A meeting with your German partner at 9 AM, a webinar for a Polish audience at noon, then a strategy session with a team across four countries in the evening. If you’ve ever tried to book a human simultaneous interpreter for a schedule like that, you know the math: $600+ per day per language pair, and you need two interpreters per pair because accuracy drops after 30 minutes of continuous work. Three language pairs for a full day? That’s a $4,500-15,000 budget before anyone says a word. This is exactly why AI simultaneous interpretation for online meetings is one of the hottest topics in corporate translation right now.
How AI simultaneous interpretation works¶
Here’s the short version: AI listens to the speaker, runs automatic speech recognition (ASR), translates the text through a neural model, then either displays captions or speaks the translation with a synthesized voice. The whole process takes 3-5 seconds of latency - noticeable, but acceptable for most meetings.
Two main modes:
- Captions - translated text appears at the bottom of the screen. More stable, fewer artifacts, because text is easier to correct than synthesized speech
- Speech-to-speech - AI voices the translation, sometimes even mimicking the speaker’s tone and pitch. Sounds impressive but still stumbles on complex phrases
If you’re curious how LLMs differ from traditional neural machine translation under the hood, we covered this in detail.
What Zoom, Teams, and Google Meet can do today¶
The big video platforms have already built AI translation right into their products. But there are caveats.
Zoom¶
Zoom offers two options. First - translated captions in 46 languages, including Ukrainian and Russian. Second - voice AI translation through AI Companion 3.0, launched in December 2025.
Captions are available on Business Plus plans and above, or as a $5/month add-on. Voice translation is Enterprise only. Caption quality is decent for general topics, but technical vocabulary is where things start breaking down.
Microsoft Teams¶
Teams launched Interpreter Agent - an AI simultaneous interpreter that translates speech in real time and even mimics the speaker’s voice. Sounds like the future, but there are two catches: you need a Microsoft 365 Copilot license ($30/month per user), and the launch supports only 9 languages - English, French, German, Spanish, Italian, Japanese, Korean, Portuguese, and Chinese.
No Ukrainian or Russian yet. Microsoft promises 100+ languages by end of 2026, but promises and shipping dates are different things.
On the plus side, there’s multilingual speech recognition supporting 51 languages - it automatically detects each participant’s language and transcribes it. Useful for international teams even without translation.
Google Meet¶
Google launched speech translation in Meet in February 2026 for Workspace business customers. The tech is impressive - translation preserves the speaker’s tone and emotion thanks to a DeepMind audio model.
But right now it only supports English-Spanish. Google promises to add German, Italian, and Portuguese “soon.” When exactly - unknown. For a conference with Ukrainian or Russian speakers, this isn’t an option yet.
| Platform | Captions | Voice Translation | Languages | Ukrainian/Russian | Min. Plan |
|---|---|---|---|---|---|
| Zoom | ✅ 46 langs | ✅ (Enterprise) | 46 | ✅ (captions) | Business Plus ~$22/mo |
| Teams | ✅ 51 langs | ✅ (Copilot) | 9 (voice) / 51 (text) | ⚠️ text only | Copilot $30/mo |
| Google Meet | ❌ | ✅ (limited) | 2 so far | ❌ | Workspace Business |
Specialized platforms: KUDO, Wordly, Interprefy¶
When built-in Zoom or Teams capabilities aren’t enough, there are platforms built specifically for multilingual events.
KUDO¶
KUDO is a hybrid. The platform combines AI translation with access to a network of 12,000 human interpreters across 200+ languages. It works as a widget inside Zoom, Teams, or as a standalone app.
The idea is simple: flip on AI for your regular team meeting, then plug in a human interpreter through the same platform when you need precision (legal negotiations, medical conference).
Price? For a large conference with 500 attendees and 5 languages with human interpreters - $15,000-25,000. AI-only is significantly cheaper, but KUDO only provides quotes on request.
Wordly¶
Wordly is all-AI, no human interpreters. Supports 60+ languages, works through a browser or app. Attendees just pick their language and listen to the translation or read captions.
The main advantage is simplicity and cost. No one to book, no weeks of advance planning. Turn it on and it works. For daily standups of an international team where perfect accuracy on specialized terminology isn’t critical - this is the play.
Pricing is based on usage hours and number of attendees. Specific numbers require a quote from Wordly, but they position themselves as the most budget-friendly option among specialized platforms.
Interprefy¶
Interprefy focuses on large corporate and government events. Like KUDO, it combines AI with human interpreters, but leans more toward “serious” events - congresses, government conferences, hybrid events.
Strengths include stable performance on long sessions (3-4 hours without hiccups) and professional support. Downside - higher price, and for a simple team meeting it’s overkill.
