Introduction

About Taylor

Taylor provides an API for extracting and classifying key information from raw text data. Our platform allows developers to add text classification to user-facing products or internal data pipelines with a few lines of code.

Text Classification

Classification assigns messy and unstructured text to one or more fixed categories. This allows developers to build predictable workflows, improve search, automate decision-making, and flag important information for human review.

Our pre-trained classification models can be used off-the-shelf for diverse use cases including categorizing job descriptions, classifying product listings, and identifying user intent.

Custom Classifiers

With custom models, users can build and deploy text classifiers with their own taxonomy with categories specific to their product. Once built, these models can be accessed by sending requests to our API. Thanks to our automatic classifier training, you can build a custom classification model with the push of a button, even with no labeled data.

Entity Extraction

Entity extraction pulls key information (such as people, skills, companies, and more) from text data. Taylor's entity extraction API can handle both extracting entities, and resolving them to a list of valid options (canonical names).