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Drive AI Services with DaVinci

Real-Time Transcription for Contact Centers

Works with your existing telephony. No migration required.

Estimate Your Real-Time Transcription Costs

What is Real-Time Transcription?

Real-time transcription converts spoken words into text during a live conversation. That single distinction is what makes transcription a live signal rather than a record. DaVinci captures audio from your existing phone system, routes it through your chosen speech-to-text engine, and distributes structured output to every platform that needs it, simultaneously, without duplicating cost.

real-time transcription costs
Why it matters

The Problems Real-Time Transcription Solves

Real-time transcription powers a contact center that shifts from reactive to proactive. Agents spend less time reconstructing what was said and more time resolving what matters. Supervisors gain real-time visibility into every interaction. And the AI features your organization is investing in finally have the live, structured data they need to work correctly.

Siloed Conversations

When voice, chat, and video live in separate systems, context gets lost at every touchpoint. Agents start from scratch, customers repeat themselves, and supervisors can’t see the full picture. DaVinci creates a consistent, searchable transcript record across every channel.

Manual Notetaking

Agents can’t truly listen while they’re writing. Attention splits, details get missed, and after-call work piles up. Automated transcription eliminates that burden, agents stay present, after-call work shrinks, and supervisors get records they can actually trust.

Agents Flying Blind Mid-Call

Without a live transcript, agents scramble to recall details, ask customers to repeat themselves, and burn handle time they don’t have. DaVinci puts the full conversation in front of agents as it happens, so focus stays on the customer..

Compliance Gaps

Without a complete transcript of every qualifying call, QA teams sample blindly and compliance teams work from incomplete records. Real-time transcription creates a full, accurate record of every conversation,  automatically, at scale, with inline redaction for sensitive data.

Every word. Every signal. One live stream

Turn Every Conversation Into Actionable Intelligence

Voice becomes structured, reusable data the moment it’s spoken. DaVinci distributes transcription in real time across your contact center, powering AI, automation, analytics, and workflows simultaneously from a single conversation stream.

Guide agents with live answers during the call.

Surface knowledge, next best actions, and compliance prompts in real time so agents can resolve issues faster without putting customers on hold or escalating to a specialized team.

Detect customer sentiment the moment it changes.

Capture live emotional signals and escalation risks instantly so supervisors can intervene before conversations deteriorate.

Power AI automation with real-time data.

Turn live speech into structured data that powers summaries, intent detection, workflow automation, and intelligent routing in real time.

Give supervisors visibility into every active conversation.

Monitor compliance risks, coaching opportunities, and unresolved issues live so they can coach proactively while conversations are still happening.

Create searchable compliance records automatically.

Convert every conversation into a structured audit trail that QA and compliance teams can review instantly at enterprise scale.

Sync customer context directly into your CRM.

Automatically update records, populate case notes, and trigger workflows in Salesforce, Dynamics, ServiceNow, and other enterprise systems without manual entry.

No forced migration. No carrier change.

Built for the Infrastructure You Already Have

These tools can function independently or together, deployed via DaVinci Premise Server or at the agent level, depending on infrastructure. Think of them as both physical components and strategic concepts, not just traditional software.

Compatible with Avaya, Cisco, Microsoft Teams, Five9, Genesys, NICE, AWS, RingCentral, Alvaria, and Twilio.

On Premise Audio Capture For Cloud Use

DaVinci Media Gateway

Captures and routes audio from your existing telephony infrastructure.

Connects your audio stream to Deepgram, Google Cloud Speech API, Amazon Transcribe, or Azure Speech Services and returns real-time text.

DaVinci Cloud Transcribe

Connects your audio stream to Deepgram, Google Cloud Speech API, Amazon Transcribe, or Azure Speech Services and returns real-time text.

structured transcription output to your on-premise or cloud CRM, agent desktop, QA platform, and AI tools

DaVinci Enterprise Gateway

Routes structured transcription output to your on-premise or cloud CRM, agent desktop, QA platform, and AI tools simultaneously.

