Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Letterly: Letterly is a multilingual AI speech-to-text app that turns dictated speech into polished notes, emails, summaries, and meeting transcripts across iOS, Android, Mac, Windows, and Web. 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 Letterly when transcribing and summarizing meetings or interviews with speaker separation 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.
Letterly is a multilingual AI speech-to-text app that turns dictated speech into polished notes, emails, summaries, and meeting transcripts across iOS, Android, Mac, Windows, and Web.
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
Letterly is a voice-to-text application that converts spoken words into clean, structured written text. Aimed at professionals, students, content creators, and anyone who prefers talking to typing, it lets users record speech directly in the app or dictate into other apps, then automatically transcribes the audio. Beyond raw transcription, Letterly applies AI rewriting so a single recording can become an email, a summary, a social post, a task list, a journal entry, or a meeting recap, using preset styles or custom instructions. It automatically detects and transcribes a wide range of languages and can handle mid-sentence language switching. For meetings and interviews, it offers speaker separation and can generate summaries from a recording. The app supports extended recordings, offline and screen-off dictation, quick-record widgets, and live sync across devices, including Apple Watch. It also integrates with external tools via Zapier and webhooks. Letterly states that user data is kept private and not used to train AI models. It runs on iOS, Android, Mac, Windows, and Web.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Letterly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Letterly |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Automatic speech-to-text transcription of recorded or dictated audio |
| Standout feature | Data tagging and note organization | AI rewriting into multiple formats (emails, summaries, posts, task lists, journal entries) |
| Team usage | Theme and pattern identification across research | Multilingual transcription with automatic language detection and mid-sentence switching |
| Integrations | Insight creation and report generation | Meeting/interview support with speaker separation and summary generation |
| Languages & capture | Consistent taxonomy across projects for large repositories | Offline and screen-off recording, plus quick-record widget and Apple Watch dictation |
| Best-fit workflow | Multi-team collaboration with research history and archival | Cross-device sync and integrations via Zapier and webhooks |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Letterly
Choose Letterly if you need dictating and polishing emails, messages, and notes faster than typing — strengths include broad multilingual coverage with automatic language detection.
Aurelius
Letterly
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Letterly is strong for dictating and polishing emails, messages, and notes faster than typing. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Letterly 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.
More head-to-head comparisons involving Aurelius and Letterly.
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.
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.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Aviso AI: End-to-end AI revenue platform whose conversation intelligence records and analyzes sales calls and meetings for B2B revenue teams. The right pick comes down to team size, budget, and the workflows you want to automate.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. BB Recorder: A 100% local, no-bot meeting recorder for Mac and iOS that records, transcribes, and summarizes entirely on-device, built by the BuildBetter team. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Backtrack: An AI meeting intelligence tool for trade shows and hosted buyer events that captures 1:1 conversations and turns them into CRM-ready notes and insights. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Balto: Real-time AI guidance and agent-assist platform that coaches contact-center and sales agents live during calls. 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. BarRaiser: AI interview intelligence platform that records interviews and coaches interviewers for better hiring. The right pick comes down to team size, budget, and the workflows you want to automate.
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.