Document Processing Subflow Settings

• Published on Mar 25, 2026

• 23 minute(s) read

This article describes the settings available in the Document Processing Subflow included in v42. The settings available in custom flows may differ from those described here, depending on which blocks are included in those flows. To learn more about the settings for individual blocks, see Flow Blocks.

As part of our efforts to give you more precise control over your Hyperscience processes, we’ve made many of our settings configurable on the flow level.

While you can build custom flows, each instance of Hyperscience includes a Document Processing flow. To learn more about the version of this flow that comes with v42, see Document Processing Flow in V42.

The Document Processing flow contains several subflows, including the Document Processing Subflow. This article focuses on the settings available in that subflow.

View the subflow’s settings

To view the settings of the Document Processing Subflow:

1. Click Flows in the left-hand sidebar, and click on the name of the Document Processing flow that contains the Document Processing Subflow whose settings you would like to view.

2. Click Edit Flows.

3. On the Flow Studio canvas, click the Start Document Processing Subflow Block.

4. Click the Settings Type drop-down list, and click on a setting type.

Edit the subflow’s settings

After you’ve viewed the subflow’s settings, you can make any necessary changes, and then click Save in the upper-right corner of the page. You can save changes to multiple settings types at once.

Available settings

The sections below describe the settings available for each setting type.

File Filter

Submission Bootstrap

AWS S3

S3 Submission Retrieval Store Configuration

If you are using an S3 bucket as your submission retrieval store and you are not authenticating through IAM roles, provide your AWS access key ID and secret access key in the S3 Submission Retrieval Store Configuration field.

To enter your credentials:

1. Click Edit value.

2. Enter your credentials in JSON format:

{
"aws_access_key_id": "<your_access_key_id>",
"aws_secret_access_key": "<your_secret_key>"
}

You can authenticate requests using AWS Signature Version 2 (SigV2). To use AWS Signature Version 2, add the following variable and value to the S3 Submission Retrieval Store field:

"s3_signature_version":"s3"

3. Click Done.

4. Click Save in the upper-right corner of the page.

5. In the dialog box that appears, click Save & Deploy.

For more information about AWS access key IDs and secret access keys, see Amazon's Understanding and getting your AWS credentials.

S3 Submission Retrieval Endpoint URL

If your submission retrieval store is not in the public cloud (i.e., its URL does not point to s3.amazonaws.com), enter its URL in S3 Submission Retrieval Endpoint URL. You do not need to edit your “.env” file to update this URL.

To edit the endpoint URL for your S3 submission retrieval store:

1. Enter the URL in the S3 Submission Retrieval Endpoint URL field or edit its contents.

2. Click Save in the upper-right corner of the page.

3. In the dialog box that appears, click Save & Deploy.

If the bucket you’re using as your submission retrieval store is in a public cloud (as opposed to a government cloud or an S3-compatible internal setup), leave this field blank.

OCS

If you are using an OCS submission retrieval store, enter the configuration details for your file store in these fields.

When you are finished entering or editing these field’s values, click Save in the upper-right corner of the page. Then, in the dialog box that appears, click Save & Deploy.

OCS Configuration

To enter your configuration details:

1. Click Edit value.

2. Enter the configuration details in JSON format:

{
"host_url": "<your_host_url>",
"username": "<your_username>",
"password": "<your_password>",
"ssl_cert": "<CA_bundle_filename_OR_SKIP>"
}

The value of ssl_cert should match the CA bundle filename inside the $HS_PATH/certs directory. To disable certificate validation, set this value to SKIP.

3. Click Done.

4. Click Save in the upper-right corner of the page.

5. In the dialog box that appears, click Save & Deploy.

v42.3

Generic Web Storage (HTTP/HTTPS)

Generic Web Storage (HTTP/HTTPS) Configuration

If you are using a generic web storage submission file store, enter the configuration details for your file store in this field.

To enter your configuration details:

1. Click Edit value.

2. Enter the configuration details in JSON format:

{
"username": "<your_username>",
"password": "<your_password>",
"ssl_cert": "<CA_bundle_filename_OR_SKIP>"
}

The value of ssl_cert should match the CA bundle filename inside the $HS_PATH/certs directory. To disable certificate validation, set this value to SKIP.

3. Click Done.

4. Click Save in the upper-right corner of the page.

5. In the dialog box that appears, click Save & Deploy.

Azure Blob Storage

If you are using Azure Blob Storage as your submission retrieval store, you can use the fields described below to configure the system’s connection to the blob.

Azure Blob Storage Authentication Type

From the Azure Blob Storage Authentication Type drop-down list, select the authentication type the system should use to access the blob:

• SAS Token Only
• Service Principal
• Managed Identity
• Account Key

When you select an authentication type, additional settings appear.

Settings for SAS Token Only authentication

Settings for Service Principal authentication

Settings for Managed Identity authentication

Settings for Account Key authentication

If incorrect authentication information is entered, the flow runs for the attempted file-ingestion attempts will fail. The flow runs’ output will contain error messages passed to the system by Azure.

For more information about troubleshooting flow runs, see Testing and Debugging Flows.

GCS Storage

If you are using GCS Storage as your submission retrieval store, you can use the fields described below to configure the system’s connection to the blob.

Other settings

Classification

Identification

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