The Text Language Recognition API is designed to automatically recognize and determine the language used in a given text or character string. Using sophisticated algorithms and linguistic analysis, this API integrates seamlessly into a variety of applications and systems, providing accurate and reliable language detection capabilities.
Essentially, the Text Language Recognition API works by analyzing the structural and grammatical patterns inherent in the input text. Using statistical models and machine learning techniques, the API distinguishes the unique features associated with different languages, enabling informed predictions about the language used in the text.
A significant advantage of the Text Language Recognition API is its ability to accurately identify a wide range of languages from around the world. Whether the text is written in commonly used languages, such as English or Spanish, or in less widely used languages, such as Catalan or Bosnian, the API can recognize and classify the language with high accuracy.
In addition, the Text Language Recognition API is capable of processing text input of varying lengths, from short sentences to long paragraphs. This flexibility allows users to integrate the language detection feature into a wide range of applications, from basic text analysis tools to complex natural language processing systems.
Designed to be scalable, the API can handle large volumes of text input efficiently and with minimal latency. This scalability makes it ideal for deployment in environments that require fast language detection, such as real-time chat applications, social media monitoring platforms or extensive content moderation systems.
In essence, the Text Language Recognition API provides automated text language identification, offering extensive language support and high accuracy. It is suitable for a wide range of applications in a variety of industries, as it allows language detection functionality to be seamlessly integrated into applications and systems.
It will receive parameters and provide you with a JSON.
Basic Plan: 10 requests per second.
Pro Plan: 10 requests per second.
Pro Plus Plan: 10 requests per second.
Premium Plan: 10 requests per second.
Elite Plan: 20 requests per second.
Premiun Plan: 20 requests per second.
To use this endpoint you just have to run it and you will get the languages available to detect.
[{"name":"Afrikaans","code":"af","accuracy":0.7879901960784313,"datapoints":1632},{"name":"Amharic","code":"am","accuracy":1,"datapoints":3},{"name":"Aragonese","code":"an","accuracy":0.5,"datapoints":4},{"name":"Arabic","code":"ar","accuracy":0.9978312977970552,"datapoints":8761},{"name":"Assamese","code":"as","accuracy":0.8635416666666667,"datapoints":960},{"name":"Bashkir","code":"ba","accuracy":0.95,"datapoints":120},{"name":"Belarusian","code":"be","accuracy":0.9625779625779626,"datapoints":6253},{"name":"Bulgarian","code":"bg","accuracy":0.9869885139985642,"datapoints":11144},{"name":"Bengali","code":"bn","accuracy":1,"datapoints":1164},{"name":"Tibetan Standard","code":"bo","accuracy":1,"datapoints":20},{"name":"Breton","code":"br","accuracy":0.9543043655650755,"datapoints":2451},{"name":"Bosnian","code":"bs","accuracy":0.03597122302158273,"datapoints":139},{"name":"Catalan","code":"ca","accuracy":0.8833862433862434,"datapoints":4725},{"name":"Chechen","code":"ce","accuracy":0.7142857142857143,"datapoints":7},{"name":"Corsican","code":"co","accuracy":0.2,"datapoints":5},{"name":"Czech","code":"cs","accuracy":0.9898738838258307,"datapoints":10863},{"name":"Chuvash","code":"cv","accuracy":0.9543478260869566,"datapoints":460},{"name":"Welsh","code":"cy","accuracy":0.8917609046849758,"datapoints":619},{"name":"Danish","code":"da","accuracy":0.948035819334597,"datapoints":15299},{"name":"German","code":"de","accuracy":0.9998637230853094,"datapoints":22014},{"name":"Divehi","code":"dv","accuracy":1,"datapoints":15},{"name":"Greek","code":"el","accuracy":1,"datapoints":12039},{"name":"English","code":"en","accuracy":1,"datapoints":22428},{"name":"Esperanto","code":"eo","accuracy":0.999551594641556,"datapoints":17841},{"name":"Spanish","code":"es","accuracy":0.998134635430954,"datapoints":18227},{"name":"Estonian","code":"et","accuracy":0.9356153219233904,"datapoints":1227},{"name":"Basque","code":"eu","accuracy":0.9676558852950984,"datapoints":2999},{"name":"Finnish","code":"fi","accuracy":0.9990807767436516,"datapoints":17406},{"name":"French","code":"fr","accuracy":0.999523314265904,"datapoints":23076},{"name":"Western Frisian","code":"fy","accuracy":0.6635514018691588,"datapoints":107},{"name":"Irish","code":"ga","accuracy":0.9065743944636678,"datapoints":867},{"name":"Gaelic","code":"gd","accuracy":0.8966789667896679,"datapoints":542},{"name":"Galician","code":"gl","accuracy":0.5790679908326967,"datapoints":2618},{"name":"Gujarati","code":"gu","accuracy":1,"datapoints":57},{"name":"Manx","code":"gv","accuracy":0,"datapoints":6},{"name":"Hebrew","code":"he","accuracy":1,"datapoints":8616},{"name":"Hindi","code":"hi","accuracy":0.999627004848937,"datapoints":5362},{"name":"Croatian","code":"hr","accuracy":0.5333033303330333,"datapoints":2222},{"name":"Haitian","code":"ht","accuracy":0.06666666666666667,"datapoints":15},{"name":"Hungarian","code":"hu","accuracy":0.9996655891204994,"datapoints":17942},{"name":"Armenian","code":"hy","accuracy":0.9980694980694981,"datapoints":518},{"name":"Interlingua","code":"ia","accuracy":0.7500798636992866,"datapoints":18782},{"name":"Indonesian","code":"id","accuracy":0.949637217242851,"datapoints":9372},{"name":"Interlingue","code":"ie","accuracy":0.4718485301444943,"datapoints":2007},{"name":"Ido","code":"io","accuracy":0.48055077452667816,"datapoints":2905},{"name":"Icelandic","code":"is","accuracy":0.9803582652419862,"datapoints":6364},{"name":"Italian","code":"it","accuracy":0.9989632216522972,"datapoints":18326},{"name":"Japanese","code":"ja","accuracy":1,"datapoints":2169},{"name":"Javanese","code":"jv","accuracy":0.6461538461538462,"datapoints":260},{"name":"Georgian","code":"ka","accuracy":1,"datapoints":1973},{"name":"Kazakh","code":"kk","accuracy":0.9802867383512545,"datapoints":2232},{"name":"Khmer","code":"km","accuracy":0.9920844327176781,"datapoints":379},{"name":"Kannada","code":"kn","accuracy":1,"datapoints":118},{"name":"Korean","code":"ko","accuracy":1,"datapoints":482},{"name":"Cornish","code":"kw","accuracy":0.8779342723004695,"datapoints":426},{"name":"Kyrgyz","code":"ky","accuracy":0.8787878787878788,"datapoints":66},{"name":"Latin","code":"la","accuracy":0.9206085511934948,"datapoints":11437},{"name":"Luxembourgish","code":"lb","accuracy":0.5944700460829493,"datapoints":217},{"name":"Limburgish","code":"li","accuracy":0.3333333333333333,"datapoints":3},{"name":"Lao","code":"lo","accuracy":1,"datapoints":70},{"name":"Lithuanian","code":"lt","accuracy":0.9933501987712324,"datapoints":13835},{"name":"Latvian","code":"lv","accuracy":0.9597747385358005,"datapoints":1243},{"name":"Macedonian","code":"mk","accuracy":0.9959903214656066,"datapoints":14465},{"name":"Malayalam","code":"ml","accuracy":1,"datapoints":517},{"name":"Marathi","code":"mr","accuracy":0.9995220342223496,"datapoints":10461},{"name":"Maltese","code":"mt","accuracy":0.8076923076923077,"datapoints":52},{"name":"Burmese","code":"my","accuracy":1,"datapoints":216},{"name":"Dutch","code":"nl","accuracy":0.9934780393355752,"datapoints":19626},{"name":"Norwegian