Aural Oss

Aural is an open source AI interview platform that conducts structured, adaptive interviews by text chat, voice or video. A user describes what they want to learn and the AI generates a full interview structure, or builds one in an editor; participants then join through a shared link or invitation, and the AI interviewer asks follow up questions based on their answers and returns transcripts, scores and summaries. It serves recruiters, researchers, product teams and educators. Sample scenarios on the site include system design coding interviews, consulting case interviews, user research, product manager interview practice with a scored debrief, employee engagement pulse checks, customer discovery and academic thesis defences. Interview creators can set the AI's tone, follow up depth, time limits, question types, branding and scoring rubrics, choose the interview language from options including English, Chinese, Spanish, French and German, and export structured data. Data is encrypted in transit and at rest, a mobile app is available, and AI agents can be pointed at the platform through a published skill file. Personal plans are published per month: Free at $0 with 3 templates, 100 AI tokens and 30 minutes of session time; Starter at $9 with 10 templates, 200 AI tokens and 3 hours; and Basic at $24 with 10 templates, 500 AI tokens and 10 hours, each with one seat. Usage beyond the limits is billed at $0.08 per session minute, $0.02 per AI token and $10 per additional seat per month. Business plan prices sit on a separate tab that the page did not display. The code is released under the MIT license, and the site offers a guide for self hosting from GitHub.