Korin AI, a Nigerian AI music platform, lets users generate songs in African languages and accents. Version 2.0 is due in May.
Korin AI, a Nigerian AI music platform, is live and lets users generate songs in African languages and accents. Founder Philip Olajide-Philips says Korin AI plans a version 2.0 release in May.
Korin AI is positioning itself as an “AI studio” for artists and creators who cannot afford traditional recording sessions. AI studio here means software that can create a vocal track and instrumental from text prompts, like a virtual producer and singer.
Olajide-Philips said a key gap in global AI music tools is pronunciation. He claims that if users input Yoruba or Zulu lyrics into many existing platforms, the tools may sing the words but with an American or British-sounding accent.
Korin AI’s focus is training models on African languages, voices, and accents so outputs sound local. The company is also framing itself as a competitor to global AI music generators such as Suno AI and Udio, but with a narrower regional specialization.
The product is already accessible in Nigeria, and the company says users in Lesotho, Gambia, and Kenya can also use it. Korin AI notes that quality varies by region because the system needs more language and vocal data to improve pronunciation and style.
On the roadmap, Korin AI wants broader coverage of major African languages by partnering with local producers and individuals to collect training data. Olajide-Philips says funding will largely determine how quickly the company can expand.
AI music generation is moving quickly, but African creators often get weaker results because models are trained on Western voices and data. Tools like Korin AI could lower production costs for independent musicians and filmmakers, especially in markets where a polished single can cost hundreds of dollars.
There is also rising scrutiny globally around how AI music models are trained, including whether artists consented to their work being used. Olajide-Philips says Korin AI is prioritising ethical data collection, which could matter as African regulators and creator groups start paying closer attention to AI rights and royalties.
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