Tonic Textual guide

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 SDK or the Textual REST API to manage datasets or to remove sensitive values from individual text strings and files.

Startup and overview

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.

About guided redaction (beta)

Use Textual to identify and block out sensitive values in files.

Textual SDK, REST API, and other integrations

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.

Microsoft Fabric integration

Use the Textual workload in Fabric to detect and replace sensitive values in OneLake files.

Snowflake Native App

Use the Snowflake Native App to redact values in your data warehouse.

Need help with Textual? Contact [email protected].