open-translate
v1.4.3
Published
A package that generates the necessary token to use the Google Translate API for free
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google-translate-open-api
A free and unlimited API for Google Translate(support single text and Multi-segment text) 💵🚫
Feature
- Multi-segment text support
- Auto language detection
- Spelling correction
- Language correction
- Fast and reliable – it uses the same servers that translate.google.com uses
Install
npm install --save open-translate
Why this repo ?
when I have the following sentence. ( from How Are Function Components Different from Classes?)
Maybe you’ve heard one of them is better for performance. Which one? Many of such benchmarks are flawed so I’d be careful drawing conclusions from them.
I don't want to translate all the text first and I'd like to translate segment by segment. Especially in an article, the whole translation may not work well.
In the existing library, if I want to translate multi-segment text, I have to request multiple times.(like open-translate)
So I have to use the new api to implement, so the open-translate
is born.
Usage
Single segment
import translate from 'open-translate';
const result = await translate(`I'm fine.`, {
tld: "cn",
to: "zh-CN",
});
const data = result.data[0];
// 我很好。
Multi-segment text
import translate from 'open-translate';
const result = await translate([`I'm fine.`, `I'm ok.`], {
tld: "cn",
to: "zh-CN",
});
const data = result.data[0];
// [[[["我很好。"]],null,"en"],[[["我可以。"]],null,"en"]]
Note: Multi-segment text result is different from single sentence. You need extra attention.
Multi-segment text contains mylti-sentence.
import translate, { parseMultiple } from 'open-translate';
const result = await translate([`I'm fine. And you?`,`I'm ok.`], {
tld: "cn",
to: "zh-CN",
});
// [[[[["<i>I'm fine.</i> <b>我很好。</b> <i>And you?</i> <b>你呢?</b>"]],null,"en"],[[["我可以。"]],null,"en"]]]
// use parseMultiple
const data = result.data[0];
const parseData = parseMultiple(data);
// ["我很好。你呢?","我可以。"]
Proxy
proxy-config https://github.com/axios/axios#request-config
const result = await translate([`I'm fine. And you?`,`I'm ok.`], {
tld: "cn",
to: "zh-CN",
proxy: {
host: '127.0.0.1',
port: 9000,
auth: {
username: 'mikeymike',
password: 'rapunz3l'
}
}
});
Browers
const result = await translate([`I'm fine. And you?`,`I'm ok.`], {
tld: "cn",
to: "zh-CN",
browers: true
});
const data = result.data[0];
// 我很好。
For commonJS
const translate = require('open-translate').default;
API
translate(text, options)
text
Type: 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 src/languages.ts
to
Type: string
Default: en
The language in which the text should be translated. Must be one of the codes/names (not case sensitive) contained in src/languages.ts.
tld
Type: string
'com' | 'cn' <Default 'com'>
cn
is for China, com
for others.
proxy
Type: AxiosProxyConfig
proxy for request.
config
Type: object
config for axios
browers
Type: boolean
support browers via cors-anywhere (This is a public service, not necessarily stable)
browersUrl
Type: string
custom browers proxy url
format
Type: string
<text|html>
When use single translate, default use text
(but we can set it to html
) and use batch translate, default and only use html
.
Related
Inspiration
License
Apache License
Copyright (c) 2020