11 Best Speech Analytics Tools for Smart CX Teams

By
Liliana Osorio
Last Updated:
July 2, 2026
Reading time:
10 minutes

Quick Summary

Chattermill is the strongest choice for CX teams needing AI speech analytics tools unified with surveys, support, and reviews, connecting every call insight to NPS, churn, and revenue. CallMiner leads for enterprise-scale post-call analysis and compliance. Observe.AI is the go-to for automating contact center QA and agent coaching at scale.

Before we go deeper, here are the frontrunners:

What Are the Best Speech Analytics Tools?

Every call your support team handles contains signals.

Your customers are communicating product issues, pain points, and unmet needs.

But no team can manually review thousands of calls a week.

The best AI speech analytics tools analyze tone, detect themes, and score agent performance. Additionally, they flag compliance risks, and connect voice insights to the metrics that matter: NPS, CSAT, churn, and revenue.

Below, we cover 11 leading platforms for 2026.

Why Listen To Us?

Chattermill drives customer experience intelligence for global brands like Uber, HelloFresh, and Booking.com. It unifies feedback across every channel, including voice. We use voice data and other channel insights to improve retention, product decisions, and measurable business outcomes. These recommendations come from over a decade of proven CX experience.

11 Best Speech Analytics Tools Quick Comparison

Here’s a quick glance at the leading speech analytics tools available today.

Let’s look at each tool in detail.

1. Chattermill

Chattermill is more than a speech analytics tool.

It feeds call data into the same Lyra AI engine that processes surveys, tickets, reviews, and social feedback. The result is a single, unified view of the customer across every channel. Unlike tools that output transcripts in isolation, Chattermill connects call themes directly to NPS, CSAT, retention, and revenue.

The platform’s rapid, accurate speech-to-text technology saves countless hours of manual analysis. Furthermore, it offers multilingual support for 100+ languages. Its automatic speaker identification capability separates agent and customer voices for cleaner analysis.

Key Features

• Lyra AI Engine: Extracts granular themes and sentiment from call audio at scale
• Unified Analytics: Combines speech data with surveys, tickets, and reviews automatically
• Business Impact Mapping: Links call insights directly to NPS, churn, and revenue metrics
• Multilingual Transcription: Covers 100+ languages with post-processing for brand-name accuracy
• Speaker Identification: Separates agent and customer voices for cleaner analysis

Pricing

Custom pricing. Contact Chattermill for a quote.

Pros

• Unifies voice with all other feedback channels
• Connects every insight to business metrics
• Trusted by enterprise brands at a global scale

Cons

• Unsuitable for small businesses
• Needs minimum volume

G2 Rating

4.5/5

Best For

CX, VoC, and Product teams at $100M+ businesses needing unified cross-channel insight.

2. CallMiner

CallMiner's Eureka platform covers voice, chat, email, and text in one place.

It scores 100% of the volume automatically. No sampling required. Compliance risk is surfaced in real time. CallMiner GPT, added in 2025, lets analysts query interaction data in plain English. The trade-off is real though.

The learning curve is steep, and legacy architecture can slow the adoption of newer AI features.

Key Features

• Omnichannel Conversation Analytics: Analyzes voice, chat, email, and text in one platform
• Automated QA Scoring: Scores 100% of interactions without manual reviewer intervention
• Compliance Monitoring: Detects regulatory risk in real time across all calls
• CallMiner GPT: Natural language queries surface interaction insights instantly
• Sentiment Trend Analysis: Tracks customer emotion patterns across campaigns and time periods

Pricing

Custom usage-based or seat-based enterprise pricing.

Pros

• Wide breadth of omnichannel data coverage
• Proven at enterprise scale
• Strong compliance and risk detection

Cons

• Steep learning curve for new users
• Legacy architecture slows AI adoption

G2 Rating

4.5/5 (223 Reviews)

Best For

Large enterprises needing deep omnichannel analytics and compliance monitoring.

3. Observe.AI

Observe.AI was built for contact centre QA teams ready to ditch manual call sampling.

It analyzes 100% of interactions, scores each one automatically, and flags the moments that matter most. Coaching workflows are built in. Supervisors get personalized sessions without digging through recordings.

Real-time Agent Assist bridges post-call analysis and live performance, giving agents guidance as conversations unfold. Users consistently rate the interface as intuitive and fast to onboard.

Key Features

• Automated Call Scoring: Evaluates 100% of calls against custom QA scorecards automatically
• Agent Coaching Workflows: Creates personalized coaching sessions based on flagged call moments
• Real-time Agent Assist: Provides live in-call guidance based on conversation context
• Compliance Detection: Flags regulatory and policy violations across all recorded interactions
• Conversation Sentiment Analysis: Tracks customer emotion and frustration signals throughout each call

Pricing

Custom pricing per-seat or usage-based.

Pros

• Intuitive interface, fast onboarding
• Strong automated QA capabilities
• Bridges post-call and real-time analysis

Cons

• Limited breadth beyond contact centre use cases
• Advanced customization is time-consuming

G2 Rating

4.6/5 (236 Reviews)

Best For

Contact centres focused on QA automation and agent coaching at scale.

