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Mar 17, 11 p.m. - Mar 21, 11 p.m.
Join the meetup series to build scalable AI solutions based on real-world use cases with fellow developers and experts.
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Note
For the language parameter, assign eng
or leave it empty to see the machine-assisted classification response (preview feature). This feature supports English only.
For profanity terms detection, use the ISO 639-3 code of the supported languages listed in this article, or leave it empty.
Language | Language detection | Profanity | OCR | Auto-correction |
---|---|---|---|---|
Afrikaans | ✔️ | |||
Albanian | ✔️ | |||
Amharic | ✔️ | |||
Arabic | ✔️ | ✔️ | ✔️ | |
Arabic (Romanized) | ✔️ | |||
Armenian | ✔️ | |||
Assamese | ✔️ | |||
Azerbaijani | ✔️ | |||
Bangla - Bangladesh | ✔️ | |||
Balinese | ✔️ | |||
Basque | ✔️ | |||
Belarusian | ✔️ | |||
Bengali | ✔️ | |||
Bengali - India | ✔️ | |||
Bosnian - Cyrillic | ✔️ | |||
Bosnian - Latin | ✔️ | |||
Buginese | ✔️ | |||
Buhid | ✔️ | |||
Bulgarian | ✔️ | |||
Breton (non-GeoPol) | ✔️ | |||
Carian | ✔️ | |||
Catalan | ✔️ | |||
Central Kurdish | ✔️ | |||
Cherokee | ✔️ | |||
Chinese (Simplified) | ✔️ | ✔️ | ✔️ | |
Chinese (Traditional) | ✔️ | ✔️ | ||
Chinese (Traditional) - Hong Kong SAR | ✔️ | |||
Chinese (Traditional) - Taiwan | ✔️ | |||
Church (Slavic) | ✔️ | |||
Coptic | ✔️ | |||
Croatian | ✔️ | |||
Czech | ✔️ | ✔️ | ✔️ | |
Danish | ✔️ | ✔️ | ✔️ | |
Dari | ✔️ | ✔️ | ||
Dhivehi | ✔️ | |||
Dutch | ✔️ | ✔️ | ✔️ | ✔️ |
English | ✔️ | ✔️ | ✔️ | |
English (Creole) | ✔️ | |||
Estonian | ✔️ | |||
Filipino | ✔️ | |||
Finnish | ✔️ | ✔️ | ✔️ | |
French | ✔️ | ✔️ | ✔️ | ✔️ |
Georgian | ✔️ | |||
German | ✔️ | ✔️ | ✔️ | |
Greek | ✔️ | ✔️ | ||
Greek (modern) | ✔️ | ✔️ | ||
Gujarati | ✔️ | |||
Haitian | ✔️ | |||
Hausa | ✔️ | |||
Hebrew | ✔️ | ✔️ | ||
Hindi | ✔️ | ✔️ | ||
Hmong | ✔️ | |||
Hungarian | ✔️ | ✔️ | ✔️ | |
Icelandic | ✔️ | |||
Igbo | ✔️ | |||
Indonesian | ✔️ | |||
Inuktitut | ✔️ | |||
Irish | ✔️ | |||
isiXhosa | ✔️ | |||
isiZulu | ✔️ | |||
Italian | ✔️ | ✔️ | ✔️ | ✔️ |
Japanese | ✔️ | ✔️ | ✔️ | |
Kannada | ✔️ | |||
Kazakh | ✔️ | |||
Khmer | ✔️ | |||
K'iche | ✔️ | |||
Kinyarwanda | ✔️ | |||
Kiswahili | ✔️ | |||
Konkani | ✔️ | |||
