One file changed the way we build. A user uploaded a recording, our system processed it, and the job was marked complete. The transcript, however, contained almost nothing.
That single incident became one of the most valuable lessons for our AI transcription product at Trustample because it exposed a truth about AI systems that conventional software does not prepare you for. It is also the reason the platform today verifies its own output before any user sees it. This is the story of how that safeguard came to exist.
Trustample turns audio and video recordings into editable text. It supports sixteen languages, and when a user does not specify which language a recording contains, the system attempts to identify it automatically. That feature is where the story begins.
What actually happened
When a language is not specified, the speech recognition model makes an informed guess. Most of the time, the guess is correct, sometimes it is not, and sometimes a recording of Spanish speech is processed as though it were English.
