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 data files to identify sensitive values. It redacts or replaces those sensitive values, to produce output files in the same format that you can safely use for development and training.
You can also instead use a dataset to prepare unstructured text for use in an LLM system. Textual can produce a JSON summary of the detected values, which includes Markdown-formatted output.
You can use the Textual SDK or the Textual REST API to manage datasets or to remove sensitive values from individual text strings and files.
Need help with Textual? Contact [email protected].
Getting started with Textual
Sign up for a Textual account.
Textual entity types
Built-in entity types come with Textual. You can also configure custom entity types.
Preview Textual detection and redaction
Use the home page to see how Textual identifies sensitive values in text or a file.
Datasets workflow
Use Textual to detect and replace sensitive values in files.
Manage API keys
Generate and revoke API keys for SDK and API authentication.
SDK - Datasets and redaction
Use the Textual Python SDK to redact text and manage datasets. Review redaction requests in the Request Explorer.
REST API
Use the Textual REST API to redact text strings, manage datasets, and manage user access.
Snowflake Native App
Use the Snowflake Native App to redact values in your data warehouse.