Overview
Build low-latency conversational applications on Outspeed’s voice stack
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 streaming API endpoints and SDKs that companies, developers, and individuals can use to embed voice companions and agents in their applications.
We offer an OpenAI Realtime API compatible interface to interact with Outspeed’s voice stack.
Explore
Playground
Playground to test out Outspeed’s voice stack with different prompts and voices.
Live API
Build and deploy low-latency voice experiences with the Outspeed Live API.
Build a Mobile App
Get started building iOS apps with realtime voice using the Outspeed Swift SDK.
Build a Web App
Get started building react apps with realtime voice using the Outspeed React SDK.
What Outspeed Offers
Outspeed specializes in enabling low-latency, realtime, 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.