[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"blog-post-en-\u002Ftraduction-simultanee":3},{"page":4,"surround":715},{"id":5,"title":6,"authors":7,"badge":10,"body":11,"date":701,"demo-cta":702,"description":703,"extension":704,"genre":705,"heroOrder":706,"image":707,"meta":708,"navigation":709,"no-translate":702,"path":710,"rank-country":706,"rank-keywords":706,"rank-tag":711,"seo":712,"stem":713,"updated":706,"__hash__":714},"blog\u002Fblog\u002Ftraduction-simultanee.md","Simultaneous translation: booth, RSI, or AI — and which tools for your meetings (2026)",[8],{"name":9},"The Mind.com Team","Guide",{"type":12,"value":13,"toc":681},"minimark",[14,18,27,38,41,46,51,54,58,65,69,76,78,82,85,96,105,107,111,114,118,145,149,199,203,233,235,239,242,446,456,458,462,490,492,496,502,520,535,545,557,559,563,566,593,595],[15,16,6],"h1",{"id":17},"simultaneous-translation-booth-rsi-or-ai-and-which-tools-for-your-meetings-2026",[19,20,21,22,26],"p",{},"\"Simultaneous translation\" is what everyone types; \"simultaneous interpretation\" is what the profession calls it. Both name the same thing: speech rendered in another language ",[23,24,25],"em",{},"while"," it is being spoken — no pauses, no relay. But under that one term hide three very different ways of getting it — the human interpreter in a booth, remote simultaneous interpretation (RSI), and real-time AI translation — and three budgets that have nothing in common.",[19,28,29,30,37],{},"This guide separates the three, then compares named tools on a verifiable basis: what each vendor's public documentation states, with the source and the date we checked it. We build one of them (",[31,32,36],"a",{"href":33,"rel":34},"https:\u002F\u002Fintermind.com",[35],"nofollow","InterMIND","); we'll say where it fits and where it doesn't.",[39,40],"hr",{},[42,43,45],"h2",{"id":44},"the-three-forms-of-simultaneous-translation","The three forms of simultaneous translation",[47,48,50],"h3",{"id":49},"_1-the-interpreter-in-a-booth-the-historical-standard","1. The interpreter in a booth (the historical standard)",[19,52,53],{},"Two interpreters per language pair, a soundproof booth, receivers for the room. This is how institutions and large conferences do it. The quality comes from a professional who understands context, irony, and jargon — and the cost comes from the same place: qualified humans, booked by the day, per language pair, plus equipment. For a weekly working meeting, this setup simply isn't designed to apply.",[47,55,57],{"id":56},"_2-rsi-the-human-interpreter-remote","2. RSI: the human interpreter, remote",[19,59,60,61,64],{},"Remote-simultaneous-interpretation platforms (Interprefy, KUDO, Boostlingo) deliver human interpreters' audio — sometimes with an AI option alongside — to participants' phones or headsets, on site or in a video call. The setup remains an ",[23,62,63],{},"event",": one speaker, an audience, languages fixed in advance, interpreters booked.",[47,66,68],{"id":67},"_3-ai-simultaneous-translation","3. AI simultaneous translation",[19,70,71,72,75],{},"No interpreter here: a speech-recognition → machine-translation → speech-synthesis cascade renders the speech in each listener's language within seconds, with nothing to book. This is the only form whose marginal cost fits an ordinary meeting — the category's tipping point. The question then becomes: ",[23,73,74],{},"what"," does the tool translate, beyond the voice?",[39,77],{},[42,79,81],{"id":80},"the-question-that-actually-separates-tools","The question that actually separates tools",[19,83,84],{},"An honest comparison doesn't ask \"is the translation good?