Aural
AI conducts the interviews. You get the insights.
FreemiumWeb
- Upvotes
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- Comments
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About
Aural is an AI interview platform that helps people design, conduct, and analyze structured interviews through chat, voice, or video. Users can create an interview by describing what they want to learn and letting the AI generate a structure, or by building one manually in an editor. Interviews are shared by link or invitations, and participants can complete sessions in their preferred mode, with the AI adapting follow-up questions based on responses. After each session, Aural provides transcripts, AI-generated summaries, and reporting across multiple interviews, including completion tracking and structured exports. It supports configurable interviewer tone and follow-up depth, multiple question types (such as open-ended, multiple choice, ratings, coding challenges, and whiteboard questions), multi-language interviews, and organization features like teams, projects, and session management. Data can be exported to XLSX or PDF for use in existing workflows.
Problem & solution
Problem
Interviews are slow to run and hard to analyze at scale.
Solution
AI runs interviews via chat/voice/video and exports summaries and analytics.
Who it's for
Teams and individuals running interviews at scale
Main features
- Chat/voice/video interviews
- Adaptive AI follow-ups
- Transcripts & summaries
- Analytics & reporting
- Export XLSX/PDF
Use cases
- First-round screening interviews
- User research interviews at scale
Comments
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- Qingyuan YangMar 3, 2026
I'm QY, the maker of Aural, and I'm thrilled to share what we've been building! Aural is an AI interview platform that conducts real, adaptive interviews. You describe what you want to learn, and AI take care of the rest. Try it out, drop a comment, or just say hi — I read every single one. 🙏