Image/Scanned document De-Identification
Key-value extraction from the image documents
Introducing our cutting-edge AI service for effortlessly extracting key information from image documents. Our innovative solution employs advanced machine learning algorithms to accurately parse and interpret textual data embedded within images, delivering seamless extraction of key values with unparalleled precision.
DICOM De-Identification
We offer advanced de-identification solutions for DICOM files, ensuring that all patient-related information is securely removed or anonymized, while maintaining the integrity and quality of the medical images.
More detailsPDF De-Identification
Our PDF de-identification services ensure that all textual and graphical elements containing patient information are safely removed or redacted, preserving the document's original format and readability.
More about PDF de-identificationOur benefits
- Scalable solution capable of running on a Spark cluster or as a REST API service.
- Can be deployed on your isolated infrastructure or on cloud platforms such as AWS, Azure, or Databricks.
- Can run on both CPU and GPU.
- Supports handling large files:
- Up to 3GB DICOM files.
- Up to 10,000 pages of PDF files.
- Human orĀ Generative AI basedĀ control quality of results of each document/page