Set Up Session Replay

Learn how to enable Session Replay in your app if it is not already set up.

Session Replay helps you get to the root cause of an error or latency issue faster by providing you with a video-like reproduction of what was happening in the user's browser before, during, and after the issue. You can rewind and replay your application's DOM state and see key user interactions, like mouse clicks, scrolls, network requests, and console entries, in a single combined UI inspired by your browser's DevTools.

By default, our Session Replay SDK masks all DOM text content, images, and user input, giving you heightened confidence that no sensitive data will leave the browser. To learn more, see Session Replay Privacy.

Session Replay requires your SDK to be version 7.27.0 or higher. If you're on an older version, please check the migration document.

Session Replay requires Node 12+, and browsers newer than IE11.

The Replay integration is already included with the React SDK package.

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npm install @sentry/react --save

To set up the integration, add the following to your Sentry initialization. There are several options you can pass to the integration constructor. See the configuration documentation for more details.

Add replayIntegration() to your initialization and configure the sample rates.

Testing tip: Set replaysSessionSampleRate: 1.0 during development to capture all sessions.

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import * as Sentry from "___SDK_PACKAGE___";

Sentry.init({
  dsn: "___PUBLIC_DSN___",

  // This sets the sample rate to be 10%. You may want this to be 100% while
  // in development and sample at a lower rate in production
  replaysSessionSampleRate: 0.1,

  // If the entire session is not sampled, use the below sample rate to sample
  // sessions when an error occurs.
  replaysOnErrorSampleRate: 1.0,

  integrations: [Sentry.replayIntegration()],
});

By default, Replay masks all text and blocks media. Customize privacy settings based on your needs.

See Session Replay Privacy for all options.

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Sentry.replayIntegration({
  // Text masking (default: true)
  maskAllText: true,

  // Block images/videos (default: true)
  blockAllMedia: true,

  // Mask specific inputs
  maskAllInputs: true,
}),

Personally identifiable information (PII) and privacy are important considerations when enabling Session Replay. There are multiple ways in which Sentry helps you avoid collecting PII, including:

  • Masking, which replaces text content with something else (the default behavior being to replace each character with a *).
  • Making network request and response bodies opt-in, to avoid capturing endpoints that may contain PII.

For static websites without sensitive data, you can opt out of the default masking and blocking settings.

Load Replay only when needed instead of at startup. Useful for reducing initial bundle size.

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Sentry.init({
  // Note, Replay is NOT instantiated below:
  integrations: [],
});

// Sometime later
import("@sentry/react").then((lazyLoadedSentry) => {
  Sentry.addIntegration(lazyLoadedSentry.replayIntegration());
});

Add replayCanvasIntegration() to record HTML canvas elements. This is opt-in and tree-shaken from your bundle if not used.

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import * as Sentry from "@sentry/react";

Sentry.init({
  dsn: "___PUBLIC_DSN___",
  replaysSessionSampleRate: 0.1,
  replaysOnErrorSampleRate: 1.0,

  integrations: [
    // Keep the Replay integration as before
    Sentry.replayIntegration(),

    // The following is all you need to enable canvas recording with Replay
Sentry.replayCanvasIntegration(),
], });

For 3D/WebGL canvases, the integration needs preserveDrawingBuffer to export images, which can affect performance. To avoid this, enable manual snapshotting and call snapshot() inside your paint loop.

Call snapshot() in the same execution loop as draw commands to avoid capturing empty buffers.

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// Step 1: Enable manual snapshotting
Sentry.replayCanvasIntegration({
  enableManualSnapshot: true,
});

// Step 2: Call snapshot in your paint loop
function paint() {
  const canvasRef = document.querySelector("#my-canvas");
  Sentry.getClient()
    ?.getIntegrationByName("ReplayCanvas")
    ?.snapshot(canvasRef);
}

WebGPU canvas textures expire after the current task completes. Use skipRequestAnimationFrame: true to capture immediately after rendering.

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// Step 1: Enable manual snapshotting
Sentry.replayCanvasIntegration({
  enableManualSnapshot: true,
});

// Step 2: Snapshot immediately after rendering
function paint() {
  const canvasRef = document.querySelector("#my-canvas");
  const canvasIntegration =
    Sentry.getClient()?.getIntegrationByName("ReplayCanvas");

  // ... your WebGPU rendering commands ...

