Transcribing Hebrew meetings: what actually works in 2026

The short answer

1. Noter AI — Hebrew sits inside 60+ transcription languages with automatic language identification running on every recording, and language is tagged word by word rather than fixed for the whole file. The app is also built for right-to-left languages rather than patched for them. It records in-person meetings from a phone and can give you the summary and action items in English.

2. Fireflies.ai — Hebrew 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, but no automatic detection: you commit to a language before the meeting starts, which is the wrong shape for a Hebrew-English meeting.

4. Fathom — 38 languages and the most generous free plan in the category; online calls only.

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 Hebrew at all. Its six languages are English (US and UK), Spanish, French, German, Japanese, and Chinese Simplified. For Hebrew meetings it is simply not an option.

Why Hebrew breaks transcripts in a specific way

• Hebrew is written without vowels. Modern Hebrew drops the vowel marks, so the same three letters can be several different words. The model has to resolve them from context, and it resolves them wrong most often in technical vocabulary and names — exactly the words a meeting transcript exists to record.
• Two directions on one line. Hebrew runs right to left, English and digits left to right. When a Hebrew sentence contains an English product name and a number, weak bidirectional handling puts them in the wrong visible order. The characters are right and the sentence says something else.
• Israeli tech speech is a hybrid register. "Ta'ase deploy le-staging", "ha-sprint nigmar be-yom shlishi". English verbs take Hebrew prefixes. A tool locked to Hebrew at record time spells the English phonetically in Hebrew letters; a tool locked to English loses the Hebrew.
• Prefixes attach directly to words. Ha-, be-, le-, mi-, ve- are glued to the front of the following word with no space. Mishearing one letter changes "to the client" into "from the client" while leaving a valid Hebrew word behind.
• Final letter forms matter. Five Hebrew letters change shape at the end of a word. A model that uses the wrong form produces text that reads as broken to any Hebrew speaker. Test five minutes of your own audio before subscribing to anything on this page — that 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 Hebrew work are concrete.

Right-to-left is designed in, not bolted on. Arabic is a first-class output language and the interface itself flips direction, so mixed Hebrew-and-English text renders in the right order instead of scrambling around product names and numbers. Most meeting tools treat right-to-left as an afterthought and it shows in the first paragraph.

Word-level language tagging fits Israeli speech. Transcription runs on Soniox's unified speech model, which identifies language per word rather than per recording, so "ta'ase merge le-main lifney ha-demo" comes back with the English written in Latin letters and the Hebrew in Hebrew.

Nothing to set before recording. Automatic language identification is enabled on every recording. There is no Hebrew/English picker to get wrong before a meeting that was never going to stay in one language.

It records the room. Standups, board meetings, investor conversations, client meetings in a Tel Aviv office, interviews — most of these 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.

Hebrew 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 team meets in Hebrew but the board, the investors or the US office read English.

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. Hebrew is a transcription language, not yet one of the 18 output languages — so a Hebrew meeting can come back summarised in English, but an English meeting cannot come back summarised in Hebrew. Unvoweled ambiguity in names and technical terms deserves a 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 audio can be tested free before paying.

#2 — Fireflies: broadest catalogue, metered summaries

Fireflies covers Hebrew inside 100+ languages with automatic detection, so it doesn't force a choice before recording and copes with the English that fills Israeli tech 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 a good idea for Hebrew-English documents, but there's no automatic language detection — you pick before recording, which is the wrong model for a meeting that switches every sentence — plus a three-minute cap on free sessions. Confirm Hebrew 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 in-person meetings entirely. 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 Hebrew

This gets its own section because Otter is the most recognised name in the category and is widely used inside Israeli companies for their English calls, which makes people assume Hebrew works too. It doesn't.

Otter supports six languages: English (US and UK), Spanish, French, German, Japanese, and Chinese Simplified. No Hebrew, no automatic detection, no translated summaries, and no right-to-left handling. Its live English transcription is the best in the category, so it remains a reasonable tool for an all-English call with a US customer — and useless for the internal meeting that follows. See the Otter.ai comparison.

Getting a cleaner Hebrew transcript

1. 1Record five minutes of a real meeting first and check the mixed lines specifically — a Hebrew sentence containing an English product name and a number is the hardest thing your tool will do.
2. 2Put the phone flat in the middle of the table, nothing covering the mic. Single-letter prefixes carry meaning in Hebrew and are the first thing lost to background noise.
3. 3Don't ask people to avoid English. With an auto-detecting tool it isn't needed, and Israeli tech speech won't cooperate anyway.
4. 4Proofread names and technical terms. Because Hebrew is written without vowels, these are where wrong-word errors cluster, and they look like valid Hebrew.
5. 5Say dates and numbers clearly once, early in the meeting — mixed-direction text goes wrong around digits more than anywhere else.

Bottom line

For Hebrew, three things decide it: whether the app supports the language at all, whether it keeps mixed Hebrew-English text readable in both directions, 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 — word-level detection, right-to-left built in rather than patched, in-person recording from a phone, and English summaries from a Hebrew meeting — at $9.99/month or $49.99/year. Test it on five minutes of your own audio, and read the mixed lines first.