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Jukebox Review 2025: AI Music Generator from OpenAI

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OpenAI, the brains behind ChatGPT, has extended its reach into music too, with an experimental project called Jukebox AI. This AI-powered music generator isn't just a beat maker or melody assistant you might expect. Jukebox can generate full-length songs, complete with vocals, lyrics, and instrumentals, in the style of popular genres and even specific artists.

Though Jukebox is still an experimental tool, its ability to mimic musical styles and create original tracks has brought excitement. If you've ever wondered what AI-generated music could really sound like, this Jukebox review breaks down what you need to know about this tool in 2025.

openai jukebox review

Part 1. What is Jukebox AI?

Jukebox AI is OpenAI's neural network model that pushes the boundaries of what AI can do with music. It works by analyzing patterns in raw sound data and lyrics to generate full audio waveforms directly. OpenAI initiated this project to expand the capabilities of generative models further. Before Jukebox, their earlier experiment MuseNet focused on creating music using large MIDI datasets. However, MIDI only captures basic note and timing information.

making music with ai

With Jukebox, the challenge was significantly greater, as it requires precise control over everything from rhythm and tone to long-term song structure. Raw audio doesn't leave room for errors in timing or transitions, so Jukebox had to learn not only short-term patterns but also how to maintain coherence across an entire track.

Core Technology of Jukebox AI

Released in 2020, OpenAI trained Jukebox on a huge music dataset (over 1.2 million songs) with lyrics and metadata to help it understand patterns across genres and decades.

It first compresses raw audio using a technique called VQ-VAE (Vector Quantized Variational Autoencoder), which breaks the music down into smaller, more manageable pieces. Then, transformer models (similar to the ones behind ChatGPT) generate these codes in sequence to build full songs.

core technology of jukebox ai

Because of this setup, Jukebox doesn't just spit out random notes. It understands rhythm, harmony, and vocal tone well enough to produce music that actually flows, though it's not pitch-perfect.

Is OpenAI's Jukebox AI Free?

Jukebox is a research project by OpenAI and is not currently offered as a commercial product. However, OpenAI has made the code, model weights, and sample outputs freely available for research and experimentation.

Part 2. What You Can Do with Jukebox AI

With AI Jukebox's unique ability to generate raw audio, there's so much more you can do beyond just making simple music.

generate music with jukebox
Make Full Songs from Scratch
Jukebox is built to generate full songs from beginning to end. It can create vocals, background music, and instrumentals as one complete piece, not just short loops or instrumental beds.
Copy the Style of Famous Artists
One of Jukebox's most impressive abilities is its style transfer. You can guide the model to generate music that sounds like a specific artist, such as Queen, Frank Sinatra, or modern pop icons like Beyoncé.
Turn Your Lyrics into Songs
You can feed in a set of lyrics, and Jukebox will attempt to generate a song that sings those words. While the output isn't perfect (the timing and pronunciation can be a bit off), it's still a breakthrough to prototype songs or hear how your lyrics might sound when performed.
Mix and Match Genres
Because of how it's trained, Jukebox by OpenAI can blend genres, like mixing jazz with hip-hop rhythms or giving rock vocals a synth-pop backing. You can experiment with sounds that don't normally go together.
Continue or "Upscale" Existing Tracks
Jukebox supports audio priming, which means it can take a short music clip or vocal sample and continue it, transforming it into something new while staying stylistically consistent. This makes it useful for remixing, extending unfinished demos, or even reviving old recordings.

Part 3. Limitations and Future Directions of Jukebox AI

As impressive as Jukebox AI is, it's still very much a research project, not a plug-and-play music tool you can start using today. It has some pretty big limitations that make it less practical for everyday use right now.

Limitations of Jukebox AI

  • No clear song structure: Jukebox can generate great-sounding music, but the structure is pretty messy. You won't get clean verses, catchy choruses, or proper bridges. It mostly flows in one direction without repetition or hooks.
  • Audio artifacts and noise: Because the audio is compressed and then upscaled, the final output often includes unwanted sounds, like distortion or fuzzy tones, that make it feel a bit rough.
  • Very slow generation time: Creating just one minute of music can take around 9 hours using high-end hardware. That's a very long wait, especially if you need longer tracks.
  • Needs powerful hardware: Running Jukebox on your own requires multiple high-end GPUs and a deep technical setup. It's not something most casual users can run on.
  • Limited music diversity: The training data is mostly in English and leans heavily toward Western music styles. That means less accuracy for other languages or culturally diverse sounds.
  • No user interface: Everything runs through code and the command line. You might get confused in the process of creating music with Jukebox AI.
challenges in using jukebox

Future Directions of Jukebox AI

Despite these limitations, OpenAI sees a lot of potential in the future of AI music generation. Jukebox may be just the beginning, and future versions could open up more possibilities.

  • Much faster generation: Reducing the long wait time is a big focus. With optimized models and better hardware, generating full songs could become quick enough for real-time use.
  • Improved audio quality: Expect cleaner, more refined audio with fewer compression artifacts, bringing it closer to professional studio sound.
  • More diversity in training data: Expanding beyond mostly English and Western music could allow Jukebox to handle more languages, instruments, and global genres.
  • Easier access for everyone: Instead of requiring code and GPUs, Jukebox-inspired tools could eventually come in the form of intuitive apps or browser platforms.

