OCI Vision

Detect objects and classify images

OCI Vision can classify images into thousands of categories to simplify common digital asset management scenarios or identify items that need attention, such as overgrowth near a power line. Developers can also identify and localize objects in images to automate counting of common items, such as packages and vehicles.

Detect text from scanned documents, mobile uploads, PDFs, and more

OCI Vision automatically extracts word- and line-level text from documents that are rotated, tilted, and shaded to support real-world document quality issues often found in expense processing and customer onboarding scenarios.

Extract structure from documents

Automatically identify and extract table structure from documents including the row and column location of each cell within your table. For specific documents, such as receipts, OCI Vision can identify key-value pairs, such as merchant name, total, tax, and tip.

Categorize documents

Identify and classify documents into common categories, such as invoice, receipt, and resume. Common applications include expense processing and enhanced search and retrieval of documents.

Train and manage models effortlessly

In addition to gaining access to pretrained models, developers can create custom models without managing custom model infrastructure. In addition to APIs, the OCI Vision user interface helps developers upload data and train an image classification or object detection model, review custom model metrics, and organize models into projects. This makes creating highly accurate, custom-trained computer vision models accessible to everyone.

Integrate and deploy easily

OCI Vision is a versatile service that can be called via REST APIs, two different SDKs, or the OCI command line. Developers can easily deploy a scalable vision service—without having data science or ML expertise.