Multilingual Translation

Translates text between 28 languages, one text or a batch; every tested pair scores above 0.80 BERTScore.

POST/v1/text/translate

+1 endpoints

Try it

• Price1 ICper 400 characters
• Served4.1Mcalls

• v1.0
• Active

Input

text

Hello

source_lang

en

target_lang

th

OutputPOST /v1/text/translate

translation

สวัสดี

processing_time

0.056

Every field, under ResponseOther endpoints: /batch_translate see Request

Request

curl -X POST "https://api.iapp.co.th/v1/text/translate" \
  -H "apikey: YOUR_API_KEY" \
  -F "text=Hello" \
  -F "source_lang=en" \
  -F "target_lang=th"

Response

200OK. The fields are explained under Response.

{
    "translation": "สวัสดี",
    "processing_time": 0.056
}

Request

Form fields for one text, JSON for a batch. 1 IC per 400 characters.

Headers

apikeystringrequired

Your API key, created under API Keys in the control panel.

Body

textstringrequired

The text to translate.

source_langstringrequired

The source, as a code: ar, bn, cs, de, en, es, fa, fr, he, hi, id, it, ja, km, ko, lo, ms, my, nl, pl, pt, ru, th, tl, tr, ur, vi or zh.

target_langstringrequired

The target, one of the same codes.

max_lengthinteger

The most output tokens.

Endpoint	Body
/v1/text/translate	The fields above
/v1/text/batch_translate	An array of {text, source_lang, target_lang}

/v3/store/nlp/multilingual-translation and …/batch_translate are the same endpoints under the store prefix.

Response

One text: translation and processing_time, as in the panel. A batch: results[], each with translation and the index of its input.

One text: translation and processing_time, as in the panel. A batch: results[], each with translation and the index of its input.

Details

Measured

BERTScore is the semantic similarity between a translation and its reference, 1.0 a perfect match.

Pair	BERTScore
English to Burmese	0.9561
English to Thai	0.9506
English to Japanese	0.9169
Japanese to English	0.9146
Thai to English	0.8728
Thai to Burmese	0.8571
Chinese to English	0.8571

Time per 100 sentences, Thai to English, on 133,330 sentence pairs from the SCB MT EN-TH 2020 dataset: 18.06 s in a batch, 30.54 s one at a time.

Limits

• Only the languages listed under source_lang.
• No limit on input length: long texts are split at sentence boundaries.
• For volume, use the batch endpoint: 40% less time per sentence.

Data handling

Text is processed in memory and not kept after the response. The service is GDPR and PDPA compliant.