Speech Recognition Whisper Large v3 deploys OpenAI's open-source flagship Whisper Large v3 model on an on-premise GPU server. It is ideal for corporate meetings, classroom lectures, medical consultations, legal interviews, and other recordings. Whisper Large v3 is the current flagship of the Whisper family and brings noticeable improvements over v1 and v2 in noisy environments, mixed-language handling, and proper-noun accuracy, with support for nearly a hundred languages. Just upload an audio or video file (mp3, wav, m4a, ogg, mp4, mov, webm); the system splits it into 59-second chunks for stability on long files, runs each through Whisper Large v3, and merges the results into a single output. You get both a plain-text transcript and SRT subtitles. The SRT drops straight into Premiere, DaVinci Resolve, YouTube, or Vimeo, while the transcript can feed directly into the summary, translation, or meeting-notes modules for further processing. Because everything runs on your own GPU, you can comfortably process multi-hour recordings such as full conferences or long-form podcasts. This module does not perform speaker diarization, so it is faster and lighter than the multi-speaker variant. If you need to know who said what, use the multi-speaker module instead.