Text Recognition — also known as Optical Character Recognition (OCR) — engines in the Veritone cognitive engine ecosystem recognize text in unstructured, image-based data such as a sign in a picture, a screenshot of a computer document, or a news headline in a video clip, and express that recognized text in a structured format. Image and video OCR can be used to quickly locate key words displayed in thousands of images or hours of video.
Create custom models using text in images specific to your use case with the Veritone Library application or annotation tool.
Identify the text you are looking for quickly within images with searchable text recognition engine output via API and Veritone applications.
Process pictures and video files in near real-time for use cases requiring a fast turnaround of unstructured, image-based data to structured text.
Extract text from short-form or long-form files in video recordings.
Deploy in a new or integrate into an existing application in the cloud via aiWARE GraphQL APIs, or with a subset that can be deployed on-premise via a Docker container. Learn more.
Leverage advanced text recognition machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from Veritone, niche providers, and industry giants.