Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Yating: Taiwan-built AI speech-to-text app for classes, meetings, and interviews, optimized for Taiwanese-accent Mandarin and Mandarin-English code-switching. 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 Yating when professionals capturing meetings and interviews in taiwan 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.
Taiwan-built AI speech-to-text app for classes, meetings, and interviews, optimized for Taiwanese-accent Mandarin and Mandarin-English code-switching.
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
Yating is an AI speech-to-text application developed by AILabs, a privately funded Taiwan-based company, and is described as a handy tool for classes, meetings, interviews, and everyday moments worth saving. It converts speech and voice to text and is notable for being optimized for languages and accents commonly used in Taiwan, handling Mandarin, Taiwanese, English, Japanese, and Cantonese, including sentences that switch between Chinese and English mid-thought. The app offers live transcription that can dictate audio from a microphone in real time as well as transcription of recorded audio and uploaded audio or video files. It includes a subtitle mode for accessibility, speaker identification with timestamps, and is available across mobile, web, and a Chrome plugin. An API is offered for batch processing and automatic speech recognition, and the company emphasizes a privacy-focused approach, stating it does not sell user data and that its technology and data are developed locally in Taiwan. Yating is named after a professional shorthand typist, reflecting its goal of accurate, fast transcription. The application remains active with recent updates, and it is positioned for students, podcasters, researchers, data analysts, and people who are hard of hearing. A free tier is available on iPhone alongside other offerings. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Yating is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Yating |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Live microphone transcription plus transcription of recorded and uploaded files |
| Standout feature | Data tagging and note organization | Optimized for Taiwanese-accent Mandarin and Mandarin-English code-switching |
| Team usage | Theme and pattern identification across research | Support for Mandarin, Taiwanese, English, Japanese, and Cantonese |
| Integrations | Insight creation and report generation | Speaker identification with timestamps |
| Languages & capture | Consistent taxonomy across projects for large repositories | Subtitle mode for accessibility |
| Best-fit workflow | Multi-team collaboration with research history and archival | Cross-platform: mobile, web, and Chrome plugin |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Yating
Choose Yating if you need students transcribing lectures and classes in mandarin or mixed mandarin-english — strengths include strong handling of taiwanese-accent mandarin and chinese-english code-switching.
Aurelius
Yating
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Yating is strong for students transcribing lectures and classes in mandarin or mixed mandarin-english. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Yating 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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