Does Otter AI support Hebrew and mixed-language calls?
Quick answer: Not yet. This week Otter AI announced 27 new languages. Hebrew and Arabic are among the 14 marked 'coming soon', with no launch date. Thirteen, including German, Portuguese and Mandarin, work today, and Spanish was already supported. Automatic language switching has also been announced but isn't live, so you still pick one language for each recording. If you only need voice notes turned into reminders, a WhatsApp assistant may be the simpler tool.

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Does Otter AI support Hebrew right now?
No, not yet. Hebrew is on the list Otter announced this week, but it's in the 'coming soon' group and has no launch date. The company unveiled 27 new languages and called it its biggest multilingual expansion so far. Thirteen work today: Mandarin Chinese, Cantonese, Korean, German, Italian, Portuguese, Russian, Indonesian, Malay, Dutch, Turkish, Vietnamese and Polish. The other fourteen are still on the way, including Hebrew, Arabic, Hindi, Greek and Persian. Once everything ships, Otter says it will cover 31 languages. So if you run a business in Tel Aviv or Haifa, or anywhere your day runs half in Hebrew, you're still waiting. That doesn't make the announcement unimportant. It just means you shouldn't plan next month's client calls around it.
For years Otter was basically an English product. Spanish and French arrived in late 2024. That's why so many reviews online still say it only handles English, French and Spanish. Those reviews are now out of date for German, Korean or Portuguese speakers, but they're still accurate for Hebrew and Arabic. Otter says the new languages run on its own speech models, trained on publicly available datasets and checked by native-speaking volunteers. It hasn't published accuracy results for each new language. That isn't a scandal. It just means the accuracy test that counts is the one you run yourself, on your own voice, with your own accent, your own clients' names and the background noise of wherever you actually work.
Spanish-English speakers are in better shape. Both languages are supported today, so you can record a Spanish meeting or an English one and get a usable transcript. Arabic-English speakers are in the same position as Hebrew speakers: Arabic has been announced but isn't live. And there's a catch for everyone, which the next section covers. Right now you choose one language in your settings before you record. That's fine for a meeting held entirely in Portuguese. It works much less well for the way bilingual people really talk. A sentence starts in Hebrew, picks up an English tech term along the way, and ends with a price in whichever language came out first.
| Group | Status | Languages or feature |
|---|---|---|
| Supported before the update | Live | English, Spanish and French, among others |
| 13 new languages | Live now | Mandarin Chinese, Cantonese, Korean, German, Italian, Portuguese, Russian, Indonesian, Malay, Dutch, Turkish, Vietnamese, Polish |
| 14 new languages | Coming soon, no date | Hebrew, Arabic, Hindi, Thai, Persian, Greek, Swedish, Danish, Finnish, Norwegian, Czech, Hungarian, Romanian, Macedonian |
| Automatic language switching | Announced, no date | Follows speakers who move between languages in one meeting |
What does Otter's language switching actually do for mixed-language calls?
Otter's upcoming language switching is meant to notice when speakers move from one language to another during a meeting and keep transcribing without you changing any settings. The company's example is a call that goes from English to Korean to Portuguese, with the transcript keeping up the whole way. For international teams, that's a genuinely useful idea. But it has been announced, not shipped. Today you still pick one language before you hit record, and there's no release date for the switching feature. If you've got a bilingual partner meeting next month, plan around the product that exists today. A press release isn't a roadmap you can bill a client against.
Here's my slightly unpopular take: even after switching arrives, it may not fix the problem most bilingual business owners actually have. A call where one person speaks Korean and another answers in English is different from the way people in Israel, Miami or Beirut really talk. They switch inside a single sentence: Hebrew grammar with English nouns, or Spanglish like 'mándale el invoice a Carlos before Friday'. Linguists call this code-switching, and it's one of the hardest cases for any speech model. Nothing in the announcement promises to handle it well. Maybe it will. But 'follows conversations across languages' and 'gets your Spanglish right' are two different claims, and Otter has only made the first one.
Mixed-language speech trips up transcription in predictable places. Names suffer first: 'Yossi' or 'Itzik' turns into whatever English word sounds closest. Numbers come next, because people often give prices in one language and dates in another. Then there's industry jargon. English loanwords can get mangled by a model listening for Hebrew or Arabic, and the reverse happens too. None of this makes a transcriber useless. It means you should treat a bilingual transcript as a draft to skim, not a record to trust blindly. That goes double when it includes amounts, deadlines, or anything you might later quote back to a client. If a mistake there could cost you money, check it against your memory or your notes.
When is a meeting transcriber like Otter the right tool?
A meeting transcriber earns its keep when the conversation itself is the work: long calls, several speakers, and a need to search or share what was said later. Think client discovery calls, weekly team meetings, job interviews, training sessions, or a negotiation where you want a record of who agreed to what. Otter has always been good at joining calls, labelling speakers, producing a searchable transcript and writing a summary afterwards. If you spend hours a week on video calls and keep losing track of decisions, that's exactly the job it was built for. You get the whole conversation instead of three half-legible lines in a notebook, and you can share it with a colleague who missed the call.
The trade-off is that a transcriber is a whole system. You connect it to your calendar, decide which meetings it joins, tell attendees they're being recorded, and then you actually have to go back and read what it produced. That last step is where many small business owners quietly give up. A 45-minute transcript is a lot of text, and the one action item you care about ('send Dana the quote tomorrow') is buried around minute 31. Summaries help, but you still have to open the app, find the meeting and copy the to-do somewhere you'll actually see it. For a five-person team with regular meetings, that overhead pays off. For a solo electrician or a freelance designer, it usually doesn't.
