Troubleshooting Data Extraction Errors in ML Skill Due to Corrupted Payload

Question Customers are experiencing a reoccurrence of an error issue in the Data Extraction Scope activity while extracting document values using a specific model of MLSkill. The issue appears to occur with a specific document type that has been previously trained. Only one document is currently affected.

Issue Description + Resolution

Error Description

The error message ServiceException 400: InvalidRequest - Payload is Corrupt indicates that the transmitted data is corrupted or invalid. This confirms that the server was unable to process the request properly. The error seems to occur with a specific document type.

Potential Cause

Formatting issues or certain text elements in the PDF files may be causing conflicts with MLSkill's prediction process.

Resolution Steps

  1. Apply one of the PDF files to the ML Skill individually and observe the behavior.
  2. Test after converting the problematic PDF file to another format (e.g., PNG or TIFF image) to check if the issue persists.