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An idiomatic C++ client library for the Cloud Speech-to-Text API, a service which converts audio to text by applying powerful neural network models.
While this library is GA, please note Google Cloud C++ client libraries do not follow Semantic Versioning.
QuickstartThe following shows the code that you'll run in the google/cloud/speech/quickstart/ directory, which should give you a taste of the Cloud Speech-to-Text API C++ client library API.
#include "google/cloud/speech/v2/speech_client.h"
#include "google/cloud/project.h"
#include <iostream>
// Configure a simple recognizer for en-US.
void ConfigureRecognizer(google::cloud::speech::v2::RecognizeRequest& request) {
*request.mutable_config()->add_language_codes() = "en-US";
request.mutable_config()->set_model("short");
*request.mutable_config()->mutable_auto_decoding_config() = {};
}
int main(int argc, char* argv[]) try {
auto constexpr kDefaultUri = "gs://cloud-samples-data/speech/hello.wav";
if (argc != 3 && argc != 4) {
std::cerr << "Usage: " << argv[0] << " project <region>|global [gcs-uri]\n"
<< " Specify the region desired or \"global\"\n"
<< " The gcs-uri must be in gs://... format. It defaults to "
<< kDefaultUri << "\n";
return 1;
}
std::string const project = argv[1];
std::string location = argv[2];
auto const uri = std::string{argc == 4 ? argv[3] : kDefaultUri};
namespace speech = ::google::cloud::speech_v2;
std::shared_ptr<speech::SpeechConnection> connection;
google::cloud::speech::v2::RecognizeRequest request;
ConfigureRecognizer(request);
request.set_uri(uri);
request.set_recognizer("projects/" + project + "/locations/" + location +
"/recognizers/_");
if (location == "global") {
// An empty location string indicates that the global endpoint of the
// service should be used.
location = "";
}
auto client = speech::SpeechClient(speech::MakeSpeechConnection(location));
auto response = client.Recognize(request);
if (!response) throw std::move(response).status();
std::cout << response->DebugString() << "\n";
return 0;
} catch (google::cloud::Status const& status) {
std::cerr << "google::cloud::Status thrown: " << status << "\n";
return 1;
}
This library offers multiple *Client classes, which are listed below. Each one of these classes exposes all the RPCs for a service as member functions of the class. This library groups multiple services because they are part of the same product or are often used together. A typical example may be the administrative and data plane operations for a single product.
The library also has other classes that provide helpers, configuration parameters, and infrastructure to mock the *Client classes when testing your application.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-08-14 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["This webpage provides documentation for the Cloud Speech-to-Text API C++ client library, which enables conversion of audio to text using neural network models."],["The latest release candidate is version 2.37.0-rc, with numerous previous versions available for reference, down to version 2.11.0, all accessible via links."],["The library includes several `*Client` classes, such as `AdaptationClient` and `SpeechClient` for both v1 and v2, each offering RPC functions for their respective services."],["Google Cloud C++ client libraries, including this one, do not adhere to Semantic Versioning, even though they are generally available (GA)."],["The document includes quickstart code examples demonstrating how to use the library for speech recognition, along with details on error handling, endpoint overrides, authentication credentials, retry policies, and relevant environment variables."]]],[]]
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