4. Gong

Gong is the go-to AI speech analytics platform for revenue teams.

It captures every sales conversation, including calls, video meetings, and emails. It applies AI to find what separates wins from losses. Sales leaders can see what top performers do differently. Plus, it flags deal risk automatically.

It is not built for support or compliance use cases. But it’s perfect for B2B sales organisations with complex motions.

Key Features

• Revenue Intelligence: Connects call data to pipeline health and deal forecast accuracy
• Deal Risk Detection: Flags stalled or at-risk opportunities based on conversation signals
• Sales Coaching: Surfaces talk time, objection patterns, and competitor mentions by rep
• CRM Auto-Sync: Updates Salesforce and HubSpot records automatically from call insights
• Conversation Benchmarking: Compares rep performance against team and industry norms

Pricing

Custom per-user pricing.

Pros

• Best-in-class for sales teams
• Highly accurate conversation insights
• Strong CRM and revenue tool integrations

Cons

• Expensive at scale
• Not suited for support call analytics

G2 Rating

4.6/5 (236 Reviews)

Best For

Revenue and sales teams optimizing deal performance and rep coaching.

5. Invoca

Invoca is built for one question: which campaigns are driving calls that actually convert?

Its Signal AI classifies call outcomes and intent automatically. That data is then pushed back into Google Ads, Meta, Salesforce, and other platforms. This approach closes the attribution loop between digital spend and offline results.

It's an ideal attribution tool where phone calls are a critical conversion moment. Think healthcare, automotive, and retail businesses.

Key Features

• Call Attribution Tracking: Maps each inbound call to the digital journey that triggered it
• Conversation Intelligence: Classifies call outcomes and intent using Signal AI automatically
• Marketing Integrations: Pushes call data to Google Ads, Meta, Salesforce, and other platforms
• Dynamic Number Insertion: Tracks call sources at the keyword and session level for precise attribution
• Call Scoring Automation: Evaluates lead quality and conversion likelihood without manual review

Pricing

Custom pricing. Contact Invoca for a quote.

Pros

• Best call attribution in the market
• Deep martech integrations
• Strong support and onboarding

Cons

• Narrow use case, not a full QA tool
• Pricing opacity for smaller teams

G2 Rating

4.5/5 (963 Reviews)

Best For

Marketing and revenue operations teams linking inbound calls to campaign performance.

6. Verint Speech Analytics

Verint is built for organisations where compliance and accuracy are non-negotiable.

Its Exact Transcription Bot delivers speaker-separated transcripts across 100% of call volume. The Genie Bot lets analysts query unstructured call data in plain English. No report writing required.

Importantly, PII redaction is built in. It strips sensitive data like card numbers and social security information automatically. For financial services, insurance, and healthcare teams, that is table stakes.

Key Features

• Exact Transcription Accuracy: Delivers speaker-separated transcripts for 100% of call volume
• Compliance Detection: Automatically flags regulatory risk and sensitive information in calls
• GenAI Analyst Queries: Genie Bot allows natural language questions on unstructured call data
• PII Redaction: Strips sensitive data from transcripts automatically without add-ons
• Sentiment Trend Monitoring: Identifies coaching opportunities and warning patterns proactively

Pricing

Custom pricing which varies depending on features, scalability, and deployment type.

Pros

Exceptional transcription accuracy

Built-in compliance and PII redaction

Strong analytics reporting

Cons

• Integration issues with third-party tools
• Best value inside the full Verint suite only

G2 Rating

4.4/5 (88 Reviews)

Best For

Regulated enterprises needing compliance-grade transcription and PII protection.

7. NICE CXone

NICE CXone bundles AI speech analytics into a full cloud contact centre suite.

Its Mpower AI layer automates QA scoring, sentiment analysis, and keyword detection. Routing, scheduling, virtual agents, and analytics all sit in one platform. Few tools match that breadth.

The trade-off is complexity. Setup takes time. And the pricing reflects the full stack rather than standalone analytics.

Key Features

• Omnichannel Routing: Manages voice, chat, email, and social interactions in one environment
• Workforce Management: Integrates scheduling, adherence, and forecasting with analytics
• AI-powered QA: Automates interaction scoring and compliance monitoring at scale
• Virtual Agent Integration: Connects live agent analytics with AI-powered self-service workflows
• Real-time Dashboards: Surface performance data to supervisors and agents simultaneously

Pricing

Starts from $110/agent per month.

Pros

• Full contact centre suite in one platform
• Strong scalability for large teams
• Broad channel coverage

Cons

• Complex setup and configuration required
• Premium pricing for full feature access

G2 Rating

4.3/5 (1,728 Reviews)

Best For

Large enterprises managing omnichannel contact centre operations end-to-end.

8. Enthu.AI

Enthu.AI is the most accessible AI speech analytics tool on this list.