Balancing Cost, Latency, and Security in Real-Time Transcription

Real-time transcription is the backbone of AI powered contact centers. From Agent Assist and sentiment analysis to real-time coaching and advanced analytics, transcription unlocks intelligent automation at scale. However, successful implementation means weighing the right factors: ensuring low latency for timely insights, securing voice data end-to-end, and managing infrastructure costs without sacrificing performance.

Control What You Spend on Transcription

The cost of real-time transcription can add up quickly, especially when factoring in licensing, infrastructure, and consumption-based services. To budget effectively, it’s important to understand actual usage patterns and explore a pilot rollout to validate performance. When done right, transcription can drive measurable ROI through improved handle times, first-call resolution, and overall contact center efficiency.

Budgeting and ROI Considerations

  • Pilot First: Start with a controlled rollout to validate transcription accuracy, latency, and impact on agent workflows.

  • Understand Usage Patterns: Transcription services are billed by consumption, and average daily talk time varies. Make sure your projections reflect actual usage, not assumptions.

  • Key Licensing Components: Beyond speech-to-text licensing, consider costs tied to communications infrastructure and optional orchestration platforms like DaVinci.

  • Factor in AI Benefits: Improved average handle time (AHT), first call resolution (FCR) rates, and quality assurance (QA) results can offset transcription costs and improve overall contact center performance.

Latency You Can’t Feel Is Latency That Works

Real-time transcription involves converting spoken words into text nearly instantly. However, there’s always a slight delay, called latency, between when someone speaks and when their words appear on screen. This delay stems from five main stages:

  • Audio Capture: Initial buffering and audio packetization.
  • Speech-to-Text Processing: The core engine transcribes speech, accounting for over half the total delay.
  • Formatting: Adds punctuation, capitalization, and speaker tagging for readability.
  • Inline Redaction: Automatically hides sensitive info like names or credit card numbers.
  • Network Transit: Time for data to travel across devices and cloud systems.

Latency is influenced by geography, system architecture, model size, and privacy safeguards. Our infrastructure—optimized with edge processing and regional clusters—helps keep this delay as low as possible, typically within a few hundred milliseconds.

Learn More About Latency
Real-Time Transcription Contact Center Implementation

Built Secure Before It’s Built at All

Real-time transcription introduces new data flows across your contact center environment—capturing and processing sensitive customer conversations in motion. Securing this data at every step is essential to maintaining trust, meeting compliance requirements, and minimizing risk.

Protection and Compliance Considerations

  • Voice Data Handling: Ensure speech data is encrypted both in transit and at rest, whether it’s moving through SIP trunks, STT engines, or cloud platforms.

  • Vendor Compliance: Verify that your speech-to-text and orchestration providers meet standards like SOC 2, HIPAA, or GDPR depending on your industry.

  • Access Controls: Limit who can access transcribed data, both within your CRM and external logging or analytics platforms.

  • On-Prem & Hybrid Configurations: If security policies limit cloud usage, explore on-prem or hybrid options that maintain control over audio and text.

  • Audit & Monitoring: Establish auditing processes for transcription workflows to detect anomalies or unauthorized access in real time.

Real-Time Speech to Text Calculator

Monthly Usage Estimate
Total Monthly Calls: 0 | Total Call Minutes: 0
Cost Comparison
Google Cloud
Total Monthly Cost: $0.00
Per Agent Monthly: $0.00
Minutes / moRate / min
First 500,000$0.0160
500k – 1M$0.0100
1M – 2M$0.0080
Over 2M$0.0040
Microsoft Azure
Total Monthly Cost: $0.00
Per Agent Monthly: $0.00
Hours / moRate / hr
First 2,000$1.20
2,001 – 10,000$0.90
10,001 – 50,000$0.70
Over 50,000$0.50
Amazon Web Services
Total Monthly Cost: $0.00
Per Agent Monthly: $0.00
Minutes / moRate / min
First 250,000$0.0240
250k – 1M$0.0150
1M – 5M$0.0102
Over 5M$0.0078
Published list rates as of Feb 24, 2026 (standard real-time / streaming transcription). Azure tiers reflect annual volume commitment pricing; the first 2,000 hrs/mo matches the pay-as-you-go rate. Highlighted row shows the tier your current usage reaches. Actual costs may vary by region, model, add-ons, and rounding rules.