Human interpreter vs AI: when to use what¶
Not everything can be handed off to AI. Here’s a simple checklist:
AI works when: - Regular internal team meetings (standups, status updates) - Webinars and training sessions with general topics - Large events needing many languages simultaneously on a limited budget - Informational meetings where a slight nuance error isn’t critical
You need a human interpreter when: - Legal negotiations, contract signing - one mistake can cost serious money - Medical conferences with specialized terminology - Diplomatic or government meetings - Speakers have heavy accents or the room has poor audio - You need a language the AI platform doesn’t support well
Human simultaneous interpreter rates in North America and the EU run $150-400 per hour. That’s $750-2,500 per day, and you need two per language pair (interpreters physically can’t maintain accuracy beyond 30 minutes of continuous work). Three language pairs for a full day? You’re looking at $4,500-15,000.
AI for the same conference costs a fraction of that. But quality is a different story - for now.
Where AI interpretation falls short¶
Before you switch all your meetings to AI translation, here’s what to expect.
3-5 second latency - doesn’t sound like much, but in a fast-paced discussion it’s noticeable. Someone cracks a joke, the room laughs, and the translation hasn’t arrived yet. It’s disorienting.
Accents and dialects - AI is trained on “clean” speech. A thick Bavarian accent or fast speech with swallowed syllables drops accuracy from 90% to 60-70%. One user on a forum described it: “My colleague from Munich spoke for 10 minutes, and the AI got about half of it right. The other half it just made up.”
Technical vocabulary - if your meeting involves “amortization of intangible assets” or “derivative financial instruments,” AI without context often misses the mark. Some platforms (KUDO, JotMe) let you upload a glossary beforehand - it helps, but isn’t perfect.
Tone and emotion - AI translates words but doesn’t always capture sarcasm, irony, or subtext. “That’s an interesting proposal” could mean genuine interest or a polite rejection. A human interpreter gets this. AI doesn’t.
Confidentiality - your speech goes through cloud servers for processing. If you’re discussing an M&A deal or pre-release financial results, think twice. We wrote in detail about AI translation privacy, and for simultaneous interpretation the risks are the same or higher - because you’re streaming live speech.
How to get the best results from AI interpretation¶
A few tips to make AI work as well as possible:
- Good microphone - this is 50% of the equation. Your laptop’s built-in mic with room echo means poor recognition. A headset or external mic makes a huge difference
- Speak clearly at a moderate pace - 120-150 words per minute is optimal. Faster than that and the AI starts dropping phrases
- Avoid idioms and slang - “let’s not beat around the bush” gets translated literally. Better to say “let’s get to the point”
- Upload a glossary if the platform supports it - this genuinely improves accuracy for specialized terminology
- Share key points in writing before the meeting - if the AI makes a mistake, participants can cross-reference with the written version
- Test the day before - run a test call, check quality with your equipment and the language pair you need
FAQ¶
How much does AI simultaneous interpretation cost?¶
Depends on the platform. Built-in Zoom translation starts at $22/month (Business Plus) or $5/month as an add-on. Teams Interpreter Agent requires a Copilot license at $30/month per user. Specialized platforms (KUDO, Wordly, Interprefy) charge based on usage hours and attendee count - for a 100-person conference with 3 languages, expect anywhere from a few hundred to several thousand dollars. For comparison: human interpreters for the same conference would run $4,500-15,000.
Can I trust AI interpretation for important negotiations?¶
For legal, financial, or medical negotiations, AI isn’t ready to replace a human interpreter. Latency, terminology errors, and the risk of hallucinations make it unreliable when every word carries legal weight. For internal meetings, webinars, and informational sessions - absolutely.
Which platform should I pick for a multilingual conference?¶
If you’re already on Zoom or Teams and need basic translation, start with the built-in tools - it’s the simplest path. If you need 5+ languages simultaneously, have budget, and quality matters - look at KUDO (AI + human hybrid) or Interprefy (large formal events). For regular meetings without a big budget - Wordly.
What’s the latency like?¶
Typical latency is 3-5 seconds. That covers speech recognition, translation, and voice synthesis or caption display. Captions are usually faster (2-3 seconds), voice translation slower (4-6 seconds). For reference: a human simultaneous interpreter works with 1-2 seconds of delay.
Do these tools support Ukrainian and Russian?¶
Zoom supports both for translated captions. Microsoft Teams recognizes both for transcription, but the voice Interpreter Agent currently works with 9 languages only - neither Ukrainian nor Russian is included yet. Google Meet supports English-Spanish only as of early 2026. Among specialized platforms, KUDO offers human interpreters for both languages, and Wordly claims 60+ language support.