Integration & MCP for Google Cloud Vision
Integrate and automate your Google Cloud Vision workflows across 2,399 tools. Take full control—use your favorite LLM to orchestrate Google Cloud Vision and make your data and tools truly work for you, not the other way around.
Business Intelligence
Google Cloud Vision and Boost.space optimize image recognition workflows.
Google Cloud Vision enables businesses to analyze and extract insights from images and videos using advanced AI. With capabilities like image recognition, object detection, and OCR, Google Cloud Vision can automate processes like tagging, content moderation, and data extraction. It enhances customer experiences by offering real-time image analysis, helping businesses make informed decisions faster. From retail to security, Google Cloud Vision allows companies to leverage visual data for more accurate insights and streamlined operations.
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Google Cloud Vision Modules (9)
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Detect potentially unsafe or undesirable content within an image
Detects potentially unsafe or undesirable content within an image.
Run text detection (ocr) within an image
Runs text detection / optical character recognition (OCR) to extract text from an image. If the image is a document, check the flag to optimize the detection for dense text and documents.
Run label detection within an image
Detects and extracts information about entities within an image, across a broad group of categories.
Run handwriting detection within an image
Runs detection to extract handwriting from an image.
Compute image dominant colors and iterate the result array
Computes and iterates an array of dominant colors wirthin an image.
Run text detection (ocr) within a file and iterate the result array
Runs text detection / optical character recognition (OCR) to extract text from a PDF/TIFF file. One page in the file produces one record in the result array.
Run face detection within an image and iterate the result array
Detects and extracts multiple faces within an image along with the associated key facial attributes such as emotional state or wearing headwear. One face in the image produces one record in the result array.
Run landmark detection within an image and iterate the results
Detection identifies landmarks in an image. One landmark in the image produces one record in the result array.
Run localizer for object detection within an image and iterate the result array
Object localization identifies multiple objects in an image and provides info for each object in the image. One object in the image produces one record in the result array.
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