Our latest AI model for speech recognition (Conformer-2) achieves state-of-the-art accuracy on a wide variety of academic and real-world datasets compared to other ASR models, and makes up to 43% fewer errors on noisy data.
Designed for real-world applications, our API includes critical features that help you understand human speech, including speaker labels, word-level timestamps, profanity filtering, custom vocabulary, and dozens more features.
Summarize, diarize, detect sentiment, moderate content, redact PII, and more with our set of Audio Intelligence models. Or leverage LeMUR, our new framework to build LLM-powered apps on voice data.
Our API processes terabytes of audio data every day with over 99.9% uptime and success, and is compliant with SOC 2 Type 2.
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