# Advanced Post Processing for Cleaner Export Data | DigiParser

Source: https://www.digiparser.com/features/advanced-post-processing

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Advanced Post Processing

Advanced Post Processing

# Send clean data to your tools every time

Post processing cleans and standardizes extracted values before export, so your team spends less time fixing data in spreadsheets.

[Start free trial](https://app.digiparser.com/auth/join)[Book a demo](/schedule-demo)

Before and after transformation

Live style example

TransformBeforeRaw extracted valuesAfterPost-processed outputDate: 3/7/24Amount: $1,245.50Vendor: Acme Supplies LLCVendor ID: (empty)Category: office-expDate: 2024-03-07Amount: 1245.50Vendor: ACME SUPPLIESVendor ID: VEND-00182Category: Office ExpensesClean + format + enrich before export

### No more messy exports

Remove symbols, fix formatting, and normalize values before they leave DigiParser.

### Same format everywhere

Keep dates, totals, and key fields consistent across suppliers and teams.

### Less manual correction

Apply rules once and stop fixing the same output issues file by file.

### Ready for your tools

Send cleaner output to sheets, accounting apps, and APIs without extra cleanup.

## How post processing fits your workflow

A simple four-step flow from extraction to clean export.

### 1Extract

DigiParser captures values from your document as usual.

### 2Transform

Data transformations clean text, numbers, and date formats.

### 3Enrich

Lookup tables map names to IDs and add missing business context.

### 4Export

Integrations and exports receive the transformed output automatically.

Post-processing methods

### Choose the method that fits your team

Start with simple transformations, then use lookup tables or custom rules as needed.

Data Transformations

Use built-in actions to clean and format values automatically.

*   Remove currency symbols
*   Convert text to numbers
*   Normalize date formats

Lookup Tables

Match extracted values with your reference data before export.

*   Map vendor names to vendor IDs
*   Standardize location or category values
*   Apply consistent internal codes

Custom Code

Use JavaScript rules for advanced transformations your team needs.

*   Build custom field logic
*   Create conditional output values
*   Handle complex edge cases

Practical examples

### Where teams use it most

AP team month-end close

Invoices from different vendors arrive in mixed formats. Post processing standardizes date and amount fields before export.

Vendor mapping to ERP IDs

Supplier names from documents are matched with your vendor master so exports always carry the correct internal ID.

Ops reporting consistency

Teams create consistent calculated fields for reports so dashboards stay clean and comparable every week.

Operational behavior

### When and how it runs

Post processing runs right after extraction and before every export or integration push.

The transformed output is what your downstream tools receive, so teams don't need to clean values again in spreadsheets.

Once configured, it runs automatically for every processed document without extra manual steps.

Team impact

### Cut weekly cleanup work for finance teams

Weekly operations effort

Manual cleanup vs automated post processing

Accounts team example

Manual cleanup timeCleanup after automationFiles reviewed per week14 hrs/week5 hrs/weekHigher weekly throughput

Teams save cleanup time and review more documents each week because exports are cleaner by default.

## Frequently asked questions

### What is post processing in DigiParser?

Post Processing runs after extraction. It helps you clean, transform, and enrich values before data is exported to your tools.

### Do I need to run post processing manually each time?

No. Once set up, post processing runs automatically for every matching document.

### Can I map supplier names to internal IDs?

Yes. Use lookup tables to match extracted values like supplier names to your internal IDs.

### Can I use custom logic for complex rules?

Yes. DigiParser supports custom code so your team can apply advanced transformations when needed.

## Set up advanced post processing quickly

Clean, map, and standardize document data automatically before it reaches your systems.

[Start free trial](https://app.digiparser.com/auth/join)[Book a demo](/schedule-demo)