The Speak Easy API is a powerful tool that enables automatic translation of text between multiple languages. This API is an essential solution for users who want to incorporate translation capabilities into their applications, websites and content management systems, facilitating global communication and accessibility of information in different languages.
The main functionality of the Speak Easy API is its ability to translate text in real time. By using this API, users can send translation requests to Google's servers, which process the text and return the translation in the desired language. The API supports a wide variety of languages, allowing users to translate between more than 100 different languages, including popular languages such as English, Spanish, French, German and Chinese, as well as less common languages.
One of the standout features of the Speak Easy API is its support for automatic language detection. This means that users do not need to specify the source language of the text they want to translate; the API can identify the input language automatically and perform the translation accordingly. This functionality is particularly useful in multilingual applications and in situations where the language of the text may not be known beforehand.
In addition to text translation, the Speak Easy API also offers advanced capabilities such as document translation and integration with speech services. The API can process and translate content in a variety of formats, making it easy to adapt written documents into different languages without the need for manual intervention. Integration with speech services allows developers to create applications that not only translate written text, but also transcripts and real-time translations of spoken conversations.
The Speak Easy API is based on advanced machine learning models and deep neural networks, which continuously improve the accuracy and quality of translations. Thanks to the vast amount of linguistic data it has collected and the machine translation algorithms it employs, the API delivers results that are increasingly accurate and contextually appropriate. Despite these advances, it is important to note that while the API provides high quality translations, human review is still valuable to ensure accuracy in specialized or technical contexts.
The Speak Easy API receives text in one language and provides translation in another language. It supports text format input and translated text output.
Multilingual Messaging Applications: Integrate the Speak Easy API into messaging applications to translate messages in real-time between users speaking different languages, facilitating global communication.
E-Commerce Websites: Use the API to translate product descriptions, reviews and website content into multiple languages, improving accessibility and user experience for an international audience.
Online Learning Platforms: Implement the API on educational platforms to translate course materials, exams and learning resources, allowing students from different regions to access content in their native language.
International Customer Support: Integrate the API into customer support systems to automatically translate customer inquiries and technical support responses, streamlining problem resolution and improving customer satisfaction.
Document Translation Applications: Use the API to translate documents in a variety of formats, such as reports, contracts and manuals, facilitating communication and collaboration on international projects.
Besides the number of API calls available for the plan, there are no other limitations.
To use this endpoint, send a text in the body of the request. It receives the text and returns the code of the detected language along with its name.
Language Codes (243 languages supported)
Language | Lanaguage Code |
---|---|
Ossetian | os |
English | en |
Basque | eu |
Ewe | ee |
Kiga | cgg |
Odia (Oriya) | or |
Kannada | kn |
Batak Toba | bbc |
Dyula | dyu |
Pangasinan | pag |
Korean | ko |
Awadhi | awa |
Polish | pl |
Somali | so |
Maori | mi |
Latin | la |
Hungarian | hu |
Greek | el |
Seychellois Creole | crs |
Sicilian | scn |
Susu | sus |
Turkish | tr |
Lingala | ln |
Meadow Mari | chm |
Finnish | fi |
Javanese | jw |
Pashto | ps |
Assamese | as |
Esperanto | eo |
Friulian | fur |
Japanese | ja |
Konkani | gom |
Santali | sat-Latn |
Dhivehi | dv |
Tetum | tet |
Tibetan | bo |
Luxembourgish | lb |
Chamorro | ch |
Spanish | es |
Welsh | cy |
Tuvan | tyv |
Sundanese | su |
Crimean Tatar | crh |
Kinyarwanda | rw |
Abkhaz | ab |
Bikol | bik |
Komi | kv |
Tamil | ta |
Venda | ve |
Portuguese (Portugal) | pt-PT |
Kyrgyz | ky |
Belarusian | be |
Mauritian Creole | mfe |
Balinese | ban |
Chuvash | cv |
Samoan | sm |
Makassar | mak |
Q始eqchi始 | kek |
Romanian | ro |
Mongolian | mn |
Dinka | din |
Baoul茅 | bci |
Breton | br |
Tajik | tg |
Ilocano | ilo |
Croatian | hr |
Shona | sn |
Galician | gl |
Punjabi (Shahmukhi) | pa-Arab |
Nepali | ne |
Oromo | om |
Corsican | co |
Cantonese | yue |
Chuukese | chk |
German | de |
Sango | sg |
Dombe | dov |
Sesotho | st |
Tigrinya | ti |
Nuer | nus |
Swati | ss |
Hindi | hi |
Alur | alz |
Ligurian | lij |
Slovenian | sl |
Krio | kri |
Bengali | bn |
Thai | th |
Batak Karo | btx |
Aymara | ay |
Buryat | bua |