\" — every vendor answers yes. It asks two things:",[19,86,87,91,92,95],{},[88,89,90],"strong",{},"One speaker, or everyone at once?"," Event tools optimize ",[23,93,94],{},"one stage → one audience",", often one-directional. A working meeting is N people speaking, typing, reading, and replying, each in their own language, both directions, at once. A tool that excels at conferences can be unusable for a four-person standup.",[19,97,98,101,102],{},[88,99,100],{},"After the audio, what comes back in your language?"," A meeting isn't just speech: it's the chat, the shared notes, the document dropped mid-session, the record you keep. Most tools translate the spoken moment and stop — the translation evaporates the instant the talking does. Ask any candidate plainly: ",[23,103,104],{},"after the audio, what else comes back in my language?",[39,106],{},[42,108,110],{"id":109},"the-tools-on-the-record","The tools, on the record",[19,112,113],{},"Every fact below comes from the vendor's public documentation, checked August 2026 (links at the end). \"Not stated\" means we found no claim in the public docs — check with the vendor if the point matters to you.",[47,115,117],{"id":116},"for-events-with-interpreters-rsi","For events with interpreters (RSI)",[119,120,121,133,139],"ul",{},[122,123,124,127,128,132],"li",{},[88,125,126],{},"Interprefy"," — its documentation states 190+ languages and 6,000+ combinations with human interpreters, and 80 languages for its AI translation (audio and captions). (",[31,129,131],{"href":130},"\u002Fcompare\u002Finterprefy","InterMIND vs Interprefy, feature by feature.",")",[122,134,135,138],{},[88,136,137],{},"KUDO"," — RSI platform with an AI option: the KUDO AI Speech Translator page states translated audio and captions in 60+ languages, alongside human-interpreter delivery.",[122,140,141,144],{},[88,142,143],{},"Boostlingo"," — interpreter network: its site states 10K qualified interpreters and 275+ languages on demand, plus AI captions.",[47,146,148],{"id":147},"for-multilingual-working-meetings","For multilingual working meetings",[119,150,151,161,167],{},[122,152,153,156,157,132],{},[88,154,155],{},"Wordly"," — AI-only translation for meetings and events: its documentation states 60+ languages and 3,000+ pairs, with attendees choosing text, audio, or both; its FAQ states translated transcripts and session summaries. Chat, shared-notes, and document translation are not stated in its public documentation (checked August 2026). (",[31,158,160],{"href":159},"\u002Fcompare\u002Fwordly","InterMIND vs Wordly, feature by feature.",[122,162,163,166],{},[88,164,165],{},"DeepL Voice"," — the product page states live captions in 40+ languages inside Microsoft Teams, Zoom, and Google Meet; voice-to-voice output is listed as \"coming soon\" (checked August 2026).",[122,168,169,171,172,175,176,179,180,184,185,189,190,194,195,198],{},[88,170,36],{}," — what we build: the ",[23,173,174],{},"whole"," meeting comes back in each participant's language, both directions. Voice — 24 languages, rendered in the ",[88,177,178],{},"speaker's own voice"," with sub-second latency (",[31,181,183],{"href":182},"\u002Fblog\u002Finside-the-translation-pipelines","how the cascade works","); chat and shared notes — translated live, per viewer, in the same 24 languages; documents dropped in-meeting (PDF, DOCX, PPTX, XLSX) — returned in 30 languages with formatting intact (",[31,186,188],{"href":187},"\u002Fblog\u002Fhow-many-languages-do-you-support","the honest per-surface count","); the post-meeting summary — generated in your language, on EU-hosted