Part 4. How to Use Jukebox AI to Generate Music

As we have previously mentioned, there is no visual interface in Jukebox. Everything runs through code. So, the process of using Jukebox AI to generate music can feel pretty technical.

The most accessible way to use it is through the Google Colab Jupyter notebook shared by OpenAI, since it brings you to a cloud-based environment where all the heavy processing happens remotely. We'll walk you through each step to make the process easier to follow.

How to use Jukebox AI

Step 1 Head over to Google Colab, sign in with your Google account, and create a new notebook.
create new notebook on google colab
Step 2 In the first cell of your notebook, run the following command to download the official Jukebox files from GitHub:
!git clone https://github.com/openai/jukebox.git
install jukebox file from github
Step 3 Once the repository is downloaded, move into the project folder using:
%cd /content/jukebox/
Step 4 Jukebox relies on several Python libraries. Install them with:
!pip install -r requirements.txt This will add libraries like librosa, tqdm, soundfile, and more.
install required libraries for jukebox
Step 5 Now it's time to download a pretrained AI model. Make sure your Colab environment has enough memory. Run:
python jukebox/download.py --model=5b_lyrics
💡 Tip: If you run into memory issues, use the smaller 1b_lyrics model instead. Once done, you’re ready to generate AI-powered music with Jukebox!
download the pretrained model

How to Save Your Generated Music

Step 1 Mount your Google Drive to store audio prompts and save generated files. Use:
from google.colab import drive
drive.mount('/content/drive')
Then authorize the notebook to access your Google Drive.
grant access for google drive
Step 2 Choose your generation settings:
  • Set the sample length for your track.
  • Pick a genre and artist style for Jukebox to imitate.
  • Select a model: 5b_lyrics for detailed output, or 1b_lyrics for faster results.
  • Adjust the sampling temperature: lower values follow your prompt closely, higher values create more unexpected results.
choose settings for music generation
Step 3 Once all settings are configured, hit the play button on each code cell in your notebook to start generating music. Longer tracks will take more time to process.
After generation is complete, you can preview and download your music directly from your Google Drive.

Part 5. Best AI Music Generator Alternative to Try Today

Jukebox may be a groundbreaking step forward in AI-generated music, but it's not for everyone. If working with code, long generation times, and technical setup doesn't feel right for you, you can start with a more approachable Jukebox alternative instead, like the AI Music Generator in Wondershare Filmora.

wondershare filmora ai music

How Filmora Simplifies Your Way to Create Music

Generating music with AI doesn't always have to be complicated. With Filmora, you can skip the coding and confusing settings and jump straight into creating the music you want.

But unlike Jukebox, Filmora Music Generator generates music based on the mood, genre, or theme you selected. The process only takes a few clicks and a couple of minutes. You also get to choose the duration and number of tracks to explore more options, which is why we put it as one of the best OpenAI Jukebox alternatives.

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This feature is built right into the video editor, so you can generate music, edit it, and even match it with a video in one place. However, note that Filmora's AI Music Generator currently creates instrumental tracks only, without vocals or lyrics.

How to Generate Music with Filmora

Step 1 Launch the Filmora video editor on your desktop or mobile device. Head to the Audio tab and look for the AI Music feature.
access filmora ai music
Step 2 Select the mood, genre, or theme you want. Then, pick how long you want the music to be and how many versions you want the AI to generate. Click the Generate button and wait a few moments while Filmora creates your custom audio tracks.
select the music mood theme genre
Step 3 Listen to the generated tracks and choose the one that best fits your project. Download and add the selected track to your video timeline. You can trim, loop, adjust volume, or sync it to your video.

Conclusion

OpenAI's Jukebox gives us an exciting glimpse into the future of AI-generated music. It shows just how far AI can go in mimicking style, lyrics, and audio. Just be prepared for the technical process and long wait times.

For anyone looking for a quicker, more user-friendly way to generate music, Filmora's built-in AI Music Generator is a great alternative to Jukebox AI. It's fast, intuitive, and perfect for video creators who want instant, royalty-free instrumental tracks.

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FAQ

  • Can Jukebox AI generate music without lyrics or vocals?
    Yes, Jukebox AI can generate instrumental-only tracks. By using a non-lyric model or choosing not to input lyrics, you can guide it to focus more on the musical arrangement without vocals.
  • Can I fine-tune Jukebox AI on my own music or voice?
    Not easily. Jukebox isn't designed for user-level fine-tuning. Custom training would require massive computing power, a deep understanding of machine learning, and access to your own large-scale dataset.
  • What file format does Jukebox AI generate?
    Jukebox usually outputs raw audio in WAV format, which is a high-quality, uncompressed audio file. But many samples shared online are MP3 for size reasons.
  • Is it legal to generate music in the style of real artists using Jukebox AI?
    While using Jukebox for personal or research purposes is fine, releasing or monetizing music that closely mimics real artists could raise copyright or likeness concerns. It's best to avoid commercial use if the output heavily resembles an artist's work.

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