Nynorsk","code":"nn","accuracy":0.7990867579908676,"datapoints":657},{"name":"Occitan","code":"oc","accuracy":0.7679133170220203,"datapoints":2861},{"name":"Ossetian","code":"os","accuracy":0.9830508474576272,"datapoints":59},{"name":"Panjabi","code":"pa","accuracy":1,"datapoints":88},{"name":"Polish","code":"pl","accuracy":0.999718595227375,"datapoints":17768},{"name":"Portuguese","code":"pt","accuracy":0.9933082184990581,"datapoints":20174},{"name":"Romansh","code":"rm","accuracy":0.0625,"datapoints":16},{"name":"Romanian","code":"ro","accuracy":0.9886430678466077,"datapoints":13560},{"name":"Russian","code":"ru","accuracy":0.9997114663281205,"datapoints":17329},{"name":"Sanskrit","code":"sa","accuracy":0.7272727272727273,"datapoints":11},{"name":"Sinhala","code":"si","accuracy":1,"datapoints":9},{"name":"Slovak","code":"sk","accuracy":0.8263157894736842,"datapoints":4370},{"name":"Slovene","code":"sl","accuracy":0.6774193548387096,"datapoints":372},{"name":"Somali","code":"so","accuracy":0.21875,"datapoints":32},{"name":"Serbian","code":"sr","accuracy":0.8489699125537276,"datapoints":13494},{"name":"Sundanese","code":"su","accuracy":0.18181818181818182,"datapoints":11},{"name":"Swedish","code":"sv","accuracy":0.9886773875943551,"datapoints":12188},{"name":"Tamil","code":"ta","accuracy":1,"datapoints":205},{"name":"Telugu","code":"te","accuracy":1,"datapoints":102},{"name":"Tajik","code":"tg","accuracy":0.9666666666666667,"datapoints":30},{"name":"Thai","code":"th","accuracy":1,"datapoints":572},{"name":"Turkmen","code":"tk","accuracy":0.5710519377801213,"datapoints":3793},{"name":"Tagalog","code":"tl","accuracy":0.9737223456670853,"datapoints":10351},{"name":"Turkish","code":"tr","accuracy":0.9995983734123199,"datapoints":19919},{"name":"Tatar","code":"tt","accuracy":0.9680851063829787,"datapoints":8178},{"name":"Uyghur","code":"ug","accuracy":0.9991874322860238,"datapoints":3692},{"name":"Ukrainian","code":"uk","accuracy":0.9963598179908996,"datapoints":14285},{"name":"Urdu","code":"ur","accuracy":0.9906542056074766,"datapoints":963},{"name":"Vietnamese","code":"vi","accuracy":0.9996153846153846,"datapoints":13000},{"name":"Volapük","code":"vo","accuracy":0.8511166253101737,"datapoints":806},{"name":"Walloon","code":"wa","accuracy":0.3125,"datapoints":16},{"name":"Yoruba","code":"yo","accuracy":0.6,"datapoints":5},{"name":"Chinese","code":"zh","accuracy":1,"datapoints":568},{"name":"Yiddish","code":"yi"},{"name":"Uzbek","code":"uz"},{"name":"Swahili","code":"sw"},{"name":"Albanian","code":"sq"},{"name":"Sindhi","code":"sd"},{"name":"Sardinian","code":"sc"},{"name":"Quechua","code":"qu"},{"name":"Pashto","code":"ps"},{"name":"Oriya","code":"or"},{"name":"Norwegian","code":"no"},{"name":"Nepali","code":"ne"},{"name":"Malay","code":"ms"},{"name":"Mongolian","code":"mn"},{"name":"Malagasy","code":"mg"},{"name":"Komi","code":"kv"},{"name":"Kurdish","code":"ku"},{"name":"Guaraní","code":"gn"},{"name":"Persian","code":"fa"},{"name":"Bihari","code":"bh"},{"name":"Azerbaijani","code":"az"},{"name":"Avaric","code":"av"},{"code":"als"},{"code":"arz"},{"code":"ast"},{"code":"azb"},{"code":"bar"},{"code":"bcl"},{"code":"bpy"},{"code":"bxr"},{"code":"cbk"},{"code":"ceb"},{"code":"ckb"},{"code":"diq"},{"code":"dsb"},{"code":"dty"},{"code":"eml"},{"code":"frr"},{"code":"gom"},{"code":"hif"},{"code":"hsb"},{"code":"ilo"},{"code":"jbo"},{"code":"krc"},{"code":"lez"},{"code":"lmo"},{"code":"lrc"},{"code":"mai"},{"code":"mhr"},{"code":"min"},{"code":"mrj"},{"code":"mwl"},{"code":"myv"},{"code":"mzn"},{"code":"nah"},{"code":"nap"},{"code":"nds"},{"code":"new"},{"code":"pam"},{"code":"pfl"},{"code":"pms"},{"code":"pnb"},{"code":"rue"},{"code":"sah"},{"code":"scn"},{"code":"sco"},{"code":"sh"},{"code":"tyv"},{"code":"vec"},{"code":"vep"},{"code":"vls"},{"code":"war"},{"code":"wuu"},{"code":"xal"},{"code":"xmf"},{"code":"yue"}]
