Offline processing is a useful trust signal when the document should not cross the network at all. It must be presented honestly: the browser needs a one-time setup, different file types have different limits, and the final export still needs inspection.
Workflow
1. Prepare while connected
Open the workspace and wait until the required document resources report Offline Ready. OCR resources may take longer than text resources.
2. Disconnect optionally
Turn off the network only after setup is complete. This is an optional verification step, not a requirement for every user.
3. Review the document locally
Select the PDF or DOCX and review findings, placeholders and image-based content in the browser.
4. Export and inspect
Download the output while offline, open it locally and confirm that the file contains no original values before reconnecting and uploading it to AI.
What gets reviewed
- Cached PDF and DOCX processing resources
- Searchable text and replacement mappings
- OCR pages and embedded images when the OCR model is ready
- Browser storage state and whether a reload is required
- Output verification after export
Stays on this device
- Disconnecting is optional and user-controlled.
- The original document stays in the browser session.
- Reconnecting can restore account, plan and entitlement information without uploading document content.
Limitations: Offline-ready does not mean every format or every image is automatically covered. If a resource is still preparing, wait for setup to finish while connected. If the browser cache is cleared, the one-time setup must be repeated.
Frequently asked questions
Can I process a PDF without an internet connection?
Yes, after the browser has completed its one-time setup and cached the required processing resources. Disconnect only after the workspace shows Offline Ready.
Does offline processing guarantee that a document is anonymous?
No. It reduces network exposure during processing, but you still need to review suggested findings, inspect images and verify the exported copy.
Why might OCR need a separate setup?
OCR models are larger than ordinary text-processing resources. The browser may need extra time and storage to download and cache them before scanned pages can be reviewed offline.
Continue exploring
Security and local processing
Read the data-boundary explanation.
Local redaction guide
A practical guide to checking the output.
AI-safe PDF
Create a separate PDF copy with stable placeholders, verified before upload.
Local document workspace