Image Filters

Per 1000 requests	€1.00
Per installation	€4.00
One-time	€90.00
Per month	€3.00

Pricing info

Image filtering is the secret to making any image look just right. Enhance images quickly and easily with this API for applying filters and other editing tools. This is a great app for users like online retailers looking to process images submitted by users, bloggers, influencers and much more. All the filters and editing tools you need are right here – in one great app.

Black and white: Converts color images to binary black and white images
Blur: Softens an image as if it was out of focus
Color distance: Transforms colors based on their distance to a user-chosen reference color
Crop center: Takes a fixed-size part of an image as its center
Crop: Extracts an arbitrary part of an image
Edges: Detects prominent edges in images to make it look like a line drawing
Grey: Converts a color image to greys
Hue map: Maps colors in a colored gradient based on intensity
Invert: Turns an image into inverse colors
Mirror: Flips an image either horizontally or vertically
Rotate: Rotates an image
Sharpen: Detects edges and makes them more prominent so that the image looks sharper
Single color: Converts an image to grey levels while allowing use of a hue that makes the output appear colored
Stretch: Resizes an image to arbitrary user-specified dimensions

blackAndWhite()

Black and white

Binarizes an image according to the given threshold.

The pixels darker than the threshold become black and the pixels brighter than the threshold become white. If the threshold is negative, the image is binarized automatically with a threshold which best separates dark and bright pixels.

Inputs

image
– Input image in rgb, rgba or gray8 format.
threshold
– Threshold which separates dark and bright pixels. A negative value means automatic thresholding.

Outputs

image – Binarized black and white 8-bit gray-level image in gray8 format. The size of the output image is the same as the size of the input image. The intensity of black is zero and the intensity of white is 255.

blur()

Blur

Blurs the image using a Gaussian filter.

Inputs

image
– Input image in rgb, rgba or gray8 format.
filterSize
– Size of the Gaussian filter. The bigger the size, the more the image is blurred. For instance, 5 gives light blurring and 99 (which is the maximum value) gives heavy blurring.

Outputs

image – Blurred image. The size and format of the output image are the same as those of the input image.

colorDistance()

Color distance

Returns a grayscale image which is constructed by measuring the difference between the color of each pixel and the reference color.

Inputs

image
– Input image in rgb, rgba or gray8 format.
referenceColor
– The color to measure distance from. The better a pixel in the input image matches with the reference color, the brighter the corresponding pixel in the output image will be. The color is given in "#rrggbb" hexadecimal format. For example, "#ff0000" means red, "#00ff00" means green and "#0000ff" means blue.

Outputs

image – A grayscale image in gray8 format. The image represents color distance map to the specified reference color.

crop()

Crop

Crops an area from the input image.

The area is defined by the pixel coordinates of the top-left corner and width and height of the cropped image.

Inputs

image
– Input image in rgb, rgba or gray8 format.
x
– X-coordinate of the top-left corner of the sub-image.
y
– Y-coordinate of the top-left corner of the sub-image.
width
– Width of the sub-image in pixels.
height
– Height of the sub-image in pixels.

Outputs

image – Output image. The format of the output image is the same as that of the input image. If a part (or even all) of the sub-image does not overlap with the input image, the non-overlapping area will be black. If width or height is negative, the output image will be empty. Negative x and y values are allowed.

cropCenter()

Crop center

Crops an area from the center of the input image.

Inputs

image
– Input image in rgb, rgba or gray8 format.
width
– Width of the crop area in pixels.
height
– Height of the crop area in pixels.

Outputs

image – Output image. The format of the output image is the same as that of the input image. If width or height are larger than the size of the input image, the area outside the input image will be black. If width or height is negative, the output image will be empty.

edges()

Edges

Produces a black-and-white (binary) image where the edges of the objects in the input image are shown.

Inputs

image
– Input image in rgb, rgba or gray8 format.
smoothness
– Determines how much blurring is applied to the input image prior to finding the edges. If smoothness = 0, there is no smoothing and plenty of edges will be drawn. If smoothness = 10 (which is the maximum value), there will be few edges and the edges will appear to be rounded.

