You can call the Predict API with the "Text Moderation" model. Simply pass in a text input with a publicly accessible URL or by directly sending raw text, .csv or .tsv files.
Learn more about our Predict API.
API Guide
The Predict API returns a list of concepts (Toxic, Insult, Obscene, Indentity_hate, Severe_toxic, Threat) with their corresponding probability scores on the likelihood that these concepts are contained within the text.
The Text moderation Model supports text moderation in 54 languages:
Arabic, Bulgarian, Catalan - Valencian, Czech, Danish, German, Greek - Modern, English, Spanish - Castilian, Estonian, Persian, Finnish, French, French - Canadian, Galician, Gujarati, Hebrew, Hindi, Croatian, Hungarian, Armenian, Indonesian, Italian, Japanese, Georgian, Korean, Kurdish, Lithuanian, Latvian, Macedonian, Mongolian, Marathi, Malay, Burmese, Norwegian, Bokmål, Dutch, Flemish, Polish, Portuguese, Portuguese - Brazilian, Romanian, Moldavian, Moldovan, Russian, Slovak, Slovenian, Albanian, Serbian, Swedish, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Chinese - Mainland, Chinese - Taiwan
Gather valuable business insights from images, text and data using machine learning, natural language processing and computer vision.
Assign tags or categories to analyze text based on content. Build models for topic analysis, sentiment analysis, smart reply and more.
Identify unwanted content such as gore, drugs, explicit nudity or suggestive nudity.
Analyze images and return probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space.
Recognize textures and patterns in a two-dimensional image e.g., feathers, woodgrain, petrified wood, glacial ice and overarching descriptive concepts (veined, metallic).
Identify different levels of nudity in your visual data. Ideal for moderating and filtering offensive content from your platform.
Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space computed by our General model.
Explore our pre-built, ready-to-use image recognition models to suit your specific needs.
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