Aural is an AI-powered interview platform designed to conduct structured and adaptive interviews at scale through chat, voice, or video. It enables organizations to automate the interview process, focusing on extracting actionable insights from conversations rather than manual administration. The platform is suitable for a range of use cases, including coding interviews, case interviews, user research, product management mock interviews, employee engagement feedback, customer discovery, academic defenses, and expert interviews.
Aural's core features include an adaptive AI interviewer that adjusts follow-up questions, tone, and depth in real time based on participant responses. Users can select the interviewer's tone (casual, professional, or formal) and control the level of probing. The platform supports various question types, such as open-ended, multiple choice, rating scales, coding challenges, and whiteboard questions. Interviews can be conducted in English or Chinese, with the AI providing native understanding in both languages. Each interview session is automatically transcribed and summarized, with analytics available to track completion rates and review insights across multiple interviews. Structured data can be exported as XLSX or PDF files.
Aural is accessible via web and mobile applications, with apps available for iOS and Android. It offers a REST API and OpenAPI specification for developers, enabling programmatic creation, management, and tracking of interviews, as well as integration with other workflows. The platform supports team and project organization, allowing management of interviews across multiple organizations and collaborative team access. Session management features include real-time tracking, the ability for participants to resume unfinished interviews, and automatic transcript generation.
Security is emphasized with enterprise-grade security and end-to-end encryption. Aural is available as a free and open-source solution under the MIT license, allowing deployment in a manner that suits organizational needs. A free tier is available with no credit card required, and the platform can be set up in minutes. These capabilities position Aural as a flexible and comprehensive tool for conducting AI-driven interviews and gathering structured insights.
In the Chatbots & assistants space, Aural takes a focused approach. It focuses on automating and scaling the process of conducting and analyzing interviews using AI. It is built as a B2B product for recruiters and HR teams. A free plan is available. Aural is available on the web, the command line, Android, iOS, and macOS.
Behind Aural is Qingyuan Yang, based in the United States, and it first shipped in 2026. Development happens publicly on GitHub with 90 stars and 7 commits in the last 90 days. Among its 9 catalogued features are voice interviews, video interviews, and AI chat interviews. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do