Multilingual AI Meeting Notes: Urdu, Hindi & Arabic

Why most AI notetakers quietly fail on non-English meetings

Most transcription tools were built English-first, and it shows. They tend to make one big assumption at the start of a recording: that the whole meeting is in one language, usually the one set in your account preferences. Everything downstream — the speech model, the punctuation, the summary — is tuned to that single choice. When the audio doesn't match the assumption, quality drops off a cliff.

The failure isn't always obvious, which is what makes it dangerous. You don't get an error message. You get a transcript that looks plausible and is quietly wrong. An Urdu sentence gets forced into English-sounding words that rhyme with the original. An Arabic action item gets mangled into nonsense that no one reviews because, well, who re-reads their own meeting notes line by line?

There are a few recurring ways these tools break down:

• Wrong-language lock-in. The tool decides the meeting is English in the first few seconds and never reconsiders, so every non-English stretch is transcribed as garbled English.
• Manual language pickers that punish you. You're asked to choose one language up front. Pick wrong, or pick Hindi for a meeting that's really Hindi-and-English, and you've capped your accuracy before anyone has spoken.
• No handling of code-switching. Even tools that support many languages often assume each recording is monolingual. The moment a speaker switches, accuracy for that segment collapses.
• English-shaped summaries. Some tools transcribe non-English audio acceptably, then summarize it in awkward, machine-translated English — losing nuance, names, and the actual decisions.
• Script and spelling mangling. Names in Arabic or Urdu script get transliterated inconsistently, so the same person appears three different ways in one document.

What code-switching actually is (and why it's not sloppy)

Linguists use the term code-switching for the practice of alternating between two or more languages within a single conversation — often within a single sentence. It's not a sign of weak language skills or laziness. It's a stable, rule-governed feature of how multilingual people communicate, and researchers have documented it for decades across the world's bilingual communities.

In practice it takes a few shapes. Sometimes a speaker finishes one sentence in Urdu and starts the next in English. Sometimes they embed a single English noun or phrase inside an Urdu clause — this is the most common pattern in South Asian and Gulf workplaces, and it happens constantly with technical and business vocabulary. Sometimes they switch to quote someone, to soften a point, or to signal formality.

Crucially, people code-switch for reasons, even if they're not conscious of them. English technical terms are often used because that's the language the tools, contracts, and training were in. A switch to the shared home language can build rapport or mark that something is off the record. A switch back to English can make a request feel more official. The meaning isn't just in the words — it's partly in the switching itself.

For a transcription system, this means the naive approach — pick one language, transcribe everything as that language — is guaranteed to lose information in exactly the meetings where the stakes are often highest: the ones where people are relaxed enough to talk the way they actually talk.

The languages real meetings are actually held in

Consider how work actually sounds across a few large regions, without stereotyping any of them — these are patterns, not rules.

In Pakistan and northern India, a huge amount of professional conversation blends Urdu or Hindi with English. The mix is so common it has informal names, and it's the default register in many offices, not the exception. A meeting might be 70% Urdu grammar carrying 30% English vocabulary, sentence after sentence.

Across the Gulf and wider Middle East, Arabic and English coexist in most multinational and many local workplaces, often alongside a third language spoken by the large expatriate workforce. Arabic itself isn't one thing: Modern Standard Arabic is used for formal writing and some formal speech, while people actually talk in regional dialects — Gulf, Egyptian, Levantine, Maghrebi — which differ significantly from each other and from the written standard.

Diaspora and remote teams add another layer. A team spread across Lahore, Dubai, and London might run a call where three languages appear, and where the same person switches depending on who they're addressing. The 'meeting language' isn't a single setting — it's a moving target that changes speaker by speaker and minute by minute.

Automatic language detection vs. picking a language by hand

The difference between a tool you fight and a tool that just works usually comes down to one design choice: does it make you declare the language before the meeting, or does it figure the language out from the audio itself?

Manual selection sounds harmless until you're the one doing it. You have to know, in advance, what will be spoken. You have to pick a single language for a meeting that will have several. And you have to remember to change the setting for the next meeting, which no one does reliably. Every wrong guess is baked into the transcript before a word is analyzed.

