Speech-to-Text Client Libraries

This page shows how to get started with the Cloud Client Libraries for the Speech-to-Text API. Client libraries make it easier to access Google Cloud APIs from a supported language. Although you can use Google Cloud APIs directly by making raw requests to the server, client libraries provide simplifications that significantly reduce the amount of code you need to write.

Read more about the Cloud Client Libraries and the older Google API Client Libraries in Client libraries explained .

Install the client library

C#

If you are using Visual Studio 2017 or higher, open nuget package manager window and type the following:

Install-Package Google.Apis

If you are using .NET Core command-line interface tools to install your dependencies, run the following command:

dotnet add package Google.Apis

For more information, see Setting Up a C# Development Environment .

Go

go get cloud.google.com/go/speech/apiv1

For more information, see Setting Up a Go Development Environment .

Java

If you are using Maven , add the following to your pom.xml file. For more information about BOMs, see The Google Cloud Platform Libraries BOM .

 < dependencyManagement 
>
  < dependencies 
>
    < dependency 
>
      < groupId>com 
 . 
 google 
 . 
 cloud 
< / 
 groupId 
>
      < artifactId>libraries 
 - 
 bom 
< / 
 artifactId 
>
      < version>26 
 .66.0 
< / 
 version 
>
      < type>pom 
< / 
 type 
>
      < scope>import 
< / 
 scope 
>
    < / 
 dependency 
>
  < / 
 dependencies 
>
< / 
 dependencyManagement 
>

< dependencies 
>
  < dependency 
>
    < groupId>com 
 . 
 google 
 . 
 cloud 
< / 
 groupId 
>
    < artifactId>google 
 - 
 cloud 
 - 
 speech 
< / 
 artifactId 
>
  < / 
 dependency 
>
< / 
 dependencies 
>

If you are using Gradle , add the following to your dependencies:

  implementation 
 'com.google.cloud:google-cloud-speech:4.67.0'

If you are using sbt , add the following to your dependencies:

  libraryDependencies 
 += 
 "com.google.cloud" 
 % 
 "google-cloud-speech" 
 % 
 "4.67.0"

If you're using Visual Studio Code, IntelliJ, or Eclipse, you can add client libraries to your project using the following IDE plugins:

The plugins provide additional functionality, such as key management for service accounts. Refer to each plugin's documentation for details.

For more information, see Setting Up a Java Development Environment .

Node.js

npm install @google-cloud/speech

For more information, see Setting Up a Node.js Development Environment .

PHP

composer require google/apiclient

For more information, see Using PHP on Google Cloud .

Python

pip install --upgrade google-cloud-speech

For more information, see Setting Up a Python Development Environment .

Ruby

gem install google-api-client

For more information, see Setting Up a Ruby Development Environment .

Set up authentication

To authenticate calls to Google Cloud APIs, client libraries support Application Default Credentials (ADC) ; the libraries look for credentials in a set of defined locations and use those credentials to authenticate requests to the API. With ADC, you can make credentials available to your application in a variety of environments, such as local development or production, without needing to modify your application code.

For production environments, the way you set up ADC depends on the service and context. For more information, see Set up Application Default Credentials .

For a local development environment, you can set up ADC with the credentials that are associated with your Google Account:

Install the Google Cloud CLI. After installation, initialize the Google Cloud CLI by running the following command:
```
gcloud  
init
```
If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity .
If you're using a local shell, then create local authentication credentials for your user account:
```
gcloud  
auth  
application-default  
login
```
You don't need to do this if you're using Cloud Shell.

If an authentication error is returned, and you are using an external identity provider (IdP), confirm that you have signed in to the gcloud CLI with your federated identity .

A sign-in screen appears. After you sign in, your credentials are stored in the local credential file used by ADC .

Use the client library

The following example shows how to use the client library.

Go

  // Sample speech-quickstart uses the Google Cloud Speech API to transcribe 
 // audio. 
 package 
  
 main 
 import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "log" 
  
 speech 
  
 "cloud.google.com/go/speech/apiv1" 
  
 "cloud.google.com/go/speech/apiv1/speechpb" 
 ) 
 func 
  
 main 
 () 
  
 { 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 // Creates a client. 
  
 client 
 , 
  
 err 
  
 := 
  
 speech 
 . 
  NewClient 
 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 log 
 . 
 Fatalf 
 ( 
 "Failed to create client: %v" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 // The path to the remote audio file to transcribe. 
  
 fileURI 
  
 := 
  
 "gs://cloud-samples-data/speech/brooklyn_bridge.raw" 
  
 // Detects speech in the audio file. 
  
