Best AI Audio Generators for OpenAI
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Compare the Top AI Audio Generators that integrate with OpenAI as of July 2025
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This a list of AI Audio Generators that integrate with OpenAI. Use the filters on the left to add additional filters for products that have integrations with OpenAI. View the products that work with OpenAI in the table below.
What are AI Audio Generators for OpenAI?
AI audio generators are tools that create speech, music, and sound effects using artificial intelligence. They use deep learning models, such as neural text-to-speech (TTS) and generative networks, to produce high-quality and realistic audio. These generators create audio and sound effects that can be used in movies, videos, video games, voiceovers, audiobooks, virtual assistants, and music production. Some can replicate human voices with natural tone, emotion, and accents, while others generate immersive sound effects for films and interactive media. As AI technology evolves, these tools continue to improve in realism, customization, and creative potential across various industries. Compare and read user reviews of the best AI Audio Generators for OpenAI currently available using the table below. This list is updated regularly.
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MuseNet
OpenAI
We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style by learning to predict the next token in hundreds of thousands of MIDI files. MuseNet uses the same general-purpose unsupervised technology as GPT-2, a large-scale transformer model trained to predict the next token in a sequence, whether audio or text. Since MuseNet knows many different styles, we can blend generations in novel ways. We’re excited to see how musicians and non-musicians alike will use MuseNet to create new compositions! Choose a composer or style, an optional start of a famous piece, and start generating. This lets you explore the variety of musical styles the model can create. -
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OpenAI Jukebox
OpenAI
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artistic styles. We’re releasing the model weights and code, along with a tool to explore the generated samples. Provided with genre, artist, and lyrics as input, Jukebox outputs a new music sample produced from scratch. Jukebox produces a wide range of music and singing styles and generalizes to lyrics not seen during training. All the lyrics below have been co-written by a language model and OpenAI researchers. When conditioned on lyrics seen during training, Jukebox produces songs very different from the original songs it was trained on. We provide 12 seconds of audio to condition on and Jukebox completes the rest in a specified style. We chose to work on music because we want to continue to push the boundaries of generative models. Jukebox’s autoencoder model compresses audio to a discrete space, using a quantization-based approach called VQ-VAE.
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