curl --location --request GET 'https://zylalabs.com/api/4483/text+language+recognition+api/5502/languages+available' --header 'Authorization: Bearer YOUR_API_KEY'
To use this endpoint you must indicate a text and if you want to obtain a prediction about the detected language (true or false).
Language detection - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
{"lang":"en","prob":0.9854544401168823,"confidence":0.983413940295577,"isReliable":true,"highAccuracyLanguage":true,"predictions":[{"lang":"en","prob":0.9854544401168823},{"lang":"de","prob":0.002040499821305275},{"lang":"th","prob":0.0009048391366377473},{"lang":"bn","prob":0.00088596431305632},{"lang":"nl","prob":0.0008361274376511574}]}
curl --location --request POST 'https://zylalabs.com/api/4483/text+language+recognition+api/5503/language+detection' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "This is my house",
"includePredictions": false
}'
| 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.
To use this API, users must indicate a text to identify the language.
The Text Language Recognition API designed to automatically identify and classify the language of a given text or character string.
There are different plans to suit all tastes, including a free trial for a small number of requests, but your rate is limited to avoid 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.
A Text Language Recognition API is crucial, as it facilitates automatic language detection for users, simplifying the process of identifying the language in which a given text is written.
The "GET Languages available" endpoint returns a JSON array of languages, including their names, codes, accuracy rates, and data points. The "POST Language detection" endpoint returns a JSON object with the detected language, probability, confidence level, reliability, and a list of predictions with their respective probabilities.
Key fields in the "GET Languages available" response include "name," "code," "accuracy," and "datapoints." In the "POST Language detection" response, important fields are "lang," "prob," "confidence," "isReliable," and "predictions."
The response data is structured in JSON format. The "GET Languages available" endpoint returns an array of language objects, while the "POST Language detection" endpoint returns a single object containing language detection results and an array of predictions.
The "POST Language detection" endpoint requires a "text" parameter for the input text and an optional "true/false" parameter to indicate if a prediction is needed. The "GET Languages available" endpoint does not require any parameters.
Users can utilize the returned data by analyzing the "lang" and "prob" fields from the "POST Language detection" response to determine the most likely language and its confidence level. The "GET Languages available" response can be used to understand which languages are supported and their detection accuracy.
Typical use cases include social media monitoring for sentiment analysis, customer service for routing messages, multilingual website content delivery, text translation services, and content moderation to filter user comments based on language.
Data accuracy is maintained through sophisticated algorithms and machine learning techniques that analyze structural and grammatical patterns in text. The API's accuracy rates for each language are also provided in the "GET Languages available" response.
Users can expect standard data patterns such as high probabilities for the detected language in the "POST Language detection" response, typically above 0.8 for reliable predictions. The "GET Languages available" response will show a diverse range of languages with varying accuracy levels.
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