{"id":37111,"date":"2025-03-03T07:00:00","date_gmt":"2025-03-03T15:00:00","guid":{"rendered":"https:\/\/cloudinary.com\/blog\/?p=37111"},"modified":"2025-03-03T11:43:01","modified_gmt":"2025-03-03T19:43:01","slug":"automated-content-moderation-ai-vision","status":"publish","type":"post","link":"https:\/\/cloudinary.com\/blog\/automated-content-moderation-ai-vision","title":{"rendered":"Automated Content Moderation With the Cloudinary AI Vision Add-On"},"content":{"rendered":"<div class=\"wp-block-cloudinary-markdown \"><p>There\u2019s a lot of fake, poor-quality, and harmful content on the internet. To maintain a safe environment on your website or app, it\u2019s vital to implement content moderation to flag and remove that content. In some places, moderation can even be a legal requirement. But <a href=\"https:\/\/cloudinary.com\/documentation\/user_generated_content\">user-generated<\/a> or third-party content moderation has often relied on user reports and manual efforts from site admins, which can be costly and time-consuming.<\/p>\n<p>Large language models, computer vision, optical character recognition, and other recent advancements in technology make it possible to put effective automated content management strategies in place. Cloudinary has a suite of <a href=\"https:\/\/cloudinary.com\/documentation\/cloudinary_add_ons\">add-ons<\/a> and other tools that take advantage of these technologies to moderate your visual media.<\/p>\n<p>In this blog post, we\u2019ll explore how to use the new <a href=\"https:\/\/cloudinary.com\/documentation\/cloudinary_ai_vision_addon\">Cloudinary AI Vision add-on<\/a> to put content management policies in place for image assets. If you need moderation for video or other assets, you can utilize <a href=\"https:\/\/cloudinary.com\/documentation\/google_ai_video_moderation_addon\">Google AI Video Moderation<\/a>, <a href=\"https:\/\/cloudinary.com\/documentation\/aws_rekognition_video_moderation_addon\">Amazon Rekognition Video Moderation<\/a> or one of Cloudinary\u2019s many other add-ons. Cloudinary AI Vision simplifies content moderation with its <a href=\"https:\/\/cloudinary.com\/documentation\/cloudinary_ai_vision_addon#moderation_mode\">Moderation Mode<\/a>, allowing businesses to automate repetitive tasks, reduce manual effort, and ensure the standards of your visual media are consistent.<\/p>\n<h2>Getting Started With the Cloudinary AI Vision Add-on<\/h2>\n<p>Working with Cloudinary add-ons is an easy process using <a href=\"https:\/\/cloudinary.com\/documentation\/upload_presets\">Upload presets<\/a>, the <a href=\"https:\/\/cloudinary.com\/documentation\/analyze_api_reference\">Analyze API<\/a>, or <a href=\"https:\/\/cloudinary.com\/documentation\/cloudinary_sdks\">Cloudinary SDKs<\/a>.\nTo get started:<\/p>\n<ul>\n<li>\n<strong>Sign up for Cloudinary.<\/strong> If you don\u2019t already have an account, <a href=\"https:\/\/cloudinary.com\/users\/register_free\">create one here for free<\/a>.<\/li>\n<li>\n<strong>Enable the AI Vision Add-on.<\/strong> Go to the <strong>Settings &gt; Add-ons &gt; Cloudinary AI Vision<\/strong> page in your Cloudinary account and activate AI Vision.<\/li>\n<li>\n<strong>Choose your integration method.<\/strong> Use the <a href=\"https:\/\/cloudinary.com\/documentation\/analyze_api_reference\">Analyze API<\/a> for direct analysis or integrate AI Vision into your upload pipeline for real-time moderation.<\/li>\n<li>\n<strong>Leverage Cloudinary SDKs.<\/strong> Cloudinary provides <a href=\"https:\/\/cloudinary.com\/documentation\/cloudinary_sdks\">SDKs in various languages<\/a> to streamline API usage, making integration quick and efficient.<\/li>\n<li>\n<strong>Customize for your needs.<\/strong> Tailor moderation questions to match your platform\u2019s unique requirements.<\/li>\n<\/ul>\n<h2>Using the Analyze API<\/h2>\n<p>At the core of AI Vision\u2019s moderation capabilities is the <code>ai_vision_moderation<\/code> method. This mode evaluates images against specific yes\/no questions, ensuring adherence to guidelines or creative specifications.<\/p>\n<h3>Example: Detecting Inappropriate Content<\/h3>\n<p>Let\u2019s say you\u2019re moderating a platform to ensure no images contain alcohol or nudity.\n<strong>API request:<\/strong><\/p>\n<pre class=\"js-syntax-highlighted\"><code>`curl '&lt;https:\/\/&lt;API_KEY&gt;:&lt;API_SECRET&gt;@api.cloudinary.com\/v2\/analysis\/&gt;&lt;CLOUD_NAME&gt;\/analyze\/ai_vision_moderation' -d '{\n  &quot;source&quot;: {\n    &quot;uri&quot;: &quot;&lt;https:\/\/res.cloudinary.com\/demo\/image\/upload\/woman-business-suit&gt;&quot;\n  },\n  &quot;rejection_questions&quot;: [\n    &quot;Does the image contain alcohol?