AI-powered, automated, and super-accurate speech recognition infrastructure tool for all of your audio and video data.
Made with ❤️ and ☕ in Bucharest
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At the heart of Vatis Tech lies a state-of-the-art Speech-to-Text engine, finely tuned to deliver highly accurate transcripts, for human-like conversational AI voicebots. An ASR solution that works in real-time, with an accuracy of over 95%
Our automatic speech recognition technology, essential for powering voicebots, handles both pre-recorded and live transcriptions, ensuring fast and accurate communication.
18 languages supported for transcription, and 30 languages for translation
Automatic Speech Recognition powered with Audio Intelligence that lets you identify and label different topics within conversations.
Accurately captures and differentiates speakers in multi-source dialogues using speaker diarization. Each voice is clearly identified.
Like people and company names, dates, or locations from conversations. Our solution automatically converts letter-written numerals into digits.
We are able to handle large volumes of audio data. You can test the infrastructure’s accuracy and scalability by performing extensive load testing and simultaneously sending thousands of files for transcription.
Tailored speech-to-text models can achieve an accuracy improvement ranging from 10% to 20%, outperforming generic models. Learn more
Top-tier automatic speech-to-text services at a very competitive price. We make no compromises on quality or turnaround time.
1import requests
2
3url = "https://vatis.tech/api/v1/files/transcribe/file"
4
5payload = {
6 'language': 'ro_RO'
7}
8
9files = [
10 ('file', open('/path/to/your_file.mp4','rb'))
11]
12headers = {
13 'Authorization': 'Bearer *your_api_key_here*',
14}
15
16response = requests.request("POST", url, headers = headers, data = payload, files = files)
17
18print(response.text.encode('utf8'))Are you dealing with a large volume of video data? Integrate Vatis Tech's Speech-to-Text APIs easily into your application using just one API call and easy documentation.
By leveraging Natural Language Processing (NLP), these voicebots streamline customer service processes, drastically reducing the time needed to resolve issues. This results in a smoother, more efficient customer experience.
The automation of repetitive tasks by AI chatbots significantly cuts down on operational costs, making the system both efficient and economically beneficial.
These systems are designed to handle a high volume of customer interactions simultaneously, ensuring consistent service quality even during peak times.
The ability to collect and analyze data from interactions enhances conversational AI platforms, providing valuable insights that can inform and improve business strategies.
With advanced algorithms, voicebots deliver reliable and consistent responses, mimicking human-like conversational quality and thereby maintaining customer trust.
The use of Natural Language Understanding (NLU) allows for more dynamic and engaging dialogues with users, keeping their attention and improving their overall experience.
These voicebots are designed to integrate seamlessly across various digital platforms, facilitated by sophisticated conversational flows and AI systems, thus broadening accessibility and user reach.
Can’t find the answer you're looking for? Reach out to our Support team.
Conversational AI refers to the technology that enables machines to understand, process, and respond to human language in a natural way. It combines natural language processing (NLP), machine learning, and AI algorithms to facilitate real-time dialogue between users and digital devices.
Voicebots use speech recognition to understand spoken language, NLP to interpret the meaning, and then formulate responses based on a vast knowledge base or pre-defined rules. They can convert text back into speech to reply in a way that mimics human conversation.
Businesses can enhance customer support, automate service interactions, gather valuable customer insights, improve engagement, and save on operational costs by using conversational AI platforms.
Yes, advanced conversational AI systems are equipped with natural language understanding (NLU) capabilities that allow them to interpret and respond in multiple languages, making them versatile tools for global customer service.
AI-powered chatbots and voicebots can provide quick, consistent, and personalized responses to customer queries, improving the efficiency of customer interactions and often enhancing customer satisfaction.
While traditional chatbots typically operate based on a set of pre-defined rules, conversational AI platforms leverage AI, machine learning, and NLU to enable more dynamic, context-aware, and human-like conversations.
For complex queries, conversational AI can either provide the most relevant information from its knowledge base or escalate the interaction to a human agent, ensuring that the customer's needs are adequately addressed.
Yes, reputable conversational AI platforms are designed with security and privacy considerations, ensuring customer data is handled securely and in compliance with relevant regulations.
Most conversational AI solutions offer integration capabilities with various business systems and platforms, allowing for seamless data exchange and enhancing the overall functionality.
Consider factors such as language support, integration capabilities, customization options, scalability, and the platform's track record in delivering effective conversational experiences.
AI-powered, automated, and super-accurate speech recognition infrastructure tool for all of your audio and video data.
Made with ❤️ and ☕ in Bucharest
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