About Archives - Verbit

FAQ About



Latest posts

Nimdzi header
Verbit named to Nimdzi 100 list as top-tier language service provider  Verbit named to Nimdzi 100 list as top-tier language service provider 
Overhead view of students at a desk receiving online instruction from a teacher.
Best practices for creating accessible video from a Canvas Studio expert  Best practices for creating accessible video from a Canvas Studio expert 

How can I book a Verbit Live / CART Session?

On Verbit’s homepage, click on the ‘Live’ link. You will need to be logged in as an account administrator to see this option. Then click the ‘Book Now’ button. Finally, fill out the session details form with your name, profile, start and end times, speaker email address, notes for our transcribers and any glossary items to be discussed. Then click ‘Confirm’ and you’re all set. See these instructions visually here.

The Customer Dashboard

The Customer Dashboard allows Verbit customers to monitor their jobs statuses, review payments and aid in generating usage reports and summaries. For more insights on how to open the customer dashboard and parts of the dashboard read more here.

How does Verbit’s smart technology make a difference?

Verbit incorporates the latest advancements in deep learning, neural networks and natural language understanding into an adaptive learning cycle that trains our algorithm to improve accuracy over time.

Read More

How much does Verbit’s™ solution cost?

Pricing is done on a case-by-case basis. We create custom contracts for every customer based on their individual needs, taking into account factors such as the quantity of audio minutes and urgency, among other considerations. We charge per audio minute and there are never any hidden fees.

For more information, click here to fill in your details and our experts will get back to you with the relevant details: https://info.verbit.ai/pricing

Read More


New Security Capabilities

Verbit understands that security is a top priority for your organization and our customers. We’re further enhancing our security processes with two new features, designed to ensure that you’re in complete control of your confidential information.

Password Policy:
You’ll be able to create, change and safeguard a password to verify your identity and obtain access to files on the platform. This feature will be rolled out gradually within the next three months. Read more about it here: https://verbit-ai.zendesk.com/hc/en-us/articles/360016765791-How-do-I-change-my-Verbit-password-

Platform Auto-Logout:
After 30 minutes of inactivity on the platform, users will automatically be logged out. Learn more about the feature here: https://verbit-ai.zendesk.com/hc/en-us/articles/360029903231-New-Feature-Automatic-Logout. If you’re interested in enabling this capability, feel free to get in touch with your dedicated Customer Success Manager.

Read More

What are the advantages of Verbit’s technology versus other transcription services?

Verbit’s in-house ASR technology enables us to significantly reduce costs and, at the same time, increase accuracy to reach a targeted 99% accuracy. Verbit’s smart technology is based on three models: linguistic, acoustic and contextual events. Adaptive algorithms produce the most detailed speech-to-text files and provide greater accuracy and fast turnaround times for a lower cost.

Read More

What is Verbit’s human editing process?

Once the initial technology-produced transcript is ready, the file passes to our human transcribers for another layer of review when requested. This step is divided into two stages where editors and then reviewers work to improve the accuracy of the transcript with an aim to bring it to a targeted 99% accuracy level. All of our transcribers are highly qualified and must pass a rigorous test with a 10% acceptance rate.

How does Verbit’s solution work?

Your files are uploaded or shared via API or a platform integration. Our in-house Automated Speech Recognition (ASR) technology then automatically transcribes the file. When using Verbit’s Pro solution, the file is then edited and reviewed by professional transcribers. Adaptive algorithms enable the technology to continually become smarter, faster, and more accurate over time.

Does Verbit integrate with video hosting or learning management platforms?

Yes. We currently integrate with the following LMS platforms: Blackboard, Canvas and Brightcove and these Content Management Systems: Panopto, Kaltura, YouTube, Vimeo, Limelight and VoiceThread. Click here to learn more.

Does Verbit support transcription for complex topics?

Yes. Verbit’s sophisticated technology combines linguistic, acoustic and contextual events to identify the topic of the file and engage a database of the most-used words accordingly for higher accuracy, even with complex terminology.

What languages does Verbit support?

Verbit currently supports English and Spanish, with plans to expand to include additional languages in the near future.

Read More

What industries does Verbit specialize in?

Verbit serves customers across a wide variety of verticals. Our main development focus is on transcription and captioning services for the higher education and legal industries, but the service is used at conferences and by additional industries, including media, entertainment, government, and finance.

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

How does artificial intelligence fit into the process?

Artificial intelligence automates the transcription and captioning process. Once complete, any corrections or modifications to the technical output are fed back to the ASR engine through adaptive algorithms. New data is also inputted to provide context and the system is trained to recognize different accents and audio quality characteristics of our customers. These features make our technology more accurate over time.