7 Best Session Replay Tools in 2026

Have you ever tried to debug an issue you couldn’t reproduce?

A customer says the checkout button “just didn’t work.” Your logs show nothing obvious. Analytics shows drop-off, but not why. Engineering cannot replicate it. Product cannot see the friction.

This is the gap session replay tools are built to close.

Session replay tools record and reconstruct real user interactions across web and mobile applications. You can watch clicks, scrolls, navigation paths, console errors, and network failures exactly as users experienced them. What once required hours of back-and-forth between teams can often be understood in minutes.

But not all session replay tools are the same.

Some are built for engineering teams that need deep error correlation. Others focus on behavioral analytics for product and UX. Some prioritize privacy and compliance. Others are tightly integrated into broader observability platforms.

Choosing the right session replay tool is less about replay quality and more about how well it fits your team, stack, and goals.

This guide breaks down the key features, strengths, limitations, and pricing of the leading tools so you can decide which one fits your workflow.

What is a session replay tool?

A session replay tool is software that records user interactions on a website or application and plays them back as a reconstructed video-like recording. Session replay tools capture mouse movements, clicks, scrolls, form inputs, and page navigation. Most modern tools also capture console logs, network requests, JavaScript errors, and performance metrics alongside the visual replay.

Session replay tools are used by engineering teams to reproduce bugs, by product teams to identify drop-off points in funnels, and by UX teams to understand where users struggle. Unlike traditional analytics platforms like Google Analytics or Mixpanel, session replay tools show qualitative recordings of individual sessions rather than aggregate behavioral metrics.

What factors should you consider when choosing a session replay tool?

How deeply does the tool connect replay to error data?

The most useful session replay tools link recordings directly to JavaScript errors, failed network requests, and performance anomalies. Tools like LogRocket, Sentry, and OpenReplay attach replay context to each error occurrence so engineers do not need to search manually for the relevant session. Tools focused on UX analytics, like FullStory, offer weaker native error linkage but provide stronger behavioral analysis.

What are the privacy and compliance requirements?

Session replay captures sensitive user interactions by default. The right tool depends on your regulatory environment. Tools like Glassbox and OpenReplay offer automatic masking of PII, PCI, PHI, and NPI data. LaunchDarkly applies all privacy controls client-side, meaning no sensitive data is transmitted to its servers. For organizations in financial services, insurance, or healthcare, compliance-grade masking and audit capabilities are non-negotiable.

How is the tool priced?

Session replay tools use three main pricing models. Volume-based tools like LogRocket, Sentry, and Datadog charge per session or per 1,000 sessions. Capacity-based tools like OpenReplay's dedicated cloud charge by VM size rather than session count. Flat enterprise contracts like Glassbox charge an annual fee regardless of session volume. Volume-based pricing is predictable at low traffic but can escalate sharply at scale.

How easy is it to set up and migrate?

Drop-in tools like LogRocket, Sentry, and FullStory require adding a single JavaScript snippet or SDK to start capturing sessions. OpenReplay requires deploying infrastructure if self-hosting, though its cloud option is as simple as any competitor. Datadog requires a RUM base configuration before session replay can be enabled as an add-on.

Does the tool integrate with your current stack?

LogRocket integrates with Jira, Intercom, Datadog, Optimizely, and Google Analytics. Sentry integrates natively with its own error tracking, performance monitoring, and distributed tracing. OpenReplay integrates with Sentry, Datadog, Rollbar, Elastic, and AWS CloudWatch. Datadog integrates with its own full APM, infrastructure monitoring, and log management suite.

1. LogRocket

LogRocket offers two session replay products: Session Replay for Product, Design and Marketing, and Session Replay for Developers. Every session captures every user event and activity automatically, alongside user identification, metadata, and custom traits. The Galileo Highlights feature watches and summarizes sessions automatically so teams can diagnose what happened to a user without watching the full recording.

🌟 Key features

• Pixel-perfect session replay across web and native mobile applications
• Automatic capture of every user event and activity alongside user identification and metadata
• Galileo Highlights for AI-generated session summaries and issue diagnosis without full playback
• AI Error Tracking and AI Issues for automated error detection and prioritization
• Session search with 50+ filter options including user information, errors, and URLs
• User cohort building from session filters, usable across the LogRocket platform
• Product analytics and UX analytics for feature interactions and page changes
• Frontend performance monitoring for page load times, memory usage, and browser crashes
• Integrations with NPS tools, VoC tools, and issue management platforms
• Mobile SDK support for iOS and Android

