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Amazon Transcribe

Amazon Transcribe

Overview

What is Amazon Transcribe?

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…

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Recent Reviews
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Pricing

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Custom Language Model

$0.0001

Cloud
per second

Standard Pricing

$0.0004

Cloud
per second

Automatic Content Redaction

$0.0004

Cloud
per second

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://aws.amazon.com/transcribe/prici…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

Speech to Text Converter Using Amazon Transcribe Service With Python

YouTube

AWS Transcribe Audio Speech to Text Demo Tutorial and Making money Guide

YouTube

Amazon Transcribe video snacks: Using vocabulary filters | Amazon Web Services

YouTube

Amazon Transcribe video snacks: Using custom vocabulary | Amazon Web Services

YouTube

Medical Transcription Analysis with Machine Learning

YouTube

Amazon Transcribe to stream Speech-to-Text with python

YouTube
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Product Details

What is Amazon Transcribe?

Amazon Transcribe Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(13)

Reviews

(1-4 of 4)
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Score 10 out of 10
Vetted Review
Verified User
Incentivized
I use Amazon Transcribe in order to facilitate my video translation, transcription, and direct translation tasks. Instead of typing everything and wasting ages doing so, Amazon Transcribe does that in a very short time. Some speakers have heavy accents, and this service helps me to figure out most of the challenges in the tasks.
  • Handling tough accents
  • Handling various accents
  • Support of other local Arabic dialects.
Amazon Transcribe is particularly good when I have a that contains speakers from various regions who speak various dialects. I usually figure out 95% of the content; however, the remaining 5% is essential to my work. I can not mark that [inaudible]. Amazon Transcribe makes me feel sure that I got the 95% of the file right and help me to figure out the remaining parts.
  • Fast
  • Automated
  • It can transcribe different specialized fields.
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We are using Amazon Transcribe extensively to transcribe conversations with our customers. We are also utilizing it in in-house video demos and presentations to add subtitles. The business problems we address are inclusive of reduced labor (if transcription were to be done manually in entirety). It is quite easy to implement and its integration with our existing databases was quite simple.
  • It converts live recordings to text with few errors.
  • It has powerful speech recognition models- it transcribes well even low quality audios.
  • Chat, meetings and call transcriptions for confidential use must be accompanied by human input to edit the errors.
  • While onboarding new users, (I'm in IT) I noticed the learning curve was slow.
Amazon Transcribe has worked well on media content subtitles. The tool has been very useful in preparing demos to be used within the firm and all kinds of presentations. Being in the financial sector, our chats with our customers entail disclosure of sensitive information such as credit card details. Amazon Transcribe resolves this by redacting sensitive personal identifying information on conversations. However, new users have a hard time using the software, especially adding custom vocabulary.
  • Live recording.
  • Personal identifiable information redaction feature.
  • 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.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Our company began with AWS Transcribe when looking for a way to improve both the productivity of our agents and our customer experience. Transcribe is an easy way to quickly convert human speech into a readable (and reportable) test that helps us pull helpful data from. The functionality is nice as it lets you sort based on keywords or interruptions. One benefit we've seen is the ability to use both real-time transcribing and transcribing of finished audio files. The service is very feature-rich and provides many new options we haven't found in other services (such as allowing it to detect multiple speakers during a meeting, and track interruptions from sales agents). The tool is useful, particularly if you are able to use all of the features it offers.
  • Creating call transcripts from our call centers.
  • Searching calls for particular keywords to trace back problems.
  • Creating transcripts from company, or other, meetings.
  • Ability to protect caller data, such as credit card numbers or personal information by omitting it from transcripts.
  • 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.
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.
  • Speech to Text (both live audio or uploaded audio files).
  • Ability to search for text within an audio transcript.
  • Ability to redact or remove private information from transcripts.
  • Cost savings due to time savings
  • Ability to catch issues quickly and coach staffing
  • Ability to track conversation model usage via scripts, and view responses to make changes in realtime
Eduardo Raad | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use Amazon Transcribe to help the KYC process for digital certificates by transforming key phrases from speech to text during an authentication video. We need a fast and reliable system to transform our users' speech to text in a way that we can validate various outputs of this process via APIs and issue a final approval or denial of the user request.
  • It is fast.
  • It can be accessed via multiple types of SDKs and APIs.
  • It is effective and predictable.
  • The APIs and AWS ecosystem can be difficult to grasp if you are new.
If you need an industrial-scale speech-to-text system, Amazon Transcribe is a great option. Financial and banking are good examples of industries for which I would recommend them. Security and privacy are predictable since AWS offers policies and certifications around them. If it is the first time you use AWS, be sure to explore other products such as IAM and Lambda since you will probably need to use those two to implement a product or solution with Amazon Transcribe.
  • Security.
  • Efficiency.
  • Integrating it via APIs.
  • Cost reductions in KYC automating our video approvals.
  • Better customer service.
  • A good base for building new products and services around speech to text.
Amazon Transcribe is my first speech to text tool.
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