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name azure-ai-translation-ts description Text and document translation with REST-style clients. type skill created 2026-02-27T00:00:00.000Z domain ai-ml category nlp risk unknown source community tags ["skill","ai-ml","nlp","azure","translation"]
Azure Translation SDKs for TypeScript
Text and document translation with REST-style clients.
Installation
npm install @azure-rest/ai-translation-text @azure/identity
npm install @azure-rest/ai-translation-document @azure/identity
Environment Variables
TRANSLATOR_ENDPOINT=https://api.cognitive.microsofttranslator.com
TRANSLATOR_SUBSCRIPTION_KEY=<your-api-key>
TRANSLATOR_REGION=<your-region>
Text Translation Client
Authentication
import TextTranslationClient , { TranslatorCredential } from "@azure-rest/ai-translation-text" ;
const credential : TranslatorCredential = {
key : process.env .TRANSLATOR_SUBSCRIPTION_KEY !,
region : process.env .TRANSLATOR_REGION !,
};
const client = TextTranslationClient (process.env .TRANSLATOR_ENDPOINT !, credential);
const client2 = TextTranslationClient (credential);
Translate Text
import TextTranslationClient , { isUnexpected } from "@azure-rest/ai-translation-text" ;
const response = await client.path ("/translate" ).post ({
body : {
inputs
text
"Hello, how are you?"
language
"en"
targets
language
"es"
language
"fr"
if
isUnexpected
throw
body
error
for
const
of
body
value
for
const
of
translations
console
log
`${translation.language} : ${translation.text} `
Translate with Options const response = await client.path ("/translate" ).post ({
body : {
inputs : [
{
text : "Hello world" ,
language : "en" ,
textType : "Plain" ,
targets : [
{
language : "de" ,
profanityAction : "NoAction" ,
tone : "formal" ,
},
],
},
],
},
});
Get Supported Languages const response = await client.path ("/languages" ).get ();
if (isUnexpected (response)) {
throw response.body .error ;
}
for (const [code, lang] of Object .entries (response.body .translation || {})) {
console .log (`${code} : ${lang.name} (${lang.nativeName} )` );
}
Transliterate const response = await client.path ("/transliterate" ).post ({
body : { inputs : [{ text : "这是个测试" }] },
queryParameters : {
language : "zh-Hans" ,
fromScript : "Hans" ,
toScript : "Latn" ,
},
});
if (!isUnexpected (response)) {
for (const t of response.body .value ) {
console .log (`${t.script} : ${t.text} ` );
}
}
Detect Language const response = await client.path ("/detect" ).post ({
body : { inputs : [{ text : "Bonjour le monde" }] },
});
if (!isUnexpected (response)) {
for (const result of response.body .value ) {
console .log (`Language: ${result.language} , Score: ${result.score} ` );
}
}
Document Translation Client
Authentication import DocumentTranslationClient from "@azure-rest/ai-translation-document" ;
import { DefaultAzureCredential } from "@azure/identity" ;
const endpoint = "https://<translator>.cognitiveservices.azure.com" ;
const client = DocumentTranslationClient (endpoint, new DefaultAzureCredential ());
const client2 = DocumentTranslationClient (endpoint, { key : "<api-key>" });
Single Document Translation import DocumentTranslationClient from "@azure-rest/ai-translation-document" ;
import { writeFile } from "node:fs/promises" ;
const response = await client.path ("/document:translate" ).post ({
queryParameters : {
targetLanguage : "es" ,
sourceLanguage : "en" ,
},
contentType : "multipart/form-data" ,
body : [
{
name : "document" ,
body : "Hello, this is a test document." ,
filename : "test.txt" ,
contentType : "text/plain" ,
},
],
}).asNodeStream ();
if (response.status === "200" ) {
await writeFile ("translated.txt" , response.body );
}
Batch Document Translation import { ContainerSASPermissions , BlobServiceClient } from "@azure/storage-blob" ;
const sourceSas = await sourceContainer.generateSasUrl ({
permissions : ContainerSASPermissions .parse ("rl" ),
expiresOn : new Date (Date .now () + 24 * 60 * 60 * 1000 ),
});
const targetSas = await targetContainer.generateSasUrl ({
permissions : ContainerSASPermissions .parse ("rwl" ),
expiresOn : new Date (Date .now () + 24 * 60 * 60 * 1000 ),
});
const response = await client.path ("/document/batches" ).post ({
body : {
inputs : [
{
source : { sourceUrl : sourceSas },
targets : [
{ targetUrl : targetSas, language : "fr" },
],
},
],
},
});
const operationId = new URL (response.headers ["operation-location" ])
.pathname .split ("/" ).pop ();
Get Translation Status import { isUnexpected, paginate } from "@azure-rest/ai-translation-document" ;
const statusResponse = await client.path ("/document/batches/{id}" , operationId).get ();
if (!isUnexpected (statusResponse)) {
const status = statusResponse.body ;
console .log (`Status: ${status.status} ` );
console .log (`Total: ${status.summary.total} ` );
console .log (`Success: ${status.summary.success} ` );
}
const docsResponse = await client.path ("/document/batches/{id}/documents" , operationId).get ();
const documents = paginate (client, docsResponse);
for await (const doc of documents) {
console .log (`${doc.id} : ${doc.status} ` );
}
Get Supported Formats const response = await client.path ("/document/formats" ).get ();
if (!isUnexpected (response)) {
for (const format of response.body .value ) {
console .log (`${format.format} : ${format.fileExtensions.join(", " )} ` );
}
}
Key Types
import type {
TranslatorCredential ,
TranslatorTokenCredential ,
} from "@azure-rest/ai-translation-text" ;
import type {
DocumentTranslateParameters ,
StartTranslationDetails ,
TranslationStatus ,
} from "@azure-rest/ai-translation-document" ;
Best Practices
Auto-detect source - Omit language parameter to auto-detectBatch requests - Translate multiple texts in one call for efficiencyUse SAS tokens - For document translation, use time-limited SAS URLsHandle errors - Always check isUnexpected(response) before accessing bodyRegional endpoints - Use regional endpoints for lower latency
When to Use This skill is applicable to execute the workflow or actions described in the overview.
Connections
Domain: [[KI & Machine Learning]]Kategorie: [[Sprachverarbeitung (NLP)]]Navigation: [[Skills Uebersicht]], [[Home]] 