audio and microphone capture via native Core Audio Tap (no bots) |
| Team usage | Theme and pattern identification across research | Real-time on-screen speaker labels distinguishing you from others |
| Integrations | Insight creation and report generation | Local LLM summaries through Ollama, with remote Ollama server support |
| Languages & capture | Consistent taxonomy across projects for large repositories | 25 European languages live, up to 99 languages via Whisper after recording |
| Best-fit workflow | Multi-team collaboration with research history and archival | Markdown export of transcripts and summaries |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
StenoAI
Choose StenoAI if you need capturing and summarizing confidential meetings without sending audio to the cloud — strengths include fully local, bot-free capture with no cloud processing or subscriptions for core use.
Aurelius
StenoAI
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while StenoAI is strong for capturing and summarizing confidential meetings without sending audio to the cloud. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and StenoAI 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.
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