➕ Pros

• Pixel-perfect replay accuracy means the recording shows exactly what the user saw
• Galileo Highlights surfaces the moments that matter without requiring full session review
• Session search across 50+ dimensions makes it practical to find specific user cohorts quickly
• Covers both engineering debugging and product and UX analysis in a single platform
• Wide integration ecosystem includes Jira, Intercom, Google Analytics, Datadog, and Optimizely

➖ Cons

• Two separate session replay products (developer vs. product and UX) can create instrumentation confusion
• Mobile replay is less mature than the web version
• Session-based pricing scales quickly for high-traffic applications
• Advanced analytics features require meaningful configuration time

💲 Pricing

LogRocket's Developer (free) plan includes 1,000 sessions/month with one-month data retention, limited to one user. The Team plan starts at $99/month for 10,000 sessions with five seats. The Professional plan starts at $349/month for 10,000 sessions and adds advanced filters, product analytics, clickmaps, heatmaps, scrollmaps, and alerting. Enterprise plans include custom session volume, seats, and retention with audit logs, RBAC, and data export. Mobile pricing is separate and starts at $199/month. A 14-day free trial is available for all paid tiers.

2. FullStory

FullStory is built around tagless autocapture, which records 100% of interactions without requiring developers to tag individual events. This means product teams can retroactively query any user behavior, even if they did not think to track it at instrumentation time. FullStory's GenAI session summaries generate context around a specific user's session with one click, making it easier for teams to understand and share insights.

🌟 Key features

• Tagless autocapture: automatic capture of all interactions with no per-event instrumentation required
• GenAI one-click session summaries for fast issue identification and team sharing without full playback
• Heatmaps, funnel analysis, and journey mapping alongside session replay
• Rage Click detection across all captured sessions
• Private by Default masking with customizable privacy settings for sensitive fields
• Tabbed browsing capture to track users across multiple browser tabs in a single session
• Omni-search for filtering sessions by any captured event, error, device, or form interaction
• Integrations with Sentry, Datadog, and Jira for cross-tool workflow support
• Shared notes, saved segments, and session links for cross-functional collaboration

➕ Pros

• Tagless autocapture eliminates the need for upfront event planning, which is a significant advantage over tag-based tools
• Rage Click detection and frustration signals are automatically surfaced without manual segment creation
• Strong search and filtering works across millions of sessions without performance degradation
• FullstoryFree (launched August 2025) includes 30,000 sessions/month, 12-month data retention, and up to 10 seats at no cost
• GDPR and CCPA compliant with a Private by Default masking approach

➖ Cons

• Console and network data is less granular than in developer-focused tools like LogRocket
• Backend correlation is not native and requires third-party integrations with Sentry or Datadog
• Enterprise pricing is custom and can be prohibitive for startups or small teams
• Initial configuration for complex single-page applications occasionally requires dedicated technical resources

💲 Pricing

FullstoryFree provides 30,000 sessions/month, 12-month data retention, and up to 10 users at no cost. Business and Enterprise paid plans are custom-priced based on session volume, features, and support level. A two-week trial with 5,000 sessions is available for teams evaluating paid tiers.

3. Sentry

Sentry approaches session replay differently from standalone tools. Instead of recording all sessions by default, Sentry links replay recordings directly to error occurrences so engineers can see exactly what the user was doing in the seconds before a crash. The setup requires a few additional lines of code for teams already instrumented with Sentry's SDK, making the migration cost extremely low.

🌟 Key features

• Session replay linked directly to error occurrences in the Sentry Issues workflow
• Console output, network calls, and DOM tree visible in the replay panel alongside the recording
• Rage Click and Dead Click detection for identifying unresponsive elements users engage with
• Private by Default: sessions prioritize user privacy with aggressive masking of all text and images
• Client-side PII masking applied before data is transmitted to Sentry servers
• Breadcrumbs timeline synchronized to the replay for sequential event context
• Seer: AI debugging agent for root cause analysis, automated fix generation, and code review
• Integration with Sentry's performance monitoring, profiling, distributed tracing, and cron monitoring
• Spike protection to prevent unexpected billing overages during traffic events
• Mobile session replay for iOS, Android, React Native, and Flutter

➕ Pros

• Near-zero additional setup for teams already using Sentry for error monitoring
• Client-side masking ensures sensitive data is never sent to Sentry servers, simplifying compliance
• Spike protection prevents runaway charges during high-traffic events
• Mobile replay supports iOS, Android, React Native, and Flutter in addition to all major web frameworks
• Seer AI debugging agent provides root cause analysis and automated fix suggestions on connected repos

➖ Cons

• Behavioral analytics and UX-level product analysis are not as deep as FullStory or LogRocket
• Mobile session replay is available but less mature on mobile than on web
• Replay volume is priced separately from error volume, which complicates budget estimation
• Seer AI debugger charges per active contributor rather than per seat, which can add up for larger teams

💲 Pricing

The Developer (free) plan includes 50 session replays and 5,000 errors per month, limited to one user. The Team plan starts at $26/month (billed annually) with 50,000 errors and 50 replays included, then scales via reserved volume and pay-as-you-go budgets. The Business plan is $80/month and adds SSO/SAML, 90-day insight lookback, and unlimited metric alerts. Replay and error volume are billed separately, with spike protection available on all plans.

