Amazon Transcribe Description
Amazon Transcribe allows developers to add speech-to-text capabilities to their applications. Computers cannot search for and analyze audio data. Recorded speech must be converted into text before it can be used for applications. Customers used to have to work with transcription companies that required them to sign lengthy contracts and were difficult to integrate into their technology stacks. Many of these providers use outdated technology which is difficult to adapt to different situations, such as low-fidelity phone audio that is common in contact centers. This results in poor accuracy. Amazon Transcribe uses deep learning called automatic speech recognition (ASR), to quickly convert speech into text. Amazon Transcribe is a tool that can be used to transcribe customer calls, automate subtitles, and generate metadata to support media assets in order to create a searchable archive.
Amazon Transcribe Alternatives
Google Cloud Speech-to-Text
An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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Rev
Rev offers premium on-demand, manual, and automated transcription, closed captioning, and foreign subtitling services. Rev has 170,000+ clients, ranging from freelance journalists to global corporations. Rev processes more audio/video than any other provider, and can scale to meet any customer's requirements. Pricing is straightforward, starting at $0.25 per audio/video min for automated speech-to text services and $1.25/min manual with 99% accuracy. Rev.ai is a speech recognition engine available to companies who request it.
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Speechmatics
Speechmatics is the most accurate and inclusive speech-to-text API ever released.
Speechmatics is the world’s leading expert in Speech Technology, combining the latest breakthroughs in AI and ML to unlock the business value in human speech.
Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more.
How is Speechmatics different?
* The most accurate speech recognition on the market
* 55 languages with vast accent and dialect coverage
* Cloud-based or on-premises deployment options for data security
* Real-time transcription with low latency and high accuracy
* Real-time translation with 69 language pairs
* Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events
* Fast and secure transcriptions for pre-recorded audio
* Automatic translation and language identification
* A culture of R&D in deep learning and speech recognition
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Azure Speech to Text
Transcribe audio to text quickly and accurately in more than 85 languages. To improve accuracy for domain-specific terminology, you can customize models. You can get more value from spoken voice by enabling search, analytics and facilitating action in your preferred programming language. With state-of the-art speech recognition, you can get accurate audio-to-text transcriptions. You can add specific words to your vocabulary or create your own speech-to text models. Speech to Text can be used anywhere, in the cloud and at the edge in containers. The same robust technology powers speech recognition across Microsoft products. Convert audio from microphones to text using blob storage. To determine who said what, use speaker diarisation. You can get readable transcripts with automatic formatting. You can tailor your speech models to suit industry and organization terminology.
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Pricing
Pricing Starts At:
$0.00013
Pricing Information:
per second
Integrations
Company Details
Company:
Amazon
Year Founded:
1994
Headquarters:
United States
Website:
aws.amazon.com/transcribe/
Media
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Product Details
Platforms
SaaS
Type of Training
Documentation
In Person
Customer Support
Phone Support
Online
Amazon Transcribe Features and Options
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