 resp 
 , 
  
 err 
  
 := 
  
 client 
 . 
 Recognize 
 ( 
 ctx 
 , 
  
& speechpb 
 . 
 RecognizeRequest 
 { 
  
 Config 
 : 
  
& speechpb 
 . 
 RecognitionConfig 
 { 
  
 Encoding 
 : 
  
 speechpb 
 . 
  RecognitionConfig_LINEAR16 
 
 , 
  
 SampleRateHertz 
 : 
  
 16000 
 , 
  
 LanguageCode 
 : 
  
 "en-US" 
 , 
  
 }, 
  
 Audio 
 : 
  
& speechpb 
 . 
 RecognitionAudio 
 { 
  
 AudioSource 
 : 
  
& speechpb 
 . 
 RecognitionAudio_Uri 
 { 
 Uri 
 : 
  
 fileURI 
 }, 
  
 }, 
  
 }) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 log 
 . 
 Fatalf 
 ( 
 "failed to recognize: %v" 
 , 
  
 err 
 ) 
  
 } 
  
 // Prints the results. 
  
 for 
  
 _ 
 , 
  
 result 
  
 := 
  
 range 
  
 resp 
 . 
 Results 
  
 { 
  
 for 
  
 _ 
 , 
  
 alt 
  
 := 
  
 range 
  
 result 
 . 
 Alternatives 
  
 { 
  
 fmt 
 . 
 Printf 
 ( 
 "\"%v\" (confidence=%3f)\n" 
 , 
  
 alt 
 . 
 Transcript 
 , 
  
 alt 
 . 
 Confidence 
 ) 
  
 } 
  
 } 
 }

Java

  // Imports the Google Cloud client library 
 import 
  
 com.google.cloud.speech.v1. RecognitionAudio 
 
 ; 
 import 
  
 com.google.cloud.speech.v1. RecognitionConfig 
 
 ; 
 import 
  
 com.google.cloud.speech.v1. RecognitionConfig 
. AudioEncoding 
 
 ; 
 import 
  
 com.google.cloud.speech.v1. RecognizeResponse 
 
 ; 
 import 
  
 com.google.cloud.speech.v1. SpeechClient 
 
 ; 
 import 
  
 com.google.cloud.speech.v1. SpeechRecognitionAlternative 
 
 ; 
 import 
  
 com.google.cloud.speech.v1. SpeechRecognitionResult 
 
 ; 
 import 
  
 java.util.List 
 ; 
 public 
  
 class 
 QuickstartSample 
  
 { 
  
 /** Demonstrates using the Speech API to transcribe an audio file. */ 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 ... 
  
 args 
 ) 
  
 throws 
  
 Exception 
  
 { 
  
 // Instantiates a client 
  
 try 
  
 ( 
  SpeechClient 
 
  
 speechClient 
  
 = 
  
  SpeechClient 
 
 . 
 create 
 ()) 
  
 { 
  
 // The path to the audio file to transcribe 
  
 String 
  
 gcsUri 
  
 = 
  
 "gs://cloud-samples-data/speech/brooklyn_bridge.raw" 
 ; 
  
 // Builds the sync recognize request 
  
  RecognitionConfig 
 
  
 config 
  
 = 
  
  RecognitionConfig 
 
 . 
 newBuilder 
 () 
  
 . 
  setEncoding 
 
 ( 
  AudioEncoding 
 
 . 
 LINEAR16 
 ) 
  
 . 
  setSampleRateHertz 
 
 ( 
 16000 
 ) 
  
 . 
 setLanguageCode 
 ( 
 "en-US" 
 ) 
  
 . 
 build 
 (); 
  
  RecognitionAudio 
 
  
 audio 
  
 = 
  
  RecognitionAudio 
 
 . 
 newBuilder 
 (). 
 setUri 
 ( 
 gcsUri 
 ). 
 build 
 (); 
  
 // Performs speech recognition on the audio file 
  
  RecognizeResponse 
 
  
 response 
  
 = 
  
 speechClient 
 . 
 recognize 
 ( 
 config 
 , 
  
 audio 
 ); 
  
 List<SpeechRecognitionResult> 
  
 results 
  
 = 
  
 response 
 . 
  getResultsList 
 
 (); 
  
 for 
  
 ( 
  SpeechRecognitionResult 
 
  
 result 
  
 : 
  
 results 
 ) 
  
 { 
  
 // There can be several alternative transcripts for a given chunk of speech. Just use the 
  
 // first (most likely) one here. 
  
