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
Amberscript
Score 8.0 out of 10
N/A
Amberscript, headquartered in Amsterdam, helps users transform audio and video to text and subtitles through the use of its AI-driven on-demand software service.
$10
Prepaid: 1 hour of audio or video uploaded
Pricing
Amazon Transcribe
Amberscript
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
Pre-Paid
$10
per hour of audio or video uploaded
Subscription
$25
per month
Manual transcription
from $1.40
per minute
Offerings
Pricing Offerings
Amazon Transcribe
Amberscript
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Discount available for annual subscription.
More Pricing Information
Community Pulse
Amazon Transcribe
Amberscript
Considered Both Products
Amazon Transcribe
No answer on this topic
Amberscript
Verified User
Director
Chose Amberscript
I feel that Amazon Transcribe was much more feature-rich, allowing for a much more real-time solution, whereas Amberscript is great for transcribing existing call recordings (or video files) to a rich text file. Amazon Transcribe will do both, while Amberscript only does the …
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.
Amberscript is great for transcribing individual audio (or video) files that reside on your computer. The ability to view and edit the text of the text file (to correct or remove data that you don't want to be shared) before the output is a great option. I feel it may be limited in the ability to transcribe live audio records such as phone calls or meetings, where we would find it very useful to have immediate access to a transcript (for coaching or sharing purposes). I feel the needs are more designed as a solution for pre-existing audio/video files versus working in real-time.
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.
I feel that Amazon Transcribe was much more feature-rich, allowing for a much more real-time solution, whereas Amberscript is great for transcribing existing call recordings (or video files) to a rich text file. Amazon Transcribe will do both, while Amberscript only does the latter. For our business, this was a significant feature loss for Amberscript.
Having an automated speech-to-text conversion allows us to reduce human hours, which would normally take notes or have to review long audio files.
Being able to transcribe multiple call recordings into a searchable text format allows for coaching of issues in a much more efficient format than an audio recording.