models with zero retention of meeting data (",[31,191,193],{"href":192},"\u002Fblog\u002Fgdpr-audit-what-we-closed","the GDPR audit","). Quality is published, not claimed: the production cascade is scored monthly against FLORES-200, full per-pair distribution, at ",[31,196,197],{"href":197},"\u002Fbenchmark",".",[47,200,202],{"id":201},"inside-the-platforms-you-already-use","Inside the platforms you already use",[119,204,205,215,224],{},[122,206,207,210,211,132],{},[88,208,209],{},"Zoom"," — translated captions in 36 languages (Business Plus\u002FEnterprise or a paid add-on); a Voice translator that renders translated audio (AI Companion, US-cluster accounts, desktop app 7.0+); and audio channels for up to 20 human interpreters you source yourself. (",[31,212,214],{"href":213},"\u002Fblog\u002Fzoom-live-translation","Full breakdown.",[122,216,217,220,221,132],{},[88,218,219],{},"Microsoft Teams"," — translated captions in 31 languages (Teams Premium or Copilot); an Interpreter agent that translates speech into speech, optionally simulating the speaker's voice (Copilot license); channels for 16 language pairs of human interpreters. (",[31,222,214],{"href":223},"\u002Fblog\u002Fteams-live-translation",[122,225,226,229,230,132],{},[88,227,228],{},"Google Meet"," — translated captions (Workspace Business Standard and above) and Gemini speech translation \"in a voice like yours\" (qualifying plans). (",[31,231,214],{"href":232},"\u002Fblog\u002Fgoogle-meet-live-translation",[39,234],{},[42,236,238],{"id":237},"the-table-how-much-of-the-meeting-comes-back-in-your-language","The table: how much of the meeting comes back in your language?",[19,240,241],{},"Every cell is what the vendor's own public documentation states, checked August 2026.",[243,244,245,273],"table",{},[246,247,248],"thead",{},[249,250,251,255,258,261,264,267,270],"tr",{},[252,253,254],"th",{},"Tool",[252,256,257],{},"Translated audio (live)",[252,259,260],{},"Translated captions",[252,262,263],{},"Chat",[252,265,266],{},"Shared notes",[252,268,269],{},"Documents in-meeting",[252,271,272],{},"After the meeting",[274,275,276,298,318,339,360,381,402,422],"tbody",{},[249,277,278,283,286,289,292,294,296],{},[279,280,281],"td",{},[88,282,126],{},[279,284,285],{},"Yes — interpreters (190+ languages) or AI (80)",[279,287,288],{},"Yes (AI, 80 languages)",[279,290,291],{},"Not stated",[279,293,291],{},[279,295,291],{},[279,297,291],{},[249,299,300,304,307,310,312,314,316],{},[279,301,302],{},[88,303,137],{},[279,305,306],{},"Yes — interpreters or AI (60+)",[279,308,309],{},"Yes (60+)",[279,311,291],{},[279,313,291],{},[279,315,291],{},[279,317,291],{},[249,319,320,324,327,330,332,334,336],{},[279,321,322],{},[88,323,155],{},[279,325,326],{},"Yes (AI; 60+ languages, 3,000+ pairs)",[279,328,329],{},"Yes",[279,331,291],{},[279,333,291],{},[279,335,291],{},[279,337,338],{},"Translated transcripts + summaries",[249,340,341,345,348,351,353,355,358],{},[279,342,343],{},[88,344,165],{},[279,346,347],{},"\"Coming soon\" (per product page)",[279,349,350],{},"Yes (40+ languages, in Teams\u002FZoom\u002FMeet)",[279,352,291],{},[279,354,291],{},[279,356,357],{},"Separate DeepL product",[279,359,291],{},[249,361,362,366,369,372,375,377,379],{},[279,363,364],{},[88,365,209],{},[279,367,368],{},"Yes — Voice translator (AI Companion, US cluster)",[279,370,371],{},"Yes (36 languages; Business Plus\u002FEnterprise or add-on)",[279,373,374],{},"Manual per-message translation",[279,376,291],{},[279,378,291],{},[279,380,291],{},[249,382,383,387,390,393,396,398,400],{},[279,384,385],{},[88,386,219],{},[279,388,389],{},"Yes — Interpreter