Transcribing Urdu meetings: what actually works in 2026

The short answer

1. Noter AI — Urdu sits inside 60+ transcription languages with automatic language identification running on every recording, so nothing is chosen before you press record. It keeps Urdu in Urdu script, handles meetings that slide into English, records in-person meetings from a phone, and can give you the summary and action items in English.

2. Fireflies.ai — Urdu within 100+ languages with auto-detection. The broadest published catalogue here, but AI summaries are rationed by monthly credits and pricing is per seat.

3. Notta — 58 languages with a useful bilingual side-by-side view, held back by having no automatic detection: you commit to a language before the meeting starts. Check Urdu is on the current list before paying.

4. Fathom — 38 languages and the most generous free plan in the category; online calls only, and Urdu sits at the edge of that list.

5. tl;dv — claims 30+ languages; strong sales analytics; weak iOS app.

6. Granola — claims 30+ languages; its phone apps record a room, but a video call still needs the Mac.

7. Otter.ai — no Urdu at all. Its six languages are English (US and UK), Spanish, French, German, Japanese, and Chinese Simplified. For Urdu meetings it is simply not an option.

Why Urdu breaks transcripts in a specific way

• The right words can arrive in the wrong script. Spoken Urdu and spoken Hindi overlap heavily, but Urdu is written in Nastaliq-style Perso-Arabic script and Hindi in Devanagari. A model that identifies the speech as Hindi transcribes it accurately and still gives you a document your Urdu readers can't use.
• Business Urdu is half English. "Meeting reschedule kar dete hain", "budget approve ho gaya", "deadline", "invoice", "follow-up". Any tool locked to Urdu at record time spells those English words out phonetically in Urdu letters, which usually wrecks the exact sentences that carry the decision.
• Roman Urdu is not Urdu. Some tools return Urdu typed in Latin letters. It's readable on WhatsApp and unusable in a document that goes to a client or a board.
• Direction breaks when English is mixed in. Urdu runs right to left, English and digits left to right. Tools that don't handle bidirectional text properly scramble the position of numbers, dates and company names — the parts of a transcript people actually check.
• Formal and spoken Urdu are far apart. Models trained mostly on written Urdu tend to produce a stiff literary register nobody used in the room. Test five minutes of your own audio before subscribing to anything on this page — that advice applies to every app here.

All 7 apps compared

#1 — Noter AI

Noter AI is the app this site is about, so weigh this section accordingly — the reasons it fits Urdu work are concrete.

Nothing to set before recording. Transcription runs on Soniox's unified speech model with automatic language identification enabled on every recording. There is no Urdu/English selector to get wrong before a meeting you didn't plan.

Urdu-English mixing survives. Language is tagged word by word rather than fixed for the whole recording, so "payment next week clear ho jayegi" comes back with the English written as English and the Urdu as Urdu, instead of the borrowed words arriving as invented Urdu spelling.

It records the room. A supplier meeting in Karachi, a site visit in Lahore, a family business discussion, a client meeting that was never going to be on Zoom — most Urdu business conversations are not scheduled video calls. Noter records them from a phone with one tap, a Control Center widget, or Siri, and keeps recording in the background. For virtual meetings a bot joins Zoom, Microsoft Teams, Google Meet, and Webex.

Urdu in, English out. The executive summary, detailed analysis, and action items can be read in English rather than only the raw transcript — useful when the meeting happens in Urdu but the report goes to a head office, an investor, or a client abroad.

One flat price. $9.99/month or $49.99/year covers transcription, translation, summaries, and action items, with no per-seat fees and no monthly AI credits. Rated 4.8★ on the App Store.

The honest limits. Urdu is a transcription language, not yet one of the 18 output languages — so an Urdu meeting can come back summarised in English, but an English meeting cannot come back summarised in Urdu. Proper nouns and place names are the other thing to proofread on any tool, this one included. There's also no web or desktop app, no CRM integrations, and no permanent free tier, though roughly five minutes of your own Urdu audio can be tested free before paying.

#2 — Fireflies: broadest catalogue, metered summaries

Fireflies covers Urdu inside 100+ languages with automatic detection, so it doesn't force a choice before recording and copes with the English that fills Pakistani business speech. For a company running on Zoom or Teams, with 50+ integrations to push notes into a CRM, it's a legitimate option.

Why it isn't first: in-person recording sits in a mobile app that's the thinner half of a bot-and-browser product, its AI summaries are rationed by monthly credits even on paid plans, and pricing is per seat. See the Fireflies comparison.

#3–#6 — the rest

Notta publishes 58 languages and its bilingual side-by-side transcript is genuinely useful if you produce Urdu-English documents. Two blockers: there's no automatic language detection — you pick before recording, which is exactly wrong for a bilingual meeting — plus a three-minute cap on free sessions. Confirm Urdu is on the live list before subscribing. See the Notta comparison.

Fathom publishes 38 languages and has the best free plan in the category, but it records online calls only and can't import an audio file, which rules out most in-person Urdu meetings. See the Fathom comparison.

tl;dv claims 30+ languages and is strong on sales-call analytics. Its iOS app sits around 2★ and its free plan caps you at 10 AI summaries for the lifetime of the account. See the tl;dv comparison.

Granola claims 30+ languages and captures Mac system audio with no bot in the call, and its phone apps record a meeting held in a room; a video call still has to be captured on the Mac. See the Granola comparison.

#7 — Otter.ai doesn't support Urdu

This gets its own section because Otter is the most recognised name in the category, and people reasonably assume a language with hundreds of millions of speakers is covered. It isn't.

Otter supports six languages: English (US and UK), Spanish, French, German, Japanese, and Chinese Simplified. No Urdu, no automatic detection, no translated summaries. Its live English transcription is the best in the category and none of that helps here. See the Otter.ai comparison.

Getting a cleaner Urdu transcript

1. 1Record five minutes of a real meeting first and read the output — your speakers, your room, your usual amount of English. Check the script before anything else: if Urdu comes back in Devanagari or Roman letters, stop there.
2. 2Put the phone flat in the middle of the table, nothing covering the mic. Urdu has aspirated and retroflex consonants that muddy first when the audio is poor.
3. 3Don't ask people to avoid English words. With an auto-detecting tool it isn't needed, and Pakistani business speech won't cooperate anyway.
4. 4Proofread names, cities and amounts. That's where correction time goes on any tool, and it's where mixed left-to-right and right-to-left text goes wrong.
5. 5Check negatives. "Nahin" and "na" are short and easy to lose in fast speech, and dropping one inverts what was agreed.

Bottom line

For Urdu, three things decide it: whether the app supports the language at all, whether it survives the English that fills Pakistani business speech, and whether it can record a meeting that isn't on a call.

Otter fails the first outright. Fireflies clears the first two and records a room only from its mobile app. Notta makes you commit to a language before the meeting shows its hand. Noter AI clears all three — automatic detection with word-level language tagging, in-person recording from a phone, and an English summary from an Urdu meeting — at $9.99/month or $49.99/year. Test it on five minutes of your own audio, and check the script first.