SpeechText.AI transcribes audio and video to text, and its differentiator is domain-specific acoustic and vocabulary models rather than one general model applied to everything.
That matters more than transcription vendors usually convey. General models handle conversational speech well and then mangle exactly the words that carry the meaning – drug names, legal terminology, product names, technical jargon. A transcript that is 95% accurate but wrong on every specialist term is often more work to correct than useful, because the errors cluster precisely where accuracy counts.
It handles multiple languages and common audio and video formats. Realistic expectations still apply: heavy accents, overlapping speakers and poor recordings degrade any engine, and anything used for a formal record needs a human pass. Recording other people carries consent obligations that vary by jurisdiction.
