Accurately convert speech into text with an API powered by the best of Google’s AI research and technology.
Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR).
Easy model customization
Experiment with, create, and manage custom resources with the Speech-to-Text UI.
Put Speech-to-Text into action
As in this demo, you can easily infuse speech transcription
into your applications with the Speech-to-Text API.
As in this demo, you can easily infuse speech transcription into your applications with the Speech-to-Text API.
Learn the fundamental concepts in Speech-to-Text.
Quickstart: Using the Speech-to-Text-UI
Learn how to set up your project and authorization, create and refine a transcription, and learn how to use this configuration in the console.
Quickstart: Using the gcloud tool
Send an audio transcription request to Speech-to-Text using the gcloud tool from the command line.
Review the best practices for transcribing audio with Speech-to-Text.
Explore Speech-to-Text tutorials, codelabs, and more.
Learn which languages are available for Speech-to-Text, plus the features and recognition models available for each.
Learn more about Speech-to-Text On-Prem, which enables easy integration of Google speech recognition technology into your on-premises solutions.
Empower your customer service system by adding IVR (interactive voice response) and agent conversations to your call centers. Perform analytics on your conversation data to gain more insights into the calls and your customers. Speech-to-Text and its enhanced phone call models are already powering Google Cloud’s powerful solution, Contact Center AI.
Implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications.
Transcribe your audio and video to include captions and improve your audience reach and experience. Add subtitles to your content real time to your streaming content. Our video transcription model is ideal for indexing or subtitling video and/or multispeaker content and uses machine learning technology that is similar to video captioning on YouTube.
|Global vocabulary||Support your global user base with Speech-to-Text’s extensive language support in over 125 languages and variants.|
|Streaming speech recognition||Receive real-time speech recognition results as the API processes the audio input streamed from your application’s microphone or sent from a prerecorded audio file (inline or through Cloud Storage).|
|Speech adaptation||Customize speech recognition to transcribe domain-specific terms and rare words by providing hints and boost your transcription accuracy of specific words or phrases. Automatically convert spoken numbers into addresses, years, currencies, and more using classes.|
|Speech-to-Text On-Prem||Have full control over your infrastructure and protected speech data while leveraging Google’s speech recognition technology on-premises, right in your own private data centers. Contact sales to get started.|
|Multichannel recognition||Speech-to-Text can recognize distinct channels in multichannel situations (e.g., video conference) and annotate the transcripts to preserve the order.|
|Noise robustness||Speech-to-Text can handle noisy audio from many environments without requiring additional noise cancellation.|
|Domain-specific models||Choose from a selection of trained models for voice control and phone call and video transcription optimized for domain-specific quality requirements. For example, our enhanced phone call model is tuned for audio originated from telephony, such as phone calls recorded at an 8khz sampling rate.|
|Content filtering||Profanity filter helps you detect inappropriate or unprofessional content in your audio data and filter out profane words in text results.|
|Transcription evaluation||Upload your own voice data and have it transcribed with no code. Evaluate quality by iterating on your configuration.|
|Automatic punctuation (beta)||Speech-to-Text accurately punctuates transcriptions (e.g., commas, question marks, and periods).|
|Speaker diarization (beta)||Know who said what by receiving automatic predictions about which of the speakers in a conversation spoke each utterance.|