agent (Copilot license)",[279,391,392],{},"Yes (31 languages; Premium\u002FCopilot)",[279,394,395],{},"Per-message, optional auto",[279,397,291],{},[279,399,291],{},[279,401,291],{},[249,403,404,408,411,414,416,418,420],{},[279,405,406],{},[88,407,228],{},[279,409,410],{},"Yes — Gemini speech translation (qualifying plans)",[279,412,413],{},"Yes (Business Standard+)",[279,415,291],{},[279,417,291],{},[279,419,291],{},[279,421,291],{},[249,423,424,428,431,434,437,440,443],{},[279,425,426],{},[88,427,36],{},[279,429,430],{},"Yes — 24 languages, speaker's own voice",[279,432,433],{},"Yes (24, per viewer)",[279,435,436],{},"Automatic per viewer (24)",[279,438,439],{},"Yes — live, per viewer (24)",[279,441,442],{},"Yes — PDF\u002FDOCX\u002FPPTX\u002FXLSX, 30 languages",[279,444,445],{},"Summary + digest, in your language",[19,447,448,449,452,453,455],{},"Two honest notes on our own row: the counts differ per surface (voice\u002Fchat\u002Fnotes 24, documents 30, website 17 languages — ",[31,450,451],{"href":187},"the breakdown and why","); and voice quality is checked on ",[31,454,197],{"href":197},", not in this table.",[39,457],{},[42,459,461],{"id":460},"the-decision-shortcut","The decision shortcut",[119,463,464,470,484],{},[122,465,466,469],{},[88,467,468],{},"Conference with an audience + human interpreters required"," → Interprefy, KUDO, Boostlingo.",[122,471,472,475,476,479,480,483],{},[88,473,474],{},"Working meeting, several people, both directions, AI"," → Wordly, DeepL Voice, ",[31,477,36],{"href":33,"rel":478},[35]," — and here, test three things specifically: the rendered voice (generic or the speaker's own), coverage beyond the audio (chat, notes, documents, the record), and quality that is ",[23,481,482],{},"published"," rather than claimed.",[122,485,486,489],{},[88,487,488],{},"Captions are enough"," → your existing Zoom\u002FTeams\u002FMeet, with the license gates in the table.",[39,491],{},[42,493,495],{"id":494},"faq","FAQ",[19,497,498,501],{},[88,499,500],{},"What is the best simultaneous translation software for meetings?","\nDepends on the setup. For an event with an audience and interpreters: Interprefy (80 AI languages, 190+ with interpreters), KUDO (60+), or Boostlingo. For a working meeting where everyone speaks, types, and reads in their own language, both directions: Wordly states 60+ languages as audio and text; InterMIND translates voice (24 languages, in the speaker's own voice), chat and notes (24), and documents (30) per participant. For captions only: Zoom (36 languages), Teams (31), or Meet, depending on your plan.",[19,503,504,507,508,511,512,515,516,198],{},[88,505,506],{},"What is the difference between simultaneous translation and simultaneous interpretation?","\nIn practice, none: \"simultaneous interpretation\" is the professional term for real-time spoken rendering, \"simultaneous translation\" the everyday one. Strictly, ",[23,509,510],{},"translation"," concerns text and ",[23,513,514],{},"interpretation"," speech — we unpacked the distinction and the types of interpretation ",[31,517,519],{"href":518},"\u002Fblog\u002Finterpretation-vs-translation","here",[19,521,522,525,526,528,529,528,532,198],{},[88,523,524],{},"Can Zoom, Teams, or Google Meet do simultaneous translation?","\nYes, with plan gates. Zoom: translated captions in 36 languages (Business Plus\u002FEnterprise or a paid add-on) and translated audio via the Voice translator (AI Companion, US cluster). Teams: captions in 31 languages (Premium\u002FCopilot) and the speech-to-speech Interpreter agent (Copilot license). Meet: translated captions (Business