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Best Image Moderation APIs in 2025
Image Moderation detects and filters unwanted content such as written texts, faces, and objects from images and videos. It is mainly used to moderate adult-only content that is generally inappropriate for people under the age of 18 that includes NSFW (Not Safe For Work) occurrences: nudity, sexual activity, profanity, or any type of violence.
In addition to inappropriate content, it can also be used to detect fraud to block scammers, personal information (phone numbers, emails, social security numbers), minors, or even the presence of celebrities.
The Image Moderation API predicts whether an image contains potentially explicit content based on a probability score between 0 and 1. It also returns a determination of whether the image meets the conditions (true or false).
Image Moderation APIs can detect degrees of nudity: from partial nudity (bikini, underwear, cleavage, bare chest), to full nudity (naked bodies) to explicit nudity (suggestive poses, sexual content), it attributes percentages of confidence to your images and videos.
Detects offensive gestures, signs, and texts in images considered inappropriate: middle fingers, far-right flags, bad words, hateful language, etc. It is a great tool to moderate user-generated content to keep communities on social platforms safe from extremist content, harassment, and misinformation.
Again, the goal here is to moderate user-generated images or videos to remove or blur any gun-related content (along with other types of weapons) or displays of alcohol or drugs.
Image Moderation APIs also help detect graphic violence and gore such as blood, wounds, self-harm, human skulls, etc.
While comparing Image Moderation APIs, it is crucial to consider different aspects, among others, cost security and privacy. Image Moderation experts at Eden AI tested, compared, and used many Image Moderation APIs of the market. Here are some actors that perform well (in alphabetical order):
Api4AI’s Image Moderation API uses AI to automatically detect and filter inappropriate or harmful content in images, such as nudity, violence, and graphic material. It can be easily integrated into various platforms for real-time content moderation, ensuring safe environments on websites, social media, and user-generated content spaces. With customizable sensitivity settings and fast image analysis, it reduces the need for manual moderation while helping maintain compliance and safety.
Amazon Rekognition Content Moderation helps you improve user and brand safety by reviewing images and videos against predefined or custom unsafe categories, ensuring that your users and brand sponsors are not exposed to inappropriate content. It automates the moderation process, flagging up to 95% of unsafe content, and allows your human reviewers to focus on smaller subsets of flagged content using Amazon Augmented AI (A2I). The service provides scalable, cost-effective content moderation workflows without upfront commitments or expensive licenses, so you only pay for the images or video durations processed.
Clarifai's Image Moderation API uses AI to automatically detect and filter harmful content in images, including nudity, violence, and hate symbols. It offers pre-built models like the Image Moderation Classifier, NSFW Recognition, and Hate Symbol Detection to streamline content review and ensure compliance with community guidelines. The API is scalable, efficient, and can be integrated with multimodal models like Claude-3 Opus for advanced moderation tasks.
CyberPurify’s Image Moderation API uses AI to detect and block harmful content in images, including pornography and violence, ensuring online safety for children and users. It filters images, videos, and ads in real time across platforms, providing protection from inappropriate content. The technology also prevents third-party tracking and spyware, enhancing overall online security.
Google Cloud's Image Moderation feature, part of the Cloud Vision API, uses machine learning models to automatically detect and filter explicit content in images. It identifies harmful material such as nudity, violence, and graphic content through Safe Search Detection, helping businesses ensure safe, compliant user experiences. The API can be easily integrated into applications for scalable, automated content review, reducing the need for manual moderation while maintaining customizable filters for specific needs.
Microsoft Azure's Content Moderator API automates image moderation by detecting adult and explicit content, evaluating images with confidence scores, and using OCR to extract and moderate text within images. It also includes face detection to identify personal data. The API supports custom image lists to block repeatedly flagged content, reducing processing costs and errors, and provides a matching operation to compare incoming images against these lists. It enables users to create customized moderation workflows for improved efficiency.
Picpurify’s Content Moderation API offers real-time, AI-driven image moderation with advanced deep learning technology. It automatically detects and filters harmful content such as pornography, violence, drugs, and hate speech with 98% accuracy, making decisions in under 0.1 seconds. The API is highly customizable, allowing for tailored models to meet specific needs. It is cost-efficient, saving significant manpower in content detection, and is highly performant, having been integrated into numerous platforms to analyze millions of images.
SentiSight.ai offers an AI-powered NSFW image detection tool that identifies and filters inappropriate content, such as nudity, with predictions on image safety. It integrates easily via REST API and can be used through a web interface, on-premise models, or a mobile app. Ideal for social media, e-commerce, and gaming platforms, it provides flexible, cost-effective content moderation with a pay-as-you-go pricing model and free credits for new users.
WebPurify's Image Moderation API provides real-time AI moderation with over 98.5% accuracy, detecting harmful content like nudity, hate symbols, and offensive language. They also offer human moderation for complex cases, batch review of image backlogs, and image tagging and sorting. No content is stored on their servers, with images reviewed via URLs and strict security protocols for human reviewers. The service can detect in-image text in over 15 languages and flag harmful phrases. Processing time is fast, around 250 milliseconds per image.
For all the companies who use Image Moderation in their software: cost and performance are real concerns. The market is dense and all those providers have their own benefits and weaknesses.
Performances of Image Moderation APIs vary according to the specificity of data used by each AI engine for their model training. This means that some Image Moderation APIs perform well at detecting pornography while others may perform better at detecting violence in images. If you have customers coming from different fields, you must consider this detail and optimize your choice of provider.
Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Explicit Content Detection tasks in their cloud-based applications, without having to build their own solutions.
Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment analysis API, Keyword Extraction, Summarization, Question Answering, Data Anonymization, Speech recognition, and so forth.
We want our users to have access to multiple Image Moderation engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs:
You need to set up an Image Moderation API that is requested if and only if the main Image Moderation API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
After the testing phase, you will be able to build a mapping of Image Moderation vendors’ performance that depends on the criteria that you chose (languages, fields, etc.). Each data that you need to process will then be sent to the best Image Moderation API.
You can choose the cheapest Image Moderation provider that performs well for your data.
This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Image Moderation APIs will validate and invalidate each other for each piece of data.
Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.
You can see Eden AI documentation here.
The Eden AI team can help you with your Image Moderation integration project. This can be done by :
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