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13 Best Call Center Recording Software in 2026 (Updated in Oct)

This guide compares 8 best call center recording solutions, with their key features and benefits to help you find the perfect match for your contact center.

Key takeaways

What does call center recording software do? It captures, stores and analyzes customer interactions so teams can run quality assurance, meet compliance requirements, coach agents and improve customer experience.

What separates the best tools from basic recorders? AI-powered transcription, automated QA across 100% of calls, sentiment and intent analysis, screen recording, and automatic PII and PCI redaction. Recording alone is no longer enough.

Do I need screen recording as well as call recording? If you want to know what agents did, not just what they said, yes. Screen recording reveals skipped steps, workflow gaps and compliance issues that audio cannot show. Level AI, Verint, Genesys, Five9, NICE, Observe.AI and CallMiner all offer it; Aircall does not.

Which tools are best for HIPAA and PCI compliance? Look for automatic redaction that works on both audio and screen without pausing the recording. Level AI does this by default, while Verint, NICE and Genesys are strong enterprise options.

What if I’m already on a CCaaS platform like Genesys, Five9 or Talkdesk? You can use their built-in recording and QA, or layer a conversation intelligence platform like Level AI on top for deeper, intent-based analysis without switching your telephony.

What’s best for small teams? Aircall and Dialpad are easy to set up and affordable, but they offer lighter QA and compliance features than purpose-built platforms.

Introduction

Every contact center records calls. Very few actually learn from them. Most QA teams still review only 1 to 2% of recorded conversations, which means the rest sit in an archive until a customer dispute or an audit forces someone to go looking.

That blind spot is getting more expensive. According to IBM’s 2025 Cost of a Data Breach Report, the global average cost of a data breach is $4.44 million, and healthcare saw the highest average breach cost for the 15th year running, at $7.42 million. The report also found that organizations using AI and automation extensively save $1.9 million on average per breach. For contact centers, where agents handle card numbers, social security numbers and patient details on every shift, that makes automated recording, redaction and compliance monitoring a business requirement rather than a nice-to-have.

The good news is that call center recording software has moved well beyond storing audio files. The best platforms now transcribe every call, capture agent screens, redact sensitive data automatically, score 100% of conversations, and turn those insights into coaching. In this guide, we compare 13 leading call center recording solutions, including AI-native platforms, enterprise CCaaS suites, and lightweight cloud phone systems, so you can see which one fits your team.

What is call center recording software, and how does it work?

Call center recording software captures voice calls, agent screen activity, or both, and stores them for later review. These call center voice recording systems can capture customer and agent conversations, while modern platforms can also synchronize call audio with agent screen activity.

Here is how contact center call recording works at a high level:

  1. Capture: The software hooks into the telephony layer (CCaaS, PBX, SIP trunk, or softphone) to record audio. These call recording call center integrations allow teams to capture conversations directly from their existing telephony infrastructure.

  2. Trigger. Recording can start when the call connects, when a specific event happens (a transfer from an AI virtual agent, for example), or for the entire agent shift.

  3. Protect. Sensitive data like credit card numbers, social security numbers, and health details is masked. Older tools require the agent to manually pause. Modern call center recording software uses computer vision and natural language understanding to redact this data automatically without breaking the recording.

  4. Transcribe and analyze. The audio is converted to text using automatic speech recognition. AI then tags intents, sentiments, scenarios, and compliance markers.

  5. Store and archive. Recordings are encrypted, indexed, and stored with retention policies that match regulatory requirements like PCI DSS, HIPAA, GDPR, and MiFID II.

  6. Surface. QA teams, managers, and compliance officers search, filter, and review specific moments through dashboards, scorecards, and reports.

Your call recordings should do more than sit in an archive

Turn every recorded interaction into actionable insights with Level AI. Automatically analyze 100% of calls for quality, compliance, customer sentiment, and agent performance, while giving your team visibility into what happens on screen.

Your call recordings should do more than sit in an archive

Turn every recorded interaction into actionable insights with Level AI. Automatically analyze 100% of calls for quality, compliance, customer sentiment, and agent performance, while giving your team visibility into what happens on screen.

How can contact centers leverage call center call recording software?

  1. Quality assurance at scale. Instead of sampling 1 to 2% of calls, teams use Auto-QA to grade every call against a custom rubric. This removes reviewer bias and surfaces patterns across thousands of interactions.

  2. Agent coaching. Recordings combined with screen capture show exactly what an agent did during the call, which makes coaching sessions specific and concrete rather than abstract.

  3. Compliance and dispute resolution. Archived recordings with PII and PCI redaction and audit trails protect the business in regulatory audits and customer disputes. See our guide on how screen recording solves compliance and process adherence challenges.

  4. Voice of the Customer insights. Mining 100% of recordings reveals trends that surveys miss, like emerging product complaints or pricing concerns. VoC Insights turn raw conversations into actionable themes.

  5. Inferred CSAT and sentiment trends. Instead of waiting on low-response-rate surveys, tools like Level AI’s iCSAT infer customer satisfaction from sentiment, resolution signals, and customer effort across every recorded interaction.

  6. Process improvement. Screen recordings expose workflow gaps: agents searching for information, switching apps repeatedly, or skipping steps. Fixing these patterns reduces handle time across the team.

  7. Training new agents. Top-performing recordings become a library of “what good looks like” for onboarding, often more useful than scripted training.

  8. Sales coaching and forecasting. For sales teams, recordings reveal which talk tracks close deals and which objections come up most often.

