Free Face Blur Tools in 2026: Features and Limits

For a free photo editor, start by comparing Facepixelizer and Picdefacer. For video processed on your own computer, consider deface if you can use a command line. Hosted video tools have different trial and export terms, so check those before uploading a long recording.

This is a comparison of published documentation checked on 26 September 2026, written by the Medianonymizer team. We have not run a shared test set through these products or measured their speed, detection accuracy or resistance to re-identification. Medianonymizer is our product and appears below as a paid option.

Facepixelizer

Facepixelizer is a free image editor that its documentation says processes images in the browser. It includes automatic face detection, manual selection, a strength slider and EXIF removal when saving. Check missed faces manually, particularly in profiles and tilted faces. The documented workflow is for images, not video.

Picdefacer

Picdefacer documents local browser processing, automatic face detection, adjustable effects and removal of the original EXIF metadata. It offers blur, pixelation and solid redaction for images. Its own interface warns that blur or pixelation may not fully protect sensitive content. We have not measured its detection coverage or compared the exports against Facepixelizer.

deface

deface is an open-source command-line application for photos and video. You install it and run it on your computer. Its documented options include different replacement styles and detection thresholds. Audio is discarded by default; --keep-audio preserves it. Keeping audio also keeps any spoken identifiers unless you handle them separately.

The setup requires comfort with a terminal. Local processing can suit a workflow that cannot upload footage, but you still need to inspect missed detections and decide how to handle the source file. The documentation does not establish a universal accuracy rate for your recording.

BGBlur

BGBlur advertises face and license-plate blur for video as well as background blur. It should not be described as an image-only background editor. Its site lists trial access and paid plans. Check the current feature-specific limits and data-handling terms before committing footage; this comparison does not verify its processing architecture or measure export quality.

Medianonymizer

Medianonymizer processes uploaded files and offers options for video faces, plates, on-screen text and audio. Choose the options for your file: a plate, for example, should not be assumed covered merely because face processing is enabled. A face review step lets you inspect detected people and choose which detected identities to redact.

Exports are paid. See the current pricing and the price shown for your job; this article does not offer a free image export. Automatic detection can miss an identifier, and an export should be checked before distribution. We have not established that Medianonymizer is faster or more accurate than the other tools listed here.

Comparison by workflow

Check the file you will share

Review the saved result, not only the editor preview. In photos, inspect small faces and reflections at the resolution in which the image will be published. In video, watch scene changes, people entering frame, profiles and brief appearances. Tracking can help follow a detection; its presence alone does not prove that every face was found.

Listen to the audio and look for captions, badges, screens and other clues that matter for your use. A visual face edit does not establish that the entire file is anonymous. Keep the original in a separate, appropriately restricted location so it is not accidentally attached alongside the edited copy.

If you need a recorded-video workflow, see how to blur faces in video. Test a short representative clip before committing a larger batch.