# How to Increase Extraction Accuracy

Source: https://www.digiparser.com/docs/guides/how-to-increase-extraction-accuracy

# How to Increase Extraction Accuracy

Set up your parser for more consistent extraction results

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# [How to Increase Extraction Accuracy](#how-to-increase-extraction-accuracy)

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Use this checklist before processing a large batch. Make one change at a time and test it with a few representative documents.

## [Use the closest document type](#1-use-the-closest-document-type)

Choose the **Document Processing Type** that matches the files you receive. Keep different document types in separate parsers.

If one inbox contains mixed files, use a [Document Classifier](/docs/guides/document-classifiers) to route them.

## [Use clear field names](#2-use-clear-field-names)

Name fields after the value you want:

*   Use **Invoice Number**, not **Number**
*   Use **Total Including Tax**, not **Total**
*   Use **Supplier Name**, not **Name**

Use a **Table** for repeating rows such as invoice line items or bank transactions.

## [Describe fields that could be misunderstood](#3-describe-fields-that-could-be-misunderstood)

Add an **AI Description** when the field name is not enough. Describe what to capture and how to distinguish it from similar values.

Example: "The final amount due after tax and discounts, usually labelled Amount Due."

See [Add and Edit Fields](/docs/guides/fields-and-tables/field-setup/add-edit-fields) for field setup.

## [Add reasoning only for difficult decisions](#4-add-reasoning-only-for-difficult-decisions)

For a field that requires a comparison, fallback rule, or calculation, turn on **Enable advanced reasoning** and add a short instruction under **Reasoning logic (optional)**.

Example: "Choose Balance Due when it is present. Otherwise use Total. Do not use Subtotal."

Do not add reasoning to every field. Straightforward values usually work better with a clear field name and AI Description.

## [Test representative documents](#5-test-representative-documents)

Test documents from different suppliers, clients, or layouts--not several copies of the same format.

Start with two or three files. Check important fields and table rows before processing the full batch.

## [Use readable source files](#6-use-readable-source-files)

For scans and photos:

*   Make sure the text is sharp and readable
*   Keep pages straight and fully visible
*   Avoid shadows, handwriting over printed values, and very low-resolution images

If the value is difficult for a person to read, extraction may also be unreliable.

## [Choose processing settings only when needed](#7-choose-processing-settings-only-when-needed)

If your account shows **Data extraction mode**, start with **Accurate**. Use **Critical** selectively for documents where mistakes are especially costly.

For long or difficult tables, review [Advanced Table Extraction](/docs/guides/parsers/parser-settings/advanced-table-extraction).

These options can use additional credits. Check [Credits and Billing](/docs/guides/troubleshooting/credits-and-billing) before enabling higher-cost settings.

## [Add a review step for important data](#8-add-a-review-step-for-important-data)

Accuracy settings reduce mistakes, but important amounts, dates, account numbers, and approval decisions may still need review.

Use [Reviews & Approvals](/docs/guides/reviews-approvals/overview) or enable [Confidence Scores](/docs/guides/parsers/parser-settings/confidence-scores) to help reviewers focus on uncertain values.

## [If results are already wrong](#if-results-are-already-wrong)

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Use [Troubleshoot Extraction Accuracy](/docs/guides/troubleshooting/extraction-accuracy-issues) to diagnose missing values, incorrect fields, or table problems.

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