A Document Redaction API, also called PII Redaction, is an interface that helps software developers add redaction capabilities to their applications. It is similar to the Document Anonymization API but focuses specifically on redaction.
It allows the automated removal of particular information in documents, such as text, images, or other media. This API has functions that make it easy to use and implement. Document anonymization aims to safeguard individuals' privacy by either replacing or removing any personally identifiable information (PII) from the document.
Both document redaction and document anonymization entail changing documents to safeguard sensitive information. Redaction concentrates on removing confidential details, while anonymization is centered on general privacy protection, for example, by deleting or substituting personally identifiable information.
Some common applications of Document Redaction APIs include generating legal documents, managing government documents, and performing privacy-compliant redaction of medical records (for instance, in compliance with HIPAA regulations in the United States).
You can use Document Redaction in numerous fields, here are some examples of common use cases:
While comparing PII Redaction APIs, it is crucial to consider different aspects, among others, cost security and privacy. Document Redaction experts at Eden AI tested, compared, and used many Document Redaction APIs of the market. Here are some actors that perform well (in alphabetical order):
Built on their ability to extract data from any document, Base64.ai's Redaction AI permanently deletes personally identifiable information (PII) and sensitive details such as names, dates, faces, signatures, and addresses, among others. This guarantees that data is shared only on a need-to-know basis.
Private AI allows users to find, remove or replace personally identifiable information (PII) found in documents, images, audio and video. Its API supports redaction in over 50 languages whilst adhering to the regulatory requirements for HIPAA, CPRA and GDPR compliance.
Users can choose to redact confidential information using a series of # symbols or replace the entities with synthetic data for added security. Its contextual NLP solution offers undeniably high performance straight out of the box with an accuracy rate of 99.5%. Currently supporting over 10 file formats including PDFs, DOCX, JSON and PNG.
ReadyRedact's Document Redaction API is easy to use and efficient. It can quickly remove sensitive data from your files using advanced pixel-to-pixel replacement technology. This will increase the level of protection for your documents and help ensure compliance.
Strac.io's document redaction API scans the document, identifies and redacts sensitive information, all while preserving the original format. The API offers an optimal combination of user-friendliness and data security.
Super.ai's Redact API can be used to redact images, videos, and documents. PII that can be redacted includes dates, vehicle identification numbers, license plate numbers, phone numbers, and other sensitive information.
To ensure privacy, the API airbrushes or replaces each redacted character with a pseudonym instead of simply using a # symbol. With 100% accuracy, their team ensures high-quality through post-processing for false positives and negatives.
PII Redaction API performance can vary depending on several variables, including the technology used by the provider, the underlying algorithms, the amount of the dataset, the server architecture, and network latency. Listed below are a few typical performance discrepancies between several Document Redaction 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 Document Redaction tasks in their cloud-based applications, without having to build their solutions.
Eden AI offers multiple AI APIs on its platform among several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Face Recognition, Question Answering, Data Anonymization, Speech Recognition, and so forth.
We want our users to have access to multiple Document Redaction 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 :
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 PII Redaction integration project. This can be done by:
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