# What algorithms are used by Delpha

## What Algorithms Are Used by Delpha to Detect Duplicates?

Delpha uses a set of advanced matching algorithms and normalization techniques to identify duplicate records across different field types in Salesforce. The logic determines how values are compared between records to calculate similarity and duplication scores.

## Matching Algorithms & Normalization by Field Type

| **Field Type**  | **Matching Algorithm**                           | **Normalization**                                                                          |
| --------------- | ------------------------------------------------ | ------------------------------------------------------------------------------------------ |
| **String**      | Exact, Jaro-Winkler, QGram Tokenizer, TF-IDF     | Lowercase, ASCII table                                                                     |
| **Boolean**     | Exact                                            | None                                                                                       |
| **Email**       | Exact, Partial segmentation, Domain name average | Lowercase, Validity checks                                                                 |
| **Phone**       | Exact                                            | ASCII table, e164 normalization                                                            |
| **Number**      | Exact                                            | Rounded                                                                                    |
| **URL**         | Exact                                            | ASCII & percent-encoded triplet, Path ending normalization (`"/"`), Protocol normalization |
| **Address**     | Partial, Euclidian distance                      | Coordinate normalization                                                                   |
| **Coordinates** | –                                                | Coordinate normalization                                                                   |

## Why It Matters

Delpha’s duplicate detection engine uses both **exact and fuzzy matching algorithms** to catch near-duplicates often missed by basic tools. For example:

* Emails are split and scored by domain and format.
* URLs are normalized to avoid false negatives caused by minor syntax differences.
* Addresses use **Euclidian distance** to detect close matches even with typos or format variations.


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