Bulk Face Anonymizer
Detect and blur or pixelate faces across whole photo batches with on-device BlazeFace (one shared model download for the batch). Faces need confidence above 0.5 and size above 8px; faceless files are skipped with an error. Outputs PNG as <name>-anonymized.png — local processing, 2 free batches a day.
Runs on TensorFlow.jsCanvasJSZip
How to Use the Bulk Face Anonymizer
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Frequently Asked Questions
How accurate is batch face detection?
Faces pass only above 0.5 confidence and 8px size — front-facing, well-lit faces pass reliably; profile angles, sunglasses, and tiny background faces get skipped. For 100 event photos, re-run misses individually rather than trusting blind automation for publication.
Blur or pixelate — which is safest?
Heavy pixelation is hardest to reverse; light blur can sometimes be enhanced back, so use high strength (up to 50px blur) where identity protection is legally required. No solid-bar mode exists — pixelate at low strength values for the blockiest cover.
Are my photos uploaded for detection?
No — detection runs on-device in your browser with TensorFlow.js; images never leave your device. Originals stay untouched in memory; only anonymized copies export.
Can it anonymize video frames?
Still images only in this tool — export video frames first, anonymize the batch, and rebuild. For full video redaction, use a dedicated video anonymization workflow instead.
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Last updated October 2026