5 must-ask questions when researching call center recording software

Q1. What percentage of our calls will actually get reviewed? If your call center recording software cannot help you move beyond manual sampling, you will keep reviewing 1 to 2% of calls. Ask whether the platform automatically scores 100% of conversations and whether scorecards adapt to your custom rubric.

Q2. How does the platform redact sensitive data, and what happens during redaction? Manual pause and resume is risky. Ask if redaction is automatic, whether it works on both audio and screen, and whether managers can still see the rest of the recording during the redacted segment.

Q3. How accurate is the AI on our specific calls? Generic large language models often misread contact center language. Ask the vendor to run your actual call samples through their AI and share accuracy numbers for intent detection, sentiment, and QA scoring, not just transcription.

Q4. How does the platform handle compliance retention for our industry? Financial services, healthcare, and collections all have different retention, encryption, and audit requirements. Ask for specifics on PCI DSS, HIPAA, GDPR, MiFID II, or whatever applies, and ask how legal hold works.

Q5. What is in the contract versus the demo? Many AI features sit on higher-priced tiers. Ask which features are in the base plan, which are paid add-ons, and what the realistic cost looks like at your seat count after 12 months.

Now lets compare the best call center recording softwares in 2026

Tool

Best for

Call recording

Screen recording

Key features

Level AI

AI-powered QA

✓

✓


Auto-QA, AI analysis, redaction

Dialpad

AI communications

✓

✓


Transcription, sentiment, QA

Observe.AI

Automated QA

✓

✓


Auto-QA, transcription, coaching

Talkdesk

Cloud contact centers

✓

✓


CCaaS, analytics, integrations

Sprinklr

Enterprise CX

✓

✓


Omnichannel, analytics, compliance

Convin

Conversation intelligence

✓

✓


Auto-QA, scorecards, coaching

NICE

Enterprise contact centers

✓

✓


WEM, compliance, AI analytics

CallMiner

Conversation intelligence

✓

✓


Analytics, QA, coaching

Verint

Regulated enterprises

✓

✓


Compliance recording, WEM, speech analytics

Genesys

All-in-one CCaaS

✓

✓


Built-in QA, scorecards, AI copilot

AudioCodes

Microsoft Teams recording

✓

Partial (Teams meetings only)


Teams compliance recording, secure storage

Five9

Outbound and blended teams

✓

✓


Dialer, QA, Genius AI agent assist

Aircall

SMB sales and support

✓

✗


Cloud phone, AI summaries, live coaching

1. Level AI: AI-powered screen recording to empower organizations

Level AI homepage: Next Level AI for Customer Intelligence and Automation

Level AI is a customer experience platform that offers call center recording software, including AI-powered screen recording and redaction of sensitive information, along with coaching tools such as real-time dashboards and live call monitoring capabilities., so you can easily manage all of it in one place.

Level AI’s platform offers secure and customizable Generative AI capabilities, and serves call centers, QA teams, and sales teams in a variety of industries, including healthcare, debt collection, insurance, financial services, and others.

Below, we’ll dig into Level AI’s call recording features, including:

  • Multi-monitor recording

  • Audio recording

  • Post-call recording (that doesn’t violate agents’ privacy)

  • Redaction of sensitive information (without pausing the recording)

  • Real-time call transcription

  • And more

However, in order to understand how Level AI is able to provide these advanced features, we’ll first share a brief overview of how our platform works differently from other tools.

How Level AI works?

Most call recording solutions simply record the audio of the calls for you to review later.

Many of these tools will provide some sort of transcript, be able to record the agent’s screen, and may even offer a search-and-find feature or a keyword-based categorization system.

Level AI, on the other hand, goes beyond just recording the call without understanding any of the content. It uses natural language understanding and semantic intelligence to understand the meaning of the words being exchanged and the sentiments behind those words.

This is the key to how we’re able to redact sensitive information without having to pause the recording, record post-call activities without violating the agents’ privacy, and more.

It also allows our platform to do a lot of manual work for you, from accurately summarizing phone calls to ensuring agents are following compliance requirements (such as PCI, GDPR, HIPAA, etc.) to automatically detecting and analyzing customer sentiment for better dispute resolution.

Let’s look at Level AI’s spfive9-cx-summit-2022eech and sentiment analysis in more detail.

1) Recognizing the intent behind the words

Because Level AI’s Scenario Engine understands the meaning of the words being said, it’s able to sift through the conversation data to detect instances of intent (i.e., what the agent or customer is trying to express or accomplish), which we call scenarios.

Examples of scenarios are a customer asking about a warranty or an agent verifying the caller’s identity.

The platform offers preset scenarios but you can create your own by providing it with example phrases.

Scenario Management: Title and Status

For example, if you want to train a scenario denoting when customers are looking for discounts or show price concerns, you would add phrases like:

  • “My monthly subscription is too expensive.”

  • “I found another solution that’s cheaper.”

  • “I can’t afford the current price.”

Our software identifies conversational moments during interactions where intents occur and marks them using conversation tags to show you where particular intents appear in a recorded call.

Interaction History example

Not only can users create custom scenarios, but they can add additional business-specific conversation tags to better classify customer intents.

If more than one scenario occurs during a single conversation, it can have multiple tags. All conversation tags within recorded interactions are filterable and searchable, meaning QA teams can quickly find and analyze specific interactions.

Search Filters from Conversations

2) Detecting customer emotions with advanced sentiment analysis

Many solutions are limited to positive, negative, or neutral classifications. Meanwhile, Level AI captures the broadest range of emotions of any solution available, including:

  • Anger

  • Disapproval

  • Disappointment

  • Worry

  • Happiness

  • Admiration

  • Gratitude

Our software’s sentiment analysis detects real-time emotional shifts throughout the interaction, using sentiment tags to highlight the moments when these emotions are detected.

