Speechara.AI now detects meeting languages automatically

A language selector looks simple until a conversation stops using just one language.

People can begin a meeting in one language, switch when someone joins, and switch back a few minutes later. It is not every meeting, but it happens often enough that asking people to choose one fixed language can interrupt the conversation.

We expanded Speechara.AI in two ways.

First, automatic language detection can identify the language being spoken without requiring the user to choose it before every meeting.

Second, multilingual meeting mode allows a conversation to move between supported languages while transcription and translation continue across those changes.

Speechara.AI now supports more than 75 languages and regional variants. Translation works between supported language pairs, so English does not always have to be the source or destination language.

The difficult product question is control. Automatic detection is convenient in a dynamic conversation. A fixed language can be more predictable when people use technical terms, names, or frequent code-switching.

When you use transcription or translation in a multilingual meeting, would you prefer automatic detection, a fixed language, or a quick manual switch? What is the most frustrating failure when a tool guesses incorrectly?