aural-ai.com valid
Aural
Open-source AI interview platform for voice, chat, and video interviews.
For agents: Open-source AI interview platform for voice, chat and video interviews, with a documented REST API, OpenAPI spec and full LLM-oriented API reference.
ai interviewsvideo interviewsopen sourcerest apihiring assessment
- Authority
- 46 reach 0 · trust 6 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://aural-ai.com/llms.txt
- llms-full.txt
- https://aural-ai.com/llms-full.txt
- Sections
- 8
- Links
- 11
- Size
- 4990 bytes
- Registered
- 2026-02-23
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning · APIs and SDKs
- For agents
- Interface: a documented API or declared MCP endpoint an agent can call
- Inferred actions
- Read documentation Call an API About these labels
- Audience
- mixed · agents can: read docs, call api · en
- First seen
- 2026-10-27T10:44:25.985Z
- Last checked
- 2026-10-27T10:44:27.925Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T10:44:26.016Z. Cached copy · Source on aural-ai.com
# Aural
> Open-source AI interview platform for voice, chat, and video interviews.
Aural is an AI-powered interview platform that conducts structured, adaptive interviews at scale. Design an interview in plain language, share a link, and Aural's AI conducts the conversation — asking questions, probing with follow-ups, and generating detailed analysis when the session ends.
## Key Facts
- [Aural Website](https://aural-ai.com): Official website for the Aural AI interview platform
- [GitHub Repository](https://github.com/1146345502/aural-oss): Open-source codebase (MIT license)
- License: MIT (fully open source)
- Tech Stack: Next.js 14, TypeScript, Supabase (PostgreSQL), tRPC
- Company: AuraTerra Nexus Global Limited (Hong Kong)
## Core Capabilities
- **Voice, Chat & Video Interviews**: AI-driven interviews across all communication channels with real-time adaptation
- **AI Interview Generation**: Describe goals in plain language and get a complete interview with questions and scoring criteria
- **Live Coding & Whiteboard**: Monaco editor and Excalidraw for technical assessments
- **Automated Reports**: Per-question scores, highlights, and improvement areas generated by AI
- **Anti-Cheating**: Tab monitoring, paste blocking, multi-screen detection, integrity logs
- **Team Management**: Organizations, projects, and role-based access control
- **Multilingual**: English and Chinese with pluggable locale system
- **Pluggable LLMs**: OpenAI, Moonshot Kimi, MiniMax, or any OpenAI-compatible API
## Deployment Options
- [Cloud Hosted](https://aural-ai.com): Managed SaaS — sign up and start immediately
- [Self-Hosted](https://github.com/1146345502/aural-oss#self-hosted): Clone from GitHub, configure Supabase + LLM keys, and run on your own infrastructure
## Use Cases
- Technical hiring (coding and system design interviews)
- User research (in-depth research interviews with AI follow-ups)
- Behavioral interviews (voice-based conversations at scale)
- Interview practice (candidates practice with AI feedback)
- Customer discovery and expert interviews
- Academic research interviews
## Pricing
- Free: $0/month — 3 templates, 100 AI tokens, 1 hr session time
- Basic: $24/month — 10 templates, 500 AI tokens, 10 hrs session time
- Pro: $49/month — Unlimited templates, 2,000 AI tokens, 30 hrs session time
- Business: $99/month — Unlimited templates, 10,000 AI tokens, 100 hrs session time
## Documentation
- [Documentation](https://aural-ai.com/docs): Guides and tutorials for interview creators and interviewees
- [Blog](https://aural-ai.com/blog): AI interview tips, product updates, and industry trends
- [Self-Host Guide](https://github.com/1146345502/aural-oss#self-hosted): Deploy Aural on your own infrastructure
- [Contributing Guide](https://github.com/1146345502/aural-oss/blob/main/CONTRIBUTING.md): How to contribute to the open-source project
## Developer API
Aural provides a REST API for programmatic access to interviews, questions, sessions, and
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