With LinkedIn, and personal follow-up with the reviewer when necessary. We validate each review for authenticity via cross-reference Reviews by company employees or direct competitors. ![]() Google Translate to speak translations aloud so you can hear the pronunciation of a word. For example, it can be used by: Google Play Books to Read Aloud your favorite book. We monitor all Speech-To-Text Services reviews to prevent fraudulent reviews and keep review quality high. Speech Services powers applications to read the text on your screen aloud. See our list of best Speech-To-Text Services vendors. Amazon Transcribe is most compared with Microsoft Azure Speech Service, IBM Watson Speech To Text, Rev.ai, Speechmatics and AssemblyAI, whereas Google Cloud Speech-to-Text is most compared with IBM Watson Speech To Text, Microsoft Azure Speech Service, AssemblyAI and Rev.ai. On the other hand, the top reviewer of Google Cloud Speech-to-Text writes "Good auto-detection of languages, easily expands, and saves a lot of time". The top reviewer of Amazon Transcribe writes "Can fix errors in the transcript but needs better instructions on adjustments when used for accessibility". Amazon Transcribe is rated 7.0, while Google Cloud Speech-to-Text is rated 8.0. You can use Amazon Transcribe Medical to add medical speech to text capabilities to clinical documentation applications.Īmazon Transcribe is ranked 3rd in Speech-To-Text Services with 1 review while Google Cloud Speech-to-Text is ranked 1st in Speech-To-Text Services with 3 reviews. 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 fully searchable archive. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy.Īmazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. 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. Therefore, recorded speech needs to be converted to text before it can be used in applications. Audio data is virtually impossible for computers to search and analyze. ![]() Amazon Transcribe makes it easy for developers to add speech-to-text capability to their applications.
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