Inworld TTS: The Future of AI Text-to-Speech

Inworld TTS is an AI-powered text-to-speech solution designed for builders of consumer applications. It enables scaled applications that grow into user needs and organically evolve through experience. It pushes the state-of-the-art quality while offering radically better pricing, including lower latency, more control, local serving options and open training code. The demo showcases popular English voices, but Inworld TTS supports 11 languages.

What is Inworld TTS?

Inworld TTS is a text-to-speech (TTS) model developed by Inworld AI. It is designed to provide high-quality, scalable, and customizable voice solutions for various consumer applications. It allows developers to integrate realistic and expressive voices into their projects, enhancing user experience and engagement.

Key Features and Benefits:

High-Quality Voice Synthesis: Inworld TTS focuses on delivering state-of-the-art voice quality, ensuring realistic and natural-sounding speech.
Lower Latency: The model is optimized for low-latency performance, making it suitable for real-time applications where quick response times are crucial.
More Control: Users have greater control over various aspects of the generated speech, such as pitch, speed, and intonation, allowing for fine-tuning and customization.
Flexible Deployment Options: Inworld TTS offers a range of deployment options, including local serving, which can be beneficial for applications requiring data privacy or offline functionality.
Open Training Code: The availability of open training code allows developers to further customize and fine-tune the model to meet specific requirements.
Multi-Language Support: Inworld TTS supports voices in 11 languages, enabling developers to reach a global audience.
Voice Cloning: Users can clone their own voices with just seconds of audio, creating personalized voice experiences.
Radically Better Pricing: Inworld TTS offers competitive pricing, making it accessible to a wider range of developers and applications.

How does Inworld TTS work?

Inworld TTS uses advanced AI and machine learning techniques to convert text into natural-sounding speech. The model is trained on vast amounts of audio data to ensure high-quality output. Here's a simplified breakdown:

Text Input: The user provides the text they want to convert to speech.
AI Processing: Inworld TTS processes the text using its trained AI model, analyzing grammar, context, and other linguistic features.
Voice Generation: Based on the analysis, the model generates speech audio with realistic intonation, pronunciation, and emotional tone.
Output: The synthesized speech is delivered to the user in a suitable audio format.

How to Use Inworld TTS?

To get started with Inworld TTS, you can:

Explore the available voices in 11 languages.
Clone your own voice with just seconds of audio.
Sign up for a private preview of Inworld Runtime.

Use Cases:

AI Chatbots and Virtual Assistants: Enhance the conversational abilities of AI chatbots and virtual assistants with realistic and expressive voices.
Gaming: Create immersive gaming experiences with lifelike character voices.
Content Creation: Generate voiceovers for videos, podcasts, and other multimedia content.
Accessibility: Provide text-to-speech functionality for users with visual impairments.
Education: Develop interactive learning tools with engaging and personalized voice experiences.
Customer Service: Automate customer service interactions with natural-sounding voice agents.

Why is Inworld TTS important?

Inworld TTS is important because it provides a high-quality, scalable, and customizable voice solution for a wide range of consumer applications. It enables developers to create more engaging and immersive experiences for their users, improving user satisfaction and driving growth. By offering lower latency, more control, and flexible deployment options, Inworld TTS empowers developers to build the future of voice-enabled applications.

Inworld TTS helps reducing AI costs. For instance, Wishroll / Status cut AI costs by >95%, scaling to 500K+ DAUs, and driving time spent per user to over 1.5 hours per day

Inworld also helped an AI game with 20 million players reach profitability.