Cognitive Engines

Vision

Identify and extract details from pictures and videos with computer vision.

Text Recognition (OCR)

Convert alphanumeric characters in documents, images, or video into text strings.

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 or screenshot of a computer document and express that recognized text in a structured format. 

Features

Trainable with Custom Libraries

Create custom models using text in images specific to your use case with the Veritone Library application or annotation tool.

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.

GET STARTED

$100 Cognitive Engine Processing Credit

Get instant access and a $100 credit* by signing up for a free Developer account.

*Veritone will apply a credit toward the first $100 incurred in each month for data ingestion and cognitive engine processing usage only.

Documentation & Tutorials

Explore the documentation and tutorials to get started.

Object Detection

Detect one or multiple objects or concepts, such as colors, in an image or video.

Object Detection — often referred to as object recognition — engines in the Veritone cognitive engine ecosystem detect the presence of one or multiple objects within video or still images, including vehicles, people, animals, and more.

Features

Trainable with Custom Libraries

Create custom models using objects in images or video specific to your use case with the Veritone Library application or annotation tool.

Broad Pre-Trained Object Library

Identify thousands of objects including vehicles, people, animals, landmarks, weapons, colors, food, art, apparel, and more in video and images with pre-trained labeling.

Searchable Results

Identify the objects you are looking for quickly by label within images and video with searchable object detection engine output via API and Veritone applications.

Near Real-Time Processing

Process pictures and video files in near real-time for use cases requiring fast turnaround of objects detected in data sets such as broadcasts, CCTV, still image collections, and more. 

Files or Stream Support

Recognize objects in short-form or long-form videos in video recordings, streamed video recordings or images, or live video or image streams.

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 object detection machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from Veritone, niche providers, and industry giants.

GET STARTED

$100 Cognitive Engine Processing Credit

Get instant access and a $100 credit* by signing up for a free Developer account.

*Veritone will apply a credit toward the first $100 incurred in each month for data ingestion and cognitive engine processing usage only.

Documentation & Tutorials

Explore the documentation and tutorials to get started.

License Plate Recognition

Produce text strings of alphanumeric characters appearing in license plates recognized in images or video.

License Plate Recognition — also known as Automated License Plate Recognition (ALPR) — engines in the Veritone cognitive engine ecosystem detect license plates and extract text strings off these license plates in images or videos to extract time-saving, actionable insights from large data volumes.

Features

Near Real-Time Processing

Process pictures and video files in near real-time for use cases requiring a fast turnaround of license plate text in data sets such as CCTV, mobile phone video, and more.

Long-Form Video Support

Extract license plate text from short-form or long-form 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 license plate recognition machine learning algorithms from the Veritone managed cognitive engine ecosystem– including algorithms from Veritone, niche providers, and industry giants.

GET STARTED

$100 Cognitive Engine Processing Credit

Get instant access and a $100 credit* by signing up for a free Developer account.

*Veritone will apply a credit toward the first $100 incurred in each month for data ingestion and cognitive engine processing usage only.

Documentation & Tutorials

Explore the documentation and tutorials to get started.

Logo Detection

Recognize logos and branding elements in images or video.

Logo Detection — often referred to as logo recognition — engines in the Veritone cognitive engine ecosystem detect and identify images that represent specific retailers, sports teams, media networks, products, companies, and more in images and video.

Features

Trainable with Custom Libraries

Create custom models using logos in images or video specific to your use case with the Veritone Library application or annotation tool as well as API.

Broad Pre-Trained Logo Library

Identify hundreds of logos including sports teams, broadcasters, brands, and more in video and images with Veritone’s pre-trained library.

Searchable Results

Identify the logos and brands you are looking for quickly within images and video with searchable logo detection engine output via API and Veritone applications.

Near Real-Time Processing

Process pictures and video files in near real-time for use cases requiring fast turnaround of logos recognized in data sets such as broadcasts, advertisements, and more.

Long-Form Video Support

Recognize logos in short-form or long-form 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 logo detection machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from Veritone, niche providers, and industry giants.

GET STARTED

$100 Cognitive Engine Processing Credit

Get instant access and a $100 credit* by signing up for a free Developer account.

*Veritone will apply a credit toward the first $100 incurred in each month for data ingestion and cognitive engine processing usage only.

Documentation & Tutorials

Explore the documentation and tutorials to get started.

Contact Us