Voice-centric AI interaction platform optimized for speech-based applications and accessibility use cases. Combines speech-to-text, text-to-speech, and conversation management to create seamless voice interactions. This platter addresses the growing need for voice-enabled AI applications, from accessibility tools to IoT integrations and hands-free computing environments.
Difficulty • intermediate
Composition
Required services8
Optional services0
Visibility
Core Services
8
Ollama
Local runtime that downloads, quantises and runs open-weight language models, exposing them over its own HTTP API and an OpenAI-compatible endpoint. Also serves embedding models.
Self-hosted chat interface for local and remote language models, adding document retrieval, model switching, per-user workspaces, tool calling and an extensible pipeline layer.
Speech recognition service wrapping OpenAI's Whisper models, transcribing and translating audio across many languages with timestamps, served over an HTTP endpoint.
