What is Rev?
- Founder: Jason Chicola
- Launch: 2010
- Use Cases: Transcribing interviews, meetings, podcasts, lectures, court proceedings, and videos; producing captions and multilingual subtitles; enhancing accessibility and content distribution.
- Technology: Hybrid AI with human editing, automatic speech recognition (ASR), secure cloud infrastructure, timestamping, and API integrations.
Rev is an AI-powered text-to-speech platform that serves as a professional transcription and captioning platform to help make spoken content accessible, searchable, and shareable. Founded in 2010 by Jason Chicola, Rev has established itself as a trusted application to work with individuals and organizations around the world. It uses sophisticated automatic speech recognition combined with professional human transcriptionists to bring you the best of both formats—fast and accurate. Businesses, educators, legal professionals, and content creators trust Rev to turn audio and video into exact written text, transcribe and add captions or subtitles to videos, or create multilingual subtitles for global audiences.
Rev has functions that include timestamps, speaker identifiers, secure handling of data, and much more, now lending itself to more rigorous verticals in a way that guarantees accuracy and confidentiality. Rev's efficient workflow and API integration allow for easy integration with your modern digital stack. Rev creates the best of both environments by pairing the efficiency of AI with human quality and has positioned itself to offer the best value, dependability, and turnaround times in the industry. Whether you are creating podcasts, a court deposition, a lecture, or even a media piece, Rev will have you covered to make and spread your message in a clearer, more efficient manner.