Image Anonymization API

Image Anonymization API

Anonymize images in seconds for privacy and compliance
11 reviews
47 followers

What is Image Anonymization API?

Cloud-based Image Anonymization API efficiently detects and blurs faces and license plates in photos, providing robust privacy protection by ensuring sensitive data remains unrecognizable and secure.

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4.73/5 based on 11 reviews
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Reviews

Дмитрий Ермолаев
19 reviews
I use this API for anonymizing license plates in traffic footage, and it’s efficient and easy to integrate into our system. It works great in well-lit environments but has trouble accurately detecting plates in low-light conditions. For most applications, it’s a time-saver and highly effective
Dmitrij
8 reviews
The Image Anonymization API has been an essential tool in my arsenal. Its ability to accurately anonymize both license plates and faces in photos ensures that I am always confident with privacy regulations. Due the API’s precision and reliability I can focus on developing my projects without worrying about data privacy issues.
Nikita
19 reviews
It's quite a solid solution for image anonymization, I've used for blurring faces in one of my projects. it performs well in most cases, it occasionally struggles with less clear images, such as faces at odd angles or in crowded scenes.
Tarana
8 reviews
The Image Anonymization API has significantly streamlined our workflow. Before using this API, manually anonymizing license plates was a time-consuming process. Now, the API automates this task, saving our team countless hours. This efficiency has allowed us to allocate resources to more critical tasks, ultimately boosting our overall productivity.
RachelWeiss
18 reviews
I used the Image Anonymization API specifically for blurring license plates, and it performed well in most cases. This API was easy to integrate, and it quickly detected and blurred the license plates in images with medium to high resolution. However, in more challenging situations, like angled shots or low-resolution images, the detection was less precise, and a few plates were missed or only partially blurred.
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