Accurately convert speech into text with an API powered by the best of Google’s AI research and technology.
New customers get $300 in free credits to spend on Speech-to-Text. All customers get 60 minutes for transcribing and analyzing audio free per month, not charged against your credits.
Transcribe your content with accurate captions
Enable the power of voice to create better user experiences
Improve your service with insights from customer interactions
Get started quickly with our in-console tutorial
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.
Flexible model deployment
Deploy ASR wherever you need it, whether in the cloud with the API or on-premises with Speech-to-Text On-Prem.
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.
Provide hints to boost the transcription accuracy of rare and domain-specific words or phrases. Use classes to automatically convert spoken numbers into addresses, years, currencies, and more.
Choose from a selection of trained models for voice control, phone call, and video transcription optimized for domain-specific quality requirements.
Easily compare quality
Experiment on your speech audio with our easy-to-use user interface. Try different configurations to optimize quality and accuracy.
Run Google Cloud's speech algorithms locally on any device, regardless of internet connectivity. Promise users that their voice data will never leave their device.
Foundation model for Speech-to-Text
Build voice-enabled applications for global audiences with speech models that are powered by Chirp, Google Cloud’s foundation model for speech trained on millions of hours of audio data and billions of text sentences.
Learn from customers building audio and voice solutions with Speech-to-Text
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Tutorials and getting started resources
Speech-to-Text in-console tutorials
Learn how to add Speech-to-Text to your existing apps. Get started quickly with our in-console tutorial.
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.|
Speech-to-Text is priced based on the amount of audio
successfully processed by the service each month, measured
in increments of one second.
Speech-to-Text is priced based on the amount of audio successfully processed by the service each month, measured in increments of one second.