Aural
AI conducts the interviews. You get the insights.
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Aural - Open-source AI interviews over voice, chat, and video

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Aural is now open source under the MIT license. Design adaptive interviews, share a link, and let Aural conduct the conversation over voice, chat, or video, ask contextual follow-ups, and generate structured reports. Run the managed service or self-host the full Next.js, Supabase/PostgreSQL platform with Docker and pluggable LLM providers.

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I built Aural because static question banks and chatbots do not reproduce the rhythm or pressure of a real interview. The hardest parts were real-time voice latency, transcript cleanup, and making follow-up questions feel contextual rather than scripted. This launch opens the complete platform under the MIT license, including voice, chat, video, coding and whiteboard rounds, structured scoring, reports, and candidate practice. I’d especially appreciate feedback on the self-hosting experience and the privacy boundaries teams expect around interview data. Source:

Tried it on a few mock interviews and the transcript accuracy was better than I expected, especially with multiple speakers. The analytics dashboard made it easy to compare candidates side by side without digging through recordings.