Can AI transcribe Hindi and Hinglish meetings?
Yes. Current multilingual speech models transcribe Hindi and code-switched Hindi-English meetings well enough to quote, since they were trained on mixed-language speech rather than one language at a time. Donna transcribes what was actually spoken and can write the report in Hindi while keeping every quote in its original language.
Why Hinglish is harder than Hindi
A meeting conducted entirely in Hindi is a single-language transcription problem. An Indian workplace meeting is usually not that: the sentence starts in Hindi, the technical noun is English, the deadline is in Hindi again, and the joke switches twice. Systems that detect one language per file mangle exactly the words that carry meaning. Multilingual models trained on code-switched speech handle this far better, which is why mixed-language teams should test with a real recording rather than trusting a language list.
Transcript language and report language are two different settings
This distinction matters and most tools blur it. The transcript should record what was said, in the language it was said in — anything else destroys the quotes that make a record useful. The report is a separate artefact and can be written in whatever language the reader prefers. Donna keeps them separate: the transcript stays faithful, and the report language is a setting, with direct quotes preserved as spoken even when the surrounding analysis is in Hindi.
Getting better results from a mixed-language call
The gains are mostly acoustic, not linguistic. Headsets over laptop microphones; one speaker at a time, because overlapping speech across two languages is the hardest case there is; and product names spoken clearly the first time. Where a transcript is load-bearing — a client approval, a compensation number — Donna cites the timestamp with the quote, so any critical line is one click from the audio that proves it.
Related questions
Will speaker names be right in a Hindi meeting?
Yes — names come from the meeting platform’s own participant and caption data rather than from voice matching, so attribution does not depend on the language being spoken.
Can I get an English report from a Hindi meeting?
Yes, and it is the default direction: the transcript stays in the spoken language and the report is written in your chosen language, with quotes left as spoken so nothing is lost in translation.
Does this work for other Indian languages?
The underlying recognition is broadly multilingual, so other widely spoken languages transcribe too, with quality varying by language and audio conditions. The honest advice is the same for any vendor: run one real meeting through it before standardising.
Put Donna in your next meeting
Access is open — sign in with your Google account and she’s in your dashboard in minutes. Rolling out to a whole team, or want a hand with the server setup? We’re glad to help.