A quick note on legal compliance. Portability sounds amazing, but with great power comes great responsibility.
When you make your session replays portable (e.g., dumping them into a public S3 bucket or a data lake), you risk exposing PII (Personally Identifiable Information).
Best Practices for Portable Replays:
If you export raw, unmasked replays to a data warehouse, every engineer with SQL access will be able to read your users' passwords (if not hashed client-side—use mask_all_text).
Imagine training a model to detect user frustration or a bot to automate a checkout flow. You need the raw data. Portable JSON exports allow you to feed thousands of session replays directly into your Jupyter Notebooks or BigQuery for analysis far beyond what PostHog’s UI offers.
If session replay is a critical part of your product analytics, don’t treat it as disposable. With PostHog, you can own, move, and integrate replay data like any other first-class event. That’s what makes it future-proof.
While PostHog doesn't offer a specific product named "Session Replay Portable," you can achieve data portability through its robust export and API features. This allows you to "carry" your session data across platforms or preserve it beyond standard retention limits . Making Your Session Replays "Portable"
You can liberate your replay data from the PostHog platform using these primary methods: posthog session replay portable
Manual JSON Export: For individual sessions you need to keep permanently, use the "Export to JSON" option found in the "more options" menu of any recording . These files can be imported back into PostHog later, even after the original data has expired from your project .
Batch Exports to Cloud Storage: If you need to move high volumes of data, PostHog supports batch exports to destinations like Amazon S3, Google Cloud Storage, or Snowflake . Note that it is safest to export recordings after 24 hours to ensure they are complete and immutable .
Snapshot API: Developers can use the Session Recording Snapshot API to programmatically fetch the raw rrweb snapshots used to reconstruct replays .
Public Sharing & Embedding: You can make replays "portable" in a different sense by generating Public Links or using iFrame embeds to display recordings directly within your own internal tools, support tickets (like Zendesk), or documentation . Why Portability Matters for Teams Sharing and embedding replays - Docs - PostHog
PostHog Session Replay Portable: Mastering Data Portability & Flexibility
PostHog's session replay is a powerhouse for understanding user behavior, but for many engineering and product teams, the real value lies in portability. Whether you need to move data between environments, share insights with stakeholders without a login, or keep permanent records of critical bugs, understanding how to make PostHog session replay "portable" is essential. 1. Direct Export to JSON for Long-term Storage
One of the most powerful "portable" features in PostHog is the ability to export individual recordings as JSON files. This is vital because session recordings in the cloud have retention limits (typically 3 weeks to 90 days depending on your plan). A quick note on legal compliance
How to do it: Navigate to a specific recording, click the "More Options" menu in the top right, and select Export to JSON.
Why it matters: These files are completely portable. You can store them in your own archival system and later re-import them back into PostHog for playback, even years after the original recording has expired. 2. External Sharing and Embedding
Portability also means getting the data in front of the right people at the right time. PostHog offers several ways to make session replays accessible outside the platform:
Public Link Sharing: You can generate a public link for any session replay. This allows anyone with the URL to view the recording without needing a PostHog account.
Iframe Embedding: You can use an iframe to embed a replay directly into your own internal tools, such as a custom admin dashboard or a CRM.
Integration with Support Tools: Using the PostHog API, you can automatically attach session replay links to support tickets in platforms like Intercom, Zendesk, or Crisp. This makes the "user experience" portable, bringing the context directly to your support engineers. 3. Self-Hosting for Total Data Sovereignty
For teams that require absolute control and "portability" of the entire infrastructure, PostHog remains an open-source platform that can be self-hosted. If you export raw, unmasked replays to a
Hobby Deployment: You can deploy PostHog on your own servers using Docker Compose for testing or small-scale internal use.
Blob Storage Flexibility: Self-hosted instances allow you to choose your own "portable" storage backends. While PostHog Cloud uses AWS S3, you can use MinIO or other S3-compatible storage on your own infrastructure.
No Vendor Lock-in: Because the data is stored in your own databases (ClickHouse and blob storage), you can move your entire PostHog instance between cloud providers or on-premise servers as needed. 4. Cross-Platform Mobile Support
Portability also refers to the ability to record across different environments. PostHog’s session replay is not limited to the web; it is highly portable across mobile frameworks:
Supported Frameworks: iOS, Android, React Native, and Flutter.
FlutterFlow Integration: Developers using low-code tools like FlutterFlow can also integrate PostHog session replay to capture mobile user journeys. 5. Leveraging the API for Automated Portability
For advanced users, the PostHog API allows for programmatic access to session data. You can build automated scripts to: Self-host PostHog - Docs