Most tools mishandle Urdu for a reason that has nothing to do with the audio: in conversation, Urdu and Hindi are close enough to be mutually intelligible, so a recognizer happily detects "Hindi" and gets the spoken words roughly right. The problem starts the moment it writes them down. Urdu is written right-to-left in Nastaliq, a Perso-Arabic script — not the left-to-right Devanagari a "Hindi" detector reaches for — and formal Urdu draws its vocabulary from Persian and Arabic, not the Sanskrit register Hindi leans on. So the same sentence can be heard correctly and still come back in the wrong script, in the wrong word choice, unreadable to the very people it was for. Add the English mixing of Pakistani corporate life, and "supports Urdu" on a feature list tells you almost nothing. Here's what actually decides whether an Urdu meeting comes back usable.
Same conversation, different script
Speak Urdu and Hindi in a relaxed meeting and the two overlap so much that listeners on either side mostly follow along — which is exactly why auto-detection collapses them into one label. But they are written in entirely different systems. Urdu uses Nastaliq, a flowing right-to-left Perso-Arabic script (اردو); Hindi uses Devanagari, which runs left-to-right (हिन्दी). A tool that decides the speaker is "Hindi" transcribes into Devanagari — a script a Pakistani or Urdu-reading participant simply doesn't read. The words may even be right; the page is still wrong. For the mirror-image case from the Hindi side, see Hindi ↔ English meeting translation.
The register is Persian and Arabic, not Sanskrit
The deeper split shows up in word choice. Casual Urdu and Hindi share a core, but formal and literary registers diverge sharply: written Urdu reaches for Persian and Arabic loanwords where Hindi reaches for Sanskritic ones — shukriya vs dhanyavaad for "thank you," and a whole formal vocabulary that follows the same pattern. A speaker can say one neutral word aloud, but the written register expected in a real Urdu transcript is the Perso-Arabic one. A tool that treats the speech as "Hindi" tends to render the Sanskritic register, so even with the right script the document reads wrong to an Urdu audience — formal in the wrong direction.
Urdu-English code-mixing is the business register
In Pakistani corporate meetings, professional Urdu is mixed with English — Urdu grammar carrying English nouns and verbs, often with Urdu endings attached. "Yeh feature agle sprint mein deploy karna hai" is one normal sentence: English content words, Urdu frame, Urdu verb. A tool that detects "Urdu" may leave the English untranslated; one that detects "English" leaves the Urdu — and either way someone gets half a sentence. Each reader needs a complete line rebuilt in their own language, in the right script and register, not a patchwork with the other half left in.
Why "supports Urdu" isn't enough
A tool can list Urdu, hear a clean sentence correctly, and still hand you Devanagari instead of Nastaliq, a Sanskritic register instead of a Perso-Arabic one, and half-translated Urdu-English lines. The feature list won't tell you which. One real call will: does a native speaker read the captions and transcript and recognize how the room actually talked — right script, right direction, right register? 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 Karachi team reads clean Urdu in right-to-left Nastaliq, a colleague abroad reads clean English — both from the same spoken Urdu, at the same time. (Sageio translates into 20+ languages.)
- Everyone speaks naturally — Urdu, the English mixing, 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
Speak a few sentences of normal Urdu and check the captions first for script and direction: do they come back in right-to-left Nastaliq (اردو), or has the tool quietly written Devanagari? Then say a polite, formal line — something with shukriya and a Persian-Arabic turn of phrase — and see whether the written register matches Urdu rather than drifting Sanskritic. Finally, say a normal mixed line ("yeh task mujhe next week tak finish karna hai" — "I have to finish this task by next week") and check whether the English words stay whole while the Urdu renders correctly. If the script flips, the register drifts, or the English comes back garbled, the tool wasn't built for spoken Urdu.
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
If Urdu and Hindi sound alike, why does translation get it wrong? Because the problem is on the page, not in the audio. Conversational Urdu and Hindi are largely mutually intelligible, so a tool can detect "Hindi" and capture the words — then write them in Devanagari, left-to-right, in a Sanskritic register. An Urdu reader needs right-to-left Nastaliq and the Perso-Arabic register, so even a correct transcription comes back unreadable to them.
What is Nastaliq, and why does the script matter for meetings? Nastaliq is the flowing right-to-left Perso-Arabic script Urdu is written in, distinct from Hindi's left-to-right Devanagari. A tool that renders the wrong script shows an Urdu reader a page they can't read — or empty boxes. A transcript serving an Urdu-reading office has to produce the right script and direction, not just the right words.
Why does the Persian-Arabic register matter if people understand both? Spoken understanding and written expectation aren't the same. Formal Urdu draws vocabulary from Persian and Arabic (shukriya) where Hindi draws from Sanskrit (dhanyavaad). A meeting document is expected to be in the right register; a tool that renders the Sanskritic one reads subtly wrong to an Urdu audience even when the script is correct.
How does it handle Urdu mixed with English? Pakistani corporate Urdu routinely drops English nouns and verbs into an Urdu frame — "deploy karna hai." Tools that assume one language per sentence translate only half. Correct handling rebuilds a full sentence in each reader's target language and script, keeping the English content words intact where they belong.
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 Urdu, the honest test is whether a native speaker reads the live captions and transcript and hears the actual meeting — right script, right direction, right register, the English kept whole. Add the bot to your next call and let them judge.