Fourteen languages, out of one audio

Somebody speaks once and the room hears it in fourteen languages. Not fourteen passes over the recording — one listen, and every language comes out of it.

Arabicar
Germande
Englishen
Spanishes
Frenchfr
Italianit
Japaneseja
Koreanko
Dutchnl
Polishpl
Portuguesept
Russianru
Ukrainianuk
Chinesezh

Why the fourteenth costs less than the first

The expensive part is understanding what was said, and that happens once. Translating that understanding into another language is cheap by comparison. So the first language is a whole minute of credit and each one after it is 0.35 of one.

LanguagesWhat it costs
1 language×1 what one language costs
3 languages×1.7 what one language costs
5 languages×2.4 what one language costs
14 languages×5.55 what one language costs

Charged on speech, not on how long the file is. An hour of recording with twenty minutes of talking pays for twenty minutes, whether it goes out in one language or fourteen.

Male or female, per language

Each target language is set to a male or a female voice, and it is a setting on the room rather than a decision we make for you. Change it and the next connection uses it.

Speed, per language

Some languages take longer to say the same thing and their audio piles up behind the speaker. Raising the speed of that one language brings it back in line, and it is set on that language alone.

Any of them can be the one spoken

The fourteen work as the language spoken in the room and as a language it is heard in. A Ukrainian speaker heard in Spanish is the same job as the other way round.

The site is in thirteen — that is a different list

You are reading this in one of thirteen languages, which is how many the website is written in. What the engine translates is these fourteen. We keep the two apart on purpose: promising a language we cannot speak is the worst thing a page like this can do.

See the packs and what a minute costs →

The one you need is not here

Tell us which, and what you would use it for. Adding a language is not a switch — it needs a voice that sounds like a person and enough testing to trust it — but knowing somebody is waiting for one is what puts it in the queue.