Speech Analytics: The Crucial Importance of Speech-to-Text 

Vatis Tech transforms call centers with advanced speech analytics. Our speech-to-text API uses a special deep learning method to accurately convert speech into text. With more than 90% accuracy, truly human-like! We catch every word, mood, and trend, making services better and customers happier. Every customer call is a chance to learn and improve.


See For Yourself

Our automatic speech recognition technology ensures a high-level of accuracy for all speakers, converting written numbers into digits.It recognizes entities, such as individual and company names, dates, and locations within your audio files.


Speaker 1

Thank you so much, Mr. Fairbase. Can you please provide your national insurance number?


Speaker 2

National insurance number is 369-4456.


Speaker 1

Wonderful. Also, Mr. Fairbase, can I please have your date of birth?


Speaker 2

My date of birth is 9-26-1995.


Speaker 1

Thank you, George Washington. What is your date of birth?


Speaker 2

It is July 1st, 1968.


Speaker 1

Thank you very much. And can you confirm the address that we have for you here in the system?


Speaker 2

The address is 2898 Atwood Terrace, Columbus, Ohio, 432-24


Speaker 1

All right. We can have your Wi-Fi installed by April 25th.


Speaker 2

Let me see. April the 25th. I believe that's a Monday. You know what? I am working that day, Monday. Do you have... I am off on the 27th. If you can have a technician come out.


Speaker 1

Let's see. 27th. Yeah, I can definitely schedule an appointment for that day. Did you have a preferred time on the 27th you wanted us to come in.


Speaker 2

Yeah. How about in the morning, 9 o 'clock?


Speaker 1

9 o' clock, perfect. So your appointment is set and there is a two-hour window.


Key Features of Our Speech Analytics Solution

High Accuracy Call Transcription

Our automatic speech recognition (ASR) technology understands and transcribes speech fast and with over 90% accuracy rate. 

Talk and silence pattern analysis

Studying how much people talk and when they're quiet helps us understand their feelings and how happy they are. We also look for specific words to see what the agent did and decide what needs urgent focus.

Analyze by keywords 

Find key words and related terms to figure out the risk level in certain types of calls.

Speech adherence tracking

The software checks how closely a contact center agent follows the script, comparing what they say to the planned words.

Case Study

1import requests
3url = "https://vatis.tech/api/v1/files/transcribe/file"
5payload = {
6 'language': 'ro_RO'
9files = [
10 ('file', open('/path/to/your_file.mp4','rb'))
12headers = {
13 'Authorization': 'Bearer *your_api_key_here*',
16response = requests.request("POST", url, headers = headers, data = payload, files = files)

API infrastructure

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. 


We've prepared a short video tutorial to showcase the seamless functionality of our speech analytics software:

The Comprehensive Benefits of Speech Analytics

With Vatis Tech’s Speech Analytics tool, call centers work smarter. You'll see what's working and what's not, helping agents do their best and customers leave satisfied. Here are the most relevant and impactful benefits of using speech analytics:

Compliance Monitoring

Keep track of rules to lower legal issues by spotting and fixing actions that don't follow the rules.

Customer Insights

Understand what customers want and feel by analyzing how they talk.

Quality Assurance

Check if agents stick to their scripts by reviewing call texts to find deviations and guide training.


Make things run smoother by spotting slow processes and making fixes, like creating self-help options for common questions.

Sales Optimization

Learn from the best sales calls to improve sales strategies.

Real-time Monitoring

Watch customer calls as they happen to quickly solve problems or give extra help.

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Frequently Asked Questions

Can’t find the answer you're looking for? Reach out to our Support team.

What is speech analytics?

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Speech analytics is the process of analyzing voice recordings to extract insights. It identifies patterns, emotions, keywords, and sentiments in customer service calls, helping businesses improve service, monitor compliance, and understand customer needs. By analyzing how and what customers are saying, businesses can make informed decisions to improve their products, services, and customer interactions.

Why use speech analytics?

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Speech analytics is used to gain customer insights, improve service quality, ensure compliance, enhance employee training, identify trends, resolve issues quickly, and support data-driven business decisions.

Is NLP and speech analytics the same?

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No, NLP (Natural Language Processing) and speech analytics are not the same, although they are related fields. NLP (Natural Language Processing) is an AI field focused on enabling computers to understand human language, while speech analytics is an application of NLP that analyzes spoken language, particularly in business settings, for insights and trends.

Is NLP and speech recognition the same?

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No, NLP (Natural Language Processing) and speech recognition are not the same. NLP deals with understanding and interpreting human language by computers, while speech recognition focuses specifically on converting spoken words into text.

Is using speech analytics in a call center more beneficial compared to the traditional methods?

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Yes, using speech analytics in a call center is more beneficial compared to traditional methods due to several reasons:

  • Enhanced Customer Insights: Speech analytics can provide deeper insights into customer needs, preferences, and pain points by analyzing call content.
  • Quality Assurance: It enables more comprehensive and efficient monitoring of call quality and agent performance compared to manual review processes.
  • Operational Efficiency: Automatic analysis of calls saves time and resources, allowing for quick identification and resolution of issues.
  • Data-Driven Decisions: The ability to analyze large volumes of calls provides a robust data set for informed decision-making and strategy development.
  • Improved Compliance: Speech analytics can help in ensuring adherence to regulations and standards by identifying non-compliant practices.
  • Employee Training and Development: Insights from call analyses can be used for targeted training and feedback for customer service representatives.
  • Trend Identification: It helps in spotting trends and recurring issues in customer interactions, leading to proactive problem solving.

Traditional call center methods, prior to speech analytics, included random call sampling, live call monitoring by supervisors, evaluations using standardized checklists, post-call customer surveys, agent self-assessments, and analysis based on basic call metrics like duration and volume. These methods were very time-consuming and less comprehensive compared to modern speech analytics.

How can I increase the accuracy of audio file transcription?

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To get the best possible results from our transcription service, please follow these tips: use high-quality recording equipment, record in a quiet environment, speak clearly and at a consistent volume, avoid background noise, if possible, use a microphone that is designed for speech recognition, if you are recording multiple people, try to keep them all in the same room and at a similar distance from the microphone, if you are recording a conversation, try to avoid overlapping speech.

How do you keep my files confidential?

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Your files are encrypted and protected from unauthorized access. Only you have the encryption key, so no one else can read your files. We use bank-grade security and have strict data storage policies to keep your files safe.

Experience the Future of Speech Recognition Today

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