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Model ID: f1b1005c8feaa8d3f34d35f224092915
Model Name: EasyOCR (English)
Model Type: OCR
Model Type ID: optical-character-recognizer
Owner: Clarifai
English (Latin)
Spanish (Latin)
French (Latin)
German (Latin)
Italian (Latin)
Portuguese (Latin)
Indonesian (Latin)
Arabic (Arabic)
Farsi (Arabic)
Urdu (Arabic)
Bengali (Bengali)
Russian (Cyrillic)
Hindi (Devanagari)
Thai (Thai)
Mandarin (Chinese Simplified)
Cantonese (Chinese Traditional)
Japanese (Japanese)
Korean (Korean)
The Optical Character Recognition (OCR) – Scene Model is an "optical-character-recognizer" which means that it will identify text in an image and then translate the image of that text into machine-encoded text.
Learn more about incorporating the OCR Model into your technology stack in our API Guide.
Gather valuable business insights from images, text, and video 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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