Imagga is an AI Image tool that provides advanced image and video recognition technologies to analyze, discover, and moderate visual content.

Imagga is designed for businesses and organizations that require content moderation, digital asset management, product discovery, and custom model training.

What can I do with Imagga?

With Imagga, you can detect explicit content, automate tagging of images and videos, categorize visual content, and utilize facial recognition for user authentication.

How much does Imagga cost?

Imagga offers a freemium pricing model, including a free tier with 100 API requests, and paid tiers such as Indie, Pro, and Enterprise with varying API request limits and support options.

How is Imagga different from alternatives?

Imagga differentiates itself by combining AI technology with human oversight for content moderation, ensuring accuracy and efficiency in managing visual content.

Does Imagga have a free trial?

Imagga offers a free tier with limited API requests, allowing users to try out the service before considering paid options.

Imagga Review: Pricing, Features & Alternatives

Analyze, discover, and moderate visual content with advanced image and video recognition technologies.

AI Engineering ToolsFreemiumWebsite

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Domain Rating

Monthly Traffic

Traffic Growth

+0.0%

Launch Date

Jan 2011

Est. Revenue

$6.1M

About Imagga

Powerful APIs to detect explicit content, tag images, and organize media at scale. Trusted by 200+ brands to automate visual workflows.

Quick facts about Imagga

Imagga is an AI tool tracked by Relve in the AI Engineering Tools category. It uses a Freemium pricing model and runs on the web at imagga.com.

The Relve catalog tracks 200+ live AI tools in this category. Imagga is part of the editorial tracking surface, with a Domain Rating of 42 on Ahrefs' authority scale.

Closest alternatives: Zeabur, Workik, CodeLayer, ApiX-Drive, MindStudio. Compare Imagga head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.

Best for: teams looking for ai engineering tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Imagga on a rolling 24-hour cycle, so the numbers above reflect the most recent snapshot of where the tool sits in the market.

Key Features

Moderation

Nudity & Explicit Detection

This feature helps platforms detect inappropriate material, ensuring a safer environment for users. It utilizes advanced algorithms to identify and flag explicit content, allowing businesses to maintain community standards effectively.

Text Moderation

Text Moderation allows for the detection of harmful or inappropriate text content across various platforms. This feature helps businesses ensure that user-generated content adheres to community guidelines, enhancing user safety.

AI+Human Platform

This platform combines AI technology with human oversight to enhance content moderation processes. It ensures that content is accurately reviewed and moderated, balancing efficiency with the nuanced understanding of human moderators.

Recognition

Tagging v2

Tagging v2 automates the assignment of relevant tags to images and videos, enhancing their discoverability. This feature leverages deep learning to analyze visual content and generate descriptive tags, making it easier for users to find specific media.

Structured Tagging v3

Structured Tagging v3 improves upon previous tagging capabilities by providing more accurate and contextually relevant tags for images. This feature is designed to enhance the searchability of visual content through advanced machine learning techniques.

Categorization

The Categorization feature allows businesses to classify images into predefined categories automatically. This helps in organizing visual content efficiently, making it easier to manage large datasets.

Facial Recognition

Facial Recognition technology identifies and verifies individuals in images. This feature is useful for applications requiring user authentication or monitoring, enhancing security and personalization.

OCR

Optical Character Recognition (OCR) converts different types of documents, such as scanned paper documents or PDFs, into editable and searchable data. This feature enhances the accessibility of text within images.

Custom AI models

Custom AI models allow businesses to train specific models tailored to their unique content needs. This feature provides flexibility in categorization and tagging, ensuring that the AI understands the specific context of the images.

Search

Visual Search

Visual Search enables users to find products or images by uploading a photo instead of using text-based queries. This feature enhances user experience by providing a more intuitive way to discover visual content.

Color Extraction

Color Extraction identifies and extracts dominant colors from images, which can be used for better product categorization and searchability. This feature is particularly useful in e-commerce for enhancing product discovery.

Edit

Image Cropping v2

Image Cropping v2 automates the process of cropping images to focus on specific areas of interest. This feature saves time and enhances the quality of visual content by ensuring that only the most relevant parts are displayed.

Structured Cropping v3

Structured Cropping v3 offers advanced cropping capabilities that allow for more precise control over the cropping process. This feature is designed to improve the visual appeal of images by ensuring optimal framing.

Background Removal

Background Removal technology isolates the main subject of an image by removing the background. This feature is essential for creating professional-looking images for e-commerce and marketing purposes.

Generate

Synthetic data generation

Synthetic data generation creates artificial data that mimics real-world data for training AI models. This feature is crucial for enhancing model performance without the need for extensive real-world datasets.

Virtual Try-On

Virtual Try-On technology allows users to visualize how products would look on them using augmented reality. This feature enhances the shopping experience by providing a realistic preview of products.