Censor images online with blur or pixelation

Protecting sensitive information in images before sharing

Screenshots, documents, and photos often contain sensitive information that must be hidden before sharing — personal names, email addresses, phone numbers, financial data, license plates, or faces of people who did not consent to being photographed. Censoring these areas permanently before distribution prevents accidental data leaks.

The two primary censoring methods are blur and pixelation. Blur applies a Gaussian filter that smooths detail into an unreadable smear. Pixelation replaces fine detail with large colored blocks. Both are effective, but pixelation is generally considered more secure because blurred text can sometimes be recovered through deconvolution algorithms, while heavily pixelated text cannot.

Unlike overlay-based redaction (placing a black rectangle on top), blur and pixelation in this tool are destructive — they permanently alter the underlying pixels. The exported image contains no hidden layers, no recoverable data beneath the censored regions. This is critical for legal compliance and privacy protection.

For maximum security when censoring text like passwords, credit card numbers, or social security numbers, use pixelation with a large block size (16-32 pixels). This ensures that even advanced image analysis cannot reconstruct the original characters. For faces where you want a softer aesthetic (like in street photography), blur with a moderate radius provides effective anonymization while looking less harsh.

Common use cases

• Redacting personal data in screenshots: Hide email addresses, phone numbers, and account details in support tickets, bug reports, or tutorial screenshots before sharing them publicly or with third parties.
• Anonymizing faces in street photography: Blur or pixelate bystanders' faces in photos taken in public spaces to respect privacy before publishing on social media or photography portfolios.
• Protecting confidential business documents: Censor financial figures, client names, or proprietary information in document screenshots shared in presentations, case studies, or marketing materials.
• Compliance with privacy regulations: Meet GDPR, CCPA, and HIPAA requirements by permanently removing identifiable information from images before storage, sharing, or publication.

Technical details

Blur method

Applies a Gaussian blur kernel to the selected region. The blur radius determines how far each pixel's color bleeds into its neighbors. Higher radius means more unreadable content.

Pixelation method

Divides the selected region into blocks and replaces all pixels in each block with the block's average color. Larger block sizes provide stronger censoring.

Permanence

Both effects are baked into the exported pixel data. There is no layer, no undo history, and no metadata that could reveal the original content. The censoring is irreversible.

Multiple regions

You can draw any number of censoring rectangles on a single image. Each region can use a different method or strength. All regions are applied simultaneously on export.

How to censor parts of an image online

Cover sensitive areas with blur or pixelation in a few clicks.

1. Drop your image into the censor tool.
2. Pick blur or pixelation mode.
3. Drag boxes over each region you want to hide.
4. Download the censored image with all regions baked in.

Frequently asked questions