
AI-powered, automated, and super-accurate speech recognition infrastructure tool for all of your audio and video data.
Made with ❤️ and ☕ in Bucharest
Alin Romașcan
Chief Operating Officer, Antena 3 CNN
when transcribing high-quality audio from media broadcasting.
Our speech-to-text technology is powered by state-of-the-art AI, which allows us to transcribe speech with near-human accuracy.
1 hour-long file gets fully transcribed in about 15 minutes. A whole interview transcribed in 15 minutes, imagine that — it's like magic, but without the wand-waving and rabbit-pulling.
To top it all off, it gets better at processing your files over time. Like a human, but better.
USE CASES
FEATURES
Vatis features on-cloud or on-premise APIs for easy integrations, support for real-time transcription, or custom AI models, alongside a plethora of features designed to do the work for you, and supercharge your workflow.
Transcribe audio and video with jaw-dropping precision and lightning-fast speed. Our real-time API for live audio streams provides a blink-and-you'll-miss-it response time of 420 ms. 10 times faster than handwriting!
COMPETITION
That’s how accurate our competitors are, on average. And they’re also 4x more expensive.
VS
Vatis is more accurate even without any training, and it gets even better over time.
Discern the number of speakers in your audio file and pair them with their spoken words. Recognize entities such as names of individuals, companies, dates, or locations within your audio files, with remarkable precision.
That’s how much audio we’ve processed so far. That’s more than 8 years worth of audio files. And it’s counting.
Our API tackles everything, audio or video, from MP3 to FLAC and MP4 to MKV with ease. And when it's time to wrap up, effortlessly export your polished transcript into PDF, DOCX, TXT, or SRT formats like a pro.
API
Integrate Vatis Tech's Speech-to-Text APIs into your application in minutes with a single API call and easy-to-follow API docs.
import requests
url = "https://vatis.tech/api/v1/files/transcribe/file"
payload = {
'language': 'ro_RO'
}
files = [
('file', open('/path/to/your_file.mp4','rb'))
]
headers = {
'Authorization': 'Bearer *your_api_key_here*',
}
response = requests.request("POST", url, headers = headers, data = payload, files = files)
print(response.text.encode('utf8'))
Victor Ilie
Investigative Reporter, Recorder
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