Automatic language detection flips this around. Instead of trusting a setting, the system listens to the speech and identifies which language is being spoken, and it does this continuously rather than once. That's the part that matters for mixed meetings: detection that runs throughout the recording can follow a speaker as they move from Urdu to English and back, transcribing each stretch in the language it's actually in.

GetNotes is built around automatic detection. It auto-detects the spoken language across 90+ languages, and it's designed to handle mid-sentence code-switching — the Urdu/Hindi/Arabic-mixed-with-English pattern that defines so many real meetings — rather than forcing the whole recording into one bucket. You don't set a language. You just record the room from your phone's browser and let the transcript form in whatever languages were actually spoken.

There's an honest caveat worth stating plainly: no automatic system is perfect, in any language. Heavy background noise, very short utterances, and unusual proper nouns are hard everywhere. Automatic detection isn't a claim of flawless output — it's a claim that you shouldn't have to predict the future to get a usable transcript, and that a mixed meeting shouldn't be treated as a monolingual one.

Getting clean minutes in the meeting's own language

Transcription is only half the job. A raw transcript of a two-hour meeting is a wall of text almost nobody reads. What people actually use is the distilled version: the summary, the decisions, and the action items. And this is where language handling matters even more than in the transcript itself.

A lot of tools transcribe non-English audio and then summarize it in English, because their summarization was only ever built for English. The result is a strange, lossy artifact — a document about an Urdu meeting, written in stilted English, that neither the local team nor headquarters fully trusts.

GetNotes writes the minutes in the meeting's language by default. If the meeting was in Arabic, you get Arabic minutes. If it was in Hindi, Hindi minutes. If it was a genuine Urdu-English blend, the minutes reflect that reality instead of pretending it was an English call. You can also choose to have minutes in English if that's what your team standardizes on — but the default respects the room.

Why this matters in practice:

• Nothing gets lost in a premature translation. Decisions and action items are captured in the language they were agreed in, so the nuance survives.
• The people who were there can actually check the notes. Minutes in the meeting's own language are far more likely to be read and corrected by attendees.
• Names, terms, and phrasing stay intact. Local terminology and proper nouns are preserved rather than approximated through English.
• Translation becomes a deliberate step, not a hidden default. You translate when you need to, into the language you choose — instead of every summary silently passing through English.

One meeting, two audiences: Arabic minutes and English minutes together

Here's the scenario that shows why keeping the original language matters. A company runs an operations review in Arabic in its Riyadh office. The local team lives in Arabic — that's the language they'll act on. But headquarters is in London and reports up in English. Both need the same meeting, in different languages, and neither should have to babysit a translation.

With GetNotes, the meeting is captured once and the minutes are produced in Arabic by default. Then, in one click, you can translate the finished minutes into any language and share them. The Riyadh team keeps the Arabic version. HQ gets an English version generated from the same source. Nobody retypes anything, and both documents trace back to the same recording, so there's a single source of truth.

This one-source, many-languages pattern is what multilingual teams actually need, and it applies well beyond Arabic and English:

• Urdu meeting, English board pack. A team meets in Urdu; leadership abroad gets English minutes to circulate.
• Hindi field meeting, English CRM notes. A regional sales conversation in Hindi becomes clean English action items for a central system.
• Mixed meeting, clean versions for everyone. A code-switched Urdu-English call can be shared as-is for attendees and as a tidy English summary for those who need one.
• Client in one language, internal team in another. Share the client-facing minutes in their language and keep an internal copy in yours.

Script and right-to-left considerations you shouldn't ignore

Handling many spoken languages is one thing. Handling their writing systems correctly is another, and it's where a lot of otherwise-decent tools reveal that they only ever tested in English.

Arabic and Urdu are written right-to-left, and they use cursive scripts where letters change shape depending on their position in a word. A tool that treats text as left-to-right will produce documents that look broken to a native reader: punctuation on the wrong side, numbers and embedded English fragments in the wrong order, letters that don't join. Even if the words are right, the reading experience signals that the tool wasn't built for you.

Then there's the transliteration trap. When a name or term spoken in Urdu or Arabic gets written out in Latin letters, there's rarely one 'correct' spelling — the same name can be rendered several ways. If a tool transliterates inconsistently, one person ends up spelled three different ways across a single set of minutes, which quietly breaks search, follow-ups, and trust. Keeping names in their original script, when that's the meeting's language, sidesteps the whole problem.

