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Languages

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Language handling is built into every capability. All language parameters take ISO 639-1 codes (for example en, ar, ko).

Send CVs in any language

Parsing and evaluation read the document as written (Arabic, Korean, Japanese, Hindi, French, Portuguese, Russian and the rest) with no pre-processing on your side.

Nothing is silently rewritten

Parsed values come back in the CV's own language and script, so a name or an employer is never transliterated into something the candidate would not recognise.

Choose the output language

These operations accept a language parameter for the prose they write:

OperationParameterDefault
POST /evaluate/language: language of the candidate-facing analysisEnglish
POST /jobs/language: default language for candidate-facing prose
POST /summary/language: language to render the summary inEnglish
POST /prompt/language: language to render the résumé inKeeps the source language

So an Arabic CV can be assessed in English, or an English CV rendered in Korean. On POST /transcribe/, language is an optional hint for the recording's language.

For the résumé assistant, set language to get a translated résumé. That, rather than asking for a translation in prompt_text, is how translation is requested.

Translate

POST /translate/ supports 85 ISO 639-1 language codes. A source_language or target_language outside that set is refused with 422.

Detect language

POST /detect-language/ returns the language a text is written in, so you can branch a workflow (assign the right recruiter, pick the right template) before any human reads the document. It runs offline first, and falls back to a model for texts too short or too mixed to call confidently. That fallback can return any two-letter code, so a detected language is not always one that /translate/ accepts.

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