Lightweight local text-to-speech model for batch audio generation
Kokoro is a lightweight text-to-speech model for local audio generation. It turns written text into spoken audio on personal computers or private servers. Python support provides voice selection, text processing, and file export for narration. Batch processing handles many passages or files in one run. Its small design supports quick operation while maintaining useful voice quality for projects. ONNX and JavaScript options extend use across different applications and hardware. The Apache 2.0 license permits personal, research, and commercial use under its terms. Developers may use Kokoro for reading software, voice interfaces, video narration, and other products with spoken content. Setup requires basic programming, since this is not a ready-made voice website. Local processing keeps private text within the chosen system.
Transform text into lifelike speech for videos.
Activate local AI with a keyboard shortcut for seamless assistance.
Convert text to speech in multiple languages effortlessly.
Convert text to lifelike speech effortlessly.
Transform written text into natural-sounding audio effortlessly.
Offline AI chat for personalized, private conversations.