Google Speech-to-Text enables developers to convert audio to text by applying powerful neural network models in an easy-to-use API. The API recognizes 120 languages and variants to support your global user base. You can enable voice command-and-control, transcribe audio from call centers, and more. It can process real-time streaming or prerecorded audio, using Google’s machine learning technology.
Easily add real-time speech-to-text capabilities to your applications for scenarios like voice commands, conversation transcription, and call center log analysis.
Tailor your speech recognition models to adapt to users’ speaking styles, expressions, and unique vocabularies, and to accommodate background noises, accents, and voice patterns.
Build smart apps and services that speak to users naturally with the Text to Speech service. Convert text to audio in near real time, tailor to change the speed of speech, pitch, volume, and more.
Give your application a one-of-a-kind, recognizable brand voice using custom voice models. Simply record and upload training data, and the service will create a unique voice font tuned to your recording.
Google Cloud Speech-to-Text is ranked 4th in Speech-To-Text Services while Microsoft Azure Speech Service is ranked 2nd in Speech-To-Text Services. Google Cloud Speech-to-Text is rated 0.0, while Microsoft Azure Speech Service is rated 0.0. On the other hand, Google Cloud Speech-to-Text is most compared with IBM Watson Speech To Text and Amazon Transcribe, whereas Microsoft Azure Speech Service is most compared with Amazon Polly, Amazon Transcribe, IBM Watson Speech To Text and Google Cloud Text-to-Speech.
See our list of best Speech-To-Text Services vendors.
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