Best Text Anonymization APIs in 2024

Best Text Anonymization APIs in 2024

What is Text Anonymization?

Text Anonymization API is an application programming interface that allows users to mask, redact, or otherwise obscure sensitive information in text data. This technology is commonly used to help handle personally identifiable information (PII) so that individual privacy is maintained.

Text Anonymization on Eden AI
Text Anonymization on Eden AI

The API can automatically identify and anonymize specific data points within text, such as names, addresses, phone numbers, or social security numbers, by either removing them entirely or replacing them with alternative values that are not personally identifiable. Text Anonymization APIs can help ensure compliance with data protection regulations and reduce the risk of data breaches or identity theft.

Text Anonymization APIs uses cases

You can use Text Anonymization in numerous fields, here are some examples of common use cases:

  • Education: protect the privacy of students and staff by redacting or masking personal information in academic records, transcripts, and other educational materials.
  • Finance: protect sensitive financial information, such as account numbers, transaction details, and personal identification information, to reduce the risk of identity theft and fraud.
  • Healthcare: protect patient privacy by removing or replacing PII in medical records, lab reports, and other health data.
  • Legal: protect sensitive information in legal documents, such as court transcripts or depositions, where PII may be shared.
  • Social Media: anonymize user data and protect the their privacy. For instance, masking or removing usernames, personal information, and other sensitive data in publicly available content.

These are just a few examples of Text Anonymization API uses case, it can be applied in many different fields to protect sensitive information and ensure compliance with data privacy regulations.

Best Text Anonymization APIs on the market

While comparing Text Anonymization APIs, it is crucial to consider different aspects, among others, cost security and privacy. Text Anonymization experts at Eden AI tested, compared, and used many Text Anonymization APIs of the market. Here are some actors that perform well (in alphabetical order):

  • Amazon Comprehend
  • Emvista
  • Microsoft Azure Text Analytics
  • Naix
  • OneAI
  • OpenAI GPT-3
  • PrivateAI

1. Amazon Comprehend - Available on Eden AI

Amazon Comprehend provides Text Anonymization API to help mask personal or sensitive information in customer emails, support tickets, product reviews, social media, and more. Additionally, AWS supports multiple languages in their API.

2. Emvista - Available on Eden AI

Emvista's API is powered by advanced natural language processing algorithms, which enables users to anonymize sensitive information in text data, such as names, locations, and identification numbers without compromising the overall meaning of the text. It is capable of handling a wide range of text types, including structured and unstructured data, and can be easily customized to meet specific industry or regulatory requirements.

3. Microsoft Azure Text Analytics - Available on Eden AI

Microsoft Azure uses the detection models provided in Azure Cognitive Services to extract personal information from an input text, the extracted data will then be masked from text data. In particular, the API is known for its ability to quickly and efficiently process large volumes of textual data, especially for a wide range of languages.

4. Naix

Naix is an AI-powered data privacy platform that uses advanced Machine Learning algorithms to ensure that data is anonymized effectively. Once detected, the sensitive information is replaced with pseudonyms or removed entirely, while preserving the utility of the data. The API also ensures that data remains anonymized and cannot be traced back to the original source through their secure deployment methods.

5. OneAI - Available on Eden AI

As an natural language processing (NLP) platform, OneAI’s anonymization is designed to handle large volumes of data quickly and efficiently. This API can be customized to meet specific needs and requirements. Apart from text, OneAI also provides anonymization for video and audio input.

6. Open AI - Available on Eden AI

The API uses state-of-the-art NLP techniques to identify and anonymize sensitive information. Open AI's solution stands out for its ability to handle complex language structures and contextual nuances. Furthermore, Open AI's solution is easy to integrate into existing workflows, making them a flexible solution for a variety of industries and applications.

7. PrivateAI

Private AI's solutions are built with privacy in mind from the ground up, using advanced privacy-enhancing technologies like differential privacy and federated learning to ensure data privacy at every stage of the process. The APIs can detect and handle up to 50 entity types, 47 languages and process up to 70,000 words per second. Additionally, Private AI even offers 2 options for replacing PII detected in text: with unique identifiers (NAME_1, CVV_3, CREDIT_CARD_2, etc.) or with a mask character.

8. uses advanced Machine Learning algorithms to identify and mask, remove or leverage pseudonymization for PII. This API has the capability to process massive amounts of data at a rapid pace, with nearly unlimited scalability. It and can also handle various languages and document formats, including embedded data, regardless of origin, design, layout, or structure. In addition,'s focuses on simplicity and ease of use, making it a good option for a quick and easy way to anonymize text data without requiring specialized technical skills.

Performance variations of Text Anonymization APIs

For all companies who use Text Anonymization in their software: cost and performance are real concerns. The Text Anonymization market is quite dense and all those providers have their benefits and weaknesses.

Performances of Text Anonymization APIs vary according to the specificity of data used by each AI engine for their model training. This means that some Text Anonymization APIs may perform great for some languages but won’t necessarily for others.

Variation performances across languages

Text Anonymization APIs perform differently depending on the language of the text. Some providers are specialized in specific languages. Different specificities exist in Region specialties: some Text Anonymization APIs improve their machine learning algorithm to make them accurate for text in a specific language. For example, some Text Anonymization APIs perform well in English (US, UK, Canada, South Africa, Singapore, Hong Kong, Ghana, Ireland, Australia, India, etc.), while others are specialized in Asian languages. Rare language specialty: some Text Anonymization vendors care about rare languages and dialects. You can find Text Anonymization APIs that allow you to process text in Gujarati, Marathi, Burmese, Pashto, Zulu, Swahili, etc.

Variation performances depending on the quality of the document

When testing multiple Text Anonymization APIs, you will find that providers' accuracy can be different according to text quality and format. For example, some Text Anonymization APIs may perform better for simple, structured data such as structured forms or databases, while others may be better suited for unstructured, free-text data such as social media or customer feedback.

Why choose Eden AI to manage your Text Anonymization APIs

‍Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Text Anonymization tasks in their cloud-based applications, without having to build their own solutions.

Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Summarization, Question Answering, Data Anonymization, Speech Recognition, and so forth.

We want our users to have access to multiple Text Anonymization engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs :

  • Fallback provider is the ABCs: You need to set up a provider API that is requested if and only if the main Text Anonymization API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
  • Performance optimization: After the testing phase, you will be able to build a mapping of providers’ performance based on the criteria you have chosen (languages, fields, etc.). Each data that you need to process will then be sent to the best Text Anonymization API.
  • Cost - Performance ratio optimization: You can choose the cheapest Text Anonymization provider that performs well for your data.
  • Combine multiple AI APIs: This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Text Anonymization APIs will validate and invalidate each other for each piece of data.

How Eden AI can help you?

‍Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.

Eden AI platform - Multiple AI engines in one API
Multiple AI engines in one API

  • Centralized and fully monitored billing on Eden AI for all Text Anonymization APIs
  • Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
  • Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
  • The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
  • Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

You can see Eden AI documentation here.

Next step in your project

The Eden AI team can help you with your Text Anonymization integration project. This can be done by :

  • Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
  • By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
  • By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
  • Having the possibility to integrate on a third-party platform: we can quickly develop connectors

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