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+---
+layout: model
+title: Spell Checker in English Text
+author: John Snow Labs
+name: check_spelling_dl
+date: 2022-01-04
+tags: [open_source, en, spell, dl]
+task: Spell Check
+language: en
+edition: Spark NLP 3.3.0
+spark_version: 2.4
+supported: true
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Spell Checker is a sequence-to-sequence pipeline that detects and corrects spelling errors in your input text. It's based on Levenshtein Automaton for generating candidate corrections and a Neural Language Model for ranking corrections. You can download the pretrained pipeline that comes ready to use.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/check_spelling_dl_en_3.3.0_2.4_1641301117763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+from sparknlp.pretrained import PretrainedPipeline
+
+pipeline = PretrainedPipeline('check_spelling_dl', lang='en')
+result = pipeline.fullAnnotate("During the summer we have the hottest ueather. I have a black ueather jacket, so nice.I intrduce you to my sister, she is called ueather.")
+```
+```scala
+import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
+
+val pipeline = new PretrainedPipeline("check_spelling_dl", lang = "en")
+val result = pipeline.fullAnnotate("During the summer we have the hottest ueather. I have a black ueather jacket, so nice.I intrduce you to my sister, she is called ueather.")
+```
+