Most contact centres still review only 2% to 5% of their calls manually, which means the overwhelming majority of what customers say and how agents respond goes completely unmeasured. Voice analytics software fixes this by listening to every call instead of a sample, turning tone, pace, silence and word choice into data a manager can act on.
Picking the right one is not just about a feature checklist. The tools in this space differ on how deep they go into the acoustic side of a call, whether they work on SIM-based mobile calling or only VoIP, and whether insights actually reach the people who can act on them, such as coaches, QA teams and compliance officers. Voice analytics is also closely tied to the broader category of contact center analytics software, so it helps to know exactly where voice-specific analysis fits before you buy.
This list covers the 8 best voice analytics software options, chosen using the factors below, with Runo leading as the strongest overall option for teams that need both call connectivity and voice intelligence in one platform.
How We Picked These Tools
Every tool on this list was judged against the same set of factors, so the comparison actually means something instead of being a random collection of logos.
- Depth of voice analysis, meaning tone, pitch, pace and emotional signal detection, not just transcription
- Whether the tool works on SIM-based or mobile calling, or only on VoIP and web meetings
- How insights reach action, such as coaching workflows, QA scoring and compliance alerts
- Real-time versus post-call analysis, and whether the tool supports both
- Pricing transparency and whether a real starting price is published
The 8 Best Voice Analytics Software Tools
Here is the shortlist, starting with the strongest overall option.
- Runo, best overall for SIM-based calling teams with built-in voice analytics
- CallMiner, best for enterprise contact centres needing deep post-call analysis
- NICE, best for large, complex contact centres already on NICE CXone
- Verint, best for regulated industries needing compliance-grade voice analysis
- Observe.AI, best for teams automating QA away from manual sampling
- Genesys, best for teams already running on Genesys Cloud CX
- CloudTalk, best for SMBs that want calling and voice analytics bundled together
- Convin, best for Indian teams wanting real-time and post-call voice analytics
1. Runo – Best Overall Voice Analytics Software
Runo is a SIM-based Call Management CRM with voice analytics built directly into every call, not bolted on as a separate module. Unlike most tools on this list that only work on VoIP or cloud telephony, Runo analyses calls made through the device’s actual SIM card, which means voice analytics works even on regular mobile network calls, not just internet-based ones.
Every call is automatically recorded and analysed the moment it ends. The AI evaluates tone, pace, sentiment and compliance language without a bot joining the call or any manual setup per session. This makes it especially useful for telecalling and mobile-first sales teams where most calls happen over a standard cellular connection rather than a softphone.
- SIM-based and cloud calling with voice analytics built in, not an add-on
- AI Call Summaries and a Call Quality Score out of 100 generated automatically after every call
- Sentiment analysis tracking agent and customer tone separately
- Custom AI Scorecard so managers can define their own evaluation criteria
Pricing: Starts at ₹199/user/month with a 10-day free trial.
See the full breakdown on the Runo AI call summary page .
G2 rating: 4.3/5
Best for: Telecalling and mobile-first outbound sales teams that need voice analytics on SIM and cloud calls in one platform. Teams that also want calling, lead management and CRM in the same app can read our guide to the best outbound calling CRM.
2. CallMiner
CallMiner has been in the speech and voice analytics space for years, and it shows in the depth of its post-call analysis. The Eureka engine processes voice, chat and digital interactions, applying custom scoring and root cause analysis across large volumes of conversations.
- Root cause analysis across 100% of interactions
- Automated scorecards without manual review of every call
- Compliance monitoring that flags regulatory deviations
Pricing: Custom pricing, module-based enterprise licensing.
- Sentiment and topic detection across voice and digital channels
G2 rating: 4.6/5
Best for enterprise contact centres with dedicated analytics teams that need deep, configurable voice and speech analysis at scale.
3. NICE
NICE sits inside a broader workforce optimisation suite, and its voice analytics uses a combination of phonetic search and transcription-based analysis. This dual approach gives it an accuracy advantage in environments with varied accents or heavy background noise.
- Nexidia Analytics combines phonetic and transcription-based search
- Deep learning sentiment detection across conversation shifts
- Direct connection to scheduling, performance and quality workflows
- Compliance and quality management inside the NICE CXone environment
G2 rating: 4.3/5
Best for large, complex contact centres already running NICE CXone that need voice analytics tied to workforce management without a separate integration.
4. Verint
Verint is built for organisations where compliance is not optional. The platform ships with pre-configured voice and conversation models for financial services, healthcare and other regulated sectors, so what gets said on a call carries measurable legal weight.
- Pre-built industry compliance models
- Real-time compliance detection with automatic flagging
- Modular AI capabilities across transcription, scoring and coaching
- Speaker-separated transcription with conversation playback
G2 rating: 4.3/5
Best for regulated industries like financial services and healthcare where automated compliance detection needs to scale without adding headcount.
5. Observe.AI
Observe.AI is built around the idea that reviewing 2% to 5% of calls manually is not a reliable quality program. It evaluates every interaction and ties voice and performance scores to specific moments in the conversation, so coaching is grounded in evidence.
- 100% interaction coverage without manual sampling
- Moment-level scoring linked to specific points in a call
- Real-time agent guidance during live conversations
- Automated QA scoring with human calibration controls
G2 rating: 4.6/5
Best for teams moving away from manual call sampling toward full, AI-driven QA coverage.
6. Genesys
Genesys is a contact centre platform first, with voice analytics built in rather than bolted on. For organisations already running Genesys Cloud CX, that means one less vendor and one less integration to manage.
- Native voice analytics inside the existing CCaaS platform
- Predictive engagement connecting voice signals to journey orchestration
- Omnichannel coverage across voice, messaging and digital
- Empathy and sentiment detection tied to quality and performance reporting
G2 rating: 4.3/5
Best for teams already invested in Genesys Cloud CX who want analytics without adding a separate procurement process.