  // Capture immediately - required for WebGPU
  canvasIntegration?.snapshot(canvasRef, {
    skipRequestAnimationFrame: true,
  });
}

Session Replay uses a WebWorker for compression off the main UI thread. Add these CSP entries to allow workers to load.

Safari versions ≤ 15.4 also need child-src.

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worker-src 'self' blob:
child-src 'self' blob:

If you're unable to update your CSP policy to allow inline web workers, you can also use a custom compression worker instead.

Sentry, you'll need to configure React component name capturing. This will allow you to identify elements by the component name instead of the selector. The component names are searchable and will be surfaced in breadcrumbs, rage clicks, and dead clicks.

A user session starts when the Session Replay SDK is first loaded and initialized. The session will capture any pageloads, refreshes, or navigations as long as the SDK is re-initialized on the same domain, and in the same browser tab, each time. Sessions continue capturing data until 5 minutes pass without any user interactions or until a maximum of 60 minutes have elapsed. Closing the browser tab will end the session immediately, according to the rules for SessionStorage.

If you prefer not to record an entire session, you can elect to capture a replay only if an error occurs. In this case, the integration will buffer up to one minute worth of events prior to the error being thrown. It will continue to record the session, following the rules above regarding session life and activity. Read the sampling section for configuration options.

Sampling controls how much traffic results in a Session Replay.

  • replaysSessionSampleRate - Percentage of sessions to record fully
  • replaysOnErrorSampleRate - Percentage of sessions to record when an error occurs (buffers 1 minute before the error)

Tip: Keep replaysOnErrorSampleRate at 1.0 - error sessions provide the most debugging value.

Traffic VolumeSession RateError Rate
High (100k+/day)0.01 (1%)1.0
Medium (10k-100k/day)0.1 (10%)1.0
Low (under 10k/day)0.25 (25%)1.0
instrumentation-client.ts
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Sentry.init({
  dsn: "___PUBLIC_DSN___",

  // Capture 10% of all sessions
  replaysSessionSampleRate: 0.1,

  // Capture 100% of sessions with errors
  replaysOnErrorSampleRate: 1.0,

  integrations: [Sentry.replayIntegration()],
});

Sampling begins as soon as a session starts. When someone visits your application, sampling decisions happen in this order:

  1. replaysSessionSampleRate is checked first

    • If sampled: Full session recording starts and is sent to Sentry in real-time
    • If not sampled: Recording is buffered in memory only (last 60 seconds kept)
  2. If an error occurs (and session wasn't selected for full recording):

    • replaysOnErrorSampleRate is checked
    • If sampled: Buffered 60 seconds + rest of session is sent to Sentry
    • If not sampled: Buffer is discarded, nothing sent

When data leaves your browser:

ScenarioData Sent to Sentry
Selected for session samplingImmediately (real-time chunks)
Not selected, no error occursNever (buffer discarded)
Not selected, error occurs & sampledAfter error (60s before + everything after)

Read more about understanding sessions.

Errors that happen on the page while a replay is running will be linked to the replay, making it possible to jump between related issues and replays. However, it's possible that in some cases the error count reported on the Replays Details page won't match the actual errors that have been captured. That's because errors can be lost, and while this is uncommon, there are a few reasons why it could happen:

  • The replay was rate-limited and couldn't be accepted.
  • The replay was deleted by a member of your org.
  • There were network errors and the replay wasn't saved.

When tracing is enabled, traces are visible in the Replay timeline. This lets you see performance data in the context of what the user was doing — you can watch a user click a button, then see the corresponding network request and how long it took.

From the Replay Details page, click on any trace span in the timeline to jump directly to the trace view. From there, you can drill into individual spans, see database queries, API calls, and identify performance bottlenecks that affected the user's experience.

This connection works both ways: when viewing a trace, you can jump to the associated replay to see exactly what the user experienced during that operation.

While you're testing, we recommend that you set replaysSessionSampleRate to 1.0. This ensures that every user session will be sent to Sentry.

Once testing is complete, we recommend lowering this value in production. We still recommend keeping replaysOnErrorSampleRate set to 1.0.

  • Tracing — Traces are visible in the Replay timeline, showing you performance data in context.
  • Logs — Logs emitted during a replay session are automatically linked for easy navigation.

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