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.

Universal-1 is a cutting-edge multilingual speech recognition model trained on 12.5 million hours of audio data, delivering best-in-class accuracy for speech-to-text conversion. It significantly reduces word error rates and hallucinations while improving timestamp precision. Designed for developers and enterprises, Universal-1 integrates seamlessly via a scalable API, enabling effortless workflow automation and deep audio analysis. Its advanced features, such as diarization, low-latency streaming, and sophisticated language capabilities, make it a top choice for building voice-driven applications. Trusted by industry leaders, AssemblyAI's models empower businesses to unlock actionable insights from voice data, accelerate product development, and enhance customer experiences with unmatched reliability and innovation.