Translating text (Advanced)

Cloud Translation - Advanced supports translating text using custom AutoML Translation models, and for creating glossaries to ensure that the Cloud Translation API translates a customer's domain-specific terminology correctly.

Note: See Migrating to Cloud Translation - Advanced for details regarding differences between Basic and Advanced.

If you want to use AutoML custom models for your project, you must enable the AutoML API (automl.googleapis.com). For instructions on installing the Cloud SDK, setting up a project with a service account, and obtaining an access token, see the Setup page. If you plan to use a glossary or the batch features, you also need to create a Cloud Storage bucket and grant your service account access to it.

Before you begin

Before you can start using the Cloud Translation API, you must have a project that has the Cloud Translation API enabled, and you must have a private key with the appropriate credentials. You can also install client libraries for common programming languages to help you make calls to the API. For more information, see the Setup page.

Comparing models

When you request translation from Cloud Translation - Advanced, you can specify which translation model to use. If no model is specified, the nmt model is used.

Model	Best fit	Examples
Neural Machine Translation (NMT) model	General text use cases such as common website content that is not specific to a domain, for example. news articles.	News articles, Social media, Chat applications, Reviews
AutoML Translation model	Domain specific text. Customers provide training data specific to their use cases, for given language pairs to customize Google's NMT model for the domain purpose.	Financial News, technical documents, any text that uses terms and jargon unique to that field.

You specify the translation model using its model ID. For the NMT model, the model ID is general/nmt. See the next section for information about AutoML Translation model IDs.

Translating text

The input text can be plain text or HTML. Cloud Translation API does not translate any HTML tags in the input, only text that appears between the tags. The output retains the (untranslated) HTML tags, with the translated text between the tags to the extent possible due to differences between the source and target languages. The order of HTML tags in the output may differ from the order in the input text due to word order changes in the translation.

Note: Cloud Translation API does not support input text using other markup languages such as XML. The result when attempting to translate content with other forms of markup is undefined.

Translating input strings

Note: Your project-number or project-id can be found in the Google Cloud Console.

REST & CMD LINE

To translate text, make a POST request and provide JSON in the request body that identifies the language to translate from (source_language_code), the language to translate to (target_language_code), and the text to translate (contents). You can provide multiple strings of text to translate by including them in your JSON (see example). You identify your source and target languages by using their ISO-639-1 codes.

The following shows an example of a POST request using curl or PowerShell. The example uses the access token for a service account set up for the project using the Google Cloud Cloud SDK. For instructions on installing the Cloud SDK, setting up a project with a service account, and obtaining an access token, see the Setup page.

Before using any of the request data, make the following replacements:

• PROJECT_NUMBER_OR_ID: your Google Cloud project number or ID

HTTP method and URL:

POST https://translation.googleapis.com/v3/projects/PROJECT_NUMBER_OR_ID:translateText

Request JSON body:

{
  "sourceLanguageCode": "en",
  "targetLanguageCode": "ru",
  "contents": ["Dr. Watson, come here!", "Bring me some coffee!"]
}

To send your request, choose one of these options:

curl

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

Save the request body in a file called request.json, and execute the following command:

curl -X POST \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://translation.googleapis.com/v3/projects/PROJECT_NUMBER_OR_ID:translateText
"

PowerShell

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

Save the request body in a file called request.json, and execute the following command:

$cred = gcloud auth application-default print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
  -Method POST `
  -Headers $headers `
  -ContentType: "application/json; charset=utf-8" `
  -InFile request.json `
  -Uri "https://translation.googleapis.com/v3/projects/PROJECT_NUMBER_OR_ID:translateText
" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "translations": [
    {
      "translatedText": "Доктор Ватсон, иди сюда!",
    },
    {
      "translatedText": "Принеси мне кофе!",
    }
  ]
}

The translations array contains two translatedText fields with translations provided in the requested targetLanguageCode language (ru: Russian). The translations are listed in the same order as the corresponding source array in the request.

Go

Before trying this sample, follow the Go setup instructions in the Translation quickstart using client libraries. For more information, see the Translation Go API reference documentation.