  SpeechRecognitionAlternative 
 
  
 alternative 
  
 = 
  
 result 
 . 
 getAlternativesList 
 (). 
 get 
 ( 
 0 
 ); 
  
 System 
 . 
 out 
 . 
 printf 
 ( 
 "Transcription: %s%n" 
 , 
  
 alternative 
 . 
  getTranscript 
 
 ()); 
  
 } 
  
 } 
  
 } 
 }

Node.js

  // Imports the Google Cloud client library 
 const 
  
 speech 
  
 = 
  
 require 
 ( 
 ' @google-cloud/speech 
' 
 ); 
 // Creates a client 
 const 
  
 client 
  
 = 
  
 new 
  
 speech 
 . 
  SpeechClient 
 
 (); 
 async 
  
 function 
  
 quickstart 
 () 
  
 { 
  
 // The path to the remote LINEAR16 file 
  
 const 
  
 gcsUri 
  
 = 
  
 'gs://cloud-samples-data/speech/brooklyn_bridge.raw' 
 ; 
  
 // The audio file's encoding, sample rate in hertz, and BCP-47 language code 
  
 const 
  
 audio 
  
 = 
  
 { 
  
 uri 
 : 
  
 gcsUri 
 , 
  
 }; 
  
 const 
  
 config 
  
 = 
  
 { 
  
 encoding 
 : 
  
 'LINEAR16' 
 , 
  
 sampleRateHertz 
 : 
  
 16000 
 , 
  
 languageCode 
 : 
  
 'en-US' 
 , 
  
 }; 
  
 const 
  
 request 
  
 = 
  
 { 
  
 audio 
 : 
  
 audio 
 , 
  
 config 
 : 
  
 config 
 , 
  
 }; 
  
 // Detects speech in the audio file 
  
 const 
  
 [ 
 response 
 ] 
  
 = 
  
 await 
  
 client 
 . 
 recognize 
 ( 
 request 
 ); 
  
 const 
  
 transcription 
  
 = 
  
 response 
 . 
 results 
  
 . 
 map 
 ( 
 result 
  
 = 
>  
 result 
 . 
 alternatives 
 [ 
 0 
 ]. 
 transcript 
 ) 
  
 . 
 join 
 ( 
 '\n' 
 ); 
  
 console 
 . 
 log 
 ( 
 `Transcription: 
 ${ 
 transcription 
 } 
 ` 
 ); 
 } 
 quickstart 
 ();

Python

  # Imports the Google Cloud client library 
 from 
  
 google.cloud 
  
 import 
 speech 
 def 
  
 run_quickstart 
 () 
 - 
> speech 
 . 
 RecognizeResponse 
 : 
 # Instantiates a client 
 client 
 = 
 speech 
 . 
 SpeechClient 
 () 
 # The name of the audio file to transcribe 
 gcs_uri 
 = 
 "gs://cloud-samples-data/speech/brooklyn_bridge.raw" 
 audio 
 = 
 speech 
 . 
  RecognitionAudio 
 
 ( 
 uri 
 = 
 gcs_uri 
 ) 
 config 
 = 
 speech 
 . 
  RecognitionConfig 
 
 ( 
 encoding 
 = 
 speech 
 . 
 RecognitionConfig 
 . 
 AudioEncoding 
 . 
 LINEAR16 
 , 
 sample_rate_hertz 
 = 
 16000 
 , 
 language_code 
 = 
 "en-US" 
 , 
 ) 
 # Detects speech in the audio file 
 response 
 = 
 client 
 . 
  recognize 
 
 ( 
 config 
 = 
 config 
 , 
 audio 
 = 
 audio 
 ) 
 for 
 result 
 in 
 response 
 . 
 results 
 : 
 print 
 ( 
 f 
 "Transcript: 
 { 
 result 
 . 
 alternatives 
 [ 
 0 
 ] 
 . 
 transcript 
 } 
 " 
 )

Additional resources

C#

The following list contains links to more resources related to the client library for C#:

Go

The following list contains links to more resources related to the client library for Go:

Java

The following list contains links to more resources related to the client library for Java:

Node.js

The following list contains links to more resources related to the client library for Node.js:

PHP

The following list contains links to more resources related to the client library for PHP:

Python

The following list contains links to more resources related to the client library for Python:

Ruby

The following list contains links to more resources related to the client library for Ruby:

Speech-to-Text Client Libraries Stay organized with collections Save and categorize content based on your preferences.

Install the client library

C#

Go

Java

Node.js

PHP

Python

Ruby

Set up authentication

Use the client library

Go

Java

Node.js

Python

Additional resources

C#

Go

Java

Node.js

PHP

Python

Ruby

Speech-to-Text Client Libraries