An AI assistant that speaks your language.
ÒreAyò is a voice-first AI system designed for Nigerian languages, starting with Yorùbá, Ìgbò, and Hausa.
Try speech recognition in Yorùbá, Ìgbò, or Hausa.
This is an early preview of one capability, not the full ÒreAyò assistant. It writes down what it hears — it does not answer questions yet.
Accuracy is still limited, and mistakes are expected — especially with background noise or fast speech. You can correct the transcript, and doing so helps us improve.
1. Choose a language
2. Record or upload your speech
Audio file, up to 30 seconds.
Language should not be a barrier to technology.
Voice technology has advanced rapidly, but it still leaves millions of people behind.
Most voice assistants are built for a small set of global languages, often failing to understand local speech, accents, and everyday expressions.
ÒreAyò exists to bridge that gap by starting with the languages Nigerian families already speak, not as an add-on, but as the foundation.
What is ÒreAyò?
Conversational by design
Built for Nigerian languages
Human-centred
What ÒreAyò is being built to do
The capabilities below represent ÒreAyò's intended direction. The full assistant is not publicly available yet.
Conversational voice assistance
Natural, spoken conversations in indigenous languages.
Ask and understand
Ask questions in your own language and receive clear, spoken responses.
Voice-assisted actions (early stage)
Voice notes, explanations, and guided step-by-step help.
Language inclusion and accessibility
Making AI usable for parents, elders, and communities often excluded from modern technology.
Language support roadmap
Pre-release statusBuilt responsibly from day one.
ÒreAyò is being developed with a strong focus on privacy, safety, and ethical research practices.
We prioritise transparent progress and responsible data use.
Clear communication about limitations is part of building trust especially during early research stages.
Follow the journey.
ÒreAyò is currently in active research and development, with its first speech recognition capability in internal validation.
Join the waitlist to receive updates as the project progresses, or follow our research journey as we build toward public access.