Once you’ve used the calculator, you’re welcome to schedule a cost evaluation session with our team. We’ll discuss your results, answer questions, and help find the best solution to fit your budget.

Talk ROI with a Transcription Specialist
Download The RTT ROI Datasheet

Comparing Speech-To-Text Providers

Selecting the right speech-to-text provider is critical to balancing performance, cost, and data privacy. Here’s a quick comparison of four leading transcription engines. Each provider can be orchestrated through DaVinci Cloud Transcribe, ensuring a seamless, platform agnostic deployment aligned with your contact center’s needs.

Deepgram Speech To Text for On-Prem Transcription

Deepgram Speech-to-Text

Deepgram On-Premise delivers enterprise grade speech recognition with customizable AI models, designed for secure, on site deployment. It ensures full control over data and supports real-time and batch transcription with high accuracy.

Google Cloud Speech To Text for Transcription

Google Cloud Speech-to-Text

Google’s Speech-to-Text API offers robust, real-time speech recognition from the cloud. It supports a wide range of languages, automatic punctuation, and seamless integration with Google Cloud services, ideal for scalable applications.

AWS Transcribe Speech To Text for Transcription

Amazon Transcribe (AWS)

Amazon Transcribe is a cloud native speech recognition service offering real-time and asynchronous transcription. It features speaker identification, custom vocabulary, and deep integration with AWS tools for scalable, automated workflows.

Azure Speech To Text for Transcription

Azure Speech Services

Microsoft Azure Speech Services provide cloud-based and container supported speech-to-text with advanced features like speaker diarization and custom vocabulary. It integrates easily within Microsoft environments and supports multilingual use cases.

Our Services Approach to Real-Time Transcription

Take advantage of one of our service offerings for a structured approach that ensures seamless integration with your existing infrastructure while maximizing value and efficiency.
Services to Define Business Goals & Use Cases

We evaluate your existing voice systems—PBX, VoIP, CCaaS, and contact center platforms—to identify the best integration points for real-time transcription.

Recording & Transcription Capabilities – We analyze your current setup to determine compatibility with SIPREC, WebRTC, TAPI Media, or built-in transcription tools.
Quality Management Systems – We assess solutions like Verint and NICE to ensure audio capture meets transcription requirements.

Customization & Scalability

Your business is unique, and so are your transcription needs. We determine whether your current systems can support real-time transcription or if custom integrations are required to scale effectively.

Solution Mapping & Implementation Roadmap

We outline the best transcription solution for your business, leveraging:

  • Existing platform integrations for seamless deployment
  • Local media capture for direct transcription processing
  • AI powered services like Azure Speech-to-Text or Google Speech-to-Text
Services Plan Implementation
  •  A clear understanding of your infrastructure and transcription opportunities
  •  Tailored recommendations for seamless, cost effective transcription solutions
  •  A step-by-step roadmap to ensure smooth implementation with realistic timelines

Real-time transcription provides agents with an accurate, live record of conversations, helping them focus on resolving issues instead of taking detailed notes. It also enables features like keyword tagging, sentiment analysis, and faster follow-ups by creating actionable insights during the interaction.

DaVinci leverages AI-powered speech-to-text engines, including options like Azure Speech-to-Text and Google Speech-to-Text, to deliver high accuracy. They can be optimized for industry-specific terminology, accents, and noise reduction to improve performance over time.

DaVinci seamlessly integrates with leading CCaaS, CRM, and voice platforms, including NICE, Genesys, Amazon Connect, Salesforce, and Microsoft Teams. It can also connect with third-party transcription services and quality management systems to enhance your workflow.

Yes! DaVinci is highly flexible, allowing for custom integrations, workflow automation, and transcription tuning to align with your use cases—whether for agent assistance, compliance, or post-call analytics.

Frequently Asked Questions

What’s holding you back?

Let us uncover use cases and tackle your unique call center challenges

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