# Overview

Source: https://www.digiparser.com/docs/guides/post-processing/overview

Post Processing

# Overview

Transform and clean your extracted data

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# [Post Processing Overview](#post-processing-overview)

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**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.

## [What is Post Processing?](#what-is-post-processing)

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Post Processing lets you:

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*   **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

## [When to use Post Processing](#when-to-use-post-processing)

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Use Post Processing when:

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*   **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

## [How it works](#how-it-works)

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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

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

## [Post Processing methods](#post-processing-methods)

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*   **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

## [Next steps](#next-steps)

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*   [Lookup Tables](/docs/guides/post-processing/lookup-tables) - Match values using reference data
*   [Data Transformations](/docs/guides/post-processing/data-transformations) - Use pre-built transformations
*   [Custom Code](/docs/guides/post-processing/custom-code) - Write custom transformation code

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API Access

Access your data through the API

](/docs/guides/integrations/api-access)[

Data Transformations

Transform and format your extracted data

](/docs/guides/post-processing/data-transformations)