google-translate-api-next
v0.1.0
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A free and unlimited API for Google Translate
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google-translate-api-next
A free and unlimited API for Google Translate :dollar: :no_entry_sign: written with compatibility in mind, made to be crossplatform.
Features
- Up-to-Date with all new Google Translate supported languages!
- Auto language detection
- Spelling correction
- Language correction
- Fast and reliable – it uses the same servers that translate.google.com uses
- Wide compatibility through supporting Fetch, Axios, and custom request functions
- Array or Object input to limit API requests from 2n to n + 1
- Multi translated languages
- Memo translated items in memory to make better performance
Why this fork?
This fork of the fork vitalets/google-translate-api contains several improvements with the primary change being it is written to support various request methods instead of Got, allowing for greater compatibility outside of Node.js. It also abandons the outdated querystring
. Additionally, new languages are more frequently added, and if a new language is not yet in the languages.js list you can now bypass it with the forceFrom
and forceTo
options.
Install
npm install google-translate-api-next
Usage
From automatic language detection to English:
const translate = require("google-translate-api-next");
// Or of course
import translate from "google-translate-api-next";
const res = await translate("Ik spreek Engels", { to: "en" });
console.log(res.text); //=> I speak English
console.log(res.from.language.iso); //=> nl
If server returns Response code 403 (Forbidden) try set option client=gtx
:
const res = await translate('Ik spreek Engels', { to: 'en', client: 'gtx' }).then(res => { ... });
Please note that maximum text length for single translation call is 5000 characters. In case of longer text you should split it on chunks, see #20.
Autocorrect
From English to Dutch with a typo (autoCorrect):
const res = await translate("I spea Dutch!", {
from: "en",
to: "nl",
autoCorrect: true,
});
console.log(res.from.text.didYouMean); // => true
console.log(res.from.text.value); // => 'I [speak] Dutch!'
const correctedText = res.from.text.value.replace(/\[([a-z]+)\]/gi, "$1"); // => 'I speak Dutch!'
const finalRes = await translate(correctedText, { from: "en", to: "nl" });
console.log(finalRes.text); // => 'Ik spreek Nederlands!'
You can also add languages in the code and use them in the translation:
translate = require('google-translate-api-next');
translate.languages['sr-Latn'] = 'Serbian Latin';
translate('translator', {to: 'sr-Latn'}).then(res => ...);
Array and Object inputs
An array or object of inputs can be used to slightly lower the number of individual API calls:
const inputArray = [
"I speak Dutch!",
"Dutch is fun!",
"And so is translating!",
];
const res = await translate(inputArray, { from: "en", to: "nl" });
console.log(res[0].text); // => 'Ik spreek Nederlands!'
console.log(res[1].text); // => 'Nederlands is leuk!'
console.log(res[2].text); // => 'En zo ook vertalen!'
and similarly with an object:
const inputObject = {
name: "Aidan Welch",
fact: "I'm maintaining this project",
birthMonth: "February",
};
const res = await translate(inputObject, { from: "en", to: "ja" });
console.log(res.name.text); // => 'エイダンウェルチ'
console.log(res.fact.text); // => '私はこのプロジェクトを維持しています'
console.log(res.birthMonth.text); // => '2月'
multi translated targets:
const inputObject = {
name: "你好, 世界",
fact: "我要维护这个工具",
};
const targets = ["ja", "en", "ko"];
const list = await translate(inputObject, {
from: "zh-CN",
to: targets,
forceTo: true,
});
const res = await Promise.all(list);
console.log(res[0].name.text); // => 'こんにちは世界'
console.log(res[1].name.text); // => 'Hello World'
console.log(res[2].fact.text); // => '이 도구를 유지하고 싶습니다'
If you use auto
each input can even be in a different language!
Using languages not supported in languages.js yet
If you know the ISO code used by Google Translate for a language and know it is supported but this API doesn't support it yet you can force it like so:
const res = await translate("Hello!", { from: "en", to: "as", forceTo: true });
console.log(res.text); // => 'নমস্কাৰ!'
forceFrom
can be used in the same way.
Proxy
Google Translate has request limits. If too many requests are made, you can either end up with a 429 or a 503 error.
You can use proxy to bypass them, however the default requestFunction
of fetch
does not support it:
const tunnel = require("tunnel");
translate(
"Ik spreek Engels",
{ to: "en" },
{
agent: tunnel.httpsOverHttp({
proxy: {
host: "whateverhost",
proxyAuth: "user:pass",
port: "8080",
headers: {
"User-Agent": "Node",
},
},
}),
}
).then((res) => {
// do something
});
Does it work from web page context?
It can, sort of. https://translate.google.com
does not provide CORS http headers allowing access from other domains. However, this fork is written using Fetch and/or Axios, allowing contexts that don't request CORS access, such as a browser extension background script or React Native.
API
translate(text, [options], [requestOptions])
input
Type: string
| string[]
| {[key]: string}
The text to be translated.
options
Type: object
from
Type: string
Default: auto
The text
language. Must be auto
or one of the codes/names (not case sensitive) contained in languages.js.
to
Type: string
Default: en
The language in which the text should be translated. Must be one of the codes/names (case sensitive!) contained in languages.js.
forceFrom
Type: boolean
Default: false
Forces the translate function to use the from
option as the iso code, without checking the languages list.
forceTo
Type: boolean
Default: false
Forces the translate function to use the to
option as the iso code, without checking the languages list.
raw
Type: boolean
Default: false
If true
, the returned object will have a raw
property with the raw response (string
) from Google Translate.
requestFunction
Type: string|function
Default: fetch|axios
String inputs supported: "fetch"
and "axios"
for Fetch API and Axios respectively.
Function inputs should takes (url, requestOptions, ?data)
and return the body of the request as a string.
Defaults to using fetch if available, axios if not. And if neither are available and requestFunction is not defined as a function will error.
client
Type: string
Default: "t"
Query parameter client
used in API calls. Can be t|gtx
.
tld
Type: string
Default: "com"
TLD for Google translate host to be used in API calls: https://translate.google.{tld}
.
refresh
Type: boolean
Default: false
Use memorized translated text in memory to make better performance.
requestOptions
Type: object
The options used by the requestFunction. The fetchinit and axiosconfig are the default used. requestOptions.headers is automatically converted to the Header
class for fetchinit.
Returns an object
| object[]
| {[key]: object}
}:
Matches the structure of the input, so returns just the individual object if just a string is input, an array if an array is input, object with the same keys if an object is input. Regardless of that, each returned value will have this schema:
text
(string) – The translated text.from
(object)language
(object)didYouMean
(boolean) -true
if the API suggest a correction in the source languageiso
(string) - The code of the language that the API has recognized in thetext
text
(object)autoCorrected
(boolean) –true
if the API has auto corrected thetext
value
(string) – The auto correctedtext
or thetext
with suggested correctionsdidYouMean
(boolean) –true
if the API has suggested corrections to thetext
raw
(string) - Ifoptions.raw
is true, the raw response from Google Translate servers. Otherwise,''
.
Note that res.from.text
will only be returned if from.text.autoCorrected
or from.text.didYouMean
equals to true
. In this case, it will have the corrections delimited with brackets ([ ]
):
translate("I spea Dutch")
.then((res) => {
console.log(res.from.text.value);
//=> I [speak] Dutch
})
.catch((err) => {
console.error(err);
});
Otherwise, it will be an empty string
(''
).
Related projects
- Translateer - uses Puppeteer to access Google Translate API.
- google-translate-api-languages-script - a simple script used to scrape languages for this project.
License
MIT © Matheus Fernandes, forked and maintained by Aidan Welch.