Tonic Textual allows you to put your text-based data to work for you.
A Textual dataset is a collection of files from a local file system or cloud storage. Textual scans the dataset files to identify sensitive values. You can then choose to redact or replace those sensitive values, to produce output files in the same format that you can safely use for development and training.
A guided redaction project identifies blocks out sensitive values in files. For example, you might use guided redaction to prepare documents in response to a Freedom of Information Act request. Textual scans the files to identify values. You can then review and adjust the results before you download the output files.
You can use the Textual Python SDK or the Textual REST API to manage datasets or to remove sensitive values from individual text strings and files.
Want to know what's in the latest Textual releases? Go to the Textual release notes.
To explore Textual tutorial and demo videos, go to the .
To check the operational status of Textual Cloud, go to .
Need help with Textual? Contact .
Textual entity types
Built-in entity types come with Textual. You can also configure custom entity types.