Cognitive Engines

Text

Analyze and transform text to extract insights automatically and at scale with Natural Language Processing (NLP).

Language Identification

Detect one or multiple of over 25 different natural languages in text.

Language Identification engines in the Veritone cognitive engine ecosystem analyze text to pinpoint the language(s) present.

Features

Broad Language Support

Convert speech to text in over 25 different natural languages and dialects in the cloud and a subset locally to support a diverse user-base, workforce, or population.

Near Real-Time Processing

Process text files in near real-time for use cases requiring quick language identification turnaround at scale.

Long-Form Text Support

Recognize languages in short-form or long-form files.

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 language identification 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.

Translation 

Translate text in over 110 different languages and dialects.

Translation engines in the Veritone cognitive engine ecosystem transform written and transcribed text from one language to another.

With specialized machine-learning algorithms for not only languages but dialects and slang, you can dramatically increase the scope of niche translation use cases.

Features

Broad Language Support

Translate text in over 110 different languages and dialects in the cloud and a subset locally to support a diverse user-base, workforce, or population.

File Format Continuity

Receive translation engine output in the original file format including plain text, Microsoft PowerPoint, Microsoft Word, and Microsoft Excel formats.

Near Real-Time Processing

Process text files in near real-time for use cases requiring quick translation turnaround at scale.

Files or Stream Support

Translate short-form or long-form text in both individual files or file 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 translation 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.

Entity Extraction

Classify entities in text into categories such as people or places.

Entity Extraction — often known as named-entity recognition — engines in the Veritone cognitive engine ecosystem classify words and phrases found in unstructured text into predefined categories, such as people, organizations, and locations.

Entity extraction cognitive engines can also denote the time or date which assists during pre-processing large volumes of data.

Features

Pre-Trained Entity Library

Label words, phrases, and concepts text by people, places, organizations, locations, product, title, nationality, religion, credit card number, email address, money, personal identification numbers, URL, dates, time, distance, longitude and latitude, and more to support diverse, time-saving use cases.

Near Real-Time Processing

Process text files in near real-time for use cases requiring entity extraction fast and at scale.

Long-Form Text Support

Classify short-form or long-form text files.

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 entity extraction 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.

Content Classification

Categorize text files and images according to their content.

Content Classification engines in the Veritone cognitive engine ecosystem categorize one or more documents into predefined categories based on what words the text contains.

Features

Multiple Language Support

Classify text in multiple different natural languages including English, Russian, Arabic, Spanish, French, and Chinese to support a diverse user-base, workforce, or population.

Broad Pre-Trained Taxonomy Libraries Support

Categorize text according to hundreds of thousands of pre-defined taxonomies and relationship frameworks by the general IAB Tech Lab Content Taxonomy Version 2.0 and the IPTC NewsCodes taxonomy for media.

Near Real-Time Processing

Process text files in near real-time for use cases requiring content classification for fast analysis at scale.

Long-Form Text Support

Classify short-form or long-form text in files.

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 content classification 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.

Keyword Extraction

Identify specific terms and/or phrases in text.

Keyword Extraction engines in the Veritone cognitive engine ecosystem identify the most significant keywords and expressions that appear in one or more documents, based on parts of speech, salience, or other criteria.

Features

Near Real-Time Processing

 Process text in near real-time for use cases requiring keyword extraction for fast analysis at scale via GraphQL API and Veritone Textbox UI.

Files or Stream Support

Extract keywords from short-form or long-form text in both individual files or file 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 keyword extraction 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.

Summarization

Generate a summary of all or a selected portion of a text file.

Summarization engines in the Veritone cognitive engine ecosystem generate a condensed version of a text whose length is based on a preset percentage of the original text.

Features

Configurable Summary Length

Create summaries with custom lengths for your use case by setting an optional size input value to a percentage of the original text – from 0 to 50% with default set at 10%.

Near Real-Time Processing

Process text files in near real-time for use cases requiring summarization for fast analysis at scale.

Long-Form Text Support

Summarize short-form or long-form text in files.

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 summarization machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from 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.

Text Extraction  

Extract unstructured text and express it in a structured format.

Text Extraction engines in the Veritone cognitive engine ecosystem extract text from semi-structured, text-based data such as PDFs or Microsoft Word documents and express that recognized text in a structured format. 

Features

Searchable Results

Identify the text keywords you are looking for quickly within semi-structured data with searchable text extraction engine output via API and Veritone applications.

Near Real-Time Processing

Process text files in near real-time for use cases requiring text extraction for fast analysis at scale.

Long-Form Text Support

Extract short-form or long-form text in files.

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 extraction 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.

Sentiment Analysis

Discern tone in text to classify it by emotion.

Sentiment Analysis engines in the Veritone cognitive engine ecosystem discern the tone behind a series of written words, which helps you gain an understanding of the attitudes, opinions, and emotions expressed.

These engines classify text according to sentiment or emotion, which depending on the engine, can be a score representing the overall negative, positive, or neutral sentiment for the file and by sentence, or can include a wider breadth of tags such as “happy” or “excited.”

Features

Near Real-Time Processing

Process text files in near real-time for use cases requiring a determination of emotion for fast analysis at scale via GraphQL API and Veritone Textbox UI.

Long-Form Text Support

Extract short-form or long-form text in files.

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 sentiment analysis 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.

Anomaly Detection 

Locate potential abnormalities in a time series.

Anomaly Detection engines in the Veritone cognitive engine ecosystem assign a confidence value to specific entries in time-series data sets with the goal of predicting which events are anomalous.

Simply ingest time-series data that gives the engine a list of numbers representing certain events and corresponding timestamps of when they occurred. The engine will process this and return the likelihood that any given event is anomalous.

Features

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 anomaly 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, tutorials, and demo to get started.

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