AI-powered, automated, and super-accurate speech recognition infrastructure tool for all of your audio and video data.
Made with ❤️ and ☕ in Bucharest
So accurate a human could have done it.
Transcribing takes only a few minutes and you'll get an interactive transcript that you can easily search for keywords or phrases.
With Vatis Tech AudioText Editor, the audio/video is pinned to the words. With a simple click on the word or phrase, you can quickly jump to that exact moment and listen to the surrounding context.
With real-time transcription, you can have the speech automatically transcribed into a lecture or a course report.
Our solution is 4x more affordable compared to other speech-to-text solutions on the market and Big Tech.
Create your account for free. Every trial account comes with 60 minutes free transcription. No credit card required.
Upload your video or audio recordings, or research work, to our secure servers. We accept most file formats including mp3 and mp4.
Your transcript will be ready in minutes. Then, easily adjust your transcript before analyzing the content for key insights or summarize transcripts.
Use our real-time API to transcribe your live audio streams with an average response time of 420 milliseconds — almost instant.
Transcribe pre-recorded audio or video files with high accuracy using our highly scalable infrastructure.
Lotta slang? No problem. Boost the accuracy of your transcript using a custom vocabulary specific to your use case or product.
You don't have to worry about file format or sampling rates we can handle anything — from MP3 to FLAC, MP4 to MKV, and everything in between.
When it's time to wrap up, effortlessly export your polished transcript into PDF, DOCX, TXT, or SRT formats.
Want to delete, add, or edit the text from your transcript? It’s all possible, including automatic punctuation and capitalisation.
Identify a wide range of entities like people and company names, dates, or locations from your audio files.
Automatically convert letter-written numerals to number-written numerals.
Automatically detect the number of speakers in your audio file and associate it with the words.
Swearing is rarely appropriate — we automatically filter out the bad words out of your transcript. And yes, you can turn it off if needed.
The entire transcript has an associated timestamp for each word, so you can easily find what you need, quick.
Build your custom model starting from our pre-trained models and using your specific data. Easily create datasets to improve your speech models from your raw data.