4. OpenReplay

OpenReplay is the only major session replay platform with a fully open-source codebase available on GitHub. This means teams can audit the capture logic, modify the SDK, and contribute to the project. For organizations that require zero third-party data sharing, OpenReplay's self-hosted deployment is the only option among enterprise-grade replay tools that satisfies this requirement without negotiating a custom data processing agreement.

🌟 Key features

• Open-source codebase with full self-hosting support on all major cloud providers
• Session replay with DevTools-style access to network activity, JavaScript errors, and application state
• Cobrowse for live co-browsing support sessions alongside recorded replays
• kAI for AI-powered session summarization and automatic issue identification
• Spot: a Chrome extension for recording and sharing bugs with full technical context attached
• Heatmaps, funnels, and journey analysis in the same platform as replay
• Backend log sync integrations with Sentry, Datadog, Rollbar, Elastic, and AWS CloudWatch
• Dedicated cloud deployment with no session count limits or retention caps

➕ Pros

• Self-hosting means customer data never leaves the organization's own infrastructure
• Open-source codebase is auditable and forkable, which reduces vendor lock-in risk
• Cobrowse allows support teams to join a user's live session for real-time troubleshooting
• Dedicated cloud pricing is based on VM capacity rather than session volume, which is more predictable at scale
• All features are available across all plans with no premium feature tiers

➖ Cons

• Self-hosting requires infrastructure provisioning, maintenance, and operational overhead
• Cloud session-count pricing can add up for teams with moderate but growing traffic
• Some analytics features are less polished than leading commercial alternatives like FullStory
• Dedicated support requires a paid plan; the self-hosted community edition relies on Slack and forums

💲 Pricing

The self-hosted Community edition is free with community support. The cloud Free plan covers 1,000 sessions/month with 30-day retention and 2 users at no cost. The Serverless (pay-as-you-go) cloud plan starts at $5.95 per 1,000 sessions with unlimited users and 30-day retention. Dedicated cloud instances start at $200/month (O1, up to 50K sessions), $400/month (O2, up to 200K sessions), and $800/month (O3, up to 500K sessions), billed hourly with configurable retention. All features are included across all deployment options.

5. Glassbox

Glassbox is built around tagless data capture, which records 100% of interactions across web and mobile applications without any manual event instrumentation. Its Session Vault feature enables indefinite session retention, which is a capability that no other major session replay vendor currently offers. Glassbox is trusted by 60% of the largest US-based banks and enterprises including Air Canada and Marriott Hotels.

🌟 Key features

• Tagless data capture recording 100% of interactions with no manual event tagging
• Session Vault for indefinite retention beyond standard 30 or 90-day windows
• Augmented Journey Maps for cross-touchpoint customer journey visualization
• GIA (Glassbox Intelligence AI) for AI-powered report summaries and anomaly detection
• Struggle score and frustration signal detection including rage clicks and form abandonment
• Full support for web, mobile, React Native, Flutter, and single-page applications
• Voice of Customer feedback collection linked directly to session replays and revenue impact metrics
• Hybrid, single-tenant, and multi-tenant deployment options
• Automatic masking for PII, PCI, PHI, and NPI data

➕ Pros

• Exceptionally detailed AJAX and API call visibility per session, which users consistently highlight as a differentiator
• Session Vault for indefinite retention is unique in the market and is directly valuable for compliance use cases
• AI anomaly detection surfaces issues without requiring manual monitoring across large session volumes
• CRM and support system integrations allow teams to replay sessions directly from customer records
• Flexible deployment options support the strictest regulatory environments

➖ Cons

• Pricing requires a sales conversation with no public rate card or self-service trial
• Data depth can be overwhelming for teams without a dedicated analyst
• Some users report incomplete sessions and occasional slowdowns when working with very large datasets
• Default retention windows are short and require Session Vault for long-term storage
• The pricing floor makes it unsuitable for startups or small teams

💲 Pricing

Glassbox pricing is structured by session volume, users, or analyzed data and is available on request. Based on publicly available market data, pricing starts around $15,000/year for smaller implementations. Deployment model affects the final cost. No free tier or self-service trial is available.

