Posthog Session Replay Portable -

What do you want to send replays to? (e.g., Retool, Zendesk, a custom admin panel)

It monitors every change to the DOM, mouse movement, click, and window resize as a stream of JSON text events.

from posthog import Posthog import json

private handleInput = (event: Event): void => const target = event.target as HTMLInputElement; this.addEvent('input', target: this.getElementPath(target), value: target.type === 'password' ? '[REDACTED]' : target.value, tagName: target.tagName, inputType: target.type, ); ; posthog session replay portable

private setupEventListeners(): void // Mouse events document.addEventListener('click', this.handleClick); document.addEventListener('mousemove', this.handleMouseMove); document.addEventListener('scroll', this.handleScroll);

The concept of "PostHog session replay portable" is more than a feature; it is a philosophy. In an industry where every vendor is trying to make migration as painful as a root canal, PostHog stands alone by building on open standards, open code, and open storage.

By making your session replay data portable, you're not just archiving; you're enabling richer, more contextual analysis. PostHog's design encourages this by weaving its products together. You can jump from a insight directly into a playlist of session replays for the users who dropped off. Or, you can filter recordings based on which feature flag variant a user was exposed to, providing direct video evidence of an experiment's impact. What do you want to send replays to

There are two main ways to achieve portability:

A Kubernetes cluster or Docker host, AWS S3 bucket, and PostHog Helm charts.

You can now watch user sessions on the go. PostHog session replay is portable. This means you can view real user behavior outside of the main PostHog website. You can share recordings with your team in many ways. What is PostHog Session Replay? '[REDACTED]' : target

Unlike most session replay tools that lock recordings inside their UI, PostHog allows you to export raw event data and replay files via API. You can pipe them to your data lake (S3, BigQuery) for long-term analysis or ML training.

const startRecording = () => recorderRef.current?.start(options?.userId); setIsRecording(true); ;