Amazon Transcribe makes it easy for developers to add speech to text capabilities to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy.
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, automate subtitling, and generate metadata for media assets to create a fully searchable archive. You can use Amazon Transcribe Medical to add medical speech to text capabilities to clinical documentation applications.
Create easy-to-read transcriptions
Amazon Transcribe automatically adds speaker diarization, punctuation and formatting so that the output closely matches the quality of manual transcription at a fraction of the time and expense. Speech to text processing can be applied to live audio streams or batch audio content for transcription. Learn more »
Ensure customer privacy
When instructed, Amazon Transcribe can identify and redact sensitive personally identifiable information (PII) from the supported language transcripts. This allows contact centers to easily review and share the transcripts for customer experience insight and agent training. Learn more »
Increase accuracy with customized transcriptions
With custom vocabulary lists and custom language models, you can add new words to the base vocabulary or train your own language model to generate more accurate transcriptions for domain-specific words and phrases like product names, technical terminology, or names of individuals. Learn more »
Filter specific words
When needed, Amazon Transcribe enables you to mask or remove words that are profane or unsuitable for your audience from transcription results with vocabulary filtering. Learn more »
Intuit is a provider of innovative financial management solutions, including TurboTax and QuickBooks, to approximately 50 million customers worldwide.
With more than 275 million minutes of customer interactions each year, Intuit uses Contact Lens for Amazon Connect, which provides contact center analytics powered by machine learning (ML), to provide accurate call transcriptions, redaction of sensitive data, and automated call metrics to determine the effectiveness of its contact center. Contact Lens builds on AWS ML services, using Amazon Transcribe, a service that automatically converts speech to text, to generate call transcripts and Amazon Comprehend, a natural language processing (NLP) service, to extract sentiment.
The National Association for Stock Car Auto Racing (NASCAR) is an American auto racing sanctioning and operating company that is best known for stock car racing.
"We selected Amazon Transcribe to power the captioning of NASCAR’s VOD content on our multi-site website spanning 195 countries and 29 languages. With Amazon Transcribe, we were able to build an automated system that is almost entirely hands off for our team while giving us the ability to control how to customize the speech recognition for our needs. Since implementing Amazon Transcribe, we automatically add captions to 99% of our VOD content and spend 97% less than what we had originally estimated.”
Patrick Carroll, Senior Director of Development – NASCAR
Audioburst is a technology provider that is transforming the discovery, distribution, and personalization of talk audio.
“Every day we analyze 225,000 minutes of live talk radio to create thousands of short, topical segments of information for playlists and search. We chose Amazon Transcribe because it is a remarkable speech recognition engine that helps us transcribe live audio content for our downstream content production work streams. Transcribe provides a robust system that can simultaneously convert a hundred audio streams into text for a reasonable cost. With this high quality output text, we are then able to quickly process live talk radio episodes into consumable segments that provide next-gen listening experiences and drive higher engagement.”
Gal Klein, Co-Founder and CTO – Audioburst