Save Time, Pay little, and Be More Productive
I use Amazon Transcribe in order to facilitate my video translation, transcription, and direct translation tasks. Instead of typing …
Starting at $0 per second
View PricingOverview
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…
Recent Reviews
Pricing
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
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
Product Details
- About
- Tech Details
What is Amazon Transcribe?
Amazon Transcribe Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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Reviews and Ratings
(13)Reviews
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July 20, 2022
Save Time, Pay little, and Be More Productive
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.
- 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.
With Amazon Transcribe, it has been effective to extract actionable insights from clients' chats which advance engagements in real-time.
- Content discovery advancements through audio and video contents conversions to texts.
- Creating notes for meetings has been at ease with this solution.
- Real-time transcription: sending live audio and videos in response to searchable texts.
- It was not easy to bring Amazon Transcribe to life, but kudos to the vendor for the free support they offered.
- Audio input tools such as batch and streaming transcription.
- Custom vocabulary: Help add new words to simplify transcripts.
- Vocabulary filtering tools.
- Data protection features.
- Support video files, so we save time as we do not need to change them to audio contents.
- Automatic redaction of PII (personally identifiable information)
- Real-time data processing reduces human hours needed to transcribe.
Unlike Amazon Transcribe, DSR isn’t only expensive but also fails to protect sensitive PII data.
We currently use Amazon Transcribe to help with transcoding meetings + recordings so we can both send them out to hearing impaired employees and send along meeting transcripts that people can quickly read and get an idea of the meeting contents + purpose without the need to listen to a hour long meeting.
- Voice-to-text transcribing
- Transposing and implementing text via phone conversations
- Working quickly so you can see text in near real-time
- The accuracy model has to be trained, so it's not necessarily plug and play
- Call analytics setup was a bit troublesome
- Rapid voice to text
- Accuracy of the transcription
- Search feature
- More inclusive envrionment
- Cut down on long meetings