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.
Text Recognition Features:
- Trainable with Custom Libraries
- Searchable Results
Identify the text you are looking for quickly within images with searchable text recognition engine output via API and Veritone applications.
- Near Real-Time Processing
Process pictures and video files in near real-time for use cases requiring a fast turnaround of unstructured, image-based data to structured text.
- Long-Form Video Support
Extract text from short-form or long-form files in video recordings.
- Flexible Deployment
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.
- Powered by an AI Ecosystem
Leverage advanced text recognition machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from Veritone, niche providers, and industry giants.