Last week we released Universal-2, our latest Speech-to-Text model. Universal-2 builds upon our previous model Universal-1 to make significant improvements in "last mile" challenges critical to real-world use cases - proper nouns, formatting, and alphanumerics.

Comparison of error rates for Universal-2 vs Universal-1 across overall performance (Standard ASR) and four last-mile areas, each measured by the appropriate metric

Universal-2 is now the default model for English files sent to our `v2/transcript` endpoint for async processing. You can read more about Universal-2 in our announcement blog or research blog, or you can try it out now on our Playground.