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import (
	"context"
	"fmt"
	"io"

	translate "cloud.google.com/go/translate/apiv3"
	translatepb "google.golang.org/genproto/googleapis/cloud/translate/v3"
)

// translateText translates input text and returns translated text.
func translateText(w io.Writer, projectID string, sourceLang string, targetLang string, text string) error {
	// projectID := "my-project-id"
	// sourceLang := "en-US"
	// targetLang := "fr"
	// text := "Text you wish to translate"

	ctx := context.Background()
	client, err := translate.NewTranslationClient(ctx)
	if err != nil {
		return fmt.Errorf("NewTranslationClient: %v", err)
	}
	defer client.Close()

	req := &translatepb.TranslateTextRequest{
		Parent:             fmt.Sprintf("projects/%s/locations/global", projectID),
		SourceLanguageCode: sourceLang,
		TargetLanguageCode: targetLang,
		MimeType:           "text/plain", // Mime types: "text/plain", "text/html"
		Contents:           []string{text},
	}

	resp, err := client.TranslateText(ctx, req)
	if err != nil {
		return fmt.Errorf("TranslateText: %v", err)
	}

	// Display the translation for each input text provided
	for _, translation := range resp.GetTranslations() {
		fmt.Fprintf(w, "Translated text: %v\n", translation.GetTranslatedText())
	}

	return nil
}

Java

Before trying this sample, follow the Java setup instructions in the Translation quickstart using client libraries. For more information, see the Translation Java API reference documentation.

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import com.google.cloud.translate.v3.LocationName;
import com.google.cloud.translate.v3.TranslateTextRequest;
import com.google.cloud.translate.v3.TranslateTextResponse;
import com.google.cloud.translate.v3.Translation;
import com.google.cloud.translate.v3.TranslationServiceClient;
import java.io.IOException;

public class TranslateText {

  public static void translateText() throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "YOUR-PROJECT-ID";
    // Supported Languages: https://cloud.google.com/translate/docs/languages
    String targetLanguage = "your-target-language";
    String text = "your-text";
    translateText(projectId, targetLanguage, text);
  }

  // Translating Text
  public static void translateText(String projectId, String targetLanguage, String text)
      throws IOException {

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (TranslationServiceClient client = TranslationServiceClient.create()) {
      // Supported Locations: `global`, [glossary location], or [model location]
      // Glossaries must be hosted in `us-central1`
      // Custom Models must use the same location as your model. (us-central1)
      LocationName parent = LocationName.of(projectId, "global");

      // Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
      TranslateTextRequest request =
          TranslateTextRequest.newBuilder()
              .setParent(parent.toString())
              .setMimeType("text/plain")
              .setTargetLanguageCode(targetLanguage)
              .addContents(text)
              .build();

      TranslateTextResponse response = client.translateText(request);

      // Display the translation for each input text provided
      for (Translation translation : response.getTranslationsList()) {
        System.out.printf("Translated text: %s\n", translation.getTranslatedText());
      }
    }
  }
}

Node.js

Before trying this sample, follow the Node.js setup instructions in the Translation quickstart using client libraries. For more information, see the Translation Node.js API reference documentation.

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/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'global';
// const text = 'text to translate';

// Imports the Google Cloud Translation library
const {TranslationServiceClient} = require('@google-cloud/translate');

// Instantiates a client
const translationClient = new TranslationServiceClient();

async function translateText() {
  // Construct request
  const request = {
    parent: `projects/${projectId}/locations/${location}`,
    contents: [text],
    mimeType: 'text/plain', // mime types: text/plain, text/html
    sourceLanguageCode: 'en',
    targetLanguageCode: 'sr-Latn',
  };

  // Run request
  const [response] = await translationClient.translateText(request);

  for (const translation of response.translations) {
    console.log(`Translation: ${translation.translatedText}`);
  }
}

translateText();

Python

Before trying this sample, follow the Python setup instructions in the Translation quickstart using client libraries. For more information, see the Translation Python API reference documentation.

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from google.cloud import translate


def translate_text(text="YOUR_TEXT_TO_TRANSLATE", project_id="YOUR_PROJECT_ID"):
    """Translating Text."""

    client = translate.TranslationServiceClient()

    location = "global"

    parent = f"projects/{project_id}/locations/{location}"

    # Detail on supported types can be found here:
    # https://cloud.google.com/translate/docs/supported-formats
    response = client.translate_text(
        request={
            "parent": parent,
            "contents": [text],
            "mime_type": "text/plain",  # mime types: text/plain, text/html
            "source_language_code": "en-US",
            "target_language_code": "fr",
        }
    )

    # Display the translation for each input text provided
    for translation in response.translations:
        print("Translated text: {}".format(translation.translated_text))

Additional languages

C#: Please follow the C# setup instructions on the client libraries page and then visit the Translation reference documentation for .NET.

PHP: Please follow the PHP setup instructions on the client libraries page and then visit the Translation reference documentation for PHP.

Ruby: Please follow the Ruby setup instructions on the client libraries page and then visit the Translation reference documentation for Ruby.

Translating text using an AutoML Translation custom model

REST & CMD LINE

This example translates text using an AutoML Translation model whose model ID is TRL1395675701985363739. You can get the model ID for an AutoML Translation model from the list of models in the AutoML Translation UI or from the API response when you train the model.

Note: The specified AutoML Translation model must be associated with the current Google Cloud project.

