media-tts-ai

You can generate speech from text locally by running the speak subcommand with a supported open-source TTS model like Kokoro or Piper to output an audio file. This allows offline speech synthesis without relying on external APIs.

Yes, you can clone voices from reference clips using OpenVoice v2 or Chatterbox. These open-source models provide commercial-safe voice cloning capabilities for local deployment and offline environments.

Batch processing for long texts and audiobooks is supported natively. You can synthesize chaptered narration by processing text in batches using models like Bark or Piper to generate continuous audio files.

Yes, Python is required to execute the scripts that interact with the underlying ONNX runtime and TTS models. The environment relies on Python dependencies like kokoro-onnx and soundfile to process and save audio.

Yes, this approach is designed specifically for offline environments and local deployments. Once the open-source TTS and voice cloning models are configured, you can synthesize audio from text entirely offline.

Open-source TTS models require local computational resources and proper Python environment configuration to function. You must manage dependencies like onnxruntime and soundfile manually to avoid runtime errors during audio generation.