Getting the list of misspelled words

Aspose.OCR for Python via .NET can automatically generate a list of misspelled words found in an image and their suggested replacements in descending order of suitability. This list is fetched using get_spell_check_error_list() method of RecognitionResult object.

This functionality supports the following languages:

Value	Language
SpellCheckLanguage.CZE	Czech
SpellCheckLanguage.DAN	Danish
SpellCheckLanguage.DEU	German
SpellCheckLanguage.DUM	Dutch
SpellCheckLanguage.ENG	English
SpellCheckLanguage.EST	Estonian
SpellCheckLanguage.FIN	Finnish
SpellCheckLanguage.FRA	French
SpellCheckLanguage.ITA	Italian
SpellCheckLanguage.LAV	Latvian
SpellCheckLanguage.LIT	Lithuanian
SpellCheckLanguage.POL	Polish
SpellCheckLanguage.POR	Portuguese
SpellCheckLanguage.RUM	Romanian
SpellCheckLanguage.SLK	Slovak
SpellCheckLanguage.SLV	Slovene
SpellCheckLanguage.SPA	Spanish
SpellCheckLanguage.SWE	Swedish

Found errors and suggested substitutions are provided as a list of SpellCheckError objects. The substitutions are ordered by Levenshtein distance from the misspelled word, so the most likely replacements come first.

# Instantiate Aspose.OCR API
api = AsposeOcr()
# Add image to the recognition batch
input = OcrInput(InputType.SINGLE_IMAGE)
input.add("source.png")
# Recognize the image
result = api.recognize(input)
# Output misspelled words
errors = results[0].get_spell_check_error_list(SpellCheckLanguage.ENG)
for error in errors:
    print("Found misspelled word: " + error.word)
    if len(error.suggested_words)>0:
        print("Most likely replacement: " + error.suggested_words[0].word)