LogoLogo
Release notesPython SDK docsDocs homeTextual CloudTonic.ai
  • 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
Powered by GitBook
On this page
  • Original tab - File content
  • Entities tab - Detected entities in the file
  • JSON tab - Output JSON for the file
  • Tables tab - Tables in a PDF or image file
  • Key-Value Pairs tab - Key-value pairs in a PDF or image file

Was this helpful?

Export as PDF
  1. Pipelines - Prepare LLM content
  2. Viewing pipeline results

Displaying details for a processed file

Last updated 14 days ago

Was this helpful?

Required pipeline permission: Preview pipeline files

From a file list, to display the details for a file, click the file name.

Original tab - File content

For files other than .txt files, the Original tab allows you to toggle between the generated Markdown and the rendered text.

For a .txt file, where there is no difference between the Markdown and the rendered text, the Original tab displays the file content.

In a pipeline that is configured to also generate redacted files, the Redacted <file type> option allows you to display the redacted version of a PDF or image file.

Entities tab - Detected entities in the file

The Entities tab displays the file content with the detected entity values in context.

The actual values are followed by the type labels. For example, the given name John is displayed as John NAME_GIVEN.

JSON tab - Output JSON for the file

The JSON tab contains the content of the output file. For cloud storage pipelines, the files are also in the output location that you configured for the pipeline.

For details about the JSON output structure for the different types of files, go to Structure of the pipeline output file JSON.

Tables tab - Tables in a PDF or image file

For a PDF or image file that contains one or more tables, the Tables tab displays the tables. If the file does not contain any tables, then the Tables tab does not display.

Key-Value Pairs tab - Key-value pairs in a PDF or image file

For a PDF or image file that contains key-value pairs, the Key-Value Pairs tab displays the key-value pairs. If the file does not contain key-value pairs, then the Key-Value Pairs tab does not display.

Original tab on the processed file details for a file that is not a .txt file
Original tab for a processed .txt file
Pipeline file details with the option to view the redacted file
Entities tab on the processed file details
JSON tab on the processed file details
Tables tab for a processed pipeline file
Key-Value Pairs tab for a processed pipeline file