FAQ / Features

How are subtitles, closed captions, and Subtitles for the Deaf and Hard of Hearing (SDH) different from each other?

Subtitles are designed for hearing users, as they only cover spoken text and do not include sound effects or other audio elements. SDH, on the other hand, are designed for those who are deaf or hard of hearing by including additional information, such as speaker tags, sound effects and other elements outside of the speech itself. Closed captions are required by law on all public broadcasts, as per FCC regulations, and are typically formatted as white text on a black background that can be positioned anywhere on the screen. Read More

Speed and Accuracy Views for CART Services

We just launched a new feature that allows attendees more control over their experience with CART services transcripts. The new feature, TOGGLE, allows attendees to choose their own preference of how the live text will be presented in their web browser, whether to see the draft transcript as quickly as possible or see the corrected transcript a few seconds later. The speed view shows the text straight from the speech-to-text engine (ASR). This will also be the default view when loading the attendees user interface. Any corrections identified by human transcribers will follow a few seconds after. The accuracy view displays texts after they are reviewed by human transcribers. Any human identifiable corrections and adjustments are shown here. This outputs a transcript that leverages accuracy over speed. The text will be displayed in regular black in this view. Read more.

What is real-time transcription/CART services?

This is the process of converting spoken audio into text in real time. Verbit’s real-time solution is fortified by smart AI technology to produce a highly accurate technical output that is corrected on the spot by professional type-correctors. Read More

What is the difference between transcription and captioning?

Transcription involves converting spoken audio or video into text. Captioning divides the transcribed text into time-coded sections that are synchronized with a video. Both are typically done by listening to the audio and manually typing out the words. With Verbit, there is no need to type everything from scratch. The algorithm produces a transcribed text that requires minimal human editing, as it is already highly accurate. This process enables faster and more precise transcription at a lower cost. Read More

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