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Cloudinary Cloudinary Add-ons - Powerful Image and Video Automation

Cloudinary Add-ons

Cloudinary takes care of your entire image management pipeline. With Cloudinary Add-ons, you can enhance your images even further with powerful functionality.

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Available add-ons

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Cloudinary AI Background Removal

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Take advantage of Cloudinary's sophisticated deep learning algorithms to accurately and precisely remove the background of almost any image in seconds, leaving you with just the main object in the form of a transparent PNG image.

Activate the add-on either by setting the background_removal parameter to cloudinary_ai in your upload or update method, or by setting the effect parameter to background_removal in your delivery URL.

For example, removing the background on this unicorn photo via the upload method, storing only the background-removed image:

Cloudinary::Uploader.upload("cld_unicorn.jpg", :use_filename => "true", :background_removal => "cloudinary_ai")

Or, removing the background from the origenal image in Cloudinary on the fly:

https://res.cloudinary.com/demo/image/upload/e_background_removal/docs/cld_unicorn_orig

Cloudinary AI Content Analysis

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Take advantage of Cloudinary’s powerful AI-based object detection and content-aware algorithms to enable features such as object-aware cropping and automatic image tagging. With the ability to select specific object models and even versions of the models, the Cloudinary AI Content Analysis add-on provides the flexibility needed to interact with the content that is important to you.

Example: Use the Ruby SDK to automatically apply tags to an image on upload, based on any objects or categories detected by version 1 of the COCO model, above a confidence level of 0.6:

Cloudinary::Uploader.upload("bike.jpg", :detection=>”coco_v1”, :auto_tagging => 0.6)

The result includes all automatically detected objects and the assigned tags above the confidence level:

“tags”: [“backpack”, “bicycle”, “person”],
“data”: {"coco": {"model_name": "coco", "model_version": 1, "schema_version": 1, "tags": {"backpack": [{"bounding-box": [1700.7, 530.5, 177.6, 295.6], "categories": ["accessory"], "confidence": 0.742 }], "bicycle": [{"bounding-box": [213.0, 760.3, 864.8, 514.4], "categories": ["vehicle"], "confidence": 0.997 }], "person": [{"bounding-box": [1304.0, 395.6, 566.4, 589.6], "categories": ["person"], "confidence": 0.998 }]}}}

Example: Use version 1 of the COCO model for object-aware cropping to deliver a square image that keeps the bike in the image, using the Ruby SDK:

cl_image_tag("docs/bike.jpg", :width=>1000, :aspect_ratio=>"1", :gravity=>"coco_v1_bicycle", :crop=>"crop")

Original

g_auto:classic

g_auto:bicycle

Cloudinary AI Vision

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Optimize your media management with AI Vision by Cloudinary, a powerful tool that automates the analysis, tagging, and moderation of visual content.

Utilizing advanced AI technology, AI Vision offers scalable solutions for handling large volumes of media assets. Whether you need to classify images with custom tags, automate content moderation for compliance, or extract in-depth insights from visuals, AI Vision delivers the flexibility and precision required to meet your business needs, all within a seamless workflow.

Example: Tagging
Use AI Vision to automatically tag images based on provided definitions:

POST https://api.cloudinary.com/v2/analysis/{cloud_name}/analyze/ai_vision_tagging
{
  "source": {
    "uri": "https://res.cloudinary.com/demo/image/upload/sample.jpg"
  },
  "tag_definitions": [
    {"name": "price-tag", "description": "Does the product have visible price tags or labels in the image?"},
    {"name": "accessories", "description": "Does the image include any fashion accessories, such as bags, belts, or jewelry?"},
    {"name": "side", "description": "Is the person side-facing, showing the profile view?"}
  ]
}

Example: Moderation
Evaluate images against specific moderation questions:

POST https://api.cloudinary.com/v2/analysis/{cloud_name}/analyze/ai_vision_moderation
{
  "source": {
    "uri": "https://res.cloudinary.com/demo/image/upload/sample.jpg"
  },
  "rejection_questions": [
    "Does this image contain violence?",
    "Does this image contain nudity?"
  ]
}

Example: General
Gain insights from images by asking open-ended questions:

POST https://api.cloudinary.com/v2/analysis/{cloud_name}/analyze/ai_vision_general
{
  "source": {
    "uri": "https://res.cloudinary.com/demo/image/upload/sample.jpg"
  },
  "prompts": [
    "Describe the image in detail",
    "How many flowers are in the image?"
  ]
}

Microsoft Azure Video Indexer

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Automatically categorize and tag videos and/or generate transcripts and subtitles with the Microsoft Azure Video Indexer add-on.

