Cleaning Data with inconsistent decimal separators

This may work, if your differentiation is that a token followed by two (or one) digits is the decimal token:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtQxMjbRMzVQyE5XitWJVgIThnpAQR1Tb2QhI718YwVkkcSCgqL8Cj0FQx1TFM0GOgqGRpjGQU2BMYBCUIYhQo2CtgLQWjOl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}}),
    #"Removed Blank Rows" = Table.SelectRows(#"Changed Type", 
        each not List.IsEmpty(List.RemoveMatchingItems(Record.FieldValues(_), {"", null}))),

//Clean the data
    #"Remove Leading/Trailing text" = Table.TransformColumns(#"Removed Blank Rows",
        {"Column1", each Text.Trim(_,{" ",".","a".."z","A".."Z"}), type text}),
    #"'o' to '0'"=Table.ReplaceValue(#"Remove Leading/Trailing text","o","0",Replacer.ReplaceText,{"Column1"}),
    #"Remove Spaces" =Table.ReplaceValue(#"'o' to '0'"," ","",Replacer.ReplaceText,{"Column1"}),

//Convert the number based on algorithm that
// if there are one or two digits after the `dot` or `comma` then that token = decimal token
    #"Add Converted" = Table.AddColumn(#"Remove Spaces", "Converted Number", each 
      let 
        #"Split Plus" = Text.Split([Column1],"+"),
        #"Split Dot" = List.Combine(List.Transform(#"Split Plus", each Text.Split(_,"."))),
        #"Split Comma" = List.Combine(List.Transform(#"Split Plus", each Text.Split(_,","))),

        #"Decimal" = if (Text.Length(#"Split Dot"{1}?) <= 2)??false then "."
            else if ((Text.Length(#"Split Comma"{1}?)??0) <= 2)??false then ","
            else null,
       
        #"Convert" = if #"Decimal" = "."
          then List.Transform(#"Split Plus", each Number.From(_, "en-US"))
          else List.Transform(#"Split Plus", each Number.FromText(_,"en-DE"))
      in 
        List.Sum(#"Convert"), type number)
in
    #"Add Converted"

See if the transform is what you expect

Original

Transformed