Level AI also assigns an overall Sentiment Score on a scale of 0 to 10 (with 0 being strongly negative and 10 being strongly positive) using algorithms that intelligently weigh different parts of the conversation.

For instance, end-of-call sentiments are given more weight as they typically reflect the customer’s feelings about the final resolution or overall experience, which tend to be the lasting impression.

Call Duration and Sentiment Score

Now that we’ve covered some main features of Level AI, we will dive into our call recording features in detail and highlight additional capabilities that contact centers can integrate into their quality assurance to maximize the value of their call recordings.

3) Combining AI with screen recordings

For every call, Level AI offers screen recordings, audio, and transcripts (both live and post-call transcripts). This makes Level AI more than a traditional call recording platform: it also functions as call center screen recording software, giving QA teams visibility into what agents did during and after customer interactions.You can also easily integrate with most any voice recording solution.

Level AI’s Screen Recording offer multi-monitor recording capabilities so you can see what your agents did during the call (i.e., what actions they took, what resources they found, etc.):

Multi Monitor Screen Recording Capability

QA managers can decide to record agents throughout their entire shift or opt for a trigger recording system that activates once a customer conversation starts.

Our software continues recording after the call has ended to capture any wrap-up details (e.g., completing an order, submitting a file, etc.). To protect agents’ privacy, the recordings only include activities that are directly relevant to the call.

The AI is able to detect when post-call tasks are finished and the agent has moved on to other activities, and automatically stops the recording at that point.

However, when the recording stops is entirely dependent on how much post-call activity you’d like to capture. The recording options include stopping the recording:

  • Immediately when the conversation ends.

  • X minutes after the conversation ends.

  • After a percentage of the call length has passed (e.g., for a 10-minute call with a 20% setting, it stops 2 minutes after).

  • Once documentation or dispositioning work is finished.

Smart skip is a feature that allows you to jump to moments in a recording where the agent performed a significant action, such as switching applications or entering information.

This makes it easy to catch errors in processes such as agents skipping steps or agents failing to input all of the necessary information.

We also offer persistent login that allows agents to stay signed in for longer, which is helpful for agents to spend less time entering passwords and more time handling customer calls.

Next, we’ll cover some of the most common use cases for call recording — including compliance, coaching, and improving the customer experience — and share additional features Level AI offers for those use cases.

4) Using screen recordings to meet compliance standards

Traditional solutions rely on manually pausing and resuming recordings in order to protect sensitive information, which has a few downsides:

  • Agents might forget to pause the recording, which means you won’t be in compliance with privacy regulations.

  • Agents might forget to restart the recording, which means you’ll miss out on parts of the conversation.

  • While the recording is paused, you won’t know what’s going on.

To solve these issues, Level AI uses computer vision technology to automatically detect and protect sensitive information.

Instead of completely stopping the recording, Level AI selectively blacks out only the sensitive portions of the screen in the recording (e.g., the box where the credit card is being entered) or mutes just the sensitive words (e.g., the customer sharing their social security number).

This not only gives managers full visibility during the entire duration of the call without breaking regulations, but it also allows agents to handle the call without worrying about stopping and restarting the recording.

The ability to review compliant recordings also allows managers to verify that agents are following the right procedures and using the correct applications for handling sensitive information.

5) Using call transcripts and screen recordings to improve customer experience

Level AI uses the data gathered from customer interactions to analyze and uncover VoC trends, displaying these in intuitive dashboards that make it easy for teams to identify actionable insights and improve the overall customer experience.

Voice of the Customer (VoC) Insights not only show standard metrics like CSAT and FCR but also uncover trends you may not have known about, and that you may not have identified simply by sending out surveys.

For instance, if customers frequently complain about how long it takes to add a new payment method to their account in various recorded calls, our VoC tools detect and highlight this issue thanks to Level AI’s natural language understanding.

Voice of the Customer analytics dashboard

Besides VoC, the platform also offers advanced Analytics and Reporting that lets you generate customized reports incorporating a wide variety of data types and metrics from disparate data sources from Level AI and from other systems in your organization, like workforce management tools.

For instance, you can create reports combining sentiment tags reflecting negative sentiment with call volume forecasts to ask questions such as:

  • Do high call volumes correlate with worry due to increased wait times?

  • Are customers happier during off-peak hours when agents feel less rushed?

  • Are certain sentiments like gratitude more common with specific agent teams or shifts during peak times?

You build such reports using Level AI’s Query Builder, which results in sophisticated charts featuring contextual drill down to uncover deeper layers of information:

New Chart: Time Handling Filter

6) Using call transcripts and screen recordings to identify coaching opportunities and improve the customer experience

Level AI offers unique features to help QA teams and managers instantly identify the best calls to review from among thousands of call recordings.

InstaScore grades agent performance based on your custom rubrics, which allows you to instantly see which agents performed well or underperformed.

Because these rubrics are specific to your company, it’s a more accurate way of judging performance than relying on metrics like call duration.

All Interactions and InstaScore

InstaReview helps you quickly see which calls have positive or negative characteristics by displaying descriptive tags next to each call:

All Interactions: Negative Conversations

You can click any of the stats you see on our screens to dig into further details behind the reasons for the tags or scores. You can also quickly and easily pull up the right transcript and screen recording because all of it is stored within Level AI’s platform.

The platform offers dedicated modules for agent coaching, allowing you to initiate coaching sessions, manage templates for performance reviews, and more.

