HP Imaging Cloud Photo Suite API Search Results & Alternatives
Red Buffer Imaging API provides a simple solution to resize your images in no time by simply providing parameters of url to picture, new width, new height to the API end point and telling it where to save the new photo with your desired name. With a simple call to this API, the hassle to resize image in your code is made simpler and quicker. An example to resize your photo using curl is : curl --data "url=http://dopa.mn/images/gabe-zichermann-2011-400x400-02.jpg&width=100&height=100" -H 'X-Mashape-Key: HauGMXlww8mshshEBY4eewckDY3vp14XXXXjsXXzrpqdYDdJkm' -X GET https://redbuffer-imaging-v1.p.mashape.com/imaging >resized_photo.jpg
Ribbet is an online photo editor with free cloud storage, complete editing history, thousands of effects, filters, hand-picked shapes, designer fonts and borders. Ribbet also has bookmarking to allow favorite effects to be stored. With the Ribbet API, developers can integrate the full functionality of Ribbet into their application or website.
ColorTag is a powerful API for color detection. Taking an image file (or URL) as input ColorTag produces a list of text labels and hex RGB values that can be then used as tags for a certain image or item. Check out visual demo here: http://apicloud.me/apis/colortag/demo/. The API can sort tags by relevance (detecting colors of objects on the image, e.g. a dress, a car, etc.) or simply by weight in the image. First mode is perfect for e-commerce applications, allowing to automatically tag items with colors by simply providing a photo or a thumbnail and build a color tag cloud, so users are able to search items by color (e.g. red). Weight sorting mode can be useful for photos, wallpapers or other images without well-defined objects on them to analyze the palette in general. Text color labels can be assigned with different precision (just basic colors, W3C-compatible colors, precise colors, etc.).
Related APIs in Category: Photos
The Animetrics Face Recognition API can be used to find human faces, detect feature points, correct for off angle photographs, and ultimately perform facial recognition. Information on facial features, including ears, nose, eyebrows, lips, chin are returned as coordinates on the image. The Animetrics Face Recognition API will also detect and return the gender and orientation, or "pose" of faces along 3 axes. A special capability called "SetPose" is also available which allows the face to be re-rendered at a desired pose that is different than the captured pose. I.e. as if the photo was taken with respect to any desired angle relative to the camera. This is typically used when the facial photo is captured off angle and a zero-corrected fully frontal image (0 degrees pitch, yaw, and roll) is required. Detected facial features may be corrected or modified to improve the final results of subsequent steps. For example, an eye in the picture may be hidden or obscured; requesting just eye feature points, manually correcting their locations, and feeding this data into a more detailed request will help improve the accuracy of additional feature point and pose detection.
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