7. CloudTalk
CloudTalk combines a cloud calling system with voice analytics natively, so smaller teams do not need to run a separate analytics tool alongside their phone system. Pricing starts far lower than most enterprise options on this list.
- AI-powered call summaries and automatic tagging
- Real-time sentiment analysis flagging critical moments
- Global calling across 160-plus countries with two-way CRM sync
- Talk-to-listen ratio and topic extraction
Pricing: Starts at $19 per user per month.
G2 rating: 4.4/5
Best for growing SMBs that want a reliable phone system and voice analytics bundled into a single, affordable subscription.
8. Convin – Best for Indian Teams Wanting Real-Time and Post-Call Voice Analytics
Convin is an India-built conversation intelligence platform that analyses voice and digital interactions for both real-time agent guidance and post-call QA. It suits Indian contact centres and sales teams that want automated quality scoring and coaching in one tool, with support for regional languages a global vendor may not prioritise.
- Automated QA scoring across 100% of calls
- Real-time agent assist with live prompts during conversations
- Sentiment analysis and behavioural pattern detection
- Multi-language support suited to Indian contact centres
Pricing: Custom, quote-based.
G2 rating: 4.6/5
Best for: Indian contact centres and BPOs that want real-time guidance and post-call QA from a single conversation intelligence platform.
Quick Comparison: Best Voice Analytics Software
Here is how the eight tools compare on the factors that matter most, analysis type, whether they support SIM or mobile calls, starting price and G2 rating, so you can shortlist the right fit at a glance.
| Tool | Best For | Analysis Type | SIM / Mobile Calls | Starting Price | G2 Rating |
| Runo | SIM-based calling with built-in voice analytics | Post-call (auto) | Yes | ₹199/user/month | 4.3/5 |
| CallMiner | Enterprise post-call analysis at scale | Post-call + real-time | VoIP only | Custom | 4.6/5 |
| NICE | Large contact centres on NICE CXone | Post-call + real-time | VoIP only | Custom | 4.3/5 |
| Verint | Regulated industries needing compliance | Post-call + real-time | VoIP only | Custom | 4.3/5 |
| Observe.AI | Automating QA away from manual sampling | Post-call + real-time | VoIP only | Custom | 4.6/5 |
| Genesys | Teams already on Genesys Cloud CX | Post-call + real-time | VoIP only | Custom | 4.3/5 |
| CloudTalk | SMBs wanting calling + analytics bundled | Post-call + real-time | VoIP only | $25/user/month | 4.4/5 |
| Convin | Indian teams wanting real-time + post-call | Post-call + real-time | VoIP only | Custom | 4.6/5 |
The SIM / Mobile column is worth pausing on: it is the one row where a single tool stands apart. Every enterprise platform here analyses VoIP and softphone calls only, so if your team dials from mobile SIMs, Runo is the one option that captures and analyses those calls at all.
Key Features to Look for in Voice Analytics Software
Beyond the vendor you pick, these are the capabilities that separate a tool that genuinely changes performance from one that just produces dashboards:
- Transcription and tone accuracy : The analysis is only as good as the transcription underneath it. So, check accuracy on your own accents, languages and background noise before committing, this is the single most common complaint across every enterprise tool.
- Sentiment and emotion detection: Look for tools that track agent and customer tone separately, so you can see not just that a call went badly, but also who drove it.
- Compliance monitoring: Automatic flagging of missing disclosures or prohibited language turns compliance from a manual audit into an established background process.
- Coaching workflow integration: Insight only matters if it reaches a coach. So, invest in tools that turn call findings into coaching priorities and not just reports.
- Coverage: A tool that analyses 100% of calls will always beat one reviewing a 2% sample. Full coverage is the point of voice analytics.
- Language and channel support: If you run multilingual or multi-channel support, confirm analysis quality holds up outside English and outside voice.
If used well, voice analytics moves QA coverage from the industry-standard 2% to 5% of calls all the way to 100%, catches compliance risk before it becomes exposure, and grounds coaching in evidence instead of the handful of calls a manager happened to overhear. That combination is why voice analytics has shifted from a nice-to-have to a core part of the modern call center analytics stack.
Conclusion
Voice analytics stops being a nice-to-have once a team is making enough calls that manual review cannot keep up. The right choice depends mostly on how your team calls and how deep you need the analysis to go. Enterprise platforms like CallMiner, NICE and Verint go deepest for large VoIP-based operations, while Runo remains the strongest overall pick for teams that call on SIM-based or mobile connections and need voice analytics, lead management and CRM in a single app.
If you are still shaping the wider stack around it, our guides to the top cloud call center solutions and the best CRM for telemarketing cover the platforms voice analytics runs on.
Frequently Asked Questions
What is voice analytics software?
Voice analytics software analyses the acoustic and verbal characteristics of a call, including tone, pace, pitch and sentiment, to surface insights about agent performance and customer experience without a human listening to every recording.
Is voice analytics different from speech analytics?
Speech analytics focuses mainly on the words spoken, while voice analytics goes further into how something was said, covering tone, pace, silence and emotional indicators. Many modern platforms blend both under one label.
Does voice analytics software work with SIM-based or mobile calls?
Most platforms on this list, including NICE, Verint and CallMiner, are built for VoIP and cloud telephony. Runo is the exception, since it analyses calls made through the device’s actual SIM card as well as cloud calls.
How much does voice analytics software cost?
Pricing ranges widely. CloudTalk starts at $19 per user per month and Runo starts at ₹199/user/month, while enterprise platforms like NICE, Verint and CallMiner generally require a custom quote based on interaction volume and modules needed.