# EmailParseNormalizer **`class EmailParseNormalizer(config)`** Bases: [`Normalizer`](squirro.lib.nlp.steps.normalizers.Normalizer.md#squirro.lib.nlp.steps.normalizers.Normalizer) The email parse [`Normalizer`](squirro.lib.nlp.steps.normalizers.Normalizer.md#squirro.lib.nlp.steps.normalizers.Normalizer) parses an string which is based on a email to extract the email body. More in detail: 1. Find a regex match “Body:” in the non-html email string. 2. Extract body using python email parser. 3. Given a list as discard_footers (e.g. [“Best regards”, “Warm Regards”]), discard the body after first appearance of a footer string. **Input** - all input fields need to be of type [`str`](https://docs.python.org/3.11/library/stdtypes.html#str). Example: ```text From: Squirro\nTo: Hi,\nI hope to find you well. In the emails before you've learned more about our Insights Engine.\nBest regards, Squirro ``` **Output** - all output fields are filled with data of type [`str`](https://docs.python.org/3.11/library/stdtypes.html#str). Example: ```text I hope to find you well. In the emails before you've learned more about our Insights Engine. ``` Parameters - `type` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)) – email_parse - `discard_footers` ([`list`](https://docs.python.org/3.11/library/stdtypes.html#list)) – Discard the text after occurrence of these footer strings. **Example** ```json { "step": "normalizer", "type": "email_parse", "input_fields": ["email"], "output_fields": ["parsed_email"], "discard_footers": ["Best regards", "Warm Regards"] } ``` Methods SummaryMethods Documentation **`process_doc(doc)`** Process a document Parameters `doc` ([`Document`](../technical/libnlp/base.md#squirro.lib.nlp.document.Document)) – Document Returns Processed document Return type [Document](../technical/libnlp/base.md#squirro.lib.nlp.document.Document)