A few things worth checking in any tool you rely on for these languages:

• Right-to-left rendering that displays Arabic and Urdu minutes the way they're meant to be read, including mixed RTL/LTR lines where English words appear inside an Arabic sentence.
• Consistent handling of names so the same person and the same term appear the same way throughout a document.
• Numbers and dates that sit correctly within right-to-left text rather than scrambling the line.
• Clean copy-paste and sharing so the formatting survives when minutes move into email, chat, or a doc.

How GetNotes fits an in-person, multilingual meeting

It's worth being concrete about the workflow, because GetNotes is built for a specific situation: people in a room together, not a video call. There's no bot to invite and no app to install for attendees. You open the browser on your phone, start recording the room, and that's it.

That in-person focus pairs naturally with multilingual work, because the meetings most likely to be genuinely mixed-language — the family business, the regional office, the on-site client visit — are exactly the ones that happen face to face rather than on a call with a meeting-bot.

From a single recording you get a speaker-labelled transcript, then AI minutes: a summary, the decisions, and the action items. Language detection runs across 90+ languages and is designed for code-switching, so the transcript follows the conversation instead of flattening it. Minutes come out in the meeting's language by default, and translation into any language is one click away when you need to share across a team that doesn't all read the same script.

The first meeting is free, so you can test it on a real, messy, mixed-language conversation before deciding anything — which is the only honest way to judge a transcription tool.

Use cases by region and role

The value of multilingual notes changes depending on who you are and where you work. A few that come up again and again:

• South Asian founders and product teams. Standups and reviews in Urdu-English or Hindi-English become searchable notes and English updates for investors or overseas partners.
• Gulf enterprises and government-adjacent teams. Arabic meetings produce Arabic minutes for the local team and English for regional HQ, without a translator in the loop for routine notes.
• Diaspora and immigrant-run businesses. A meeting that naturally slides between a home language and English is captured as it happened, then shared in whichever language each stakeholder needs.
• Field sales and operations across regions. On-site conversations in the local language become clean action items in the company's working language.
• Consultants and agencies serving multilingual clients. Client meetings in the client's language, internal recaps in yours, both from one recording.
• HR, legal, and admin in bilingual offices. Interviews, grievances, and policy discussions are documented accurately in the language they were actually held in — which matters when the wording is the point.
• NGOs and healthcare in multilingual communities. Community meetings and case discussions captured in the participants' language, summarized for reporting in another.

Practical tips for better multilingual transcripts

No tool can fix audio it can't hear clearly, and multilingual meetings have the same physics as any other. A few habits meaningfully improve results:

• Place the phone near the middle of the table. In-person meetings live or die on mic distance. Central placement captures every speaker more evenly, which helps detection and speaker labels alike.
• Let people talk naturally — don't force English. The tool is built for how people actually speak. Asking everyone to switch to English for the recording defeats the purpose and usually produces worse, stiffer meetings.
• Reduce cross-talk where you can. Overlapping speakers are hard in every language. A little turn-taking discipline improves accuracy far more than any setting.
• Say names clearly at least once. For proper nouns that could be spelled several ways, a clear first mention helps consistency across the notes.
• Skim the minutes right after the meeting. Attendees who were in the room are the best proofreaders, and it takes two minutes while memory is fresh.
• Decide your team's default language once. Agree whether shared minutes go out in the meeting's language, in English, or both — then let one-click translation handle the rest.

The bigger picture: notes that respect how people speak

For a long time, the unspoken deal with meeting software was that you adapted to the tool. You picked English, or you accepted worse results. Multilingual speakers absorbed a small tax on every meeting — a little accuracy lost, a little nuance flattened, a quiet message that the way they naturally talk wasn't quite supported.

That deal doesn't hold up anymore. Automatic language detection, code-switching support, minutes in the meeting's own language, and one-click translation together mean the tool can adapt to the room instead of the other way around. An Urdu-English standup can just be an Urdu-English standup. An Arabic review can produce Arabic minutes and an English copy without anyone feeling like they compromised.

That's the standard worth holding any multilingual notetaker to: does it capture the meeting that actually happened, in the languages it actually happened in, and then help you share it with everyone who needs it — in the language each of them reads?