Other features to improve agent performance & customer satisfaction

Here’s a brief summary of a few additional features that call centers can use to increase productivity and overall customer satisfaction:

a) Real-time manager assist

This allows you to monitor calls and provides the necessary context to intervene without disrupting conversation flows.

The dashboard shows live metrics for all active calls, including call duration, sentiment score, conversion probability, opportunities for coaching, and more.

Real-Time Manager Assist also provides functionality for either interacting with agents via call whispering, or escalating with call barging.

Assist: Real time performance for the Alpha team

b) Real-time agent assist

This feature lets agents streamline call workflows via auto-summaries, live transcripts, action hints (e.g., “remember to offer a warranty”), and automatically surfacing relevant material based on what’s discussed in the call.

Agents also have access to AgentGPT, which allows them to enter search queries and get a conversational response that summarizes the relevant information from multiple sources.

Answers typically include links to the original sources (e.g., your integrated knowledge base) so agents can quickly and easily verify the information if needed:

Customer sentiment: Damaged product

Both Real-Time Agent and Manager Assist are features of Level AI’s Agent Copilot and integrate with other modules of our platform.

c) AI-powered automatic categorization

For automatic dispositioning, we offer functionality that detects and classifies conversations based on key discussion points, freeing up agent time to focus on post-call activities.

AI provides accurate and consistent categorizations since agents no longer need to manually assign categories and subcategories to conversations after interactions.

Your best qa insights are hiding in the calls you never review

Level AI covers 100% of customer conversations and offers advanced call recording features to monitor interactions and improve the overall customer experience.

Your best qa insights are hiding in the calls you never review

Level AI covers 100% of customer conversations and offers advanced call recording features to monitor interactions and improve the overall customer experience.

2. Dialpad

Dialpad homepage

Dialpad is a cloud-based business communications platform that offers voice, video, messaging, and contact center recording solutions. The software has various AI-powered features, including auto-pause recordings for when sensitive information is being shared.

Other key Dialpad features include:

  • Real-time AI transcription and sentiment analysis

  • Automatic call summaries and action item extraction

  • Integration with popular CRM systems for seamless workflows

  • Custom data security and privacy settings to ensure compliance

PROS

All-in-one platform combining voice, video, messaging, and contact center in one interface

Real-time AI transcription and built-in sentiment tagging on every call

Native auto-pause for recordings when sensitive data is detected

Lower starting price than enterprise CCaaS competitors

CONS

Conversation analytics are lighter than dedicated platforms

Sentiment analysis is limited to positive, negative, or neutral categories

QA scoring features are less mature than purpose-built QA tools

SMB and mid-market focus, enterprises often outgrow it

PROS

All-in-one platform combining voice, video, messaging, and contact center in one interface

Real-time AI transcription and built-in sentiment tagging on every call

Native auto-pause for recordings when sensitive data is detected

Lower starting price than enterprise CCaaS competitors

CONS

Conversation analytics are lighter than dedicated platforms

Sentiment analysis is limited to positive, negative, or neutral categories

QA scoring features are less mature than purpose-built QA tools

SMB and mid-market focus, enterprises often outgrow it

Pricing for Dialpad starts at $39 per user per month, with custom enterprise plans available for larger organizations.

3. Observe.AI

Observe AI homepage

Observe.AI is an AI-powered contact center platform focused on conversation intelligence and performance management.

Call center and quality management teams can access the following Observe.AI features:

  • Real-time speech analytics

  • Quality assurance automation

  • AI-driven coaching

  • Compliance monitoring

  • Omnichannel analytics

PROS

Strong conversation intelligence with intent detection and sentiment analysis

Automated QA across 100% of calls with custom scorecards

Synchronized audio, transcript, and screen recording for full context

Solid compliance redaction features

CONS

Custom pricing only, with limited transparency until sales engagement

Some users report a learning curve when setting up custom scorecards

Reporting and analytics dashboards are less flexible than dedicated BI tools

Coaching workflows are basic compared to specialized coaching platforms

PROS

Strong conversation intelligence with intent detection and sentiment analysis

Automated QA across 100% of calls with custom scorecards

Synchronized audio, transcript, and screen recording for full context

Solid compliance redaction features

CONS

Custom pricing only, with limited transparency until sales engagement

Some users report a learning curve when setting up custom scorecards

Reporting and analytics dashboards are less flexible than dedicated BI tools

Coaching workflows are basic compared to specialized coaching platforms

Pricing: Observe.AI offers custom pricing with plans tailored toward the specific needs of each business.

4. Talkdesk

Talkdesk homepage

Talkdesk is an AI-driven cloud contact center platform offering automation features to improve the customer experience.

The product offers a highly flexible call recording system with granular control over recording preferences, automatic pausing for sensitive information, and versatile storage options.

Key Talkdesk features include:

  • Real-time and on-demand recording options

  • Dual channel recording

  • Pause-resume recording functionality

  • Advanced analytics and integrations to sync with other QA tools

PROS

Mature CCaaS with omnichannel routing, IVR, and workforce management built in

Flexible recording with dual-channel capture and granular pause and resume control

Large library of integrations with CRMs, helpdesks, and analytics tools

Strong uptime and global voice coverage


CONS

Per-seat pricing climbs quickly, especially for AI add-ons

Advanced analytics and AI features sit on higher-tier plans, not the base

Reporting can feel cluttered and takes time to configure

Recording analysis is shallow without a third-party conversation intelligence layer

PROS

Mature CCaaS with omnichannel routing, IVR, and workforce management built in

Flexible recording with dual-channel capture and granular pause and resume control

Large library of integrations with CRMs, helpdesks, and analytics tools

Strong uptime and global voice coverage


CONS

Per-seat pricing climbs quickly, especially for AI add-ons

Advanced analytics and AI features sit on higher-tier plans, not the base

Reporting can feel cluttered and takes time to configure

Recording analysis is shallow without a third-party conversation intelligence layer

Pricing: Talkdesk offers a range of pricing plans starting at $85 per user per month. Advanced enterprise plans are priced higher, between $115 and $145 per user per month.

