Vietnamese and Thai break meeting tools in opposite ways, and both come down to marks a European-first pipeline likes to throw away. In Vietnamese, the diacritics are the word — strip the tone and vowel marks and ma could be six different things. In Thai, there are no spaces between words at all, so the tool has to decide where one word ends and the next begins before it can translate anything. Get either wrong and the transcript is ambiguous at best and meaningless at worst.
If your team includes a Hanoi, Ho Chi Minh City, or Bangkok office, here's what actually decides whether the translation and the transcript are usable.
Vietnamese: the diacritics are the word
Vietnamese is written in the Latin alphabet, which fools tools into treating it like a European language. It isn't. The marks carry two separate kinds of meaning: tone (à á ả ã ạ — six tones) and vowel quality (ă â ê ô ơ ư, plus đ). They aren't accents you can drop for convenience — they distinguish words. The textbook example is ma má mà mả mã mạ: same letters, six unrelated meanings (ghost, mother, but, tomb, horse, rice seedling).
So a pipeline that ASCII-strips Vietnamese — or a recognizer that doesn't restore the right marks from the audio — produces a transcript that a native reader has to decode, not read. The captions have to land the tone and vowel marks correctly in real time, and the transcript has to keep them. "Supports Vietnamese" means nothing if it hands back Toi an com instead of Tôi ăn cơm.
Thai: there are no spaces, so segmentation is everything
Thai is written without spaces between words (it uses spaces only to break clauses or sentences). Before a tool can translate a Thai sentence, it has to segment it — decide where each word starts and ends — and that's genuinely ambiguous: the same run of characters can split more than one way, with different meanings. Wrong boundaries produce wrong words, and everything downstream inherits it.
On top of that, Thai is tonal (the tone is determined by tone marks and the consonant class), and its vowels can sit before, after, above, or below the consonant they attach to. A recognizer built for left-to-right, one-symbol-after-another scripts has to do real work here. Treating Thai as "just another language code" is how you get a transcript that's confidently wrong.
Why "supports Southeast Asian languages" isn't enough
Both languages are tonal and lean heavily on context (subjects get dropped, like in Japanese and Korean). A tool can technically "support" Vietnamese while quietly stripping its diacritics, or "support" Thai while mis-segmenting half the sentences, and still put the language on its feature list. The only thing that tells you the truth is watching real output on a real call.
How to do it with Sageio
- Add
bot@sageio.netto your Google Meet calendar invite. It joins on its own — no extension, nothing to install. - Each participant picks their caption language. Vietnamese and Thai are first-class — the Hanoi or Bangkok team reads their own language, the other office reads English, at the same time. (Sageio translates into 20+ languages.)
- Everyone speaks naturally. Translated captions appear in about two seconds.
- Afterward, a searchable transcript and an AI summary arrive within about five minutes, shared at the host's discretion — with the diacritics and word boundaries intact, so the record is actually readable later.
(Today this runs on Google Meet; Zoom and Microsoft Teams support is coming soon.)
How to test any tool in five minutes
For Vietnamese, have someone say a short sentence and read the captions: are the tone and vowel marks present and correct, or is it bare ASCII? For Thai, look at a transcript line and check whether the word boundaries make sense to a native reader, or whether phrases run together wrongly. Either failure means the tool is treating the language as Latin-with-extras rather than handling it on its own terms.
Is it private?
For anything that joins your meetings: Sageio doesn't use your meeting content to train AI models, and its AI vendors are contractually restricted from doing the same. Audio is processed in memory and discarded — only the text transcript and summary are kept, encrypted, in the region you choose (US, EU, or APAC). Enterprise customers can self-host the entire stack.
Frequently asked questions
Why do Vietnamese diacritics matter for meeting translation?
Because they distinguish words, not just pronunciation. Vietnamese marks encode tone and vowel quality, so ma má mà mả mã mạ are six different words. A tool that drops them — or restores the wrong ones — produces a transcript a native reader has to guess at. Correct support keeps every mark, live and in the record.
Why is Thai harder to transcribe than it looks? Thai is written with no spaces between words, so a tool has to segment the sentence before it can translate, and the boundaries are ambiguous — the same characters can split into different words with different meanings. Thai is also tonal with vowels placed around the consonant, so weak speech-to-text gets it confidently wrong.
Does "supports Southeast Asian languages" mean it does Vietnamese and Thai well? Not necessarily. A tool can list the languages while stripping Vietnamese diacritics or mis-segmenting Thai. The only reliable check is reading real output from a real call — marks present and correct for Vietnamese, sensible word boundaries for Thai.
How fast are the translated captions? About two seconds, fast enough to keep a live conversation moving, with a searchable transcript and summary within about five minutes after the call.
What does it cost to try? Every plan starts with a free 60-minute trial, no credit card required. After that, Professional is $49/month and Teams is $99 per seat/month (annual billing includes 2 months free); Enterprise is custom-priced.
If your team works in Vietnamese or Thai, the honest test is to let a native speaker read the live captions and the transcript on one real call and tell you whether the marks and the word breaks are right. Add the bot to your next meeting and let them judge.