{"id":112,"date":"2026-06-19T16:00:00","date_gmt":"2026-06-19T14:00:00","guid":{"rendered":"https:\/\/blurit.io\/blog\/?p=112"},"modified":"2026-06-19T18:48:58","modified_gmt":"2026-06-19T16:48:58","slug":"importance-of-faces-and-plates-blurring","status":"publish","type":"post","link":"https:\/\/blurit.io\/blog\/en\/importance-of-faces-and-plates-blurring\/","title":{"rendered":"Why You Should Blur Faces and License Plates in Images and Videos"},"content":{"rendered":"
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Images and videos are the most common source of personal data in circulation today \u2014 and most of the people who appear in them never consented to being captured, let alone shared. Faces and license plates are the two identifiers that appear most frequently, carry the most risk, and are easiest to address with the right tool. Here’s why they matter and what to do about them.<\/p>\n\n\n\n

What Makes a Face or License Plate Personal Data?<\/h2>\n\n\n\n

Under GDPR, personal data is any information relating to an identified or identifiable natural person. A face meets this definition the moment it can be matched to a person \u2014 whether through facial recognition software, social media search, or simple visual recognition. A license plate meets the same definition because it can be traced back to a registered vehicle owner, revealing their name and address.<\/p>\n\n\n\n

This means that any image or video containing a visible face or license plate is, by default, a file containing personal data \u2014 with all the legal obligations that come with it.<\/p>\n\n\n\n

Why Blur Faces?<\/h2>\n\n\n\n

Facial recognition technology has become widely available, to private actors as well as governments. A face visible in a published photo or video can be matched against public databases, social media profiles, or surveillance feeds in seconds. Blurring a face before sharing or publishing removes that identification pathway entirely.<\/p>\n\n\n\n

Beyond the technical risk, there are practical ones: unwanted attention, harassment, profiling, or simply the exposure of someone who didn’t want to appear in a shared image. These concerns apply equally to bystanders caught in the background and to individuals who are the deliberate subject of footage.<\/p>\n\n\n\n

See Face Anonymization feature \u2192<\/a><\/p>\n\n\n\n

Why Blur License Plates?<\/h2>\n\n\n\n

A license plate number is enough to find out the registered owner of a vehicle \u2014 in many jurisdictions this information is accessible through official channels or data brokers. Published footage containing a visible plate can expose where someone lives, works, or travels, creating real risks of stalking, harassment, or theft.<\/p>\n\n\n\n

This is why dashcam footage, parking system recordings, and any automotive or street-level imagery needs to have plates anonymized before being shared, published, or used for training data. See Plate Anonymization feature \u2192<\/a><\/p>\n\n\n\n

What Other Identifiers Should Be Blurred?<\/h2>\n\n\n\n

Faces and license plates are the most common, but not the only personal identifiers that appear in visual data. Depending on the context, organizations also need to consider:<\/p>\n\n\n\n