Spell Check PowerBI

Hi NBR_22 

Natively there isn't a way to do it as per my knowledge. However you can create a custom function which uses a spell checking API. 

For instance, using the Bing Spell Check API:

1. Sign up for the Bing Spell Check API and get your API key.
2. Create a custom function in Power Query to call the API.
3. Invoke the custom function on each row
   
   Here is some sample code, auto generated by AI, I didn't test it:

let
    CheckSpelling = (word) => 
    let
        apiUrl = "https://api.cognitive.microsoft.com/bing/v7.0/spellcheck?text=" & word,
        headers = [#"Ocp-Apim-Subscription-Key" = "Your_API_Key_Here"],
        source = Json.Document(Web.Contents(apiUrl, [Headers=headers])),
        result = source[flaggedTokens] // Check if there are any flagged tokens
    in
        List.IsEmpty(result) // Returns true if the word is correct, false otherwise
in
    CheckSpelling​

Hi NBR_22 

As far as I know there's no easy way. Probably, you can take a look at this solution and see if it applies to you: https://www.youtube.com/watch?v=W-iy9IQ76Gg

While I strongly believe that DAX first purpose isn't dedicated for such operation but here is an example :

The most simple way (especially of your data isn't huge) : 
You'd need a reference list (dictionary) of correctly spelled words. Create a relationship between your data table and this dictionary.

SpellCheck =
IF(
ISBLANK(RELATED('Dictionary'[Word])),
"False",
"True"
)

This will return "False" if the word does not exist in the dictionary, and "True" otherwise.Eventhough being easy, this approach only works for individual words and not phrases. Handling multi-word phrases or sentences would be much more complex.

Or you can use this API Spell Check (this is a thread about it https://stackoverflow.com/a/59588277)

You can also use a Python script : 

import pandas as pd
from spellchecker import SpellChecker

data = dataset

spell = SpellChecker()

data['IsCorrectlySpelled'] = data['YourColumnName'].apply(lambda x: x not in spell.unknown([x]))

output = data

or using R you may need to install the hunspell package : 

library(hunspell)

data <- dataset

# This will return a list where each element corresponds to a word from the input.
# TRUE means the word is correct, FALSE means it's not recognized.
correctly_spelled <- hunspell_check(data$YourColumnName)

data$IsCorrectlySpelled <- correctly_spelled

output <- data