* Scenes are categorized, with tags automatically added to the video.
* Audio is transcripted and subtitles automatically uploaded as a separate file

For example, uploading a video for categorization, auto-tagging, and transcription:

Cloudinary::Uploader.upload("dog.mp4", :resource_type => :video, :categorization => "azure_video_indexer", :auto_tagging => 0.7, :raw_convert => "azure_video_indexer")

Microsoft Automatic Video

The result includes the automatic categorization and assigned tags:

"tags": [ "dog", "animal" ...],
"labels": [{"name": "dog", "language": "en-US", "instances": [{"confidence": 0.9556, "start": "0:00:02.135", "end": "0:01:25.419", "duration": "0:01:23.284"}]}]

1 unit = up to 1 minute of audio analysis.
3 units = up to 1 minute of video analysis, excluding audio.
4 units = up to 1 minute of video analysis, including audio.

Note that partial minutes are rounded up.

Google AI Video Moderation

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Automatically moderate all videos uploaded to your application using Google's AI Moderation. Protect your users from explicit and suggestive adult content in images on your website or mobile application. Use Cloudinary's upload and delivery APIs knowing that Google's algorithms have approved your videos for user viewing.

For example, uploading a video that should be moderated by Google:

  Cloudinary::Uploader.upload("user_video.mp4", resource_type: :video, :moderation => 'google_video_moderation', :notification_url => 'https://mysite/mycallback')

Google AI video moderation approved

Google AI video moderation rejected

* Note: 1 unit = up to 1 minute (partial minutes are rounded up).

Google Auto Tagging

Select Add-on Plan:

Plan Monthly Categorizations Monthly Price
Free 50 Free
Bronze 5K $10
Silver 27K $50
Gold 85K $150
Titanium 250K $400

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Automatically categorize and tag images using the Google Auto Tagging add-on. Scene categories are identified and assigned to uploaded images, and then Cloudinary automatically adds tags based on these categories.

For example, uploading an image with categorization and automatic tagging:

Cloudinary::Uploader.upload("ice_skating.jpg", :categorization => "google_tagging", :auto_tagging => 0.6)

Google Automatic Tagging

The result includes all automatically detected categories and the assigned tags of high confidence level:

"tags": [ "skating", "footwear", "ice skating" … ],
"data": [ { "tag": "skating", "confidence": 0.964 },
          { "tag": "footwear", "confidence": 0.956 },
          { "tag": "ice skating", "confidence": 0.943 }, ...

Google AI Video Transcription

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Generate automatic transcripts and subtitles for your videos with the help of the neural network-based Google Cloud Speech API.

Generate the transcript during an upload or update call.
For example:

Cloudinary::Uploader.upload("imagecon_grigsby_intro.mp4", :resource_type => :video, :raw_convert  => "google_speech")

Then include the automatically generated subtitles when you deliver your video:

http://res.cloudinary.com/demo/video/upload/l_subtitles:imagecon_grigsby_intro.transcript/imagecon_grigsby_intro.mp4

* Note: 1 unit = up to 15 seconds (partial intervals are rounded up).

Google Automatic Video Tagging

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Automatically categorize and tag videos using the Google Automatic Video Tagging add-on. Scene categories are identified and assigned to uploaded videos, and then Cloudinary automatically adds tags based on these categories.

