OUR SERVICE

Africa Language

Data.

Think of a farmer in Kano who asks a voice assistant in Hausa when to plant millet and gets an answer she can use. That depends on a model trained and tested on Hausa speech and text prepared by people who speak it every day.

01

What it is

Clear, USEFUL, HUMAN

What is African Language Data?

African language data is speech, text and evaluation work in Hausa, Yoruba, Igbo, Bini (Edo), Urhobo, Itsekiri, Efik, Ibibio, Fulfulde and Twi. Native speakers prepare it so AI models can understand these languages, respond in them and be judged on how real people speak them.

How We Deliver High-Quality Audio Annotation

We blend cutting-edge AI tools with expert linguistic validation to ensure exceptional accuracy:

  • Speech-to-Text Precision: Time-stamped, multilingual, and dialect-specific transcriptions.
  • Speaker Segmentation & Emotion Detection: Identify multiple speakers and analyze sentiment.
  • Scalable & Secure: Large-scale processing with strict data privacy compliance.
 

Turn sound into structured insights. Let’s train your AI to listen, understand, and respond better. 

Video Annotation

Imagine an AI system trained to assist surgeons during minimally invasive procedures, such as laparoscopic surgeries. With Video Annotation, AI can recognize organs, track surgical instruments in real time, and even detect anomalies like internal bleeding before a human eye catches them. 

picture-of-a-car-annotated

FAQs

Frequently Asked Questions

What types of audio annotation do you offer?

Services include speech-to-text transcription, phoneme labeling, speaker identification, and
sentiment analysis.

How accurate is your audio annotation?

Our hybrid human-AI workflow achieves 95%+ verified accuracy across all datasets.

Can you handle large audio datasets?

Yes, we can scale to large datasets for call centers, healthcare, or AI voice assistants.

Get a Quote

We’d love to hear about your project and help you get started. Feel free to drop us a line.