5. Sprinklr

Sprinklr homepage

Sprinklr is a unified customer experience management platform that helps businesses manage social media, marketing, advertising, and customer care.

The platform offers flexible call recording options, including single-participant (active speaker only) or both-participant modes, with recordings stored securely on AWS S3 for easy access and review.

Call recording features can integrate seamlessly with Sprinklr’s broader customer experience management suite. Sprinklr customers can access additional features, such as:

  • AI-powered transcription and sentiment analysis

  • Omnichannel recording with a centralized call recording dashboard for management

  • Search and retrieval capabilities to sort and save recordings based on date, caller, keyword, etc.

PROS

Unified customer experience across social, chat, email, and voice

Centralized dashboard for recordings across all channels, not just voice

AWS S3 storage out of the box for archiving

Strong fit for brands that need social and voice analytics in one place

CONS

Highest entry price in this list at $249 per seat per month for self-service

Implementation can be heavy and slow for voice-first contact centers

Voice and call recording features are less mature than social and digital tools

Better suited to large enterprise marketing teams than mid-market support teams

PROS

Unified customer experience across social, chat, email, and voice

Centralized dashboard for recordings across all channels, not just voice

AWS S3 storage out of the box for archiving

Strong fit for brands that need social and voice analytics in one place

CONS

Highest entry price in this list at $249 per seat per month for self-service

Implementation can be heavy and slow for voice-first contact centers

Voice and call recording features are less mature than social and digital tools

Better suited to large enterprise marketing teams than mid-market support teams

Pricing: Sprinklr pricing starts at $249 per seat per month for their self-service solution. Custom enterprise plans are also available.

6. Convin

Convin homepage

Convin is an AI-backed contact center software that uses conversation intelligence to analyze customer interactions across multiple channels.

It helps managers, sales teams, and customer support departments improve the customer experience by integrating directly with existing call center systems to automatically record, transcribe, and analyze 100% of calls.

The software also provides:

  • AI-driven transcription to convert all recorded calls into searchable text for easy analysis and review.

  • Multi-channel analysis to review interactions across various channels, including voice calls, emails, and chat, providing a holistic view of customer communications.

  • Automated quality assurance to evaluate calls based on predefined parameters, reducing the need for manual QA processes.

  • Custom scorecards that allow managers to set specific evaluation criteria for assessing agent performance for training purposes.

PROS

Records, transcribes, and analyzes 100% of calls automatically

Multi-channel analysis covering voice, email, and chat

Automated QA with custom scorecards for agent evaluation

Affordable option for teams new to conversation intelligence

CONS

Pricing is not public, which slows down evaluation

Smaller integration ecosystem than legacy CCaaS players

Less brand recognition in North American markets

Newer to the enterprise segment, so reference customers skew SMB and mid-market


PROS

Records, transcribes, and analyzes 100% of calls automatically

Multi-channel analysis covering voice, email, and chat

Automated QA with custom scorecards for agent evaluation

Affordable option for teams new to conversation intelligence

CONS

Pricing is not public, which slows down evaluation

Smaller integration ecosystem than legacy CCaaS players

Less brand recognition in North American markets

Newer to the enterprise segment, so reference customers skew SMB and mid-market


Pricing for Convin is not available online. Anybody interested must contact the sales team directly for a personalized quote.

7. NICE CXone

NICE CXone is an enterprise cloud contact center platform that bundles call recording, compliance archiving, workforce engagement, and analytics into one stack. It is one of the most widely deployed CCaaS platforms in regulated industries like banking, insurance, and healthcare, and NICE Engage (its recording product) is treated as a reference standard for retention, search, and audit workflows.

CXone records voice, chat, email, and digital channels with configurable retention policies, role-based access controls, and tamper-evident archiving. It supports pause and resume on sensitive data, encrypted storage, and detailed audit trails that align with PCI DSS, HIPAA, MiFID II, and Dodd-Frank requirements.

Key features:

  • Voice and screen recording across all channels with synchronized playback

  • Configurable retention, encryption, and legal hold for compliance archiving

  • Real-time AI for transcription, sentiment, and agent guidance through NICE Enlighten

  • Workforce management, quality management, and analytics in one platform

  • Outbound dialer and call frequency controls for TCPA compliance

PROS

Industry standard for compliance recording in financial services

Deep workforce optimization features for forecasting, scheduling, and adherence

Mature integrations with most enterprise CRMs and ticketing tools

Reliable at very large agent counts

CONS

Pricing starts around $110 per agent per month and rises quickly with AI add-ons

Setup and configuration are complex, often requiring a partner to implement

User interface feels dated next to modern AI-first platforms

Sentiment and intent detection are less nuanced than purpose-built conversation intelligence tools like Level AI

PROS

Industry standard for compliance recording in financial services

Deep workforce optimization features for forecasting, scheduling, and adherence

Mature integrations with most enterprise CRMs and ticketing tools

Reliable at very large agent counts

CONS

Pricing starts around $110 per agent per month and rises quickly with AI add-ons

Setup and configuration are complex, often requiring a partner to implement

User interface feels dated next to modern AI-first platforms

Sentiment and intent detection are less nuanced than purpose-built conversation intelligence tools like Level AI


Pricing: Core plans start at roughly $110 per agent per month. AI modules, workforce engagement, and advanced analytics are priced separately. Custom enterprise quotes are standard.