6. LaunchDarkly

LaunchDarkly acquired Highlight, an open-source full-stack monitoring platform, in April 2025 and integrated its session replay, error monitoring, logging, and tracing capabilities into the LaunchDarkly Observability platform. Session replay is available as a plugin to the LaunchDarkly JavaScript SDK for web applications, with native iOS and Android mobile SDKs added in 2025. The key differentiator is flag-aware session filtering: teams can search for sessions where a specific flag evaluated to true and watch exactly what users experienced during a rollout.

🌟 Key features

• Session replay integrated into the LaunchDarkly Observability platform alongside error monitoring, logs, and traces
• Flag-aware sessions: filter replays by feature flag key, evaluated value, experiment membership, and context attributes
• Shadow DOM and Web Components support for modern frontend architectures
• Rich search attributes including has_errors, has_rage_clicks, pages_visited, active_length, and feature_flag
• Deep linking to specific sessions or saved search queries via URL parameters for team sharing
• Ingestion filters and rate limiting to control capture volume and associated costs
• Client-side data obfuscation and redaction applied before data reaches LaunchDarkly servers
• getSession() SDK method returning url and urlWithTimestamp for linking to the exact moment an event occurred

➕ Pros

• Flag-aware session filtering is unique across all session replay tools and is directly useful during feature rollouts
• Client-side privacy enforcement prevents sensitive data from reaching LaunchDarkly servers
• urlWithTimestamp makes it simple to link an error log or support ticket to the precise moment in a session
• Teams already on LaunchDarkly can access replay without an additional vendor relationship
• The search specification supports complex multi-attribute queries including regex expressions

➖ Cons

• Only web (JavaScript SDK plugin) is currently supported for web; native iOS and Android mobile SDKs for Session Replay were released in 2025
• Less mature as a replay platform than dedicated tools like LogRocket or FullStory
• Teams that only need session replay may find the LaunchDarkly platform subscription excessive
• DevTools panel and analytics depth are not yet at the level of developer-focused competitors

💲 Pricing

Session replay is included within the LaunchDarkly Observability suite as part of the platform subscription. Pricing is not published publicly. Teams already on LaunchDarkly plans can evaluate session replay within their existing subscription by contacting sales for access.

7. Datadog

Datadog is a comprehensive observability platform covering infrastructure monitoring, APM, log management, security, and real user monitoring. Its session replay capability connects frontend user behavior to backend distributed traces so engineers can follow a user's session from a button click through the API call, to the database query, and to the infrastructure event that caused the slowdown. This level of correlation is not available in any standalone session replay tool.

🌟 Key features

• Session replay as an add-on to Datadog Real User Monitoring (RUM)
• Direct correlation of session recordings with APM traces, logs, and infrastructure metrics
• Click maps, scroll maps, and top elements heatmaps with three visualization modes
• RUM without Limits: 100% session capture with customizable retention filters
• Extended retention options up to 15 months from the standard 30-day default
• Role-based access control and data masking for enterprise compliance requirements
• Alerting and anomaly detection tied directly to RUM performance signals
• Single platform connecting frontend session replay to backend distributed traces

➕ Pros

• Full-stack correlation from a user click to a backend distributed trace is not available in standalone replay tools
• RUM without Limits enables 100% session capture with customizable retention rather than sampling
• RBAC and data masking satisfy strict enterprise compliance and security requirements
• Existing Datadog monitors and alerts can incorporate RUM performance signals without additional configuration
• Retention up to 15 months supports long-term analysis and compliance use cases

➖ Cons

• Session replay requires the Browser RUM and Session Replay plan and is not available as a standalone product
• Pricing can compound significantly at high session volumes when combined with APM, logs, and infrastructure
• Multiple product layers make budget forecasting harder than simpler per-session tools
• Not suitable for teams that only need frontend replay without broader observability investment
• Setup and configuration is more involved than drop-in tools like LogRocket or Sentry

💲 Pricing

Datadog RUM pricing has two tiers: the Browser RUM plan at $1.50 per 1,000 sessions (billed annually) covers performance monitoring without replay, and the Browser RUM and Session Replay plan at $1.80 per 1,000 sessions (billed annually) adds session recordings, heatmaps, and advanced privacy controls. On-demand rates are $2.20 and $2.60 per 1,000 sessions respectively. Session Replay default retention is 30 days, with an extended retention option up to 15 months. Enterprise customers receive custom pricing and dedicated support.

Final thoughts

So which session replay tool should you choose?

If you want pixel-perfect replay with AI triage, choose LogRocket. If you care most about behavioral analytics and conversion insights, choose FullStory. If you already use Sentry, adding replay keeps debugging in one place. If data sovereignty matters most, choose OpenReplay.

We hope this guide helped you clarify what matters most for your use case and narrow down the right fit.

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