Sonix automatically transcribes your Vietnamese AIFF files to text in minutes. Access industry-leading artificial intelligence and the days of manually transcribing your Vietnamese AIFF files are long gone. Vietnamese speech to text: Sonix has been independently reviewed the most accurate Vietnamese automated transcription, translation, and subtitling platform.
Follow these six easy steps to quickly and easily convert your Vietnamese AIFF files to text:
If you don't have one, you can sign up for Sonix's free account—30 minutes of free transcription/translation.
In Sonix, click “Upload” and locate the Vietnamese AIFF file on your computer.
Select Vietnamese in the dropdown that asks 'What language was spoken?.' Then, click the “Transcribe” button.
Sonix automatically transcribes your Vietnamese AIFF file and converts it to Vietnamese text.
Edit your Vietnamese transcript by typing directly into your browser to correct any words that were not transcribed perfectly.
Export the Vietnamese text to any format you want including MS Word, PDF, subtitles, or a simple text file.
Start by improving the quality of the Vietnamese AIFF file that you upload to Sonix. Please use high quality recording equipment, recording in a quiet environment, and ensure that your speakers are speaking clearly to ensure that your transcript is as accurate as possible.
Yes, please do not over-compress or over-filter the audio track of your Vietnamese AIFF file. By uploading a high quality version of your audio, we can give you the best level of accuracy.
Yes, we do! You can convert the following file types in Vietnamese with Sonix:
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Awesome and I was really shocked when I saw how carefully my mp3 file was transcribed!!
Transcription was almost perfect!!
Sonix is light years ahead of all the other solutions I researched and tried!
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I am completely blown away by this platform. I am already telling everyone about it!
Sonix uses advanced transcription and translation algorithms to convert your Vietnamese AIFF files to text both fast and accurate.
AI transcription and translation in 53+ languages.
