Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Tongyi Tingwu: Alibaba Cloud's AI assistant that transcribes, translates, and summarizes meetings and lectures in real time. 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 Tongyi Tingwu when students and educators turning lectures into searchable summarized notes 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.
Alibaba Cloud's AI assistant that transcribes, translates, and summarizes meetings and lectures in real time.
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
Tongyi Tingwu is an AI assistant from Alibaba Cloud focused on audio and video content for work and study, including meetings and lectures. It transcribes spoken audio into text, translates speech, and generates summaries using large language models, helping users record, organize, and analyze multimedia content. The service operates in real time, transcribing meetings and lectures as they happen, and it separates speakers so transcripts can attribute statements to different participants. Beyond core transcription and summarization, Tongyi Tingwu can extract structured information from recordings, including pulling slide content from video, which is useful for capturing presentations alongside spoken discussion. It supports multiple languages for transcription and translation, with strong coverage of Chinese and English among other major languages. The tool is accessible through a web interface and a browser extension, and it integrates with Alibaba's cloud ecosystem, including cloud storage. Tongyi Tingwu is aimed at professionals, students, and content creators in the Chinese market who need to efficiently turn meetings, lectures, and other audio or video into organized, searchable, and summarized text rather than reviewing recordings manually. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Tongyi Tingwu is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Tongyi Tingwu |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Real-time transcription of meetings and lectures |
| Standout feature | Data tagging and note organization | Speech translation across multiple languages |
| Team usage | Theme and pattern identification across research | LLM-based summarization of audio and video content |
| Integrations | Insight creation and report generation | Speaker separation for attributed transcripts |
| Languages & capture | Consistent taxonomy across projects for large repositories | Slide/PPT extraction from video content |
| Best-fit workflow | Multi-team collaboration with research history and archival | Web interface and browser extension access |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Tongyi Tingwu
Choose Tongyi Tingwu if you need chinese professionals transcribing and summarizing meetings in real time — strengths include backed by alibaba cloud with llm-powered summarization.
Aurelius
Tongyi Tingwu
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Tongyi Tingwu is strong for chinese professionals transcribing and summarizing meetings in real time. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Tongyi Tingwu 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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