Photo redaction
Photos of parcels, receipts, documents, screens, and everyday scenes can expose names, addresses, account details, IDs, faces, QR codes, and barcodes. HushPic suggests areas to cover, keeps every mask editable, and verifies a separate copy.
HushPic app for iPhone and Android · This page is a guide, not a browser editor.
Answer and scope
Work on a separate copy and cover only information the intended recipient does not need, then inspect the entire saved image. Parcel labels, receipts, background documents, reflections, faces, and codes need different checks. HushPic suggests supported regions, lets you add or adjust masks, and re-scans supported metadata after writing a copy. Automatic suggestions can miss information. A checked output does not guarantee that a person or place cannot be identified from remaining context, and the original remains unchanged.
By Qingxin Studio, the developer of HushPic · Updated
The risk
A shipping label in the background, a name on a document, or a QR code near the edge can be easy to miss. Cropping may remove context you want to keep, while a general photo editor does not check hidden metadata.
The HushPic approach
HushPic checks supported visible and hidden privacy risks in one flow. Suggested regions remain under your control, and only copies that pass the supported post-write checks enter the share and save set.
How it works
Choose the parcel, receipt, document, or scene you want to share. Decide which details the recipient actually needs.
HushPic automatically scans supported metadata and visible details, clears detected private fields, and applies suggested masks on a separate copy.
Look at labels, reflections, background documents, faces, and codes. Adjust or add a region in Review / Adjust, then regenerate the copy.
Use the copy that passed the supported post-write checks. Automatic suggestions can miss information; metadata verification does not replace your visual review.
By Qingxin Studio, the developer of HushPic · Updated
Reviews supported names, contact details, addresses, IDs, faces, QR codes, barcodes, and candidate text regions.
Move, resize, add, or delete rectangular areas before generating the result.
The same flow also checks supported metadata instead of treating the pixels as the whole privacy problem.
FAQ
Common examples include parcel labels, receipts, documents, tickets, workplace photos, whiteboards, and any image with a person or account detail you do not want to share.
No. Suggestions can miss details or select too much. Review the full image and add or remove masks before sharing.
Yes. Redaction covers selected regions on a separate copy, so you can keep the context you intended to share.
For processable files, HushPic also clears detected private metadata and verifies the written copy within its supported scope.
No. The source remains unchanged. Sharing and saving use only the generated copy that passed verification.
Privacy check before sharing
HushPic keeps photo processing on your device and leaves the original unchanged.