What is Universal-1?
Try AssemblyAI's most capable and highly trained speech recognition model trained on 12.5M hours of multilingual audio data. Universal-1 achieves best-in-class speech-to-text accuracy, reduces word error rate and hallucinations, and improves timestamps.
Problem
Users struggle with inaccurate speech recognition tech that often has high word error rates and produces erroneous or 'hallucinated' text. This reduces accuracy in applications needing reliable transcription, such as business meetings or medical records documentation.
Solution
Universal-1 is a highly advanced multilingual speech AI model available through an API that interprets speech to text with high accuracy. It's trained on 12.5M hours of multilingual audio to understand diverse accents and dialects effectively.
Customers
Developers, businesses, and organizations in need of precise and reliable transcription services, especially in multilingual environments. Developers and businesses utilize this tool to integrate into applications such as customer support systems, medical transcript tools, and legal documentation apps.
Unique Features
Best-in-class speech-to-text accuracy, training on 12.5M hours of multilingual data, and significant reductions in word error rates and hallucinations.
User Comments
User comments or reviews are not provided in the information.
Traction
Traction details such as MRR, user counts, or specific growth metrics are not provided.
Market Size
The global speech and voice recognition market size is expected to grow to $27.16 billion by 2026.
