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OpenedAI Speech project preview
Ai MlAlternative to OpenAI TTS APIAlternative to ElevenLabsAlternative to Google Text-to-Speech

OpenedAI Speech

OpenAI-compatible text-to-speech server that translates text into spoken audio using open models.

View on GitHub
LicenseApache-2.0
GitHub stars1.8k
Last commit1 weeks ago
Tags6 topics
Ai MlTts ApiPythonOpenai Tts ReplacementPiper TtsDocker
Overview

Why consider OpenedAI Speech?

OpenedAI Speech is a drop-in open-source replacement for the OpenAI Text-to-Speech API (`/v1/audio/speech`). It translates text into natural audio using Coqui XTTS, Piper, and MMS models with zero vendor lock-in.

Guided learning

Learn OpenedAI Speech by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of OpenedAI Speech

OpenedAI Speech allows existing apps configured for OpenAI TTS to immediately switch to free local voice models without code rewrites.

Running with Docker

bash
1docker run -d \
2 --name openedai-speech \
3 -p 8000:8000 \
4 ghcr.io/matatonic/openedai-speech:latest

OpenedAI Speech is licensed under the Apache License Version 2.0.

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OpenedAI Speech FAQs

OpenedAI Speech is listed as a Ai Ml tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

OpenedAI Speech is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

OpenedAI Speech is listed as an alternative to OpenAI TTS API. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.