8. CallMiner

CallMiner is an AI-powered conversation intelligence platform that captures and analyzes customer interactions across voice and digital channels. Its recording capabilities include call recording, screen recording, transcription, and analytics, giving contact centers a broader view of agent and customer interactions.

Key features:

  • Call and screen recording: Capture audio and agent screen activity together to provide greater visibility into customer interactions.

  • Automated quality management: Automatically score interactions and identify performance, compliance, and coaching opportunities across conversations.

  • Conversation analytics: Analyze 100% of customer conversations for sentiment, emotion, intent, topics, and other interaction signals.

  • Real-time insights: Surface compliance, risk, and sentiment events while conversations are happening so teams can respond faster.

  • Omnichannel analytics: Analyze interactions across calls, chat, email, SMS, surveys, and social channels from a unified platform.

PROS

Analyzes 100% of customer interactions

Combines recording with conversation intelligence and automated QA

Includes both audio and screen recording

Strong compliance, coaching, and performance analytics capabilities

CONS

Its broad conversation intelligence platform may be more than organizations looking for basic call recording need

Best suited to larger contact centers with more sophisticated QA and analytics requirements

PROS

Analyzes 100% of customer interactions

Combines recording with conversation intelligence and automated QA

Includes both audio and screen recording

Strong compliance, coaching, and performance analytics capabilities

CONS

Its broad conversation intelligence platform may be more than organizations looking for basic call recording need

Best suited to larger contact centers with more sophisticated QA and analytics requirements

Pricing: Custom pricing based on business requirements.

9. Verint

Verint is an enterprise customer engagement platform known for compliance recording, quality management and speech analytics. It’s built for large, regulated contact centers in banking, insurance, healthcare and government.

Verint has long been a go-to choice for organizations that must record, retain and audit every customer interaction. The platform captures voice, screen and digital interactions, then layers AI-driven analytics through its Da Vinci AI engine to surface trends, compliance risks and coaching opportunities. Quality managers can build detailed evaluation forms, automate scoring and connect results directly to workforce management, which makes Verint a fit for teams that want recording, QA, analytics and scheduling from one vendor. The trade-off is complexity: implementations are often long, and many advanced capabilities depend on professional services and dedicated admins.

Key features:

  • Compliance recording across voice, screen and digital channels

  • Automated quality management with customizable evaluation forms

  • Speech and text analytics for trend and root-cause discovery

  • Redaction of sensitive data for PCI and privacy requirements

  • Integrated workforce management and performance management

  • AI bots and real-time agent guidance through Da Vinci AI

PROS

Mature compliance recording suited to heavily regulated industries

Synchronized voice and screen capture for full interaction context

Broad workforce engagement suite in one ecosystem

Scales well for very large, multi-site operations

CONS

Long, complex implementations that often require a partner

Interface feels heavy next to modern AI-first platforms

Pricing is enterprise-focused and not transparent

Product roadmap may shift as the Verint and Calabrio integration progresses

PROS

Mature compliance recording suited to heavily regulated industries

Synchronized voice and screen capture for full interaction context

Broad workforce engagement suite in one ecosystem

Scales well for very large, multi-site operations

CONS

Long, complex implementations that often require a partner

Interface feels heavy next to modern AI-first platforms

Pricing is enterprise-focused and not transparent

Product roadmap may shift as the Verint and Calabrio integration progresses

Pricing: Verint offers custom pricing based on modules, seat count and deployment model

10. Genesys

Genesys Cloud CX is an all-in-one cloud contact center platform that bundles routing, call recording, quality management, workforce engagement and AI. It suits mid-market and enterprise teams that want recording and QA built directly into their CCaaS.

Genesys’s strength is tight integration. Because recording, transcription, speech analytics, evaluations and workforce management all live in one platform, supervisors can move from a flagged interaction to a scored evaluation to a coaching session without switching tools. It also supports screen recording, secure pause for payment capture and AI features such as Agent Copilot and automatic summaries. The catch is that many of these capabilities are tied to higher license tiers, and AI usage is metered separately, so teams should map their exact needs before comparing quotes.

Key features:

  • Omnichannel interaction recording plus screen recording

  • Built-in quality management with evaluation forms and calibration

  • Speech and text analytics with topic detection and sentiment

  • Secure pause and PII redaction to support PCI DSS

  • Agent scorecards, gamification and coaching workflows

  • AI-powered summaries, Agent Copilot and predictive routing

PROS

Recording, QA, WEM and routing in one unified platform

Strong omnichannel coverage

Large integration ecosystem through the AppFoundry marketplace

Frequent feature releases and an active AI roadmap

CONS

QA and WEM features sit on higher-priced tiers

AI features draw from a token allocation that can add cost

Configuration depth creates a learning curve for admins

Best value only if you adopt Genesys as your full contact center platform

PROS

Recording, QA, WEM and routing in one unified platform

Strong omnichannel coverage

Large integration ecosystem through the AppFoundry marketplace

Frequent feature releases and an active AI roadmap

CONS

QA and WEM features sit on higher-priced tiers

AI features draw from a token allocation that can add cost

Configuration depth creates a learning curve for admins

Best value only if you adopt Genesys as your full contact center platform

Pricing: Genesys Cloud CX is priced per agent across four named tiers billed annually: CX 1 at $75, CX 2 at $115, CX 3 at $155, and CX 4 at $240 per user each month. Quality assurance starts on CX 2, and full workforce engagement on CX 3

11. Five9

Five9 is a cloud contact center platform with built-in call recording, quality management and AI through Five9 Genius AI. It’s especially popular with sales, collections and blended inbound-outbound teams.

