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
HappyScribe
Score 10.0 out of 10
N/A
HappyScribe is a platform for transcription and subtitling needs, from the company of the same name in Barcelona. The vendor aims to solve speech to text technology by building a multilingual and frictionless platform for transcription and subtitles through our machine-generated and human-made transcription & subtitling offering.
$0.20
per minute
Pricing
Amazon Transcribe
HappyScribe
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
Automatic
$0.20
per minute
Human-made
$1.95
per minute
Human translation (for subtitles)
$24.79
per minute
Offerings
Pricing Offerings
Amazon Transcribe
HappyScribe
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
HappyScribe
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 …
For our use, Happy Scribe's machine translation is nearly as accurate as the human translation services we used before at considerably lower cost. The web app is better designed than either of the others we tried, though we haven't used those alternatives in the past several …
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.
Happy Scribe saves us a lot of time in generating transcripts and subtitles. We have used other services, including human transcription, and really find Happy Scribe to be adequate for a starting point. Even human transcription isn't perfect when the transcriptionist isn't familiar with the domain and specific vocabulary used.
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.
For our use, Happy Scribe's machine translation is nearly as accurate as the human translation services we used before at considerably lower cost. The web app is better designed than either of the others we tried, though we haven't used those alternatives in the past several years
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.