Simli is an end-to-end API for generating real-time video conversations with AI avatars. Developers send audio and receive a lifelike talking face back in under 300 milliseconds, which makes live interactions feel natural. The newer Gaussian-based facial model produces high-resolution avatars with emotive expressions, and a face-cloning option lets teams base an avatar on a real person. New accounts receive $10 in credit on signup plus a monthly top-up of 50 minutes, while paid plans add volume discounts and pay-as-you-go billing.
The audience is mostly developers and product teams building conversational experiences: startups wiring a face onto a voice agent, language-learning apps that need a speaking tutor, and companies prototyping sales assistants or customer success bots. Coaches and training providers can create mock interview partners, and educators can bring historical characters to life for classroom projects. Because Simli handles only the speech-to-video step, engineers need basic familiarity with streaming audio and with the other parts of a voice pipeline.
In a typical build, speech-to-text takes roughly 100 to 500 ms, a language model another 250 to 450 ms, and text-to-speech 250 to 1200 ms, with Simli adding the final video stage under 300 ms. Services such as Deepgram, Whisper, Groq, Elevenlabs and PlayHT are cited as common companions in that chain. Use cases listed include sales assistants, bots, mock interviews, language training, coaching, customer success and historical characters. A live demo, documentation and a Discord community help teams get a first avatar running within minutes.
