Self-host Aural
v0.3.1AI interviews across voice, chat and video
- Stars
- 221
- Ports
- 3000 (Next.js web application), 8766 (Primary voice relay (Volcengine Doubao)), 8767 (Backup voice relay (Azure OpenAI Realtime))
What is Aural?
Aural is an open-source platform for running AI-led interviews at scale. Teams outline their goals in natural language, and the system assembles a complete interview with questions, scoring guides, and configuration. Candidates join through a shared link and answer via text, voice, or video. The AI interviewer modifies its follow-up questions on the fly, varying depth and tone. Supported formats include open-ended answers, multiple choice, live coding in a Monaco editor, and whiteboard sketching with Excalidraw. Each finished session yields a report with per-question scores, strengths, and improvement notes. Anti-cheating measures watch for tab changes, block paste actions, and detect extra monitors. Work can be organized into organizations and projects with role-based permissions. A practice area lets candidates rehearse with live AI feedback. A REST API documented with OpenAPI allows programmatic control. The tech stack centers on Next.js 16, TypeScript, Supabase for PostgreSQL and authentication, tRPC, and Tailwind CSS. LLM options cover OpenAI, Gemini, Kimi, MiniMax, and any OpenAI-compatible endpoint. Voice sessions use WebSocket relays backed by Volcengine's Doubao service or Azure's OpenAI Realtime API. Self-hosting requires Node.js 20.19 or newer, a Supabase instance, and at least one LLM key. The project is MIT-licensed and receives regular updates.
Should you self-host Aural?
Aural scores 43/100 on selfhost.directory (how scoring works) and ranks #8 of 9 in Human Resource Management (HRM). It has 221 GitHub stars.
It shipped 4 stable releases in the past year. The latest, v0.3.1, came out on 19 June 2026.
Setup is advanced: plan for several services and some ongoing maintenance. It is MIT-licensed and written mostly in Typescript.
Its closest alternative on selfhost.directory is Frappe HR (74/100, 8 975 stars). It scores higher overall, so compare the two before you pick. See Aural vs Frappe HR side by side.
Features
- Adaptive AI follow-ups
- AI-generated interviews from plain language
- AI-generated session reports
- Anti-cheating controls
- Candidate bulk import
- Live coding with Monaco Editor
- Multilingual Support
- Multi-mode interviews (chat, voice, video)
- Pluggable LLM providers
- Practice mode with AI coaching
- REST API with OpenAPI spec
- Team management with RBAC
- Whiteboard drawing with Excalidraw
- XLSX/PDF export
Aural README
FAQ
Can I customize the interview experience?
Fully. You can set the AI tone (casual to formal), follow-up depth (light to deep), time limits, question types, branding, and scoring rubrics.
Is my data secure?
Yes, data is stored with Row Level Security, encrypted in transit and at rest. Passwords are hashed.
What languages are supported?
Interview language can be configured when creating a template. Supported languages include English, Chinese, Spanish, French, German, and others.
What interview modes are supported?
Aural supports text chat, voice, and video interviews. Participants choose their preferred mode, and mode-switching during a session can be allowed.
How does the AI interviewer work?
You design or let AI generate a structured interview with questions and scoring criteria. The AI conducts the conversation, adapts follow-ups based on responses, and delivers a transcript with scores and insights when done.
Can I try Aural for free?
Yes, the Free plan includes 3 interview templates, 100 AI tokens, and 30 minutes of sessions per month at no cost, with no credit card required.
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