Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Gling: Gling is an AI video editing tool that transcribes recordings and automatically removes silences, filler words, and bad takes so creators can edit by editing the transcript. 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 Gling when cleaning up and transcribing podcast recordings before export to an audio file or nle 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.
Gling is an AI video editing tool that transcribes recordings and automatically removes silences, filler words, and bad takes so creators can edit by editing the transcript.
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
Gling is an AI-powered video editing platform built mainly for YouTubers, podcasters, and educators who record talking-head and dialogue-heavy content. It works by first transcribing the uploaded recording into searchable text, then letting users edit by trimming the transcript rather than dragging clips on a timeline. From that transcript, Gling automatically detects and removes long silences, filler words like "um" and "uh," and repeated bad takes, keeping the best delivery of each line. It also generates captions and subtitles, suggests YouTube-optimized titles, and creates chapter markers. The transcription engine supports many languages, including English, Spanish, French, German, Portuguese, Arabic, Chinese, Korean, and Japanese, and transcripts can be exported as SRT subtitle files. Finished edits export to MP4 or MP3, or as project files (XML/EDL) for Final Cut Pro, Adobe Premiere, and DaVinci Resolve. Gling is positioned as a workflow accelerator that turns raw footage into a polished cut faster than manual editing, with transcription serving as the foundation for its automated cuts.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Gling is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Gling |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | AI speech-to-text transcription of uploaded video and audio, exportable as SRT subtitles |
| Standout feature | Data tagging and note organization | Automatic removal of silences, filler words, and awkward pauses |
| Team usage | Theme and pattern identification across research | Bad-take detection that keeps the best of repeated lines |
| Integrations | Insight creation and report generation | Text-based editing: cut footage by editing the transcript |
| Languages & capture | Consistent taxonomy across projects for large repositories | Auto-generated captions, YouTube titles, and chapter markers |
| Best-fit workflow | Multi-team collaboration with research history and archival | Export to MP4/MP3 or project files for Final Cut Pro, Premiere, and DaVinci Resolve |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Gling
Choose Gling if you need editing youtube talking-head videos by removing silences, filler words, and flubbed takes — strengths include transcript-driven editing makes cutting talking-head footage much faster than a manual timeline.
Aurelius
Gling
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Gling is strong for editing youtube talking-head videos by removing silences, filler words, and flubbed takes. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Gling 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.
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