Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Auris AI: Southeast Asia–built AI platform for transcribing audio and video, generating subtitles, and producing meeting and lecture notes across regional languages. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Auris AI when adding subtitles and captions to videos for accessibility and reach 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.
Southeast Asia–built AI platform for transcribing audio and video, generating subtitles, and producing meeting and lecture notes across regional languages.
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
Auris AI is an AI-powered transcription, subtitling, and translation platform operated by AI Communis, a company rooted in Southeast Asia. The product lets users convert audio and video recordings into editable text on a single web-based workspace, with a strong emphasis on Southeast Asian and other Asian languages including Bahasa Indonesia, Tagalog/Filipino, Vietnamese, Hindi, and several others. Beyond raw transcription, Auris AI is positioned for content workflows: it can add captions and subtitles to videos, translate spoken English into regional languages, and export the resulting text and captions for reuse. The platform lists lectures and meeting notes among its intended use cases, and its transcript editor is designed to work much like a word processor so users can correct and refine output before exporting. The service runs on cloud infrastructure in the Asia-Pacific region and the website highlights ongoing development, such as an updated subtitle editor. Auris AI is well suited to teams that operate across multiple Southeast Asian languages and need both meeting transcripts and video captioning from one tool rather than maintaining separate services for each task. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Auris AI is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Auris AI |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Audio and video transcription into editable text |
| Standout feature | Data tagging and note organization | Subtitle and caption generation for video content |
| Team usage | Theme and pattern identification across research | Translation between English and Southeast Asian languages |
| Integrations | Insight creation and report generation | Strong support for regional languages such as Bahasa Indonesia, Tagalog, and Vietnamese |
| Languages & capture | Consistent taxonomy across projects for large repositories | Web-based transcript editor that works like a document |
| Best-fit workflow | Multi-team collaboration with research history and archival | Export options for transcripts and captions |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Auris AI
Choose Auris AI if you need transcribing recorded meetings and lectures in southeast asian languages — strengths include designed around southeast asian and other asian languages rather than treating them as add-ons.
Aurelius
Auris AI
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Auris AI is strong for transcribing recorded meetings and lectures in southeast asian languages. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Auris AI is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
More head-to-head comparisons involving Aurelius and Auris AI.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. AutoMemo: Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares. Below, they line up on price, capture method, and how each fits a real meeting stack.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Ava: AI live captioning and transcription app for accessibility, providing real-time captions for conversations and video meetings. This comparison weighs them on pricing, features, and everyday workflow fit.
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Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Basil AI: On-device AI note taker for Apple devices that transcribes and summarizes meetings entirely offline, with no cloud upload. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. BeAware Conference Captioning: AI real-time captioning and translation app for live in-person and hybrid events, with on-screen overlays and multilingual attendee access. Below, they line up on price, capture method, and how each fits a real meeting stack.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Bee: Wearable AI device that captures spoken conversations and turns them into transcripts, summaries, and reminders. This comparison weighs them on pricing, features, and everyday workflow fit.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Beey: Web app for automatic transcription, subtitle creation, translation, and live transcription. Below, they line up on price, capture method, and how each fits a real meeting stack.
123 Notetaker AI: Microsoft Teams marketplace app from BlueSky Apps that shows live transcription in the Teams sidebar and emails AI meeting notes afterward. Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.