Post Processing runs after DigiParser extracts data from your documents. You can use it to transform, clean, and enrich the extracted data before it's exported or sent to integrations.

Post Processing lets you:

• Transform values – Format dates, clean up numbers, remove currency symbols, convert text to numbers
• Enrich data – Match vendor names to IDs using lookup tables, add calculated fields
• Validate data – Check that values meet certain rules before export
• Standardize formats – Make sure dates, amounts, and other values are consistent

Use Post Processing when:

• Extracted data needs cleaning – e.g. amounts have "$" symbols that need removing, dates are in different formats
• You need to match values – e.g. match vendor names from documents to vendor IDs in your system using lookup tables
• You want calculated fields – e.g. calculate totals, add tax, compute percentages
• Data needs standardization – e.g. format all dates the same way, standardize currency

1. DigiParser extracts data from your document
2. Post Processing runs and transforms the data
3. The transformed data is what gets exported or sent to integrations

Post Processing runs automatically for every document you process, so you don't need to do anything extra after setting it up.

• Lookup Tables – Match extracted values (e.g. vendor names) to reference data (e.g. vendor IDs) from a file
• Data Transformations – Use pre-built transformations to clean and format data
• Custom Code – Write JavaScript code to transform data exactly how you need it

• Lookup Tables – Match values using reference data
• Data Transformations – Use pre-built transformations
• Custom Code – Write custom transformation code