Korean | ✔️ | ✔️ | ✔️ | ✔️ |
Kurdish (Arabic) | ✔️ | |||
Kurdish (Latin) | ✔️ | |||
Kyrgyz | ✔️ | |||
Lao | ✔️ | |||
Latvian | ✔️ | |||
Lepcha | ✔️ | |||
Limbu | ✔️ | |||
Lithuanian | ✔️ | |||
Lu | ✔️ | |||
Luxembourgish | ✔️ | |||
Lycian | ✔️ | |||
Lydian | ✔️ | |||
Macedonian | ✔️ | |||
Malay | ✔️ | |||
Malayalam | ✔️ | |||
Maltese | ✔️ | |||
Maori | ✔️ | |||
Marathi | ✔️ | |||
Mongolian | ✔️ | |||
Mycenaean (Greek) | ✔️ | |||
Nepali | ✔️ | |||
Nko | ✔️ | |||
Norwegian | ✔️ | ✔️ | ||
Norwegian (Bokmal) | ✔️ | ✔️ | ||
Norwegian (Nynorsk) | ✔️ | ✔️ | ||
Odia | ✔️ | |||
Pashto | ✔️ | ✔️ | ||
Persian | ✔️ | ✔️ | ||
Polish | ✔️ | ✔️ | ✔️ | ✔️ |
Portuguese - Brazil | ✔️ | ✔️ | ✔️ | ✔️ |
Portuguese - Portugal | ✔️ | ✔️ | ✔️ | ✔️ |
Pulaar | ✔️ | |||
Punjabi | ✔️ | ✔️ | ||
Punjabi (Pakistan) | ✔️ | |||
Quechua (Peru) | ✔️ | |||
Rejang | ✔️ | |||
Romanian | ✔️ | ✔️ | ✔️ | |
Russian | ✔️ | ✔️ | ✔️ | ✔️ |
Santali | ✔️ | |||
Sasak | ✔️ | |||
Saurashtra | ✔️ | |||
Serbian (Cyrillic) | ✔️ | ✔️ | ✔️ | |
Serbian (Cyrillic, Bosnia and Herzegovina) | ✔️ | |||
Serbian (Latin) | ✔️ | ✔️ | ✔️ | |
Sesotho | ✔️ | |||
Sesotho sa Leboa | ✔️ | |||
Setswana | ✔️ | |||
Sindhi | ✔️ | |||
Sinhala | ✔️ | ✔️ | ||
Slovak | ✔️ | ✔️ | ✔️ | |
Slovenian | ✔️ | ✔️ | ||
Spanish | ✔️ | ✔️ | ✔️ | ✔️ |
Swedish | ✔️ | ✔️ | ✔️ | |
Sylheti | ✔️ | |||
Syriac | ✔️ | |||
Tagbanwa | ✔️ | |||
Tai (Nua) | ✔️ | |||
Tajik | ✔️ | |||
Tamashek | ✔️ | |||
Tamil | ✔️ | |||
Tatar | ✔️ | |||
Telugu | ✔️ | |||
Thai | ✔️ | |||
Tigrinya | ✔️ | |||
Turkish | ✔️ | ✔️ | ✔️ | ✔️ |
Turkmen | ✔️ | |||
Ugaritic | ✔️ | |||
Ukrainian | ✔️ | |||
Urdu | ✔️ | |||
Uyghur | ✔️ | |||
Uzbek (Cyrillic) | ✔️ | ✔️ | ||
Uzbek (Latin) | ✔️ | ✔️ | ||
Valencian | ✔️ | |||
Vai | ✔️ | |||
Vietnamese | ✔️ | |||
Wolof | ✔️ | |||
Yi | ✔️ | |||
Yoruba | ✔️ | |||
Zhuang, Chuang | ✔️ |
Events
Mar 17, 11 p.m. - Mar 21, 11 p.m.
Join the meetup series to build scalable AI solutions based on real-world use cases with fellow developers and experts.
Register nowTraining
Module
Enrich your data with Azure AI Language - Training
Azure AI Language gives you the power of Natural Language Processing (NLP) to automatically understand and analyze text. You can use that power to enhance your search solutions.