In-browser TIFF OCR to reduce sensitive file egress
Route `local-tiff-ocr` (tiff_to_text.local) highlights in-browser recognition for TIFFs that should not leave your control—unpublished lab data, pre-redaction clinical frames, or contract scans. Local still obeys RAM and per-page pixel limits, so oversized remote-sensing or whole-slide assets need cropping or downsampling first. Close unrelated tabs, process only required pages or ROIs, and clear the clipboard after copying sensitive snippets.
Local TIFF OCR guardrails
- Before opening `local-tiff-ocr`, verify shoulder surfing risk; import only the pages or crops you must read.
- Pick languages, run OCR, then paste transcripts into offline notes or intranet wikis instead of public chats.
- Close previews and scrub temporary exports; follow institutional policy for encrypted drives on highly sensitive batches.
TIFF-to-text FAQ (local)
Besides accuracy, what matters for sensitive TIFFs in `local-tiff-ocr`?
Watch shoulder surfing, clipboard leakage, and temp caches; use dedicated workstations and document who accessed each batch.
Does local mean perfectly safe?
No—shoulder surfing, clipboard leaks, and temp files remain; air-gapped workflows exist for top-secret data.
The tab crashes on huge stacks—what now?
Split pages, downsample, or crop ROIs; close extra tabs to free RAM.
Is it okay on a shared kiosk?
Avoid if possible; scrub downloads and site data immediately after.
Should transcripts auto-sync to the cloud?
Disable auto-sync for sensitive batches; copy manually into controlled storage.