Transform text into captivating videos with lifelike AI voiceovers.
Mubert
In this video we're taking a look at Mubert's text2audio API that lets us generate audio tracks using text. Those track are all completely new and you can use them in your streams and videos without getting hit with a copyright strike or DMCA takedown.
UPDATE: After I recorded the video, Mubert updated their GitHub readme. Sounds are not created directly based on the text prompt, they're first translated into tags. Based on those tags, Mubert than uses picks / generates sounds related to them.
Mubert Twitter: https://twitter.com/mubertapp
Mubert GitHub repo: https://github.com/MubertAI/Mubert-Text-to-Music
Text2Audio colab: https://colab.research.google.com/github/ferluht/Mubert-Text-to-Music/blob/main/Mubert_Text_to_Music.ipynb
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What to know
Key features
- Text-to-music and image-to-music generation
- Commercial royalty-free music licensing
- Developer API for real-time music integration
- Customizable tempo, mood, genre, and instruments
- Generation of tracks up to 25 minutes in length
- Lossless audio quality for paid tiers
Best for
- Background music for social media videos (YouTube, TikTok, Instagram)
- Dynamic soundtracks for indie games and mobile applications
- Copyright-free intros and outros for podcasts
- Music for corporate presentations and digital advertising
- Adaptive audio for health and fitness apps
Pros
- Instant music generation from simple text prompts
- Comprehensive royalty-free licenses to avoid DMCA strikes
- Powerful API for seamless product integration
Cons
- No capability for vocal or lyric generation
- Limited granular control over musical complexity
- Some genres may lack the depth of human-composed music
Mubert FAQ
What is Mubert used for?
Is Mubert free?
How do I compare Mubert with alternatives?
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