Blurit.app vs Plate Recognizer: blurring plates vs ALPR — what to choose? (2026)
Blurit.app vs Plate Recognizer: blurring plates vs ALPR — what to choose? (2026)
In 2026, many teams confuse two different goals: reading a license plate (ALPR) and masking it (anonymization). Plate Recognizer is primarily for recognition (ALPR). Blurit.app is for anonymizing (blur/pixelation) before sharing.
ALPR vs anonymization: clarifying the need
- ALPR: extract the text from a license plate (search, alerts, analytics).
- Anonymization: make the plate unidentifiable (compliance, public distribution).
Comparison table
| Criteria | Blurit.app | Plate Recognizer |
|---|---|---|
| Output | Anonymized video | ALPR data |
| Public distribution | Yes (after masking) | Not the main goal |
| Use cases | GDPR/UK GDPR, publication | Operations / security |
When to choose Plate Recognizer?
- You need to identify license plates (ALPR) for your operations.
When to choose Blurit.appå
- You need to share videos while protecting privacy.
- You want a simple tool to blur/pixelate plates and faces.
FAQ
No: Plate Recognizer is ALPR-focused (reading and extracting plates). To publish video compliantly, you need to mask plates — that is Blurit.app’s role (blur or pixelation).
ALPR identifies plate text for operations (security, analytics). Blurring makes the plate unidentifiable before public distribution (GDPR, privacy). These are opposite goals.
Yes. Blurit detects and masks faces and plates in one Studio workflow, with video export ready to share — useful for dashcam, retail, or internal training footage.
No. Compliance often requires anonymization (masking), not recognition. If you distribute publicly, prefer an anonymization tool like Blurit rather than an ALPR engine.
Yes. Blurit Studio runs in the browser for direct use. A REST API remains available if you want to automate processing later.
Try Blurit.app on your videos
Try Blurit.app to anonymize your plates (and faces) before publication.