Make sure you have enabled the Cloud AutoML API for your project. This is necessary when using AutoML models with Cloud Translation API. See this Getting started document to enable the API.

Before using any of the request data, make the following replacements:

• PROJECT_NUMBER_OR_ID: your Google Cloud project number or ID

HTTP method and URL:

POST https://translation.googleapis.com/v3/projects/PROJECT_NUMBER_OR_ID/locations/us-central1:translateText

Request JSON body:

{
  "model": "projects/PROJECT_NUMBER_OR_ID/locations/us-central1/models/TRL1395675701985363739",
  "sourceLanguageCode": "en",
  "targetLanguageCode": "ru",
  "contents": ["Dr. Watson, please discard your trash. You've shared unsolicited email with me.
  Let's talk about spam and importance ranking in a confidential mode."]
}

To send your request, choose one of these options:

curl

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

Save the request body in a file called request.json, and execute the following command:

curl -X POST \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://translation.googleapis.com/v3/projects/PROJECT_NUMBER_OR_ID/locations/us-central1:translateText
"

PowerShell

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

Save the request body in a file called request.json, and execute the following command:

$cred = gcloud auth application-default print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
  -Method POST `
  -Headers $headers `
  -ContentType: "application/json; charset=utf-8" `
  -InFile request.json `
  -Uri "https://translation.googleapis.com/v3/projects/PROJECT_NUMBER_OR_ID/locations/us-central1:translateText
" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "translation": {
    "translatedText": "Доктор Ватсон, пожалуйста, откажитесь от своего мусора.
    Вы поделились нежелательной электронной почтой со мной. Давайте поговорим о
    спаме и важности рейтинга в конфиденциальном режиме.",
    "model": "projects/project-number/locations/us-central1/models/TRL1395675701985363739"
  }
}

Go

Before trying this sample, follow the Go setup instructions in the Translation quickstart using client libraries. For more information, see the Translation Go API reference documentation.

View on GitHub Feedback

import (
	"context"
	"fmt"
	"io"

	translate "cloud.google.com/go/translate/apiv3"
	translatepb "google.golang.org/genproto/googleapis/cloud/translate/v3"
)

// translateTextWithModel translates input text and returns translated text.
func translateTextWithModel(w io.Writer, projectID string, location string, sourceLang string, targetLang string, text string, modelID string) error {
	// projectID := "my-project-id"
	// location := "us-central1"
	// sourceLang := "en"
	// targetLang := "fr"
	// text := "Hello, world!"
	// modelID := "your-model-id"

	ctx := context.Background()
	client, err := translate.NewTranslationClient(ctx)
	if err != nil {
		return fmt.Errorf("NewTranslationClient: %v", err)
	}
	defer client.Close()

	req := &translatepb.TranslateTextRequest{
		Parent:             fmt.Sprintf("projects/%s/locations/%s", projectID, location),
		SourceLanguageCode: sourceLang,
		TargetLanguageCode: targetLang,
		MimeType:           "text/plain", // Mime types: "text/plain", "text/html"
		Contents:           []string{text},
		Model:              fmt.Sprintf("projects/%s/locations/%s/models/%s", projectID, location, modelID),
	}

	resp, err := client.TranslateText(ctx, req)
	if err != nil {
		return fmt.Errorf("TranslateText: %v", err)
	}

	// Display the translation for each input text provided
	for _, translation := range resp.GetTranslations() {
		fmt.Fprintf(w, "Translated text: %v\n", translation.GetTranslatedText())
	}

	return nil
}

Java

Before trying this sample, follow the Java setup instructions in the Translation quickstart using client libraries. For more information, see the Translation Java API reference documentation.

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import com.google.cloud.translate.v3.LocationName;
import com.google.cloud.translate.v3.TranslateTextRequest;
import com.google.cloud.translate.v3.TranslateTextResponse;
import com.google.cloud.translate.v3.Translation;
import com.google.cloud.translate.v3.TranslationServiceClient;
import java.io.IOException;

public class TranslateTextWithModel {

  public static void translateTextWithModel() throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "YOUR-PROJECT-ID";
    // Supported Languages: https://cloud.google.com/translate/docs/languages
    String sourceLanguage = "your-source-language";
    String targetLanguage = "your-target-language";
    String text = "your-text";
    String modelId = "YOUR-MODEL-ID";
    translateTextWithModel(projectId, sourceLanguage, targetLanguage, text, modelId);
  }

  // Translating Text with Model
  public static void translateTextWithModel(
      String projectId, String sourceLanguage, String targetLanguage, String text, String modelId)
      throws IOException {

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (TranslationServiceClient client = TranslationServiceClient.create()) {
      // Supported Locations: `global`, [glossary location], or [model location]
      // Glossaries must be hosted in `us-central1`
      // Custom Models must use the same location as your model. (us-central1)
      String location = "us-central1";
      LocationName parent = LocationName.of(projectId, location);
      String modelPath =
          String.format("projects/%s/locations/%s/models/%s", projectId, location, modelId);

      // Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
      TranslateTextRequest request =
          TranslateTextRequest.newBuilder()
              .setParent(parent.toString())
              .setMimeType("text/plain")
              .setSourceLanguageCode(sourceLanguage)
              .setTargetLanguageCode(targetLanguage)
              .addContents(text)
              .setModel(modelPath)
              .build();

      TranslateTextResponse response = client.translateText(request);

      // Display the translation for each input text provided
      for (Translation translation : response.getTranslationsList()) {
        System.out.printf("Translated text: %s\n", translation.getTranslatedText());
      }
    }
  }
}

Node.js

Before trying this sample, follow the Node.js setup instructions in the Translation quickstart using client libraries. For more information, see the Translation Node.js API reference documentation.

View on GitHub Feedback

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'us-central1';
// const modelId = 'YOUR_MODEL_ID';
// const text = 'text to translate';

// Imports the Google Cloud Translation library
const {TranslationServiceClient} = require('@google-cloud/translate');

// Instantiates a client
const translationClient = new TranslationServiceClient();
async function translateTextWithModel() {
  // Construct request
  const request = {
    parent: `projects/${projectId}/locations/${location}`,
    contents: [text],
    mimeType: 'text/plain', // mime types: text/plain, text/html
    sourceLanguageCode: 'en',
    targetLanguageCode: 'ja',
    model: `projects/${projectId}/locations/${location}/models/${modelId}`,
  };

  // Run request
  const [response] = await translationClient.translateText(request);

  for (const translation of response.translations) {
    console.log(`Translated Content: ${translation.translatedText}`);
  }
}

translateTextWithModel();

Python

Before trying this sample, follow the Python setup instructions in the Translation quickstart using client libraries. For more information, see the Translation Python API reference documentation.

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from google.cloud import translate


def translate_text_with_model(
    text="YOUR_TEXT_TO_TRANSLATE",
    project_id="YOUR_PROJECT_ID",
    model_id="YOUR_MODEL_ID",
):
    """Translates a given text using Translation custom model."""

    client = translate.TranslationServiceClient()

    location = "us-central1"
    parent = f"projects/{project_id}/locations/{location}"
    model_path = f"{parent}/models/{model_id}"

    # Supported language codes: https://cloud.google.com/translate/docs/languages
    response = client.translate_text(
        request={
            "contents": [text],
            "target_language_code": "ja",
            "model": model_path,
            "source_language_code": "en",
            "parent": parent,
            "mime_type": "text/plain",  # mime types: text/plain, text/html
        }
    )
    # Display the translation for each input text provided
    for translation in response.translations:
        print("Translated text: {}".format(translation.translated_text))

Additional languages

C#: Please follow the C# setup instructions on the client libraries page and then visit the Translation reference documentation for .NET.

PHP: Please follow the PHP setup instructions on the client libraries page and then visit the Translation reference documentation for PHP.

Ruby: Please follow the Ruby setup instructions on the client libraries page and then visit the Translation reference documentation for Ruby.

Using the model parameter

REST & CMD LINE

You can specify which model to use for translation by using the model query parameter. For example, specify nmt to use the NMT model.

The following sample shows how to use the model parameter in a translate request.

Before using any of the request data, make the following replacements:

• PROJECT_NUMBER_OR_ID: your Google Cloud project number or ID

HTTP method and URL:

POST https://translation.googleapis.com/v3/projects/PROJECT_NUMBER_OR_ID/locations/global:translateText

Request JSON body:

{
  "model": "projects/PROJECT_NUMBER_OR_ID/locations/global/models/general/nmt",
  "sourceLanguageCode": "en",
  "targetLanguageCode": "de",
  "contents": ["Come here!"]
}

To send your request, choose one of these options:

curl

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

Save the request body in a file called request.json, and execute the following command:

curl -X POST \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://translation.googleapis.com/v3/projects/PROJECT_NUMBER_OR_ID/locations/global:translateText
"

PowerShell

Note: Ensure you have set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path for your service account private key file.

Save the request body in a file called request.json, and execute the following command:

$cred = gcloud auth application-default print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
  -Method POST `
  -Headers $headers `
  -ContentType: "application/json; charset=utf-8" `
  -InFile request.json `
  -Uri "https://translation.googleapis.com/v3/projects/PROJECT_NUMBER_OR_ID/locations/global:translateText
" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "translations": [
    {
      "translatedText": "Komm her!",
      "model": "projects/project-number/locations/global/models/general/nmt"
    }
  ]
}

Additional resources

• For help on resolving common issues or errors, see the Troubleshooting page.