Five9 has built its reputation on reliable cloud infrastructure and a strong outbound dialer. All calls can be recorded and stored, and its workforce engagement suite adds quality management, screen recording, interaction analytics and agent coaching. Its AI layer supports real-time agent assist, automatic call summaries and intelligent virtual agents. Five9 supports PCI and HIPAA environments with the right configuration, but quality management and workforce management sit on higher, quote-based tiers, and seat minimums make it a better fit for mid-sized and large operations than small teams.

Key features:

  • Call recording across inbound, outbound and blended campaigns

  • Quality management with evaluation forms and agent scorecards

  • Screen recording through the workforce engagement suite

  • Interaction and speech analytics

  • Genius AI agent assist, summaries and intelligent virtual agents

  • Outbound dialer with compliance controls for calling rules


    PROS

    Strong outbound and blended campaign capabilities

    Cloud-native with good uptime and redundancy

    Broad CRM integration library

    Practical AI features for agent productivity

    CONS

    QA and WFM require higher-tier plans with custom pricing

    50-seat minimum rules out smaller teams

    Reporting can feel rigid without customization

    Long contract commitments

    PROS

    Strong outbound and blended campaign capabilities

    Cloud-native with good uptime and redundancy

    Broad CRM integration library

    Practical AI features for agent productivity

    CONS

    QA and WFM require higher-tier plans with custom pricing

    50-seat minimum rules out smaller teams

    Reporting can feel rigid without customization

    Long contract commitments


Pricing: Five9 lists Digital at $119 and Core at $159 per concurrent seat per month, with a 50-seat minimum. Higher tiers that include quality and workforce management are quoted through sales.

12. Aircall

Aircall is a cloud-based phone system for small and mid-sized sales and support teams. It offers simple call recording, AI-powered call summaries and live coaching tools with very fast setup.

Aircall’s main appeal is simplicity. Teams can get a cloud phone system running quickly, connect it to tools like HubSpot, Salesforce, Zendesk and Slack, and start recording calls automatically. Its AI Assist features add transcripts, summaries, key topics and sentiment, so managers can review calls without listening end to end, while live monitoring, whisper and barge support real-time coaching. For growing teams, that covers the essentials well. But Aircall isn’t designed for large or heavily regulated contact centers: it has no screen recording, limited QA scorecards and no automated compliance auditing.

Key features:

  • Automatic and on-demand call recording

  • AI-generated transcripts, summaries, topics and sentiment

  • Live call monitoring with whisper and barge

  • Pause recording during payment moments

  • Hundreds of CRM and helpdesk integrations

  • Dashboards for call volume and team performance

PROS

Very fast setup with an intuitive interface

Excellent integrations for SMB sales and support stacks

Affordable, transparent entry pricing

AI summaries save managers review time

CONS

No native screen recording

Basic QA scorecards and evaluation workflows

Not built for large or highly regulated contact centers

AI features cost extra on the entry plan

PROS

Very fast setup with an intuitive interface

Excellent integrations for SMB sales and support stacks

Affordable, transparent entry pricing

AI summaries save managers review time

CONS

No native screen recording

Basic QA scorecards and evaluation workflows

Not built for large or highly regulated contact centers

AI features cost extra on the entry plan

Pricing: Aircall charges $30 a license a month for Essentials and $50 for Professional on annual billing, both with a three-license minimum that sets a $90 monthly floor, and charges $9 a license a month for AI Assist on Essentials, but includes it on Professional and Custom plans.

What are the Best software tools to auto-audit call recordings for compliance violations (HIPAA/PCI)?

The best tools transcribe 100% of calls, automatically detect sensitive data or missing disclosures, and redact it without relying on agents to pause and resume. Level AI is built for this: it uses computer vision and audio masking to redact credit card numbers, social security numbers and health details from both audio and screen recordings in real time, so every recording is compliant by default. Its Regulatory Compliance Monitoring then checks every call for required disclosures, consent statements and script adherence, while Auto-QA scores 100% of conversations against your compliance rubric. Among enterprise suites, Verint and NICE CXone offer mature compliance recording and redaction, and Genesys provides secure pause and PII redaction inside its CCaaS. Five9 supports PCI and HIPAA configurations, while Aircall and AudioCodes focus more on secure recording than on automated auditing.

What’s the best contact center solution with built-in coaching, call recording, and agent scorecards?

Look for platforms that combine recording, QA scorecards and coaching in one place. Level AI offers all three: voice and screen recording, 100% Auto-QA scorecards that score every conversation against your custom rubric, and a dedicated agent coaching module that turns scorecard data into 1:1 sessions and templates. Among CCaaS platforms, Genesys Cloud CX bundles recording, scorecards and coaching workflows on its higher tiers, and Five9 offers similar capabilities through its workforce engagement suite. Verint suits large enterprises that want coaching tied to workforce management, while Aircall covers basic live coaching for smaller teams. Observe.AI and Convin also bundle these capabilities, but Level AI’s intent-based AI tends to produce more accurate scoring on nuanced calls. See our roundup of call center quality assurance software for a deeper comparison.

What are the best contact center intelligence and analytics platforms that analyze screen recording and audio together?

