Irisnet Pricing: Credit-Based Image Moderation (2026)

Pricing overview

Irisnet offers a credit-based pricing model for its API, which is designed for automated image and video content moderation. Users acquire credits, and these credits are consumed when the API processes an image or a frame from a video. The number of credits deducted per operation depends on the specific moderation tasks performed, such as object detection, facial recognition, or explicit content filtering. This system allows for flexible usage, accommodating varying volumes of content moderation needs for developers and businesses. Both recurring monthly plans and a pay-as-you-go option are available to suit different operational scales and budget structures, as detailed on the official Irisnet pricing page.

The service categorizes its moderation capabilities and charges credits based on the level of analysis required. For instance, a basic content safety check might consume fewer credits than a detailed analysis involving multiple detection models. This granular approach helps users manage costs by only paying for the specific types of moderation they require. The credit system is designed to provide transparency in billing, enabling users to forecast expenses based on their anticipated content volume and moderation intensity.

As a machine learning service, Irisnet's operational costs are influenced by the computational resources required for its computer vision models. The pricing structure reflects these underlying costs, offering scaled pricing where larger credit packages typically result in a lower per-credit cost. This tiered approach incentivizes higher volume usage, which is common among platforms dealing with user-generated content or large media libraries. The platform adheres to data privacy regulations such as GDPR compliance standards.

Plans and tiers

Irisnet provides several plans and tiers, structured to meet different usage requirements, ranging from individual developers to large enterprises. These plans are primarily differentiated by the volume of credits included and their monthly cost. All plans grant access to the same core Irisnet API functionality for image and video moderation, with the distinction lying in the credit allowance and the effective cost per credit.

The following table outlines the main subscription plans available, based on information provided on the official Irisnet prices page:

For users who exceed their monthly credit allowance on a subscription plan, additional credits can typically be purchased at a rate similar to the Pay-As-You-Go model. This ensures continuous service without interruption. The Pay-As-You-Go option offers maximum flexibility, charging users only for the credits consumed, making it suitable for projects with fluctuating or unpredictable moderation volumes.

Free tier and limits

Irisnet offers a free tier that provides users with 100 free credits upon registration. This free credit allowance is designed to enable developers and businesses to test the Irisnet API's capabilities, integrate it into their applications, and evaluate its performance with their specific content types before committing to a paid plan. The 100 credits are typically sufficient for processing a small batch of images or a very short video segment, allowing for basic functionality testing across different moderation categories.

The free tier operates under the same credit consumption rules as the paid plans. For example, if a standard image moderation task costs 1 credit, the free tier allows for 100 such operations. The free credits do not expire, providing ample time for evaluation. However, once these initial credits are exhausted, users will need to subscribe to a paid plan or opt for the Pay-As-You-Go model to continue using the service. There are no functional limitations or feature restrictions within the API when using free credits; the only constraint is the credit volume.

The availability of a free tier is a common strategy among API providers to lower the barrier to entry and encourage adoption. For instance, similar free tiers are offered by other cloud-based AI services, such as Google Cloud's free tier, which provides a certain amount of free usage for various APIs, including Vision AI. Irisnet's approach ensures that potential users can thoroughly assess the API's suitability for their content moderation needs without an upfront financial commitment.

Real-world cost examples

Understanding Irisnet's credit consumption is key to estimating real-world costs. While specific credit costs per operation can vary based on the complexity of the moderation task (e.g., detecting explicit content vs. identifying specific objects), a common baseline is 1 credit per image or video frame for standard moderation. The following examples illustrate potential costs based on this general assumption and the published Irisnet pricing structure.