Outputs

image – Binary image in gray8 format. The edges are drawn with white color (255) on black background (0). The size of the output image is the same as the size of the input image.

gray()

Gray

Converts the input image to grayscale.

Inputs

image – Input image in rgb, rgba or gray8 format.

Outputs

image – Grayscale image in gray8 format. The size of the output image is the same as the size of the input image.

huemap()

Huemap

Sets the chromaticity of a pixel in the output image according to the brightness of the corresponding pixel in the input image.

The smallest possible intensity is mapped to lowIntensityHue and the largest possible intensity to highIntensityHue. Chromacity values for other intensities are determined with linear interpolation. The chromacity values are given in degrees which describe rotation on circular color plane. For full color circle, set highIntensityHue = 0 and lowIntensityHue = 360.

Inputs

image
– Input image in rgb, rgba or gray8 format.
lowIntensityHue
– Chromaticity value to which darkest pixels are mapped. Some examples of the mapping between degrees of rotation and colors are:
Rotation Color
0 deg Red
60 deg Yellow
120 deg Green
180 deg Cyan
240 deg Blue
300 deg Magenta
360 deg Red

Rotation	Color
0 deg	Red
60 deg	Yellow
120 deg	Green
180 deg	Cyan
240 deg	Blue
300 deg	Magenta
360 deg	Red

highIntensityHue – - Chromaticity value to which highest intensity pixels are mapped.

Outputs

image – Output image in rgba (if input has alpha channel) or rgb (otherwise) format. The size of the output image is the same as the size of the input image.

invert()

Invert

Inverts the colors of the input image.

Inputs

image – Input image in rgb, rgba or gray8 format.

Outputs

image – Inverted image. If the input is a color image, each color channel will be inverted individually. The size and format of the output image are the same as those of the input image.

mirror()

Mirror

Mirrors an input image about its vertical axis.

Inputs

image – Input image in rgb, rgba or gray8 format.

Outputs

image – Mirrored image. The format and size of the output image are the same as those of the input image.

rotate()

Rotate

Rotates an input image about its center.

Inputs

image
– Input image in rgb, rgba or gray8 format.
angle
– Rotation angle in degrees. Positive angle means clockwise rotation. Negative angle means counter-clockwise rotation.

Outputs

image – Rotated image The format of the output image is the same as that of the input image. The size is large enough to contain the rotated image without clipping.

sharpen()

Sharpen

Sharpens the edges of the objects in the input image.

For instance, sharpening can make slightly blurred text easier to read.

Inputs

image
– Input image in rgb, rgba or gray8 format.
weight
– Weight of the sharpening mask. The bigger the weight, the more sharpening is applied. Zero means no sharpening. Typically values between 1 and 10 give the best results.

Outputs

image – Sharpened image. The size and format of the output image are the same as those of the input image.

singleColor()

Single color

Produces a single-color image where each pixel has the same hue but different intensity, like in a grayscale image.

Inputs

image
– Input image in rgb, rgba or gray8 format.
hue
– Chromaticity value in hue degrees. Some examples of the mapping between degrees of rotation and colors are:
Rotation Color
0 deg Red
60 deg Yellow
120 deg Green
180 deg Cyan
240 deg Blue
300 deg Magenta
360 deg Red

Rotation	Color
0 deg	Red
60 deg	Yellow
120 deg	Green
180 deg	Cyan
240 deg	Blue
300 deg	Magenta
360 deg	Red

saturation – - The target saturation of the result color. The value range is 0-1. 0.0 means grayscale, 1.0 means fully saturated.

Outputs

image – Output image in rgba (if input has alpha channel) or rgb (otherwise) format. The size of the output image is the same as the size of the input image.

stretch()

Stretch

Stretch (or shrink) the input image into the given size.

Inputs

image
– Input image in rgb, rgba or gray8 format.
width
– Width of the output image in pixels.
height
– Height of the output image in pixels.

Outputs

image – Output image. The format of the output image is the same as that of the input image. The size is determined by width and height.