Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. OpenTranscribe: Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and OpenTranscribe when collaborative review of transcripts with time-stamped annotations matters most. Run both through a week of actual calls to see which suits your workflow.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration.
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
OpenTranscribe is a self-hosted, containerized web application for transcribing and analyzing audio and video files using current AI models. It is built with a FastAPI backend, a Svelte/TypeScript progressive web app frontend, and a Docker-based stack that includes PostgreSQL, Redis/Celery task queues, MinIO object storage, and OpenSearch for full-text indexing. Transcription is handled by WhisperX with the large-v3-turbo model and Faster-Whisper, supporting more than 100 languages, while automatic speaker diarization uses PyAnnote v4 with overlap detection. The project is licensed under AGPL-3.0 and is actively maintained, with v0.4.1 released in April 2026. Beyond transcription, OpenTranscribe provides AI-powered summarization (including BLUF-format and custom JSON schemas), topic extraction, and content analysis through multiple LLM providers such as OpenAI, Claude, vLLM, Ollama, and OpenRouter. Collaboration features include time-stamped comments and annotations, and the platform can automatically import media from local folders, S3, and SMB shares. It also supports a set of cloud ASR providers as alternatives to local transcription, giving teams flexibility between fully local processing and managed services while keeping the application running on their own infrastructure. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); OpenTranscribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | OpenTranscribe |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | WhisperX transcription with large-v3-turbo and 100+ language support |
| Standout feature | Data tagging and note organization | Automatic speaker diarization via PyAnnote v4 with overlap detection |
| Team usage | Theme and pattern identification across research | Full-text search and filtering powered by OpenSearch |
| Integrations | Insight creation and report generation | AI summarization, topic extraction, and content analysis via multiple LLM providers |
| Languages & capture | Consistent taxonomy across projects for large repositories | Time-stamped comments for collaboration and annotation |
| Best-fit workflow | Multi-team collaboration with research history and archival | Auto-import from local folders, S3, and SMB shares |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
OpenTranscribe
Choose OpenTranscribe if you need teams self-hosting a searchable archive of transcribed meeting and media recordings — strengths include fully self-hosted web app with a complete transcription-and-analysis stack.
Aurelius
OpenTranscribe
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while OpenTranscribe is strong for teams self-hosting a searchable archive of transcribed meeting and media recordings. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and OpenTranscribe is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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