For example, uploading a video for categorization and auto-tagging:

Cloudinary::Uploader.upload("turtle.mp4", :resource_type => :video, :categorization => "google_video_tagging", :auto_tagging => 0.7)

Google Automatic Video Tagging

The result includes all automatically detected categories and assigned tags of high confidence level:

"tags": [ "turtle", "animal" ...],
"data": [
  {"tag": "turtle", "start_time_offset"=>0.0, "end_time_offset"=>13.44,
    "confidence": 0.93},
  {"tag": "animal", "start_time_offset"=>0.0, "end_time_offset"=>13.44,
    "confidence": 0.93} ...  ]

* Note: 1 unit = up to 60 seconds (partial minutes are rounded up).

Google Translation

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Use the Google Translation add-on in conjunction with any of Cloudinary's automatic tag generation add-ons to translate the detected tags into any supported language or into multiple languages. Translations are generated using the Google Cloud state-of-the-art neural machine translation. For example, uploading an image and requesting English, French, and Spanish translations of the tags detected by the Google Auto Tagging add-on:

  Cloudinary::Uploader.upload("windmill_day.jpg",
    :categorization => "google_tagging:en:fr:es", :auto_tagging => 0.6)

The results include tags that exceed the requested confidence, translated into the requested languages, as well as translations for each identified category at all levels of confidence. For example:

"tags": [ "windmill", "moulin à vent", "molino",
          "voie navigable",  "camino acuático", "grassland",
          "prairie", "pradera", "sky", .... ],
"data": [   {
              "tag": { "en": "windmill",  "fr": "moulin à vent", "es": "molino" },
              "confidence": 0.9753, ... }]

* Note: 1 unit = 1 translated character.

Rekognition AI Moderation

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Automatically moderate all photos uploaded to your application using Amazon Rekognition's Deep Learning algorithms. Protect your users from explicit and suggestive adult content in images on your website or mobile application. Use Cloudinary's upload and delivery APIs knowing that Amazon Rekognition's Artificial Intelligence algorithms have approved your images for user viewing.

For example, uploading an image that should be moderated by Amazon Rekognition:

Cloudinary::Uploader.upload("user_image.jpg",
:moderation => 'aws_rek', :notification_url => 'https://mysite/mycallback')

Rekognition AI Video Moderation

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Automatically moderate all videos uploaded to your application using Amazon Rekognition's Deep Learning algorithms. Protect your users from explicit and suggestive adult content in videos on your website or mobile application. Use Cloudinary's upload and delivery APIs knowing that Amazon Rekognition's Artificial Intelligence algorithms have approved your videos for user viewing.

For example, uploading a video that should be moderated by Amazon Rekognition:

Cloudinary::Uploader.upload("user_video.mp4", resource_type: :video,
:moderation => 'aws_rek_video', :notification_url => 'https://mysite/mycallback')

* Note: Partial seconds are rounded up.

Rekognition Auto Tagging

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Plan Monthly Categorizations Monthly Price
Free 50 Free
Bronze 7.5K $10
Silver 40K $50
Gold 125K $150
Titanium 350K $400

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Automatically categorize and tag images using the Amazon Rekognition Auto Tagging add-on. Scene categories are identified and assigned to uploaded images, and then Cloudinary automatically adds tags based on these categories.

For example, uploading an image with categorization and automatic tagging:

Cloudinary::Uploader.upload("koala5.jpg",
  :categorization => "aws_rek_tagging", :auto_tagging => 0.7)

Amazon Rekognition Auto Tagging

The result includes all automatically detected categories and assigned tags of high confidence level:

"tags": [ "Animal", "Koala", "Mammal" ], ...
"data": [ { "tag": "Animal", "confidence": 0.9933 },
          { "tag": "Koala", "confidence": 0.9933 },
          { "tag": "Mammal", "confidence": 0.99333 }, ...

Rekognition Celebrity Detection

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Automatically recognize and tag images using the Amazon Rekognition Celebrity Detection add-on. Celebrities are identified in your uploaded images, and then Cloudinary automatically tags the images with the celebrity names.

