sherpa-onnx-tts

To run text-to-speech offline in a local application, you need to load the sherpa-onnx runtime and a corresponding ONNX model directory, then supply the text directly to the synthesis pipeline without network access.

Yes, offline TTS with sherpa-onnx works for embedded systems. It generates speech locally without cloud services, making it suitable for embedded devices and applications where privacy and low latency are essential.

To set up local voice synthesis using ONNX models, you must configure a sherpa-onnx runtime environment and point it to a valid TTS model directory containing the required ONNX models before synthesizing text.

Yes, you can use local TTS to build a privacy-focused desktop voice assistant. The local-first workflow synthesizes speech directly on the desktop, reading long-form content aloud without sending data to external services.

Multilingual text-to-speech does not require cloud services for local apps. By loading the appropriate multilingual ONNX models into the sherpa-onnx runtime, you can achieve offline voice synthesis entirely on-device.