Automatic Speech-to-Text
Calls are transcribed with a model trained on Turkish contact centre language, speakers are separated, and the entire content becomes searchable.
Voicentra turns contact centre recordings into text and analyses what was said in terms of quality, performance, customer experience and sales. Not a handful of sampled calls but every single one is evaluated. Audio is processed on InfinityQ infrastructure; in enterprise deployments it never leaves your own servers.
Hello, I am calling from Example Insurance. Your motor policy expires in 5 days and I can help you renew it.
00:02Thanks, I usually do it myself through the app.
00:11All right then, have a good day.
00:16AI summary
The agent called to remind the customer about a policy renewal. When the customer objected with “I do it myself”, the agent ended the call without offering a campaign or additional cover. The sales opportunity was not pursued.
Recording and transcript processed on your own infrastructure · 0 external services
A single call carries the customer's name, identity number, account activity and complaint content all at once. Sending that data abroad for analysis means exporting the very information you are meant to protect. Voicentra removes that dependency entirely.
Speech recognition and analysis run on models developed by InfinityQ and trained on Turkish contact centre language.
Recordings and transcripts are never passed to third-party services at any stage.
In enterprise deployments the whole stack moves onto your servers; recordings never leave your network.
Once recordings are connected, the process runs in four steps and repetitive manual listening disappears.
Contact centre audio or call data is integrated into the platform.
Calls are transcribed, speakers are separated, and topic and sentiment analysis is performed.
Performance reports are produced by department, agent and customer behaviour.
Development areas are identified for training, quality improvement and sales processes.
The assessment your quality team makes by listening is produced automatically against defined criteria. The result is not just a score, but which behaviour affected that score and how.
The headings on your own quality form are loaded into the system; scoring follows your standard rather than being squeezed into a fixed template.
Next to every score is the behaviour that was assessed. Feedback conversations with agents rest on concrete evidence.
Not one percent of calls but all of them are evaluated, so rare problems also enter the statistics.
The analysis of every call accumulates by agent, team and period. Managers see rankings, complaint trends and risky behaviour on one screen; agents follow their own progress week by week.
| # | Agent | Comms | Prof. | Avg. score |
|---|---|---|---|---|
| 1 | Agent A | 62.8% | 76.1% | C69.4% |
| 2 | Agent B | 59.8% | 76.4% | C68.1% |
| 3 | Agent C | 65.3% | 67.8% | C66.6% |
| 4 | Agent D | 56.7% | 74.3% | C65.5% |
| 5 | Agent E | 60.2% | 68.4% | D59.7% |
Rankings are built from communication skill, professionalism and department-level criteria; the letter grade follows your organisation's own thresholds.
Complaint themes extracted from call content are clustered weekly, so operations can see which problem is growing before a single complaint form is filed.
Your own call script is checked criterion by criterion: greeting, clarifying the issue, offering a solution, closing and follow-up. A missed step is linked to the call where it was skipped.
One agent requested card details from customers in 2 calls during the selected period. The relevant calls and timestamps were escalated to management.
Topic headings are learned from your products and processes. Rules defined for non-compliant or risky behaviour generate automatic alerts.
Every Monday morning each agent reads their own week: which criteria rose, where they slipped, one sentence to try this week and two small goals. The report never compares an agent to anyone else; the only benchmark is last week's version of themselves.
Feedback conversations happen with ready-made reasoning, without listening to recordings one by one.
A development area is not an abstract note but a timestamped example and an applicable suggestion.
Empathy and tone · 9.1/10 ↑ +0.6Lowering your tone and slowing your pace on complaint calls resolved the tension on its own in three separate conversations.
Hold notifications · 5.2/10 ↓ −0.8You left the line silent for an average of 40 seconds while looking up policies; most of your low scores came from here.
Looking up your policy will take about half a minute, so I am placing you on a short hold — I am still here.
The chain that starts with audio completes as text, analysis and reporting.
Calls are transcribed with a model trained on Turkish contact centre language, speakers are separated, and the entire content becomes searchable.
Satisfaction, tension and sales-opportunity signals are measured separately on the customer and agent sides.
Communication skill, professionalism and resolution effectiveness are scored against your own criteria, with the reasoning behind every score visible.
Greeting, clarifying the issue, offering a solution, closing and follow-up are audited step by step; a skipped step is linked to the moment it was missed.
Whether an offer was made, how the objection was handled and whether the sale closed is reported for every call.
Behaviour that breaches regulation, such as asking for card details, is caught by defined rules and escalated to management immediately.
Rankings, complaint forecasts and topic distribution are presented comparatively by department, team and period.
Every agent reads their own week: which criteria rose and fell, one sentence to try and two small goals.
In every operation where call volume is high and quality has to be measured.
Automates quality assurance by analysing calls against your quality criteria.
Makes sentiment, complaint and satisfaction signals in calls visible.
Detects offers, objections, closings and cross-sell opportunities, and feeds them back to the sales team.
Communication quality, process compliance and development areas are reported per agent.
Identifies where agents fall short so training can be backed by data.
Produces contact centre performance reports by department, team and process.
Voicentra does not require you to install a new system; it reads recordings where they already live and writes results back into the systems you use.
Call analyses are linked to customer records; a summary of the previous call appears on the agent's screen.
Works directly with contact centre platforms, recording systems and data platforms.
A standard API structure enables fast and secure integration into enterprise systems.
Contact centre volumes differ enormously between organisations; a few hundred calls a month and hundreds of thousands do not fit the same package. That is why Voicentra is priced through a proposal based on your volume.
The total call duration analysed each month is the main component of the price.
The choice between InfinityQ cloud, private cloud and on-premise installation shapes the cost.
CRM and recording system connections, plus defining quality criteria specific to your organisation.
In a short call we clarify your monthly volume, your recording infrastructure and your deployment preference, then prepare a proposal around them. You can see the system live on examples from your own recordings.
Frequently asked questions
Watch transcription accuracy and quality scoring live on your own calls. Let us clarify your volume, deployment model and integration needs together in a short conversation.