Overview
Build low-latency conversational applications on speech-to-speech models
Introduction
Outspeed powers voice companions and agents by providing natural emotive voice with memory. It’s like having thousands of digital humans that can hold natural-sounding conversations with emotions, remember things, and carry out tasks on a computer.
Outspeed provides a Live API that companies, developers, and individuals can use to bring voice companions and agents to their applications, services, and use-cases. We offer an OpenAI Realtime API compatible interface to interact with models hosted on Outspeed’s infrastructure.
Explore
Voice DevTools
Test and compare different speech-to-speech models with our interactive Voice DevTools.
Live API
Build and deploy low-latency voice experiences with the Outspeed Live API.
What Outspeed Offers
Outspeed specializes in enabling low-latency, real-time, voice-driven interactions with the following capabilities:
- Natural Emotive Voice: AI companions and agents capable of expressing emotions (e.g., laugh, cry) through voice.
- Memory & Context Management: Agents can remember information from conversations and manage context effectively.
- Task Execution: Perform tasks via LLM function calling, integrating with external tools and services.
- Customizable Voices: Options for custom or cloned voices, allowing agents to sound unique.
- Multi-model Support: Access to leading speech models, including our core stack:
- LLM: Llama-4 for advanced understanding and reasoning.
- VAD: Specialized system for rapid voice activity detection (semantic VAD for improved accuracy).
- Transcription: “Outspeed Whisper” (fast Whisper) for quick, accurate speech-to-text as part of the conversational flow.
- TTS: Fast Orpheus-3B for natural and emotive voice output.
- Developer-friendly Tools: Comprehensive APIs (including the Live API) and testing environments like Voice DevTools.