Romani | rom |
Bambara | bm |
Batak Simalungun | bts |
Avar | av |
Russian | ru |
Sinhala | si |
Turkmen | tk |
Lithuanian | lt |
Bashkir | ba |
Mam | mam |
Rundi | rn |
Hakha Chin | cnh |
Hunsrik | hrx |
Silesian | szl |
Marshallese | mh |
Filipino | tl |
Dutch | nl |
Maithili | mai |
Sanskrit | sa |
Tok Pisin | tpi |
Kituba | ktu |
Igbo | ig |
Arabic | ar |
Luo | luo |
Georgian | ka |
Icelandic | is |
Kokborok | trp |
Udmurt | udm |
Iban | iba |
Bulgarian | bg |
Serbian | sr |
French | fr |
Betawi | bew |
Mizo | lus |
Chinese (Traditional) | zh-TW |
Urdu | ur |
Marwadi | mwr |
Telugu | te |
Myanmar (Burmese) | my |
Jingpo | kac |
Meiteilon (Manipuri) | mni-Mtei |
Nahuatl (Eastern Huasteca) | nhe |
Sindhi | sd |
Danish | da |
Swahili | sw |
Quechua | qu |
Yucatec Maya | yua |
Kanuri | kr |
Hiligaynon | hil |
Afrikaans | af |
Bemba | bem |
Frisian | fy |
Maltese | mt |
Hawaiian | haw |
Ndebele (South) | nr |
Lombard | lmo |
Estonian | et |
Malay | ms |
Swedish | sv |
Kurdish (Kurmanji) | ku |
Acehnese | ace |
Tsonga | ts |
Faroese | fo |
Kapampangan | pam |
Tulu | tcy |
Venetian | vec |
Shan | shn |
Khasi | kha |
Waray | war |
Manx | gv |
Zapotec | zap |
Sami (North) | se |
Malagasy | mg |
Irish | ga |
Italian | it |
Limburgish | li |
Chinese (Simplified) | zh-CN |
Occitan | oc |
Yoruba | yo |
Baluchi | bal |
Marathi | mr |
Tswana | tn |
Norwegian | no |
Uyghur | ug |
Khmer | km |
Ga | gaa |
Tahitian | ty |
Cebuano | ceb |
Macedonian | mk |
Persian | fa |
Jamaican Patois | jam |
Tongan | to |
Dzongkha | dz |
Vietnamese | vi |
Ndau | ndc-ZW |
Czech | cs |
Afar | aa |
Acholi | ach |
Hmong | hmn |
Ukrainian | uk |
Luganda | lg |
Chichewa | ny |
Nepalbhasa (Newari) | new |
Azerbaijani | az |
Portuguese (Brazil) | pt |
Yakut | sah |
Kazakh | kk |
Fon | fon |
Papiamento | pap |
Scots Gaelic | gd |
Dari | fa-AF |
Uzbek | uz |
Guarani | gn |
Madurese | mad |
Tamazight | ber-Latn |
Gujarati | gu |
Kalaallisut | kl |
Indonesian | id |
Latvian | lv |
Slovak | sk |
Twi | ak |
Zulu | zu |
Haitian Creole | ht |
Amharic | am |
Catalan | ca |
Malay (Jawi) | ms-Arab |
Tatar | tt |
Bhojpuri | bho |
Fulani | ff |
Chechen | ce |
Latgalian | ltg |
Yiddish | yi |
Fijian | fj |
Armenian | hy |
Hebrew | iw |
Hausa | ha |
Kikongo | kg |
Tamazight (Tifinagh) | ber |
Punjabi (Gurmukhi) | pa |
Minang | min |
Wolof | wo |
Malayalam | ml |
Bosnian | bs |
Tiv | tiv |
Lao | lo |
Xhosa | xh |
NKo | bm-Nkoo |
Dogri | doi |
Kurdish (Sorani) | ckb |
Sepedi | nso |
Tumbuka | tum |
Albanian | sq |
Translate Detect Language - Endpoint Features
Object | Description |
---|---|
input_text |
[Required] |
to_language |
[Required] |
{"translated_text":"C\u00f3mo est\u00e1s"}
curl --location --request GET 'https://zylalabs.com/api/4983/speak+easy+api/6287/translate+detect+language?input_text=how are you&to_language=es' --header 'Authorization: Bearer YOUR_API_KEY'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
Send a request to the endpoint with the text to be parsed. You will receive a response with the detected language and its ISO (International Organization for Standardization) code.
The Speak Easy API translates text between multiple languages and detects the input language, facilitating global communication and multilingual integration into applications.
There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.
Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.
The API returns detailed information about the age and history of a domain, including years, months and days since its creation, as well as expiration and update dates.
The Speak Easy API returns translated text along with the detected language code and its name. For example, a response might include the translated text in the target language and the ISO code of the detected source language.
The key fields in the response data include "translated_text," which contains the translated output, and "detected_language," which provides the ISO code and name of the detected source language.
The response data is structured in JSON format, typically containing fields like "translated_text" for the output and "detected_language" for the input language details, making it easy to parse and utilize in applications.
The main parameter for the Speak Easy API is the text input, which can be sent in the request body. The API automatically detects the source language, so users do not need to specify it.
Users can customize their requests by specifying the target language for translation in the API call. This allows for tailored translations based on user needs, enhancing the application's multilingual capabilities.
Typical use cases include real-time translation in messaging apps, translating e-commerce product descriptions, and providing multilingual support in customer service systems, enhancing global communication.
Data accuracy is maintained through advanced machine learning models and deep neural networks that continuously improve translation quality. However, human review is recommended for specialized contexts to ensure precision.
Each endpoint provides information on the detected language of the input text, including its ISO code and name, as well as the translated text in the desired target language, facilitating effective communication across languages.
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