What should be done if data extraction from an invoice needs correction?

When data extraction from an invoice needs correction, manually editing the data is the most direct and practical approach. This allows for precise adjustments to be made to the specific fields that may have been incorrectly interpreted or extracted by the automated process.

By choosing to edit the data manually, you can ensure that the necessary corrections are accurately reflected in the system without needing to initiate a more complex process. This is particularly useful in scenarios where only minor adjustments are required, as it enables quicker resolution and maintains the integrity of the data associated with the invoice.

Other options may introduce complications or be impractical. For instance, running a different model could lead to variations in extraction quality or require additional training without guaranteeing a fix for the issue at hand. Deleting the extracted results might result in loss of data that could have been useful if corrected. Lastly, creating a new invoice can be excessive and burdensome if the original one can simply be corrected, especially when the goal is to streamline operations. Thus, manual editing is often the most efficient and effective method for rectifying data extraction errors.