Turn Vietnamese audio
into text you can trust.

A different approach to Vietnamese transcription.

Vietnamese is spoken by more than 85 million people in Vietnam and by large diaspora communities across the US, Australia, and Europe. It is a tonal language, six tones in the northern dialect, written in a Latin-based script with diacritical marks that most transcription tools were never built to render correctly. Northern, central, and southern dialects also shift vocabulary and pronunciation enough that a system tuned on one region can struggle badly on another.

Where Vietnamese transcription usually breaks down

Most transcription tools are tuned for a handful of high-resource languages, and Vietnamese rarely gets the same attention. Tone marks and diacritics go missing, homophones that differ only by tone turn into the wrong word entirely, and the accent shift between Hanoi, Da Nang, and Ho Chi Minh City throws off engines trained on a single region. Teams end up correcting entire passages by hand, which erases most of the time the tool was supposed to save.

Reading the recording, not just the words

Speak AI transcribes Vietnamese audio and video with speaker labels and timestamps, then reads the recording itself: who is speaking, when they switch between Vietnamese and English mid-sentence, and how the delivery changes across a long call or interview. Names, terms, and callback details are extracted into structured fields your team can search and query. Then you can ask across your entire Vietnamese archive with AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace.

• Vietnamese audio and video, transcribed with speaker labels and translation into English or another language.
• Diacritics and tone marks preserved accurately, across northern, central, and southern pronunciation.
• Captions and subtitles (SRT, VTT) generated straight from the timestamped transcript.
• Export to Word, PDF, TXT, CSV, or JSON, depending on how your team needs to use it.

From one file to a searchable archive

The result is a Vietnamese archive that behaves like a well-run English one. Interviews, hearings, and support calls become searchable text instead of a folder of audio files nobody has time to relisten to, and dashboards you can customize and white-label track themes and volume across your Vietnamese recordings over time. Interpreting.com put multilingual assessment recordings through this kind of workflow, using embedded recorders spanning multiple languages, without hiring a reviewer for each one.

And because Vietnamese recordings rarely live in isolation from the rest of your work, the same engine scores calls and coaches teams on the same criteria, connecting Vietnamese transcription to call scoring and the wider 知识库 your team already runs on.