Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. YOMEL: Japanese AI meeting-minutes tool that records, transcribes, and auto-summarizes online and in-person meetings. 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 YOMEL when teams needing accurate transcription of in-person and online japanese meetings 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.
Japanese AI meeting-minutes tool that records, transcribes, and auto-summarizes online and in-person meetings.
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
YOMEL is a Japanese AI meeting-minutes (議事録) service developed by PKSHA Infinity, part of the PKSHA group. It is designed to automate the work of capturing, transcribing, and summarizing meetings so teams can produce structured minutes shortly after a discussion ends. After installing a desktop or smartphone app, users start recording with one click, and YOMEL transcribes the audio, automatically identifies speakers, and generates a draft of the minutes. Its speech recognition is tuned for Japanese and aims to handle unclear or noisy audio. The tool works with major web-conferencing platforms such as Microsoft Teams, Zoom, Google Meet, and Webex, as well as in-person meetings recorded on a phone. Features include automatic summarization, custom summary formats tailored to different meeting types, key-point extraction, a registered dictionary for specialized terms, search and bulk replace, and external sharing via URL. A more recent AI chat capability lets users ask questions against their meeting logs to organize agendas and extract follow-up tasks. The company reports the service is used by thousands of companies and processes a large volume of meetings each month. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); YOMEL is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | YOMEL |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | One-click recording via desktop and smartphone apps |
| Standout feature | Data tagging and note organization | Japanese-optimized speech-to-text transcription |
| Team usage | Theme and pattern identification across research | Automatic speaker identification |
| Integrations | Insight creation and report generation | AI summarization with custom summary formats per meeting type |
| Languages & capture | Consistent taxonomy across projects for large repositories | Works with Microsoft Teams, Zoom, Google Meet, and Webex plus in-person meetings |
| Best-fit workflow | Multi-team collaboration with research history and archival | Registered dictionary, search and bulk replace, and URL-based external sharing |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
YOMEL
Choose YOMEL if you need japanese companies automating internal meeting minutes — strengths include speech recognition specifically tuned for japanese, including noisy or unclear audio.
Aurelius
YOMEL
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while YOMEL is strong for japanese companies automating internal meeting minutes. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and YOMEL is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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