AI Translate text API

About AI Translate text API

Text Translation is an asynchronous text-translation API published by SharpAPI on ApyHub. A client submits content via a POST request, optionally including context to disambiguate terms, a language parameter specifying the source language, and a voice_tone parameter to steer style (for example, funny, joyous, or a named authorial voice). The submit call returns a job_id immediately rather than blocking until translation completes.

Job status is retrieved by polling a GET endpoint with the job_id, which reports one of four states: queued, running, success, or failed. Once a job succeeds, the response includes the translated content along with from_language and to_language fields identifying the source and target languages. The API documentation recommends polling at most once per second, as faster polling counts against rate limits without speeding up job completion.

The product is intended for use in content pipelines, multilingual support workflows, or batch translation jobs where non-blocking, asynchronous processing is needed. The current version is 1.0.0, with two endpoints (submit and status check) covering POST and GET methods.

Key features

• Asynchronous text translation via submit-then-poll job pattern
• Optional context parameter to disambiguate terms during translation
• Optional voice_tone parameter to steer style (e.g. funny, joyous, or a named author's voice)
• Optional language parameter to specify source content language
• Job status polling with queued/running/success/failed states
• Returns translated content with from_language and to_language metadata

Frequently asked questions