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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
    • Datasets workflow for text redaction
    • Creating and managing datasets
    • Assigning tags to datasets
    • Displaying the file manager
    • Adding and removing dataset files
    • Reviewing the sensitivity detection results
    • Configuring the redaction
      • Configuring added and excluded values for built-in entity types
      • Working with custom entity types
      • Selecting the handling option for entity types
      • Configuring synthesis options
      • Configuring handling of file components
    • Adding manual overrides to PDF files
      • Editing an individual PDF file
      • Creating templates to apply to PDF files
    • Sharing dataset access
    • Previewing the original and redacted data in a file
    • Downloading redacted data
  • Pipelines - Prepare LLM content
    • Pipelines workflow for LLM preparation
    • Viewing pipeline lists and details
    • Assigning tags to pipelines
    • Setting up pipelines
      • Creating and editing pipelines
      • Supported file types for pipelines
      • Creating custom entity types from a pipeline
      • Configuring file synthesis for a pipeline
      • Configuring an Amazon S3 pipeline
      • Configuring a Databricks pipeline
      • Configuring an Azure pipeline
      • Configuring a Sharepoint pipeline
      • Selecting files for an uploaded file pipeline
    • Starting a pipeline run
    • Sharing pipeline access
    • Viewing pipeline results
      • Viewing pipeline files, runs, and statistics
      • Displaying details for a processed file
      • Structure of the pipeline output file JSON
    • Downloading and using pipeline output
  • Textual Python SDK
    • Installing the Textual SDK
    • Creating and revoking Textual API keys
    • Obtaining JWT tokens for authentication
    • Instantiating the SDK client
    • Datasets and redaction
      • Create and manage datasets
      • Redact individual strings
      • Redact individual files
      • Transcribe and redact an audio file
      • Configure entity type handling for redaction
      • Record and review redaction requests
    • Pipelines and parsing
      • Create and manage pipelines
      • Parse individual files
  • Textual REST API
    • About the Textual REST API
    • REST API authentication
    • Redaction
      • Redact text strings
  • Datasets
    • Manage datasets
    • Manage dataset files
  • Snowflake Native App and SPCS
    • About the Snowflake Native App
    • Setting up the app
    • Using the app
    • Using Textual with Snowpark Container Services directly
  • Install and administer Textual
    • Textual architecture
    • Setting up and managing a Textual Cloud pay-as-you-go subscription
    • Deploying a self-hosted instance
      • System requirements
      • Deploying with Docker Compose
      • Deploying on Kubernetes with Helm
    • Configuring Textual
      • How to configure Textual environment variables
      • Configuring the number of textual-ml workers
      • Configuring the number of jobs to run concurrently
      • Configuring the format of Textual logs
      • Setting a custom certificate
      • Configuring endpoint URLs for calls to AWS
      • Enabling PDF and image processing
      • Setting the S3 bucket for file uploads and redactions
      • Required IAM role permissions for Amazon S3
      • Configuring model preferences
    • Viewing model specifications
    • Managing user access to Textual
      • Textual organizations
      • Creating a new account in an existing organization
      • Single sign-on (SSO)
        • Viewing the list of SSO groups in Textual
        • Azure
        • GitHub
        • Google
        • Keycloak
        • Okta
      • Managing Textual users
      • Managing permissions
        • About permissions and permission sets
        • Built-in permission sets and available permissions
        • Viewing the lists of permission sets
        • Configuring custom permission sets
        • Configuring access to global permission sets
        • Setting initial access to all global permissions
    • Textual monitoring
      • Downloading a usage report
      • Tracking user access to Textual
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  • Sending a file to Textual
  • Getting the file with redacted or synthesized values

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  1. Textual Python SDK
  2. Datasets and redaction

Redact individual files

Last updated 14 days ago

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Required global permission: Use the API to parse or redact a text string

You can use the Textual SDK to redact and synthesize values in individual files.

Before you perform these tasks, remember to .

For a self-hosted instance, you can also configure the S3 bucket to use to store the files. This is the same S3 bucket that is used to store files for uploaded file pipelines. For more information, go to Setting the S3 bucket for file uploads and redactions. For an example of an IAM role with the required permissions, go to .

Sending a file to Textual

To send an individual file to Textual, you use .

You first open the file so that Textual can read it, then make the call for Textual to read the file.

with open("<path to the file>", "r") as f:
    j = textual.start_file_redaction(f,"<file name>")

The response includes:

  • The file name

  • The identifier of the job that processed the file. You use this identifier to retrieve a transformed version of the file.

Getting the file with redacted or synthesized values

After you use to send the file to Textual, you use to retrieve a transformed version of the file.

To identify the file, you use the job identifier that you received from textual.start_file_redaction. You can for the detected entity values.

Before you make the call to download the file, you specify the path to download the file content to.

with open("<path to output location>", "wb") as fo:
    fo.write(textual.download_redacted_file(<job identifier>)
instantiate the SDK client
textual.start_file_redaction
textual.start_file_redaction
textual.download_redacted_file
specify the entity type handling
Example IAM role for file uploads and redactions