&quot;,\n    &quot;Does the image contain nudity?&quot;\n  ]\n}'\n**API response:**\n`{\n  &quot;analysis&quot;: {\n    &quot;responses&quot;: [\n      { &quot;prompt&quot;: &quot;Does the image contain alcohol?&quot;, &quot;value&quot;: &quot;no&quot; },\n      { &quot;prompt&quot;: &quot;Does the image contain nudity?&quot;, &quot;value&quot;: &quot;no&quot; }\n    ]\n  }\n}`\n<\/code><\/pre>\n<p>In this scenario, AI identifies that the image doesn\u2019t violate the platform\u2019s guidelines. The confidence percentage isn\u2019t included in the API response, but it exceeds the number configured in the preset.<\/p>\n<h2>Integrating Moderation Into the Upload Pipeline<\/h2>\n<p>You can also integrate AI Vision directly into your upload pipeline, enabling real-time evaluation of assets as they\u2019re uploaded to your Cloudinary account. <a href=\"https:\/\/cloudinary.com\/blog\/creating-video-processing-pipelines\">Check out this blog post<\/a> to learn more about Cloudinary asset pipelines.<\/p>\n<h3>Example: Moderating During Upload<\/h3>\n<p>You can create an <a href=\"https:\/\/cloudinary.com\/documentation\/upload_presets\">upload preset<\/a> or use Cloudinary SDK\u2019s to enable the <code>ai_vision_moderation<\/code> mode as part of the upload process.<\/p>\n<p>Here\u2019s how you would do it using the Node.js SDK:<\/p>\n<pre class=\"js-syntax-highlighted\"><code>`const cloudinary = require('cloudinary').v2;\n\ncloudinary.config({\n  cloud_name: '&lt;CLOUD_NAME&gt;',\n  api_key: '&lt;API_KEY&gt;',\n  api_secret: '&lt;API_SECRET&gt;'\n});\n\ncloudinary.uploader.upload('path\/to\/image.jpg', {\n  moderation: 'ai_vision_moderation',\n  moderation_questions: [\n    &quot;Does the image contain explicit content?&quot;,\n    &quot;Does the image contain hate symbols?&quot;\n  ]\n}, function(error, result) {\n  if (error) console.error(error);\n  else console.log(result.moderation);\n});`\n<\/code><\/pre>\n<p>The upload response will include moderation details, allowing you to decide whether to approve or reject the content before making it publicly accessible.<\/p>\n<h2>Building Custom Moderation Policies<\/h2>\n<p>AI Vision\u2019s flexibility allows you to define custom moderation policies tailored to your business. For example:<\/p>\n<ul>\n<li>\n<strong>Retail platforms.<\/strong> \u201cDoes the image contain counterfeit items?\u201d<\/li>\n<li>\n<strong>Social media.<\/strong> \u201cDoes the image display hate symbols?\u201d<\/li>\n<li>\n<strong>Publishing.<\/strong> \u201cIs the image safe for a general audience?\u201d<\/li>\n<\/ul>\n<h3>Example: Moderating for Offensive Symbols<\/h3>\n<p>Here\u2019s a workflow for identifying offensive symbols in images:<\/p>\n<p>API request:<\/p>\n<pre class=\"js-syntax-highlighted\"><code>curl 'https:\/\/&lt;API_KEY&gt;:&lt;API_SECRET&gt;@api.cloudinary.com\/v2\/analysis\/&lt;CLOUD_NAME&gt;\/analyze\/ai_vision_moderation' -d '{ &quot;source&quot;: { &quot;uri&quot;: &quot;https:\/\/res.cloudinary.com\/demo\/image\/upload\/sample-image&quot; }, &quot;rejection_questions&quot;: [ &quot;Does the image display offensive symbols?&quot; ] }'  \n<\/code><\/pre>\n<p>API response:<\/p>\n<pre class=\"js-syntax-highlighted\"><code>{ &quot;analysis&quot;: { &quot;responses&quot;: [ { &quot;prompt&quot;: &quot;Does the image display offensive symbols?&quot;, &quot;value&quot;: &quot;yes&quot; } ] } }  \n<\/code><\/pre>\n<h2>Summary<\/h2>\n<p><a href=\"https:\/\/cloudinary.com\/documentation\/cloudinary_ai_vision_addon#banner\">Cloudinary AI Vision<\/a> is a powerful, user-friendly solution for modern visual media management. Automate compliance checks, protect brand integrity, and maintain a safe user experience to scale your digital asset management. <a href=\"https:\/\/cloudinary.com\/\">Contact us today<\/a> to learn more.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":87,"featured_media":37112,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_cloudinary_featured_overwrite":false,"footnotes":""},"categories":[1],"tags":[336,383,300],"class_list":["post-37111","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-ai","tag-nodejs","tag-user-generated-content"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.6 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Automate Content Moderation With the Cloudinary AI Vision Add-On<\/title>\n<meta name=\"description\" content=\"Discover how the Cloudinary AI Vision add-on streamlines content moderation. 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