Transcribe multilingual conference calls
Global teams record in Spanish, Japanese, German and more — one workflow turns every region's calls into transcripts the whole company can read.
By Anubhav Jain, Trustample founder · Updated July 2026 · Claims verified against the live product
Free: 60 min per 30 days, files up to 30 min / 50 MB · Paid plans: 10 to 100 hrs, files up to 2 GB. Big video? Upload just its audio track — same transcript, much faster upload.
Encrypted in transit · audio & video auto-delete in 30 days · never used to train AI
Optional settings
Set this for the most accurate result on quiet or mixed audio.
Get a second copy translated into another language (Pro).
Uncommon words the AI might misspell — list them so they come out right.
Global teams don't hold meetings in one language — the Madrid office records in Spanish, Tokyo in Japanese, the all-hands in English with accents from everywhere. Trustample handles this per recording: pick the call's language from 16 options (Spanish, French, German, Portuguese, Japanese, Chinese, Korean, Russian, Arabic, Thai, Filipino and more), upload the recording from Zoom, Meet, Teams or anywhere else, and get a native-script transcript with speaker labels on paid plans.
Now the honest engineering truth every vendor should tell you: AI transcription works per language, one dominant language per recording. English loanwords inside a Spanish call transcribe fine — that's normal speech — but a meeting that flips whole sentences between languages is genuinely hard for every model on the market. The playbook that works: transcribe each call in its dominant language, and when a meeting has clean halves (a German presentation followed by English Q&A, say), split the file at the switch and transcribe each half in its own language. Two accurate transcripts beat one garbled one.
The unification step is where Pro earns its place for international teams: tick "Translate transcript to English" and each foreign-language call comes back with its native transcript and an English version stored side by side — auditable, not black-box. Suddenly the Spanish sales calls, the Japanese partner meeting and the French customer interview are all readable at HQ, searchable in one dashboard, and answerable via cross-transcript questions.
How it works
- 1Set 'Spoken language' to the call's dominant language — per recording, not per account.
- 2Upload the recording; on Pro, set 'Translate transcript to' English in the same upload.
- 3Read both versions side by side, verify names against the audio, export in either language.
Frequently Asked Questions (FAQs)
Can I transcribe multilingual meeting recordings from Zoom, Teams or Meet?
Yes — any meeting recording saved as a file works, whatever platform produced it. Set the recording's dominant language, upload the MP4 or M4A, and on Pro translate the result to English. The platform doesn't matter; Trustample transcribes the file, so a German Teams call and a Japanese Zoom call go through the same way.
Can one call that mixes two languages be transcribed?
Pick the dominant language — occasional words and phrases from the other language usually survive fine. Sustained sentence-level switching degrades every AI model's output; if the meeting has distinct single-language sections, splitting the file at the switch and transcribing each part separately gives far better results than hoping.
Which languages are supported for meetings?
16 spoken languages: English, Spanish, French, German, Portuguese, Italian, Dutch, Russian, Chinese (Mandarin), Arabic, Filipino, Japanese, Korean, Thai, Turkish and Indonesian — with native-script output (kanji, Cyrillic, Arabic script and so on), not romanization.
Can all the transcripts end up in English?
On Pro, yes — each recording transcribes in its own language first, then translates to English, and both versions are stored together. The two-step design means a misheard word is a catchable error in the original transcript, not an invisible one buried in the English.
Our calls are in English but with strong accents — do we need any of this?
No — accented English is still English; just set the language to English rather than auto-detect. Modern models handle accents well. The multilingual workflow is for calls actually held in another language.
Do speaker labels work across languages?
Yes — diarization separates voices by sound, not language, and runs on every paid plan. Rename Speaker 1 to a real name once and it applies through the whole transcript, whatever the language.
An honest note: No AI on the market reliably transcribes rapid sentence-level code-switching in one pass — we'd rather hand you the split-the-file playbook than pretend otherwise. And machine translation of the transcript is a working draft for internal use; contracts and public statements still deserve a bilingual review.
Related pages
Bot-free Zoom transcription
Spanish Audio to EnglishThe per-language deep dive
How to Translate AudioThe two-step workflow, explained
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