Sensitive Document Review

One local browser workflow for OCR, deterministic sensitive-data review, redacted-text checks, and transparent JSON export before sharing a document image

Category

Image Tools

How to Use

  1. Upload one scan, receipt, screenshot, or document-page image before sharing it
  2. Run local OCR, then let the rules check emails, phones, IDs, IPs, links, secret keys, and valid card numbers
  3. Compare the source image with the OCR text, findings, and redacted text
  4. Copy the reviewed redacted text or export the JSON review record

Examples

  • Review an internal screenshot before sharing

    Input: Upload a screenshot containing a contact, email, phone number, and API key

    Output: Returns OCR text, rule findings, and a manually reviewable redacted version

  • Review a single receipt or scan

    Input: Upload a clear receipt, form, or report image

    Output: Runs text extraction and fixed-pattern PII checks in the browser without uploading the image

FAQ

Is my image or text uploaded to a server?
No. Image decoding, OCR, and rule checks run in the browser. On first use, the browser downloads open-source OCR model weights.
Does it identify names, addresses, and every confidential detail?
No. This workflow checks deterministic patterns such as emails, phones, IDs, IPs, links, secret keys, and valid card numbers. Review names, addresses, handwriting, and business context manually.
Can the exported JSON serve as a compliance record?
No. It is a transparent review aid, not a guarantee that every sensitive detail was found or a replacement for your organization’s compliance process.

Related tools

  • Image Upscaling and Restoration

    A free-forever, unlimited Real-ESRGAN 4x image upscaling and restoration tool with general upscaling, photo enhancement, compression repair, line-art enhancement, and pre-upscale sharpening. Images are processed locally and never uploaded.

  • AI Background Remover

    Remove portrait backgrounds locally in the browser with the open-source MODNet ONNX model, preferring WebNN NPU/GPU while never uploading images

  • Browser OCR

    A local PP-OCRv5 mobile text detection and recognition entry for screenshots, receipts, IDs, and form images

  • Document Layout and Table Detection

    A PP-DocLayout browser-side document structure detection entry for titles, paragraphs, tables, and figures