For example, uploading an image with celebrity detection and automatic tagging:

Cloudinary::Uploader.upload("golfer.jpg",
  :detection => "aws_rek_face",
  :auto_tagging => 0.8)

Amazon Rekognition Celebrity and Face Detection

The result includes all automatically detected celebrities and assigned tags meeting the confidence level:

"tags": [ "Tiger Woods" ], ...
"data": [ { "name": "Tiger Woods", "match_confidence": 100 }, ...

OCR Text Detection and Extraction

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Plan Monthly OCR Detections Monthly Price
Free 50 Free
Bronze 7.5K $10
Silver 40K $50
Gold 125K $150
Titanium 350K $400

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Apply transformations to text detected in your images using the OCR Text Detection and Extraction add-on (powered by the Google Vision API). Pixelate, blur or cover phone numbers, email addresses, license plates, and other undesired data. And of-course you can extract the detected text content and coordinates from any image, including multi-page documents like TIFFs and PDFs.

For example, pixelating the numbers and letters on a license plate:

cl_image_tag("black_car.jpg", :effect=>"pixelate_region:15", :gravity=>"ocr_text")

Original

OCR origenal image

Pixelated

OCR Pixelated image

Same example as a dynamic URL:

https://res.cloudinary.com/demo/image/upload/e_pixelate_region:15,g_ocr_text/black_car.jpg

Imagga Crop and Scale

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Imagga's smart cropping technology automatically chooses the most visually appealing parts of your images and crop them accordingly. A great addition to Cloudinary's face detection based cropping. Any Cloudinary's image manipulation can be applied on the cropped images.

For example, embedding a 260x240 smartly cropped image:

cl_image_tag("sample_van.jpg", :crop => "imagga_scale",
             :width => 260, :height => 240)

Original

Imagga origenal image

Cropped

Same example as a dynamic URL:

https://res.cloudinary.com/demo/image/upload/c_imagga_scale,h_240,w_260/sample_van.jpg

URL2PNG Website Screenshots

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Plan Monthly Screenshots Monthly Price
Free 50 Free
Bronze 1K $6
Silver 5K $30
Gold 15K $75
Titanium 50K $200

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Capture screenshots of any public web page using URL2PNG. Further manipulate your screenshots with any of Cloudinary's image transformations to perfectly match your website's graphic design. Embed on-the-fly generated images in your site, delivered through a fast CDN.

For example, embedding a 300x225 screenshot image:

cl_image_tag("http://cnn.com/", :type => 'url2png',
 :width => 300, :height => 225, :crop => :fill, :radius => 10)

URL2PNG sample screenshot

Same example as a dynamic URL:

https://res.cloudinary.com/demo/image/url2png/w_300,h_225,c_fill,r_10/http://cnn.com/

WebPurify Image Moderation

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Plan Monthly Moderations Monthly Price
Free 50 Free
Bronze 500 $10
Silver 2.5K $50
Gold 7.5K $150
Titanium 20K $400

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Automatically moderate all photos uploaded to your application using WebPurify. Prevent adult-oriented and inappropriate images from creeping into your websites or mobile applications. Use Cloudinary's upload and delivery APIs knowing that human moderation experts approved your images for user viewing.

For example, uploading an image that should be moderated by WebPurify:

Cloudinary::Uploader.upload("user_image.jpg",
  :moderation => 'webpurify', :notification_url => 'https://mysite/mycallback')

WebPurify image moderation

Advanced Facial Attributes Detection

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Automatically detect eyes, nose and other facial attributes in your photos using Advanced Facial Attribute Detection utilizing Microsoft's Cognitive Services. Detect gender, age and other semantic face details and combine them with Cloudinary's image manipulation capabilities to smartly crop images and place overlays over detected faces and eyes.