Standard+) and Gemini speech translation on qualifying plans. Per-platform detail: ",[31,527,209],{"href":213},", ",[31,530,531],{"href":223},"Teams",[31,533,534],{"href":232},"Meet",[19,536,537,540,541,198],{},[88,538,539],{},"Can AI simultaneous translation keep the speaker's voice?","\nMost AI tools render every speaker as the same synthetic narrator. A few state output close to the original voice: Teams' Interpreter agent can \"simulate\" the speaker's voice, Google Meet states \"a voice like yours,\" and InterMIND renders the translation in the speaker's own voice via zero-shot synthesis, in 24 languages — ",[31,542,544],{"href":543},"\u002Fblog\u002Fown-voice-translation","how that works",[19,546,547,550,551,553,554,198],{},[88,548,549],{},"How does AI simultaneous translation work?","\nA three-stage cascade: speech recognition transcribes the speech, machine translation converts it, speech synthesis renders it — continuously, a few seconds behind. Each stage fails in its own ways; we documented the production cascade stage by stage ",[31,552,519],{"href":182},", and how to evaluate any tool in this category ",[31,555,519],{"href":556},"\u002Fblog\u002Freal-time-meeting-translation",[39,558],{},[42,560,562],{"id":561},"see-it-for-yourself","See it for yourself",[19,564,565],{},"For the multilingual working meeting, the fastest test — for any tool, ours included — is to put your own meeting through it: talk, then check whether the chat, the notes, and the document came back in your language too.",[119,567,568,577,585],{},[122,569,570,576],{},[88,571,572],{},[31,573,575],{"href":574},"\u002Fdemo","Try the live demo"," — InterMIND's production voice cascade, on your own audio, in any of 24 languages.",[122,578,579,584],{},[88,580,581],{},[31,582,583],{"href":197},"Read the benchmark"," — monthly FLORES-200 scores, full per-pair distribution, no cherry-picking.",[122,586,587,592],{},[88,588,589],{},[31,590,591],{"href":556},"How to evaluate a real-time meeting translator"," — the vendor-neutral foundation behind this guide.",[39,594],{},[19,596,597],{},[23,598,599,600,528,605,528,610,528,615,528,619,528,624,528,629,528,634,528,639,528,644,528,649,528,654,528,659,528,664,528,669,674,675,528,678,198],{},"Sources: ",[31,601,604],{"href":602,"rel":603},"https:\u002F\u002Fknowledge.interprefy.com\u002Fwhat-languages-can-interprefy-ai-translate-from-and-to",[35],"Interprefy — AI translation languages",[31,606,609],{"href":607,"rel":608},"https:\u002F\u002Fwww.interprefy.com\u002F",[35],"Interprefy — platform",[31,611,614],{"href":612,"rel":613},"https:\u002F\u002Fkudo.ai\u002Fsolutions\u002Fkudo-ai-speech-translator\u002F",[35],"KUDO — AI Speech Translator",[31,616,143],{"href":617,"rel":618},"https:\u002F\u002Fboostlingo.com\u002F",[35],[31,620,623],{"href":621,"rel":622},"https:\u002F\u002Fwww.wordly.ai\u002Ftranslator-languages",[35],"Wordly — translator languages",[31,625,628],{"href":626,"rel":627},"https:\u002F\u002Fwww.wordly.ai\u002Ffaq",[35],"Wordly — FAQ",[31,630,633],{"href":631,"rel":632},"https:\u002F\u002Fwww.deepl.com\u002Fen\u002Fproducts\u002Fvoice",[35],"DeepL — Voice",[31,635,638],{"href":636,"rel":637},"https:\u002F\u002Fsupport.zoom.com\u002Fhc\u002Fen\u002Farticle?id=zm_kb&sysparm_article=KB0060844",[35],"Zoom — viewing captions in another language",[31,640,643],{"href":641,"rel":642},"https:\u002F\u002Fsupport.zoom.com\u002Fhc\u002Fen\u002Farticle?id=zm_kb&sysparm_article=KB0084896",[35],"Zoom — Voice translator",[31,645,648],{"href":646,"rel":647},"https:\u002F\u002Fsupport.zoom.com\u002Fhc\u002Fen\u002Farticle?id=zm_kb&sysparm_article=KB0064768",[35],"Zoom — Language Interpretation",[31,650,653],{"href":651,"rel":652},"https:\u002F\u002Fsupport.microsoft.com\u002Fen-us\u002Foffice\u002Fuse-live-captions-in-microsoft-teams-meetings-4be2d304-f675-4b57-8347-cbd000a21260",[35],"Microsoft — live captions in Teams meetings",[31,655,658],{"href":656,"rel":657},"https:\u002F\u002Fsupport.microsoft.com\u002Fen-us\u002Foffice\u002Finterpreter-in-microsoft-teams-meetings-and-calls-c7efe2bb-535d-42ab-a5c4-d2d91619b46d",[35],"Microsoft — Interpreter in Teams",[31,660,663],{"href":661,"rel":662},"https:\u002F\u002Fsupport.microsoft.com\u002Fen-us\u002Foffice\u002Fuse-language-interpretation-in-microsoft-teams-meetings-b9fdde0f-1896-48ba-8540-efc99f5f4b2e",[35],"Microsoft — language interpretation in Teams",[31,665,668],{"href":666,"rel":667},"https:\u002F\u002Fsupport.google.com\u002Fmeet\u002Fanswer\u002F10964115",[35],"Google Meet — translated captions",[31,670,673],{"href":671,"rel":672},"https:\u002F\u002Fsupport.google.com\u002Fmeet\u002Fanswer\u002F16221730",[35],"Google Meet — Speech Translation",", checked August 2026. Vendors expand plans and language lists over time; check their pages for the current state. InterMIND facts: ",[31,676,677],{"href":187},"per-surface language breakdown",[31,679,680],{"href":197},"live benchmark",{"title":682,"searchDepth":683,"depth":684,"links":685},"",2,3,[686,691,692,697,698,699,700],{"id":44,"depth":683,"text":45,"children":687},[688,689,690],{"id":49,"depth":684,"text":50},{"id":56,"depth":684,"text":57},{"id":67,"depth":684,"text":68},{"id":80,"depth":683,"text":81},{"id":109,"depth":683,"text":110,"children":693},[694,695,696],{"id":116,"depth":684,"text":117},{"id":147,"depth":684,"text":148},{"id":201,"depth":684,"text":202},{"id":237,"depth":683,"text":238},{"id":460,"depth":683,"text":461},{"id":494,"depth":683,"text":495},{"id":561,"depth":683,"text":562},"2026-08-13",false,"\"Simultaneous translation\" covers three realities: the interpreter in a booth, remote simultaneous interpretation (RSI), and real-time AI translation. This guide separates the three, compares the documented tools — Interprefy, KUDO, Wordly, DeepL Voice, Zoom, Teams, Google Meet, InterMIND — and asks the question comparison posts skip: how much of the meeting actually comes back in your language?","md","seo",null,"\u002Fblog\u002Ftraduction-simultanee.svg",{},true,"\u002Fblog\u002Ftraduction-simultanee","wave-rsi",{"title":6,"description":703},"blog\u002Ftraduction-simultanee","qYkUeEKK3T9V6aHKdvp3PLuQ00RLNugqDma2mhZg2fw",[716,721],{"title":717,"path":718,"stem":719,"description":720,"children":-1},"How to bring your Telegram chats into InterMIND — and read them in your own language","\u002Fblog\u002Ftelegram-ingest-how-it-works","blog\u002Ftelegram-ingest-how-it-works","The InterMIND Telegram bot mirrors your groups, relays your one-on-one chats, and keeps anything you forward — one-way, with no dialogs to configure. The full guide: connecting your account, the three routing rules, what exactly lands in your channels, and what stays private.",{"title":722,"path":723,"stem":724,"description":725,"children":-1},"How do you see the room while you're presenting?","\u002Fblog\u002Fpresent-and-edit-at-the-same-time","blog\u002Fpresent-and-edit-at-the-same-time","Share your screen and you present blind: the faces, the chat, the raised hands go behind what you're showing. The usual fixes trade one loss for another — an overlay covers your content, a second monitor still drops the roster the moment slides go full screen. What each platform documents, and the one surface that isn't in the trade."]