Best Text to Speech Software for Kubernetes
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Compare the Top Text to Speech Software that integrates with Kubernetes as of September 2025
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This a list of Text to Speech software that integrates with Kubernetes. Use the filters on the left to add additional filters for products that have integrations with Kubernetes. View the products that work with Kubernetes in the table below.
What is Text to Speech Software for Kubernetes?
Text to speech software is a type of software that enables users to input text which is then converted into a synthetic voiced output. This software can be used in different applications such as in communication, in education, and for accessibility purposes. Text to speech software also provides the option to customize the voice and speed of spoken words according to preferences, making it more effective for individual users. It has become increasingly popular due to its ease of use and effectiveness in both professional and personal settings. Compare and read user reviews of the best Text to Speech software for Kubernetes currently available using the table below. This list is updated regularly.
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FakeYou
FakeYou
Use FakeYou deep fake technology to say things with your favorite characters. We're building FakeYou as just one component of a broad set of production and creative tooling. Your brain was already capable of imagining things spoken in other people's voices. This is a demonstration of how far computers have caught up. One day computers will be able to bring all of the rich and vivid imagery of your hopes and dreams to life. There's never been a better time throughout all of history to be creative than now. The technology to clone voices is already out in the open, and the voices here are built by a community of contributors. We're not the only website doing this, and plenty of people are producing these same results on their own at home, independent of our work. You can see thousands of examples on YouTube and social media. If you're a voice actor or musician, we're looking to hire talented performers to help us build commercial-friendly AI voices.Starting Price: $7 per month -
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Deepgram
Deepgram
Deploy accurate speech recognition at scale while continuously improving model performance by labeling data and training from a single console. We deliver state-of-the-art speech recognition and understanding at scale. We do it by providing cutting-edge model training and data-labeling alongside flexible deployment options. Our platform recognizes multiple languages, accents, and words, dynamically tuning to the needs of your business with every training session. The fastest, most accurate, most reliable, most scalable speech transcription, with understanding — rebuilt just for enterprise. We’ve reinvented ASR with 100% deep learning that allows companies to continuously improve accuracy. Stop waiting for the big tech players to improve their software and forcing your developers to manually boost accuracy with keywords in every API call. Start training your speech model and reaping the benefits in weeks, not months or years.Starting Price: $0 -
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NVIDIA Riva Studio
NVIDIA
Use the browser with in-app prompts and a recording tool. A predefined set of phonetically balanced sentences is available to create a 30-minute dataset for training a TTS model to learn your unique voice. Make the model sound like you by choosing the range that best suits the pitch of your voice. The recommended typical voice pitch range setting for a human voice is already provided, along with a preprogrammed best recipe to customize the TTS model for your voice. Generate an API to integrate a customized TTS model into your application. Download a deployable package with a helm chart to run on any cloud or on-premises Kubernetes cluster. Then, automatically host your voice microservice with NVIDIA, or set it up with just one-line of code. Set up, customize, and deploy the Riva TTS model with intuitive no-code, end-to-end GUI workflows and no infrastructure configuration.
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