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Offline AI in your language · updated 2026-10-16

Can offline AI handle Hinglish?
Hindi in Roman letters, mixed with English: the hard case for speech and text models.

Short answer. Partly, and less predictably than Hindi or English on their own. Hinglish has no entry in Whisper’s 100-language list, in the 2011 Census language tables or in the FLORES-200 translation benchmark, so no open model promises it. What exists is research: L3Cube’s HingCorpus holds 52.93 million real Hindi-English sentences in Roman script, AI4Bharat’s IndicLID identifies romanised Indian languages, and Sarvam tests its models on romanised text. As of October 2026, ANVE’s meeting-minutes maker handles Hindi, English and Hinglish in the development build; ANVE has published no accuracy figure for it.

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What open models cover for Hinglish

TaskModelsWhat the source says
Speech to textWhisper, IndicConformerWhisper’s language list has Hindi (hi) and English (en) but no Hinglish code. The paper says a training pair counted as speech recognition only if a language detector agreed that the spoken language matched the transcript language, and it reports no mixed-language test. IndicConformer’s card lists Hindi and says nothing about mixed speech.
Chat and text understandingSarvam 30B and 105B, Sarvam-MSarvam’s launch post says its benchmark gives each of the 22 languages in native and romanised script, to reflect messaging. Sarvam-M’s card claims an 86% improvement on romanised Indian-language GSM-8K maths. These are the vendor’s own figures. The Llama, Qwen and Gemma cards report nothing for Hinglish.
Code-mixed text modelsL3Cube HingBERT, HingGPTThe HingCorpus paper builds what it calls the first large-scale real Hindi-English code-mixed corpus in Roman script: 52.93 million sentences and 1.04 billion tokens, taken from Twitter. It says real code-mixed data are scarce. The models are research models, BERT-style plus a GPT-2-style HingGPT, not office assistants.
Language identification and transliterationAI4Bharat IndicLID, IndicXlitIndicLID identifies 22 Indian languages in native script and in romanised text, and is described as the first identifier for romanised Indian-language text. IndicXlit, trained on 26 million transliteration pairs for 21 languages in 12 scripts, converts between Roman and native scripts. Its paper calls romanised input widespread.
TranslationIndicTrans2, NLLB-200Neither lists Hinglish: both list Hindi only in Devanagari (hin_Deva), plus English. Treat Hinglish as Hindi or English first, for example by converting Roman-script Hindi to Devanagari before translation. That route is our suggestion and is untested.
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Roman letters, Devanagari and the mix in between

Hinglish mixes Hindi and English, often a Hindi sentence frame with English nouns, and it is written in Roman letters, in Devanagari, or in both. A typical office sentence is “Kal ki meeting mein budget approve ho gaya, Rohan next week tak PO bhej dega.” A transcript of it can come out in Roman letters, as कल की मीटिंग में बजट approve हो गया with English words kept in Latin, or as a pure Hindi sentence with the English words translated. Each is a different result for the person who reads the minutes, so decide which one you want before you test.

The Census does not count Hinglish speakers. The 2011 Census recorded each person’s mother tongue as the language their mother spoke to them in childhood and sorted the replies into 121 languages; Hinglish is not among them, and it is not one of the 22 languages in the Eighth Schedule.

Script also changes cost. The RomanSetu paper found that romanised text cut token counts by 2x to 4x compared with native-script text, and that, after extra training on romanised data, a Llama 2-based model matched or beat native script on several tasks. An off-the-shelf model may not behave the same way, which is why the tests below use your own text.

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What to test with your own meetings

  • Choose the output first: Roman-script minutes, Devanagari minutes or English minutes. Then check which one the tool produces for the same sentence on three different days.
  • Count how often English nouns, product names and PO or invoice numbers are kept exactly as spoken.
  • Check that Hindi words are not silently translated into English, and that English words are not turned into odd Hindi spellings.
  • Check the names of people, owners and deadlines, because action items depend on them.
  • Record speakers who switch language in the middle of a sentence and others who switch between sentences. Test both.
  • For chat typed in Roman letters, send the same question spelt two ways and see whether the answers agree.
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Where ANVE stands

ANVE’s meeting-minutes maker handles Hindi, English and Hinglish transcripts in the development build. Every action item must quote the transcript line it came from, and a person confirms each owner before the item is approved. The confirmation is logged.

That describes what the software accepts, not a measurement. ANVE has published no accuracy figure for Hinglish, and none of the sources above reports one for an open model. Use the tests on your own recordings. ANVE is pre-release: no sealed unit exists and there are no customers yet.

New open models appear often. On ANVE, updating is a deliberate step: ANVEAI installs updates on site today, signed packages applied offline by USB are not on ANVE yet, and nothing updates itself over the internet.

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Questions people ask

Is Hinglish a language?
It is not among the 22 languages of the Constitution’s Eighth Schedule, and the 2011 Census tables have no Hinglish entry among their 121 languages. It is a way of speaking and writing that mixes Hindi and English.
Can Whisper transcribe Hinglish?
Whisper has no Hinglish setting: you pick Hindi, English or automatic detection. The paper reports no test on mixed Hindi-English speech, so measure it on your own audio.
Should Hinglish minutes be written in Roman letters or Devanagari?
That is your office’s choice, and tools differ. IndicXlit can convert between Roman and native scripts for 21 languages. Decide first, then test which script each tool produces.
Does typing Hindi in Roman letters help AI models?
Sometimes. RomanSetu found romanised text needed 2x to 4x fewer tokens and matched or beat native script on several tasks, but only after the authors continued pre-training a Llama 2-based model on romanised text.
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What is not real yet

No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.

Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.

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Sources