1. Small Social Media Platform (2,000 images/month):
   • Scenario: A new social media app needs to moderate user-uploaded profile pictures and posts for explicit content and violence. They anticipate around 2,000 images per month.
   • Credit Consumption: 2,000 images * 1 credit/image = 2,000 credits.
   • Recommended Plan: The Small plan offers 2,500 credits for €19/month. This plan would comfortably cover their needs and leave some buffer.
   • Monthly Cost: €19.
2. E-commerce Site with User Reviews (8,000 images/month):
   • Scenario: An e-commerce platform allows users to upload images with product reviews. They process approximately 8,000 images monthly for inappropriate content and brand safety.
   • Credit Consumption: 8,000 images * 1 credit/image = 8,000 credits.
   • Recommended Plan: The Medium plan provides 10,000 credits for €49/month, fitting their usage perfectly.
   • Monthly Cost: €49.
3. Large Content Platform (40,000 images/month):
   • Scenario: A large online forum or content sharing site moderates a high volume of user-generated content, expecting around 40,000 images and short video frames per month.
   • Credit Consumption: 40,000 items * 1 credit/item = 40,000 credits.
   • Recommended Plan: The Large plan offers 30,000 credits for €99/month. This would necessitate purchasing an additional 10,000 credits. Alternatively, the Extra Large plan offers 75,000 credits for €199/month, providing significant headroom and a lower effective cost per credit.
   • Monthly Cost (Large + Overages): €99 (base) + 10 * €10 (10,000 extra credits at Pay-As-You-Go rate) = €199.
   • Monthly Cost (Extra Large): €199 (no overages).
   • Decision: Opting for the Extra Large plan would be more cost-effective and simpler to manage in this scenario.
4. Event Livestreaming Service (Fluctuating usage):
   • Scenario: A service that hosts live events and needs real-time video moderation. Usage is highly unpredictable, with spikes during events and very low usage otherwise.
   • Credit Consumption: Varies wildly, from 5,000 credits in a slow month to 50,000 credits during major events.
   • Recommended Plan: The Pay-As-You-Go option at €10.00 per 1,000 credits would be most suitable. This avoids fixed monthly costs during low-usage periods.
   • Monthly Cost (Example): If 25,000 credits are used in a month, the cost would be 25 * €10.00 = €250.

These examples illustrate how different usage patterns can align with Irisnet's various pricing tiers. For precise cost calculations, users should consult the latest credit consumption rates for specific API features on the Irisnet pricing documentation.

How the pricing compares

Irisnet's pricing model, based on credits for image and video moderation, can be compared with other major computer vision and content moderation services like Amazon Rekognition and Google Cloud Vision AI. While the core functionality of detecting inappropriate content, objects, and faces is similar across these platforms, their pricing structures often differ in granularity and scale.

Irisnet:

• Model: Credit-based, with distinct monthly plans and a pay-as-you-go option.
• Cost Example: Small plan at €19 for 2,500 credits (effective €7.60/1,000 credits). Pay-as-you-go at €10.00/1,000 credits.
• Key Differentiator: Clear, consolidated credit pricing often covering multiple moderation features under one credit cost per item. Focus on content moderation.

Amazon Rekognition:

• Model: Pay-as-you-go, with separate pricing for different features (e.g., image analysis, video analysis, face Liveness). Tiered pricing based on volume for each feature.
• Cost Example: For image moderation (Content Moderation API), the first 1 million images/month are typically $1.00 per 1,000 images. Video moderation (Content Moderation API) is priced per minute of video processed, often starting at $0.10 per minute for the first 1 million minutes/month. (Source: AWS Rekognition Pricing)
• Key Differentiator: Highly granular pricing, allowing users to pay only for specific API calls and features. Part of the broader AWS ecosystem.

Google Cloud Vision AI:

• Model: Pay-as-you-go, with pricing per 1,000 units (images) and separate costs for different Vision API features (e.g., Safe Search Detection, Object Localization, Face Detection). Tiered pricing with discounts for higher volumes.
• Cost Example: Safe Search Detection and Web Detection often cost $1.50 per 1,000 units for the first 5 million units per month. Explicit Content Detection may be included within Safe Search or priced similarly. (Source: Google Cloud Vision AI Pricing)
• Key Differentiator: Integrates deeply with other Google Cloud services, offering a wide array of vision capabilities beyond just moderation, with distinct pricing for each.

Comparison Summary:

• Simplicity: Irisnet's credit system can appear simpler for content moderation-focused use cases, as credits often cover a bundle of moderation checks per image/frame. AWS Rekognition and Google Cloud Vision AI offer highly detailed, feature-specific pricing, which can be more complex to calculate but potentially more cost-efficient if only very specific features are needed.
• Free Tier: All three providers offer a free tier or free usage limits to get started, though the specific allowances differ. Irisnet's 100 free credits allow for initial testing.
• Scalability: All platforms are designed for scalability, with tiered pricing that reduces the effective cost per unit at higher volumes. Irisnet's monthly plans offer predictable costs for consistent usage, while AWS and Google Cloud's pure pay-as-you-go models might suit highly variable or bursty workloads if managed carefully.
• Focus: Irisnet is specifically focused on content moderation. AWS Rekognition and Google Cloud Vision AI are broader computer vision platforms, offering a wider range of AI capabilities beyond just moderation, which can be beneficial for projects requiring diverse vision tasks.

Developers should evaluate their specific needs, anticipated volumes, and the precise features required to determine which platform offers the most cost-effective and suitable solution. For projects primarily focused on automated content moderation, Irisnet's consolidated credit pricing can offer a straightforward and transparent option.