Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. MeetingBot: Open-source meeting bot API that sends bots into Google Meet, Microsoft Teams, and Zoom to record calls, deployable to your own AWS infrastructure. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and MeetingBot when teams that want to self-host meeting capture on their own aws infrastructure for privacy 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.
Open-source meeting bot API that sends bots into Google Meet, Microsoft Teams, and Zoom to record calls, deployable to your own AWS infrastructure.
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
MeetingBot is an open-source meeting bot API that provides the infrastructure for sending bots into Google Meet, Microsoft Teams, and Zoom calls and recording them, so developers can build applications on top of meeting-recording data with a small amount of code. The project exposes a unified REST API for managing bots and accessing meeting data including video, audio, transcripts, and metadata, and ships with a visual dashboard for managing bots and viewing captured data. A distinguishing characteristic is that its entire infrastructure is defined using Terraform and deployed to AWS, which is intended to let teams self-host the platform on their own cloud account to keep meeting data private and control costs. The stack is primarily TypeScript, using a Next.js frontend, an Express backend, PostgreSQL, tRPC, and Drizzle ORM, and the project runs on scalable AWS ECS infrastructure. MeetingBot is positioned as an open-source alternative to closed-source meeting-bot vendors for developers who want recording and transcription capabilities without sending data through a third party. The project maintains a public landing page, an active community channel, and a GitHub repository under the LGPL-3.0 license. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); MeetingBot is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | MeetingBot |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Bot deployment to Google Meet, Microsoft Teams, and Zoom |
| Standout feature | Data tagging and note organization | REST API for managing bots and accessing recordings, transcripts, and metadata |
| Team usage | Theme and pattern identification across research | Visual dashboard for bot management and data viewing |
| Integrations | Insight creation and report generation | Infrastructure-as-code self-hosting via Terraform on AWS |
| Languages & capture | Consistent taxonomy across projects for large repositories | Scalable AWS ECS-based deployment |
| Best-fit workflow | Multi-team collaboration with research history and archival | TypeScript stack with Next.js, Express, PostgreSQL, tRPC, and Drizzle ORM |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
MeetingBot
Choose MeetingBot if you need developers building products that need automated meeting recording across google meet, teams, and zoom — strengths include open source and self-hostable so meeting data stays in your own aws account.
Aurelius
MeetingBot
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while MeetingBot is strong for developers building products that need automated meeting recording across google meet, teams, and zoom. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and MeetingBot 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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