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Tonic Textual guide
Getting started with Textual
Previewing Textual detection and redaction
Entity types that Textual detects
- Built-in entity types
- Managing custom entity types
Language support in Textual
Datasets - Create redacted files
Pipelines - Prepare LLM content
Textual Python SDK
Textual REST API
Datasets
- Manage datasets
- Manage dataset files
Snowflake Native App and SPCS
Install and administer Textual

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Install and administer Textual

Configuring Textual

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You can configure your self-hosted instance of Textual to enable Textual features.

Configure environment variables

How to set environment variable values and restart Textual in Docker and Kubernetes.

Set the number of textual-ml workers

Used to enable parallel processing in Textual.

Set a custom certificate

Provide a custom certificate to use for https traffic.

Configure custom AWS endpoints

Set custom endpoint URLs for calls to AWS services.

Enable PDF and image processing

Set the required configuration based on the OCR option that you want to use.

Enable uploads to uploaded file pipelines

Provide the required access to Amazon S3.

Configure model preferences

Select an auxiliary model and configure model usage for GPU.