Rated 4.9/5 by our users
98%+ accuracy is not a marketing number. We benchmark our models datasets weekly. When we say 98%, we mean it. Our LLMs are trained on diverse audio (accents, background noise, crosstalk) because real conversations aren't recorded in a studio.

Convert any video to text in minutes. Upload an MP4, MKV, AVI, or MOV file and Vatis Tech's AI extracts every spoken word into an accurate, timestamped transcript. Speaker diarization automatically labels who said what. Ideal for turning lectures, webinars, interviews, and meetings into searchable text.

Our video to text converter processes videos of any length. A 1-hour video is fully transcribed in about 1 minute. We support 50+ languages and can handle videos where speakers switch between languages mid-conversation the AI detects the change and transcribes each segment in the correct language automatically.




Edit, export, or add subtitles. Review the transcript in our editor. Export as TXT, Word, PDF, or generate SRT/VTT subtitles for your video platform.
Here's a comparison between Vatis and other transcription tools.
Our users are people who value clarity, speed, and intelligence :)

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We support all major video formats: MP4, MKV, AVI, MOV, WebM, WMV, FLV, and MPEG. Video files can be up to 5GB and 10 hours long.
We achieve around 90% accuracy, similar to a human transcription service. Improve your transcripts even further by editing for perfect results within our platform.
Yes! Get started with 60 minutes of free transcription to try our accurate and user-friendly software. Take advantage of our automatic transcription technology by starting your free trial today.
Our speech recognition software makes it easy to search for keywords and edit your text directly. This helps you find, review, and refine important information quickly.
Yes, we include timestamps with your transcript. This helps you pinpoint specific moments in the original audio or video file.
Follow these tips for top-notch results: Record with good quality equipment, speak clearly and minimize background noise, use a microphone suitable for speech recognition. If recording multiple speakers, keep them at a consistent distance from the microphone.
Read the documentation, try for free, tell us how it goes.