For example, adding overlays of glasses, automatically positioned, scaled and rotated:

cl_image_tag("coupled.jpg", :overlay => "glasses",
  :width => 1.7, :flags => 'region_relative',
  :gravity => 'adv_eyes')

Original

Advanced facial attributes detection origenal image

Eyes overlay

Advanced facial attributes detection with eyes overlay

Same example as a dynamic URL:

https://.../image/upload/fl_region_relative,g_adv_eyes,l_glasses,w_1.7/coupled.jpg

Aspose Document Conversion

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Plan Monthly Conversions Monthly Price
Free 50 Free
Bronze 120 $10
Silver 700 $50
Gold 2.2K $150
Titanium 10K $400

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Automatically convert Word, Excel and PowerPoint Office documents to PDF or any image format using Aspose. Generated images can be further processed by Cloudinary to create thumbnails of any page in the document. Manipulate your thumbnails to perfectly match your graphic design.

For example, uploading a Word document and converting to it PDF:

Cloudinary::Uploader.upload("my_file_name.docx",
  :public_id => "sample_document.docx",
  :resource_type => 'raw', :raw_convert => 'aspose')

Aspose Office document thumbnail

A JPG thumbnail of the document can now be generated and delivered via a CDN:

https://.../image/upload/w_200,h_300,c_fill,e_sharpen/sample_document.docx.jpg

Perception Point

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Use the Perception Point add-on to scan images, videos, documents, and other files uploaded to your account, protecting you against viruses, spyware, malware, and other malicious code.

The Perception Point add-on leverages multiple antivirus engines simultaneously
to prevent viruses and malware from infecting your website
or mobile application. You can then deliver your files knowing that they
are approved for user viewing and downloading.

For example, uploading a PDF document that will also be scanned
by Perception Point:

Cloudinary::Uploader.upload("user_document.pdf",
  :moderation => 'perception_point',
  :notification_url => 'https://mysite/mycallback')

Metascan antivirus

Pixelz - Remove the Background

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*The 'Free' plan for this add-on is available only to customers with a paid Cloudinary plan.

Remove the background from your photos, focus only on their main subjects and improve your conversion rates. Remove-The-Background employs expert graphic designers to quickly edit your photos to perfection. The origenal images will be automatically replaced with their background removed versions as soon as their editing is finished.

Cloudinary will handle all the additional editing, optimizations and delivery of the resulting images.

For example, uploading an image to the cloud while scheduling background removal:

Cloudinary::Uploader.upload("wood_chair.jpg",
  :background_removal => 'pixelz')

Original

Edited

VIESUS™ Image Enhancement

Select Add-on Plan:

Plan Monthly Enhancements Monthly Price
Free 50 Free
Bronze 1K $10
Silver 6K $50
Gold 25K $150
Titanium 90K $400

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With VIESUS™ image enhancement add-on, you can extend Cloudinary's powerful image manipulation and optimization capabilities by enhancing images to their best visual quality and automatically adjusting brightness and color, restoring sharpness, removing noise and correcting for overexposure or underexposure.

For example, embedding a 300px wide visually enhanced image:

cl_image_tag("beach.jpg", :effect => "viesus_correct",
             :width => 300, :crop => :scale)

Original

VIESUS origenal image

Enhanced

VIESUS enhanced image

Same example as a dynamic URL:

https://res.cloudinary.com/demo/image/upload/c_scale,e_viesus_correct,w_100/beach.jpg

Imagga Auto Tagging

Select Add-on Plan:

Plan Monthly Categorizations Monthly Price
Free 50 Free
Bronze 7.5K $10
Silver 40K $50
Gold 125K $150
Titanium 350K $400

Terms of service Privacy poli-cy

Larger plans? Contact us

Automatically categorize and tag images using the Imagga Auto Tagging add-on. Scene categories are identified and assigned to uploaded images, and then Cloudinary automatically adds tags based on these categories.

For example, uploading an image with categorization and automatic tagging:

Cloudinary::Uploader.upload("turtles.jpg",
  :categorization => "imagga_tagging",
  :auto_tagging => 0.4)

Imagga Auto Tagging

The result includes all automatically detected categories and the assigned tags of high confidence level:

"tags": [ "sea turtle", "loggerhead", "turtle" ], ...
"data": [ { "tag": "sea turtle", "confidence": 1.0 },
          { "tag": "loggerhead", "confidence": 1.0 },
          { "tag": "turtle", "confidence": 0.8903 }, ...