Then there's recording itself. In many places you need the consent of everyone on a call to record it, and plenty of clients get twitchy when an AI bot shows up in the meeting. The rules differ between countries and between states, so check what applies to you instead of assuming. Also be honest about where your important conversations actually happen. If most of them are in person, on the phone or in quick WhatsApp exchanges rather than scheduled video meetings, a meeting bot will sit idle most of the time. A quick test: if you can't name three meetings from last week that you wish you'd recorded, you probably don't need a recorder. You need a better way to capture what comes after.
When is a WhatsApp voice note enough instead of a transcriber?
If you mostly need to turn a passing thought into a reminder or a to-do, you don't need a meeting transcriber at all. You need something that hears 'Remind me to send Dana the quote tomorrow at 10' and then actually reminds you tomorrow at 10. That's a much smaller job. Most bilingual business owners already do the first half of it every day by recording a voice note in WhatsApp. The trouble is where those notes end up. Voice notes to yourself, or to a 'notes' group with only you in it, pile up and get forgotten. Nobody plays back their own 40-second ramble from Tuesday, and the quote never gets sent.
That's the job Agent Sonic does. Sonic is an AI assistant that lives in WhatsApp. You message it like any other contact, and there's nothing to install. Send it a voice note on the way to the car, like 'Remind me every Monday at 9 to call the accountant' or 'Add to my list: order more boxes, pay the electrician', and it turns that into a reminder, a to-do or a note. It can reply with a voice note too. Later you can ask 'What did I need to do for the Levi project?' and it pulls up what you told it, because it remembers your notes and preferences. If you use Google Calendar, a voice note like 'Put a call with Maya on Thursday at 3' can go straight in as an event.
Sonic isn't a replacement for Otter. It doesn't join your video calls or produce a speaker-labelled transcript of a 45-minute meeting, and it doesn't try to. The two tools answer different questions. Otter answers 'what was said in that meeting?' Sonic answers 'what do I need to do next, and when?' Plenty of people will want both. But if you've been eyeing a transcriber mainly so you can capture your own tasks and ideas by voice, try the lighter option first. Send Sonic a voice note in WhatsApp and see whether the reminder actually fires. The same goes for language: test it with the mix you really speak, not a tidy textbook sentence.
| What you need | Better fit |
|---|---|
| Searchable transcript of a one-hour client call | Meeting transcriber |
| Speaker-labelled notes from weekly team meetings | Meeting transcriber |
| Turn 'remind me to…' into a reminder that fires on time | WhatsApp assistant |
| Capture a to-do by voice while driving | WhatsApp assistant |
| Recurring reminders for yourself or a WhatsApp group | WhatsApp assistant |
How do you test a voice AI on your own language mix?
Before you trust a voice AI with anything that matters, test it with a short, deliberately messy recording of how you really talk. A demo in perfect English tells you nothing about your Monday morning. This checklist takes about 15 minutes. First, record three real samples: one only in your first language, one only in English, and one mixed the way you'd talk to a colleague. Second, put the hard stuff in on purpose: client names, a street address, a price in shekels, pesos or dirhams, a date and a time. Third, record at least one sample somewhere realistic, like your car, a café or a job site, not a quiet office with the door closed.
Then go through the output line by line. Did it get the names right, or did 'Moran' come out as 'moron'? It happens, and it's a lot less funny when the transcript goes to a client. Did the numbers come through correctly, including whether 'ten' meant ten o'clock or ten items? When you switched to English mid-sentence, was that part dropped, garbled, or translated when you wanted it left as it was? For a task assistant the test is even simpler. Did the reminder fire at the right time, with the right wording, and did it work out 'tomorrow' correctly from today's date? Mark each sample usable, fixable or wrong. If more than one in three comes out wrong, that tool isn't ready for your language mix yet.
Finally, run the test again after updates. Otter is about to add Hebrew, Arabic and its switching feature, and every speech tool improves over time, so this month's results won't match what you get in six months. Save your three test recordings and replay them whenever something new ships. It's the cheapest quality check you'll ever do, and it stops you from trusting a press release over your own ears. And if the test shows that what you mostly need is reminders, follow-ups and to-dos captured by voice, not meeting minutes, you can get Sonic in your WhatsApp. Leave your details, and you'll get Sonic's number and a short onboarding.
Frequently asked questions
Can Otter AI transcribe Hebrew today?
No. Hebrew is one of 14 languages Otter announced as 'coming soon' in its November 2026 update, and there's no launch date yet. The same goes for Arabic, Hindi, Persian and Greek. Until Hebrew support goes live, a Hebrew recording won't produce a reliable Hebrew transcript. If you rely on Hebrew calls, check Otter's settings for the language before you sign up for a paid plan.
What languages does Otter AI support after the update?
Thirteen new languages are live now: Mandarin Chinese, Cantonese, Korean, German, Italian, Portuguese, Russian, Indonesian, Malay, Dutch, Turkish, Vietnamese and Polish. They join languages Otter already handled, including English, Spanish and French. Fourteen more are coming later, including Hebrew, Arabic, Swedish, Thai and Romanian. Once they're all out, Otter says it will support 31 languages.
Does Otter AI handle switching between languages in one call?
Not yet. Otter has announced a feature that will notice when speakers change language and keep transcribing without any manual settings, but it hasn't given a release date. For now you choose one language before each recording. Even after it launches, test it on your own speech, because switching languages mid-sentence is much harder for speech models than different speakers each using their own language.
Can Agent Sonic transcribe my meetings like Otter?
No, and it isn't meant to. Sonic is an AI assistant you message in WhatsApp. You send it voice notes or texts like 'Remind me to call Tom Friday at 4', and it turns them into reminders, to-dos and notes, remembers context, and can reply by voice. It can also read PDFs and contracts you send it. For plans and pricing, check the pricing page on the Agent Sonic site.