What breaks when a transcription system meets a language it was not tuned for

A language appearing on a coverage list means the system has been trained to handle it. It does not mean the system handles the version of it your recordings contain.

That gap is where most disappointment lives, and it is predictable enough to plan around.

Dialect is not a detail

Many widely spoken languages are, in practice, families. A system trained predominantly on one standard form can degrade sharply on regional speech that native speakers consider entirely ordinary.

The degradation is rarely uniform. Common words survive and specific ones fail, which produces a transcript that reads fluently and is wrong in the places that carry the meaning. That is the worst combination: fluent enough to trust, wrong enough to matter.

Code-switching is normal, and systems find it hard

In a great many workplaces people move between languages within a single sentence, particularly for technical vocabulary. A meeting might be conducted in one language with product names, tooling and jargon in another.

Systems that assume one language per utterance handle this badly. They either force the foreign term into the phonetics of the primary language, producing a plausible wrong word, or they drop it. Both are silent failures.

Script and direction affect everything downstream

For right-to-left scripts, direction is not only a rendering question. Mixed-direction text containing Latin product names or numbers has to be handled correctly at every subsequent step: chunking, indexing, display and citation.

A transcript that is correct but stored in a way that mangles direction will produce retrieval results that look corrupted to the people who need them, and the cause will be four layers away from where it is noticed.

Names are where accuracy actually matters

The words that carry the most weight in a business recording are usually the ones a general system knows least: people, products, internal systems, abbreviations.

These are also the words where a confident wrong guess does the most damage, because a misheard product name is not obviously an error to anyone reading the transcript later. A system that can be given a vocabulary list for an organisation will outperform a more generally accurate system that cannot.

How to evaluate honestly

Use your own recordings, not clean samples. Include the meeting with crosstalk, the call with background noise and the one with the strong regional accent.

Measure on the terms that matter rather than on average accuracy. A system with worse overall word error rate that gets every product name right is more useful than the reverse.

Then measure the chain, not the link: can an agent asked a real question about the recording retrieve the right passage and answer correctly. That is what you are actually buying.

Where deployment enters

For organisations where recordings cannot leave their infrastructure, this all has to work self-hosted, and the evaluation has to be run there rather than against a hosted demo. The same governance applies: policy enforced at the point of action, credentials resolved at runtime, and an audit trail covering every agent that touches the material.

Next

The transcription pages cover language coverage and deployment options. The Agent Orchestration System pages cover the evaluation layer that keeps the whole chain measurable rather than assumed.