ElevenLabs Powers 1.5 Million AI-Driven Mock Interviews for Indian Job Platform apna.

apna, one of India's largest job search platforms, has delivered over 1.5 million AI-powered mock interviews to its user base of 60 million job seekers, according to a LinkedIn post from ElevenLabs. The interviews, which total 7.5 million minutes of spoken feedback, are powered by ElevenLabs' voice synthesis technology and designed to simulate real interview conditions.

The platform uses low-latency streaming to deliver immediate responses during practice sessions. ElevenLabs voices support bilingual conversations in Hindi and English, allowing users to practice in their preferred language or switch between both during a single session.

The mock interviews leverage ElevenLabs' voice models to deliver what the company describes as emotional range and natural speech patterns. Users interact with an AI interviewer that can adjust tone and pacing to mirror typical interview scenarios, from technical questions to behavioral assessments.

apna's integration marks another deployment of ElevenLabs' API for conversational AI applications. The platform targets India's job market, where interview preparation resources are often limited for candidates in tier-2 and tier-3 cities. By delivering practice interviews through a mobile app, apna extends access beyond traditional coaching centers concentrated in major metros.

The partnership follows ElevenLabs' recent Korea operations launch, signaling the company's expansion into non-English markets. India represents a significant opportunity for voice AI, with over 22 official languages and hundreds of regional dialects creating demand for multilingual interfaces.

ElevenLabs has positioned its platform for enterprise deployments that require real-time voice interactions. The company recently announced on-premise and on-device deployment options, allowing organizations to run voice AI locally for data sensitivity or latency requirements.

For apna, the mock interview feature addresses a specific pain point in the hiring pipeline. Job seekers can practice unlimited times without scheduling live sessions or paying for coaching services. The platform collects no personally identifiable information during practice sessions, focusing instead on delivering feedback on communication patterns and response structure.

The 7.5 million minutes of generated interview content also provide apna with behavioral data on common preparation gaps, which the platform can use to refine its job matching algorithms and recommend targeted skill development resources. ElevenLabs' voice technology enables this scale without requiring human interviewers, a model that would be cost-prohibitive for a free user base of 60 million.

Other companies deploying ElevenLabs for conversational applications include Revolut for customer support and Deutsche Telekom for interactive voice assistants, as previously reported. The apna case demonstrates how voice AI is moving beyond content creation into functional tools that simulate human interaction for training and skill development.