Microsoft Translator APIs can be seamlessly integrated into your applications, websites, tools, or other solutions to provide multi-language user experiences. Leveraging industry standards, it can be used on any hardware platform and with any operating system to perform language translation and other language-related operations such as text language detection or text to speech. Click Here for more information about the Microsoft Translator API.
Easily translate text between Arabic, Chinese (Simplified), Chinese (Traditional), Czech, English, French, German, Italian, Japanese, Portuguese, Russian, Spanish, and Turkish. Source Language is optional now. Target Language can use full language or 2-3 character code (NOT case-sensitive). Arabic (ar), Chinese -Simplified (zh), Chinese -Traditional (zht OR chinesetraditional), Czech (cs), English (en), French (fr), German (de), Italian (it), Japanese (ja), Portuguese (pt), Russian (ru), Spanish (es), Turkish (tr)
The spoken language identifier is a service that tries to determine the language spoken in an audio recording. The model currently supports 8 languages: English, Spanish, Italian, French, German, Portuguese, Dutch, and Russian. You can use it to classify recordings as short as 1 second and as long as a minute. Note that the longer the recording, the higher the accuracy of the prediction. For 20 second recordings the accuracy is about 95%, whereas for 5 second samples it is just over 80%. Supported audio formats: WAV, FLAC, OGG.
Linguakit API (formerly CilenisAPI) helps you to analyze and extract information from texts. Add language technology to your software in a few minutes using our cloud solution. We offer you technology based on years of research in Natural Language Processing in a very easy and scalable SaaS model trough a RESTful API.
SYSTRAN.io platform is a collection of APIs for Translation, Multilingual Dictionary lookups, Natural Language Processing (Entity recognition, Morphological analysis, Part of Speech tagging, Language Identification...) and Text Extraction (from documents, audio files or images).
One of the most popular translation APIs out there is the Google Translate API. The Google Translate API uses machine learning to decipher text and allows developers to easily integrate translation functionality into their website(s) or mobile app(s).
However, if you're looking for an alternative or replacement to the Google Translate API, take a look at this API collection.
Google's API is a powerful tool, but comes with a cost.
The Google Translate API is not free. Its pricing is based off monthly usage in terms of millions of characters.
It costs $20 per 1 million characters for translation or language detection.
Price is per character sent to the API for processing, including whitespace characters. Empty queries are charged for one character. Google charges on per character basis, even if the character is multiple bytes, where a character corresponds to a (code-point). For example, translating "こんにちは" to English counts as 5 characters for the purposes of billing.
Using the Google Translate API could become quite costly. If you are looking for a more affordable solution, consider some of these other translation APIs.
Some Google Translate API alternatives include:
|API||Popularity Score||Latency||Success Rate|
|MyMemory Translation API||8.7/10||541ms||100%||Connect to API|
|IBM Watson||5.5/10||170ms||100%||Connect to API|
|Yandex Translate||8.2/10||256ms||100%||Connect to API|
|Microsoft Text Translation||8.5/10||677ms||98%||Connect to API|
Unfortunately, the Yandex Translate API is not free. The API pricing is based on number of characters in the requests as seen here:
|Number of characters in the requests for calendar month||Rate (in US dollars per 1 million characters)|
|less 50 000 000||15|
|from 50 000 001 to 100 000 000||12|
|from 100 000 001 to 200 000 000||10|
|from 200 000 001 to 500 000 000||8|
|from 500 000 001 to 1 000 000 000||6|
While Google Translate is one of the quickest ways to translate and convert languages, it is still performed by a machine. Therefore, the translations are not perfect. To improve accuracy try supplementing Google Translate with any of the APIs in this collection or have some manual checkwork and audits.
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