Flow Blocks

With the introduction of flows, we have created the following types of blocks to help you customize your flows to meet your teams’ needs. To learn more about any of these blocks, or for assistance in adding them to your flows, contact your Hyperscience representative.

Block types and settings

 Input Blocks

Formerly known as “Input Connectors,” Input Blocks allow you to integrate your organization’s data sources into our system. Through these blocks, you can process documents from a variety of sources, such as inboxes, message queues, or folders on the network.

A full list of the Input Blocks we currently support, along with more details about each, can be found in Input Blocks. 

Settings

No matter how many Input blocks you choose to enable, information about those blocks is contained in a main Input block for your flow. This block has the settings described below.

 Submission Initialization

The Submission Initialization Block contains settings that connect your flow to your:

• AWS S3 submission retrieval store,

• OCS submission retrieval store, or

• Generic web storage (HTTP/HTTPS) submission retrieval store.

Settings

You can customize the functionality of your block by editing the settings described below.

S3 Submission Retrieval Store

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 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 — for example, a government cloud or an S3-compatible internal setup), 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 Configuration

If you are using an OSC 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: 

   {
   "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.

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.

Classification Blocks

We’ve divided our Classification function into two blocks: one for Machine Classification and another for Manual Classification.

 Machine Classification

With machine classification, Hyperscience can automatically match your submissions to Structured, Semi-structured, or Additional layouts. Machine classification requires training to recognize the kinds of submissions you process through Hyperscience.

Settings

 Manual Classification

Manual Classification, or Classification Supervision, allows your keyers to manually match submissions to their layouts. Depending on your flow, keyers may perform Classification Supervision if the system cannot match a submission to a layout with high confidence.

Settings

You can customize the functionality of your Manual Classification Block by adding Task Restrictions.

Identification Blocks

We’ve created two Identification blocks to cover both our machine Identification and Identification Supervision capabilities.  

 Machine Identification

With Machine Identification, you can automate the identification of fields and tables in your submissions.

Settings

Other than the settings under “Block Details,” Machine Identification Blocks have no block-specific settings. 

Manual Identification

Manual Identification allows your keyers to complete Field ID Supervision or Table ID Supervision tasks, where they draw bounding boxes around the contents of certain fields, table columns, or table rows. This identification process ensures that the system transcribes the correct content in the Transcription steps of the data-extraction process.

Settings

You can customize the functionality of your Manual Identification Block by adding Task Restrictions.

Transcription Blocks

Just as we did with Classification and Identification, we’ve divided our Transcription capabilities into Machine Transcription and Manual Transcription Blocks.

Machine Transcription

In the Machine Transcription Block of your flow, Hyperscience automatically transcribes the content of your submissions, whether the text was written by hand or typed through a machine. 

Settings

Other than the settings under “Block Details,” Machine Transcription Blocks have no block-specific settings.

Manual Transcription

Manual Transcription, or Transcription Supervision, lets your keyers manually enter the text found in fields or tables. Depending on your settings, your keyers may manually transcribe certain pre-selected fields or fields that the machine could not transcribe with high confidence.

Settings

You can customize the functionality of your block by editing the settings described below.

Task Restrictions

Supervision

Flexible Extraction Block

Depending on your flow’s configuration, Flexible Extraction tasks allow your keyers to:

• validate transcriptions, or

• add transcriptions to manually categorized Structured pages, which did not go through regular Transcription Supervision. 

To use Flexible Extraction as a data-validation method, you need a Custom Code Block. The rules in that block determine when a document should be sent to Flexible Extraction, as well as whether the entire document or particular fields should be validated. For information on setting up Custom Code Blocks and Flexible Extraction Blocks in this way, contact your Hyperscience representative.

Settings

You can customize the functionality of your block by editing the settings described below.

Task Restrictions

Supervision

Collation Block

We’ve created a Collation Block to allow grouping of files, documents, and pages into cases. To learn more about Case Collation, see Case Collation.

Settings

You can customize the functionality of your block by editing the settings described below.

Custom Supervision Block

To enable the tailoring of a Supervision task’s interface to a specific business process, we’ve created a Custom Supervision Block.

To use Custom Supervision, you need a custom flow with a Custom Code Block:

• A custom flow is required because the Custom Supervision Block is not included in the default Document Processing flow. 

• A Custom Code Block is required to define and format the data input that the Custom Supervision Block needs to show a task.

• A Routing Block is not required, but it controls whether a submission is sent to Custom Supervision or not. Without a Routing Block, every submission to your custom flow will go to Custom Supervision. 

Settings

Database Blocks

Database Blocks allow you to make queries from Hyperscience to databases, which increases the overall speed of your flows by minimizing the need for manual transcription.

To learn more about Database Blocks, see Database Blocks.

Custom Code Blocks

Custom Code Blocks enable you to transform and validate extracted submission data before Hyperscience sends it to your downstream systems. The table below lists the kinds of post-processing rules you can implement with Custom Code Blocks. 

You cannot add Custom Code Blocks to your flow through the platform. To learn more about Custom Code Blocks, or to add them to your flows, contact your Hyperscience representative.

Settings

If your business needs change and you need to modify a Custom Code Block’s code (e.g., add a keyword to a keyword search), you can do so with guidance from Hyperscience. To learn more, see Modifying Custom Code Blocks.

Named Entity Recognition Block

The Named Entity Recognition Block allows you to:

• detect key PII entities such as:

  • Names

  • Addresses

  • Locations

  • Organizations

  • Companies

• enhance full-page transcription output with information about detected entities.

You need to use Named Entity Recognition Blocks in conjunction with Full Page Transcription Blocks. For example, you can build a redaction flow that processes documents through full-page transcription, then detects all personal names, and at the end uses a Custom Code Block to put black boxes over the detected names. 

Routing Blocks

Routing Blocks let you send submission data to different destinations based on the criteria you specify. In this way, Routing Blocks create branches in your flow. 

You cannot add or configure Routing Blocks in the application. For assistance, contact your Hyperscience representative.

Settings

Other than the settings under “Block Details,” Routing Blocks have no block-specific settings. 

API Blocks

API Blocks allow you to connect to other data sources in your organization in order to augment or verify extracted data. You can work with your Hyperscience representative to configure these blocks and place them anywhere in your flow after data extraction. API Blocks do not contain business logic; that logic lives in subsequent flow blocks.

We offer two types of API Blocks: HTTP Rest and SOAP.

For more information about API Blocks, see API Blocks.

Complete Blocks

Every flow needs a Complete Block. This block initiates Quality Assurance tasks and changes the submission’s status to “Complete.”

Settings

Other than the settings under “Block Details,” Complete Blocks have no block-specific settings. 

Output Blocks

Output Blocks were called “Output Connectors” in previous versions of Hyperscience. With Output Blocks, you can send data extracted by Hyperscience to other systems for downstream processing. If you want your flow to send notifications for submission statuses other than “Complete,” you will need to work with your Hyperscience representative to set up a separate Notification flow.

A full list of the Output Blocks we currently support, along with more details about each, can be found in Output Blocks. 

You can control which Output Blocks are enabled in your flow at any time by selecting or deselecting the Enabled option in each Output Block.

Settings shared by all block types

All blocks have the following settings under “Block Details”: