Mac Users : https://youtu.be/92bjD0kA4GM
Open WebUI Documentation Homepage :https://docs.openwebui.com/
In this comprehensive tutorial, we explore how to integrate Kokoro Text-to-Speech with Open Web UI, providing you with a powerful, completely free alternative to expensive TTS services. This step-by-step guide demonstrates how to achieve professional-quality voice generation without any API costs or external dependencies.
🔧 Technical Implementation Overview:
Learn how to set up Kokoro FastAPI using Docker, with detailed instructions for both CPU and GPU implementations. We cover the complete configuration process, from Docker container setup to Open Web UI integration, ensuring you can achieve rapid, high-quality text-to-speech conversion locally.
⚡ Key Features & Benefits:
Zero-cost implementation using local processing
Lightning-fast inference speeds
Multiple voice options including AFSky and AFSarah
Complete Docker container integration
GPU & CPU compatibility
No external API dependencies
Alternative to paid services like Eleven Labs
📋 Tutorial Contents:
00:00 - Introduction
00:15 - Quick Demo & Performance Overview
00:38 - Setup Process Begins
00:44 - Kokoro FastAPI Docker Setup
01:32 - Docker Authentication Process
02:19 - FastAPI Implementation
02:40 - Open Web UI Integration
03:03 - Configuration Settings
03:57 - Voice Options & Testing
04:35 - Final Thoughts & Benefits
🔗 Important Links:
Docker Container URL: http://host.docker.internal:8880/v1
API Key: "not-needed"
💻 System Requirements:
Docker installation
Open Web UI
GPU (optional, for enhanced performance)
Basic understanding of command-line operations
For developers seeking to implement text-to-speech capabilities in their applications, this tutorial provides everything needed to get started with Kokoro TTS. Whether you're building a content creation tool, developing an accessibility feature, or simply looking to reduce TTS costs, this guide offers a robust, scalable solution.
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