Most tools don't fail Marathi by refusing it — they fail it by mistaking it for Hindi. Marathi is written in the same Devanagari script as Hindi, so an auto-detector that reads the letters sees a familiar alphabet and labels the audio "Hindi," then quietly renders the wrong vocabulary and register. Marathi is a separate language with its own core words, three grammatical genders, and agreement patterns Hindi doesn't share — and a Hindi-tuned model produces plausible-looking Devanagari that a Marathi speaker reads as subtly wrong. Add the Marathi-English code-mixing that runs through Mumbai finance and Pune IT, and "supports Marathi" on a feature list tells you almost nothing. Here's what actually decides whether a Marathi meeting comes back usable.
Same script as Hindi, a different language
Marathi and Hindi both use Devanagari, and that shared alphabet is exactly what fools an auto-detector — it recognizes the letters, guesses "Hindi," and writes Hindi vocabulary into a Marathi conversation. But the languages diverge on everyday words. "I" is mī in Marathi, not Hindi's main; "is" is āhe, not hai; "but" is paṇ, not lekin; "water" is pāṇī (close) but "house" is ghar in both while "village" is gāv versus gāon — the overlap is real, which is what makes the misses sneaky. A model that defaults to Hindi outputs text that looks correct character-by-character and is wrong word-by-word, and a summary then builds on the wrong noun.
Three genders and grammar Hindi doesn't share
Hindi has two grammatical genders; Marathi has three — masculine, feminine, and neuter — and the neuter does real work that a Hindi-tuned model has no slot for. Marathi agreement is also stricter and reaches further: verbs, adjectives, and even some postpositional forms shift to match the gender and number of the noun, including the neuter. A recognizer that assumes a two-gender system picks the masculine or feminine form by default and mishandles the agreement chain, so the captions come back grammatical Hindi-flavoured text rather than correct Marathi. That's not a typo a reader forgives; it's the kind of error that signals the tool never knew which language it was in.
Minglish is the Mumbai/Pune register
In Mumbai finance and Pune IT, the working register isn't textbook Marathi — it's Minglish: a Marathi frame with English nouns and verbs dropped in, often with Marathi endings attached. "Te feature puḍhchyā sprint madhye deploy karāychā āhe" is one ordinary sentence — English content words, Marathi grammar, Marathi verb. A tool that detects "Marathi" may leave the English untranslated; one that detects "Hindi" mangles both. Each reader needs a complete sentence rebuilt in their own language, not a half-translated line with the English left dangling. (The same code-mixing pattern shows up across the region — see Hindi ↔ English meeting translation for the Hindi-side version.)
Why "supports Marathi" isn't enough
A tool can list Marathi, transcribe a clean dictionary sentence, and still collapse on the Hindi mislabel, the three-gender agreement, and the Minglish your team actually speaks. The feature list won't tell you which — it'll tell you the language is "supported," which is true and useless. One real call will tell you everything: does a native Marathi speaker read the captions and transcript and recognize how the room actually talked, in Marathi and not Hindi-flavoured Devanagari? For why this pattern repeats across Asian languages, see real-time translation for remote teams.
How to do it with Sageio
- Add
bot@sageio.netto your Google Meet calendar invite. It joins on its own — no extension, nothing to install. - Each participant picks their caption language. The Mumbai or Pune team reads clean Marathi, a colleague elsewhere reads clean English — both from the same spoken Marathi, at the same time. (Sageio translates into 20+ languages.)
- Everyone speaks naturally — Marathi, Minglish, the genders, all of it. Translated captions appear in about two seconds.
- Afterward, a searchable transcript and an AI summary arrive within about five minutes, shared at the host's discretion.
(Today this runs on Google Meet; Zoom and Microsoft Teams support is coming soon.)
How to test any tool in five minutes
Say a plain Marathi sentence that uses the giveaway words — mī, āhe, paṇ — where a Hindi-default model would write main, hai, lekin instead, and check whether the captions come back in Marathi or in Hindi-flavoured Devanagari. Then say a normal Minglish line ("he task mala next week paryant finish karāychā āhe" — "I have to finish this task by next week") and see whether it keeps the English words whole while rendering the Marathi correctly, with the right gender agreement. If it labels you "Hindi" or garbles the mix, the tool wasn't built for spoken Marathi.
Is it private?
For anything that joins your meetings: Sageio doesn't use your meeting content to train AI models, and its AI vendors are contractually restricted from doing the same. Audio is processed in memory and discarded — only the text transcript and summary are kept, encrypted, in the region you choose (US, EU, or APAC). Enterprise customers can self-host the entire stack.
Frequently asked questions
Why does a tool label Marathi as "Hindi"? Marathi and Hindi share the Devanagari script, so an auto-detector that reads the alphabet recognizes the familiar letters and guesses "Hindi." It then writes Hindi vocabulary and grammar into a Marathi conversation — text that looks correct character-by-character but reads wrong to a Marathi speaker, because the languages differ on core words like mī vs main ("I") and āhe vs hai ("is").
How is Marathi grammar different from Hindi? Hindi has two grammatical genders; Marathi has three, including a neuter, and its agreement is stricter — verbs and adjectives shift to match gender and number across the sentence. A model tuned for Hindi's two-gender system mishandles the neuter and the agreement chain, so even when the words are right the grammar comes back wrong.
What is Minglish? Marathi grammar with English nouns and verbs mixed in, often carrying Marathi endings — "deploy karāychā āhe." It's the normal working register in Mumbai finance and Pune IT. Tools that assume one language per sentence translate only half; correct handling rebuilds a full sentence in each target language.
How fast are the translated captions? About two seconds, fast enough to keep a live conversation moving, with a searchable transcript and summary within about five minutes after the call.
What does it cost to try? Every plan starts with a free 60-minute trial, no credit card required. After that, Professional is $49/month and Teams is $99 per seat/month (annual billing includes 2 months free); Enterprise is custom-priced.
If your team works in Marathi, the honest test is whether a native speaker reads the live captions and transcript and hears the actual meeting — in Marathi, not Hindi-flavoured Devanagari, with the genders right and the Minglish kept whole. Add the bot to your next call and let them judge.