Few platforms stitch screen recordings and call audio into a single synchronized timeline. Level AI’s Agent Screen Recording captures multi-monitor activity and aligns it with the call transcript by timestamp, so reviewers can see what the agent typed, clicked or copied while the customer was talking, and Smart Skip jumps straight to key actions. Verint and NICE offer synchronized voice and screen playback for enterprise compliance, Genesys and Five9 include screen recording in their quality and workforce suites, and Observe.AI offers similar synchronized playback. AudioCodes captures screen shares only within Teams meetings, and Aircall doesn’t offer screen recording. For deeper analytics across both layers, Level AI also feeds the combined data into VoC dashboards and custom reports, which most recording tools lack.

Don't just record every call. Learn from every one using Level AI

Call center recording is no longer a passive archive. Every conversation is a data point that can sharpen QA, surface coaching moments, protect the business in audits, and reveal what customers really want.

Level AI listens to 100% of your calls, not just the 1 to 2% a human team can sample. Intent-based AI understands what was said, multi-monitor screen recording shows what the agent did, and automatic PII and PCI redaction keeps every recording compliant by default. Auto-QA, Real-Time Agent Assist, and VoC Insights turn those recordings into action, all in one platform.

You’ve recorded every call. Now make every call count.

Level AI analyzes 100% of customer conversations to uncover what’s driving quality, compliance, and agent performance. Go beyond storing recordings and turn every interaction into an opportunity to improve.

You’ve recorded every call. Now make every call count.

Level AI analyzes 100% of customer conversations to uncover what’s driving quality, compliance, and agent performance. Go beyond storing recordings and turn every interaction into an opportunity to improve.

Frequently asked questions

What's the best contact center solution with built-in coaching, call recording, and agent scorecards?

Look for platforms that combine recording, QA scorecards, and coaching in one place. Level AI offers all three: voice and screen recording, 100% Auto-QA scorecards that score every conversation against your custom rubric, and a dedicated agent coaching module that turns scorecard data into 1:1 sessions and templates. Observe.AI and Convin also bundle these capabilities, but Level AI's intent-based AI tends to produce more accurate scoring on nuanced calls. See our roundup of call center quality assurance software for a deeper comparison.

Best contact center intelligence and analytics platforms that analyze screen recording and audio together?

Few platforms stitch screen recordings and call audio into a single synchronized timeline. Level AI's Agent Screen Recording captures multi-monitor activity and aligns it with the call transcript by timestamp, so reviewers can see what the agent typed, clicked, or copied while the customer was talking. Observe.AI offers similar synchronized playback. For deeper analytics across both layers, Level AI also feeds the combined data into VoC dashboards and custom reports, which most pure recording tools lack.

Which contact center platforms offer the best call recording and compliance archiving capabilities for financial services?

Financial services teams need recording with retention, encryption, PII and PCI redaction, and audit trails. NICE CXone and Verint are the legacy leaders in compliance archiving. Level AI is a strong modern choice because it auto-redacts sensitive data like credit cards and social security numbers during the recording itself using computer vision and audio masking, so the recording is compliant by default. Pair this with Regulatory Compliance Monitoring to flag script adherence and disclosure issues automatically.

What tools offer call recording with real-time AI insights?

Real-time AI means insights surface during the call, not after. Level AI's Real-Time Agent Assist shows live transcripts, sentiment shifts, and next-best-action prompts while the call is happening, and managers can monitor calls live through call monitoring dashboards with whisper and barge controls. Dialpad and Observe.AI also offer real-time transcription and sentiment, though their prompts tend to be keyword-based rather than intent-based.

What screen recording settings are recommended when a live agent jumps in mid-call after an AI transfer?

Three settings matter when an AI virtual agent hands a call to a human:

  1. Trigger recording on the transfer event, not on call start, so screen capture begins the moment the human takes over.

  2. Enable post-call recording with a buffer (for example, 2 minutes after the call ends) to capture wrap-up notes, CRM updates, and dispositioning.

  3. Turn on automatic PII and PCI redaction so anything the agent types or pastes is masked without manual pausing.

Level AI's screen recording supports all three out of the box, including dual-monitor capture and Smart Skip to jump to the moments the human agent took action.

AI contact center platforms with compliance controls, script governance, call frequency rules, consent capture, recordings, and transcripts?

Platforms that combine recording, transcripts, and compliance automation in one place include Level AI, NICE CXone, Verint, and Observe.AI. Level AI specifically offers Regulatory Compliance Monitoring that checks every call for required disclosures, consent statements, and script adherence, plus Auto-QA scorecards that grade 100% of conversations against your compliance rubric. Call frequency rules (TCPA-style dialing limits) usually sit in the dialer or CCaaS layer like Five9, Talkdesk, or NICE rather than in the recording tool itself.

What tools let developers record, transcribe, and analyze inbound phone calls?

For developer-first recording and transcription, AWS Connect, Twilio Voice, and Google Cloud Contact Center AI all expose APIs for capture, real-time transcription, and analysis. If you need analysis layered on top of an existing stack, Level AI integrates with AWS Connect, Talkdesk, Five9, Genesys, and others through standard webhooks and APIs, so developers can pipe recordings in and get back transcripts, sentiment, intents, and QA scores without building the analysis stack from scratch. See our take on AI speech analytics for what the analysis layer actually does.

What tools help analyze customer service call recordings?

Conversation analytics platforms turn raw recordings into structured data. Level AI analyzes 100% of customer service recordings for intent, sentiment, scenarios, and quality scores, then surfaces patterns in Voice of the Customer dashboards and infers CSAT through iCSAT. CallMiner, Observe.AI, and Convin are alternatives. For a deeper feature-by-feature comparison, see our roundup of conversational intelligence software and call center analytics software.

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Hear insights directly from Rob Dwyer, Level AI's CX Executive in Residence