It is designed for growing teams that want enterprise-grade call analysis without a lengthy implementation. Setup is fast. It also integrates with most cloud telephony systems in minutes. Every call is scored automatically, scorecards are generated, and coaching playlists are ready from day one.

For teams still listening to calls manually, the ROI is immediate.

Key Features

• Auto Call Evaluation: Scores every call against configurable QA criteria without manual review
• Agent Scorecards: Tracks individual and team performance trends over time
• Coaching Playlists: Clips call moments into targeted coaching sessions for each agent
• Rapid Deployment: Integrates with cloud telephony in minutes with minimal technical setup
• Performance Dashboards: Visualises QA trends and team coaching progress in one view

Pricing

Contact Enthu for a quote.

Pros

• Fast and simple to deploy
• Strong value for SMB teams
• Regular feature releases

Cons

• Limited advanced integrations
• Language support is less extensive than enterprise tools

G2 Rating

4.9/5 (41 Reviews)

Best For

SMB and mid-market call centres scaling QA without large teams.

9. Talkdesk

Talkdesk is a cloud-native contact centre platform with AI speech analytics baked in.

Calls are transcribed automatically and made fully searchable. Automated QA scorecards evaluate agent performance without manual review. Real-time dashboards give supervisors instant visibility into the queue and quality trends.

The analytics work best for teams already on the Talkdesk platform. As a standalone analytics play, more purpose-built tools have the edge.

Key Features

• Cloud-Native Contact Centre: Deploys fully in the cloud with no on-premise infrastructure needed
• AI-Powered Transcription: Converts calls to searchable text automatically across all interactions
• Real-Time Dashboards: Gives supervisors live visibility into the queue and quality metrics
• Automated QA Scorecards: Evaluates agent calls against custom criteria without manual review
• Workforce Management Integration: Connects analytics data to scheduling and capacity planning tools

Pricing

Request a quote from the Talldesk team.

Pros

• Clean, modern interface
• Fast cloud deployment
• Good native analytics for existing users

Cons

• Analytics best within the Talkdesk ecosystem
• Higher cost tiers for advanced AI features

G2 Rating

4.4/5 (2,502 Reviews)

Best For

Cloud-first contact centres wanting native AI analytics within their CCaaS platform.

10. Chorus (ZoomInfo)

Chorus, now part of ZoomInfo, records and transcribes sales calls and video meetings.

AI surfaces deal momentum signals and buyer intent across every conversation. Additionally, CRM updates happen automatically. It also logs call summaries and next steps to Salesforce without rep input.

For ZoomInfo customers, it extends prospect intelligence naturally into call analytics. As a standalone purchase, it is expensive.

Key Features

• Sales Call Transcription: Records and transcribes calls and video meetings with AI accuracy
• Deal Intelligence: Identifies buyer intent signals and deal risk across all conversations
• CRM Auto-Updates: Logs call summaries and next steps to Salesforce automatically
• Coaching Libraries: Clips call moments into searchable training content for sales teams
• Competitor Mention Tracking: Flags and analyzes competitor mentions across all recorded calls

Pricing

Custom pricing.

Pros

• Tight ZoomInfo data integration
• Strong deal intelligence features
• Good coaching library tools

Cons

• Best value only for ZoomInfo customers
• Gong leads on standalone sales analytics

G2 Rating

4.5/5 (2,988 Reviews)

Best For

B2B sales teams already in the ZoomInfo ecosystem.

11. Balto

Balto is different from every other tool on this list.

It does not analyze calls after they end. The platform listens live and guides agents in the moment. An objection comes up? Balto surfaces the recommended response instantly. A compliance disclosure gets missed? Balto prompts before the call ends.

It is highly rated on G2, showing real immediate impact on call outcomes. For deep post-call theme analysis or cross-channel insight, you will need to pair it with something broader.

Key Features

• Real-Time Agent Guidance: Surfaces AI-powered prompts to agents during live calls instantly
• Live QA Scoring: Automatically evaluates call quality as the conversation unfolds
• Compliance Prompts: Flags missing disclosures or policy gaps before the call ends
• Coaching Playbooks: Delivers personalized coaching moments based on real call behaviour
• Automated QA Workflows: Reviews 100% of calls without manual reviewer time required

Pricing

Custom pricing based on the number of seats you need and your contract length.

Pros

• Solid reputation with an impressive G2 rating
• Immediate, in-call impact on performance
• Fast deployment, minimal setup

Cons

• Limited for deep post-call theme analysis
• Less suited to cross-channel analytics needs

G2 Rating

4.8/5 (575 Reviews)

Best For

Teams wanting live agent coaching and compliance guidance during every call.

Go Beyond AI Speech Analytics for a Complete CX Strategy

Voice calls are only one piece of the CX puzzle.

Customer feedback is scattered across surveys, support tickets, and social media. When insights are siloed, you miss the full story. You can’t clearly see why customers churn, what they want, or how trends impact revenue.

The next generation of AI speech analytics goes beyond call data analysis. It connects every feedback channel into one unified view. That’s exactly what Chattermill delivers.