One of the standout capabilities of Universal-3 Pro is its versatility in handling the nuances of real-world conversation through explicit instructions. Users can command the model to tag non-speech audio events such as beeps or hold music, making the output far more useful for conversational analysis than standard text alone. Furthermore, it offers the flexibility to switch seamlessly between a fully verbatim transcript, which captures every stutter, restart, and informal speech pattern, and a clean, polished summary suitable for general consumption, all governed by simple input prompts, eliminating the need to manage separate workflows for different output requirements.
This model is engineered to deliver high accuracy and domain-specific understanding without the traditional overhead of building and maintaining custom models. By describing the audio context—such as accent patterns, audio quality, or required specialized vocabulary—the system adapts its processing for superior results across challenging real-world audio, including content involving code-switching between languages like Spanish and English. It excels at identifying and correctly spelling complex proper nouns and accurately labeling speaker roles, providing structured data that immediately enhances downstream applications like medical scribe tools or customer intelligence platforms.
