Image Anonymisation API, also referred to as image de-identification or image de-personalisation, is the automated process of removing personal or sensitive information from images. Its primary purpose is to safeguard the privacy and security of individuals who may appear in images posted online or utilised for research.
On the other hand, Text Anonymisation API is an interface that software developers can use to hide or obscure confidential information within text data. It is commonly deployed to handle personal data while protecting individual privacy.
The API can detect and anonymise precise data points in text, like names, addresses, phone numbers, or social security numbers, either by removing them in entirety or substituting them with non-identifiable values.
The Image Anonymization API generally operates through the use of algorithms to identify and blur or remove particular forms of information, including faces, license plates, or other identifiers.
Whereas utilising Text Anonymisation APIs can assist in maintaining data protection regulations compliance and mitigate the risk of data security breaches or identity theft.
For users seeking a cost-effective engine, opting for an open-source model is the recommended choice. Here is the list of the best Anonymization Open Source Models:
Presidio helps to ensure sensitive data is properly managed and governed. The system offers speedy detection and anonymisation components for private entities mentioned in the text, including but not limited to credit card details, names, locations, social security numbers, bitcoin wallets, US phone numbers, and financial data.
The Databunker scheme aims to simplify adherence with GDPR and CPRA standards. It supplies organizations with simple-to-use APIs for easy implementation and a secure safekeeping for PII, as well as a privacy portal.
With proper deployment, Databunker replaces dispersed PII of customers across various internal log files and databases of an organization with a solitary, haphazardly generated token supervised by the Databunker service.
Free Open Source Library for data anonymization of text and Images.
An anonymization API that localizes and obfuscates (i.e. hides) sensitive information in images/videos in order to preserve the individuals' anonymity.
The Data Protection Framework is a Python package/command line tool designed to identify, anonymise, and de-anonymise personally identifiable information. The framework operates on a two-pronged approach to detect PII: utilising regular expressions to recognise patterns and utilising NLP to detect named entities.
NgAnonymize is a compact Angular 2+ library that provides essential anonymisation capabilities for use in data applications that require privacy protection. The library was developed due to the limited number of existing open source solutions available for this purpose.
While open source models offer many advantages, they also come with some potential drawbacks and challenges. Here are some cons of using open source models:
Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.
Eden AI presents a broad range of AI APIs on its platform, customized to suit your specific needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.
To get started, we offer free $10 credits for you to explore our APIs.
Our standardized API enables you to integrate Image de-identification APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):
API4AI offers a cutting-edge technology that fulfills the growing demand for anonymisation solutions, compliant with numerous privacy regulations. With the capability of detecting and anonymising both faces and license plates in a single image, users need not switch between modes for different objects.
API4AI's solution is highly resilient to diverse environmental factors, including lighting conditions, rotation, and small distortions. As an entirely cloud-based solution, API4AI guarantees superior reliability and uptime to its users.
Amazon Comprehend offers a service that can help mask confidential details in customer emails, support tickets, product reviews, social media posts, and similar texts. Moreover, AWS' API supports various languages.
Emvista's API is supported by sophisticated natural language processing algorithms that allow for the anonymisation of sensitive data in text, including names, locations and identification numbers, without impacting on the text's meaning.
The API is able to manage various types of text data, both structured and unstructured, and can be conveniently adapted to suit industry or regulatory requirements.
Microsoft Azure employs detection models available in Azure Cognitive Services to extract personal information from an input text, following which the extracted information will be masked from text data.
The API is recognised for its exceptional capability to process significant volumes of textual data proficiently and quickly, suiting diverse languages.
The API applies cutting-edge NLP techniques to detect and anonymise sensitive data. Open AI's solution excels at managing intricate language structures and contextual subtleties. Additionally, their solution can be integrated seamlessly into present workflows, making it a highly adaptable choice for various sectors and use cases.
Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for November 2023, as well as you can get discounts for potentially large volumes.
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
You can see Eden AI documentation here.
The Eden AI team can help you with your Anonymization integration project. This can be done by :