Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, to automate closed captioning and subtitling, and to generate metadata for media assets to create a searchable archive. Amazon Transcribe Medical can be added to provide medical speech to text capabilities to clinical documentation applications.
$0
per second
Verbit
Score 9.4 out of 10
N/A
Verbit, from Verbit.ai headquartered in New York, is described by the vendor as a tool that harnesses the power of artificial and human intelligence to provide a smart transcription and captioning solution.
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Pricing
Amazon Transcribe
Verbit
Editions & Modules
Custom Language Model
$0.0001
per second
Standard Pricing
$0.0004
per second
Automatic Content Redaction
$0.0004
per second
Transcribe Medical
$0.00125
per second
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Offerings
Pricing Offerings
Amazon Transcribe
Verbit
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon Transcribe
Verbit
Considered Both Products
Amazon Transcribe
Verified User
Anonymous
Chose Amazon Transcribe
I use Google Cloud Speech to Text and Amazon Transcribe. What makes Amazon Transcribe better for me is the accuracy of the audio-to-text conversion. I have found out that Amazone Transcribe is better at handling homophones, contractions, abbreviations, and acronyms. Another …
Amazon Transcribe can be an excellent tool for businesses where being able to convert speech or audio to text, in a searchable and reportable form, would be useful. For a call center (inbound or outbound), the ability to have a rich transcription of each call (and being able to search it for keywords) is an incredibly valuable benefit. For business meetings, being able to turn a 60 or 90-minute call into a readable transcript to search or refresh yourself or others is a very large time saver which will help you work more efficiently. The software does offer many deeper integrations, such as being able to track script usage (for call centers) or interruptions, deviations, etc.. which would be very valuable to a management team and for training purposes.
Verbit offers a captioning service that meets our requirements and is less expensive than other services we have used in the past. It offers a web interface as well as being integrated into our LMS (Canvas) so it is very flexible in how we can use it.
Since it is integrated with our media management software (Kaltura), it works seamlessly in the background.
One caveat is that you can't search for a unique ID number in the web interface, so if you have two or more videos that have the same name, you don't know which one to caption.
There is a small learning curve to begin using ALL of the features the software offers. Additional tech support may be required for some integrations, so it's worth looking into if planning to use all of the features they offer.
I use Google Cloud Speech to Text and Amazon Transcribe. What makes Amazon Transcribe better for me is the accuracy of the audio-to-text conversion. I have found out that Amazone Transcribe is better at handling homophones, contractions, abbreviations, and acronyms. Another feature that makes Amazon Transcribe my No. 1 choice is its use of punctuation marks. I can also feed my own list of vocabulary into Amazon Transcribe to help me acquire better results.
Working in the backend, I would say the most important ROI has been data security through implementation of enterprise-grade technical and physical controls which prevent unauthorized access to our content.