Build text extractors to identify specific data within text, including keywords, entities, features, and more. Structure your data in seconds and avoid manual processing!
“The specs of the laptop are: Refurbished Dell Black 14'' E6420 with Intel Core i5 Processor, 6GB Memory, 320GB Hard Drive and Windows 10 Home”
Easily build and train a machine learning model to recognize and extract text data.
Create a model and import your text data by uploading files directly or by connecting with third-party apps.
Define the tags you will use for the extractor. These tags will be used to identify the pieces of text to extract.
Train the extractor by tagging the words or phrases you’d like to extract in the text that appears. The extractor will begin to learn right before your eyes.
Test your trained model to see predicted tags. Improve the extractor with more training and by measuring precision and recall.
Use your new extractor to analyze new or historical texts. Either upload a file to process text in a batch, use integrations with third-party apps, or our API to extract text automatically.