Unstructured, structured, and PDF deID

**Overview**
This listing provides a scalable solution to de-identify sensitive information from visual data, specifically images and PDF documents. It enables organizations to protect personal data, ensure regulatory compliance, and safely use visual content for analytics and AI applications.

**Use cases**

* Remove personally identifiable information (PII) from scanned documents, images, and PDF files
* Prepare de-identified visual data for computer vision models and document processing pipelines

**Product details**

* Datasets represented include image files, PDF documents, and processed outputs.

For more details, refer to the embedded notebook.

**Additional Insights**
This workflow is designed for visual document processing scenarios, supporting compliance with regulations such as GDPR and HIPAA while enabling safe usage of image-based data in AI and computer vision tasks.