Local privacy OCR: browser processing is not automatic safety
`local-privacy-ocr` targets drafts, medical snippets, or internal rosters that should not ride public upload pipelines. Browser-local recognition reduces routine cloud exposure, but browser extensions, screen recorders, and chat auto-upload can still leak. Combine the tool with device encryption, VPN policies, and disciplined tab hygiene. For ultra-sensitive lines, mask them before OCR or capture only the necessary rows. Remember: pasting transcripts into a public SaaS doc can be as risky as uploading the photo—apply the same data classification.
Sensitive OCR checklist (`local-privacy-ocr`)
- Open `local-privacy-ocr` on a managed device, disable distracting capture tools, and redact national IDs or secrets that are not required.
- Copy transcripts only into approved systems; avoid dumping full dumps into public Slack threads.
- Clear temporary browser artifacts per IT guidance and file finals inside restricted knowledge bases.
Local OCR privacy FAQ
What leak paths remain even when OCR claims to be local?
Clipboard sync, meeting screen share, chat attachment auto-upload, and personal cloud drives—treat text exports with the same classification as the source photo.
Closing the tab guarantees the image is gone from memory—true?
Not always; extensions, crash dumps, or sync clients may retain artifacts—follow your security baseline for cache wiping on managed devices.
Can I paste OCR output into a personal cloud note?
Only if policy allows; personal notebooks often bypass DLP and count as unapproved egress.
How do remote teams share transcripts without widening access?
Use least-privilege project spaces, share minimal fields, enable access logs, and avoid pasting full dumps into public channels.
Does local OCR waive data classification rules?
No—downstream storage of text inherits the same classification, retention, and monitoring requirements as the original image.