AWS Rekognition Pricing: Pay-as-you-go Model (2026)

Pricing overview

AWS Rekognition's pricing structure is designed around a pay-as-you-go model, meaning users are charged only for the specific resources consumed. This approach eliminates the need for upfront investments or long-term contracts, allowing for flexible scaling of computer vision capabilities. The primary cost drivers include the volume of images processed, the duration of video analyzed, and the usage of custom models created with Rekognition Custom Labels AWS Rekognition pricing page. Different features within Rekognition, such as image moderation, face detection, text in images, and video analysis, may have distinct per-unit rates.

Costs are typically calculated based on the number of units (e.g., images, minutes) processed by the service. For instance, analyzing a single image counts as one unit, while analyzing a video stream accrues charges based on the total minutes processed. Data transfer costs, while not directly part of Rekognition's service fee, may apply if data is transferred out of the AWS region where Rekognition is being utilized. These charges are standard across AWS services and are detailed on the Amazon S3 pricing page for data storage and transfer.

The pricing model also incorporates tiered pricing for high-volume usage, where the per-unit cost may decrease as usage increases within a billing month. This tiered structure is common across many AWS services, incentivizing higher consumption with reduced marginal costs. Users can monitor their Rekognition usage and estimated charges through the AWS Management Console's billing dashboard AWS Billing and Cost Management overview.

Plans and tiers

AWS Rekognition does not offer distinct 'plans' in the traditional sense, but rather a set of service features, each with its own pricing structure that typically includes tiered rates. These tiers reduce the per-unit cost as usage scales up within a monthly billing cycle. The primary categories for billing are image analysis, video analysis, and custom labels.

Image Analysis Pricing

For image analysis, charges are based on the number of images processed. This includes services like object and scene detection, facial analysis, celebrity recognition, and text detection in images. The pricing tiers generally decrease per 1,000 images after certain thresholds are met. For example, the first million images might be priced at one rate, and subsequent millions at a lower rate.

Video Analysis Pricing

Video analysis is billed per minute of video processed. This applies to features such as segment detection, content moderation, pathing, and person tracking in videos. Similar to image analysis, video processing also benefits from tiered pricing, where the cost per minute decreases with higher volumes of video analyzed within a month.

Custom Labels Pricing

Rekognition Custom Labels, which allows users to train custom models for specific object and scene detection, has a distinct pricing model. This service incurs costs for:

• Training hours: Charged per hour for the time taken to train a custom model. The cost depends on the instance type and duration of the training job.
• Inference hours: Charged per hour for running the custom model to make predictions. This is typically billed for the active inference time.

There are no separate 'plans' beyond these feature-specific pricing structures. All users access the full range of Rekognition capabilities and are billed according to their consumption across these categories, with the benefit of volume-based discounts.

Free tier and limits

AWS Rekognition offers a free tier designed to allow new users to experiment with the service's capabilities without incurring immediate costs. This free tier is available for the first 12 months following the creation of an AWS account and includes specific usage allowances for both image and video analysis AWS Rekognition free tier details.

The free tier for AWS Rekognition includes:

• Image Analysis: 5,000 images per month. This allowance covers all image analysis operations, such as object and scene detection, facial analysis, text in image, and celebrity recognition.
• Video Analysis: 1,000 minutes per month. This applies to all video analysis operations, including tasks like content moderation, person tracking, and activity detection in videos.

It is important to note that the free tier is specific to new AWS accounts and expires after 12 months. After this period, or if usage exceeds the free tier limits within the 12-month period, standard pay-as-you-go rates apply. The free tier does not typically cover Rekognition Custom Labels, which is a more advanced service for training custom models and is billed separately from the outset.

Users should actively monitor their usage through the AWS Billing Dashboard to avoid unexpected charges, especially as they approach the free tier limits or as the 12-month period concludes. Exceeding these limits will seamlessly transition users to the standard pricing tiers for the additional usage.

Real-world cost examples

To illustrate how AWS Rekognition pricing works in practice, consider a few common scenarios:

Scenario 1: Small-scale Image Moderation

• Use Case: A new mobile application needs to moderate user-uploaded profile pictures for inappropriate content.
• Usage: Processes 50,000 images per month for content moderation.
• Calculation: Assuming a base rate of $1.00 per 1,000 images for the first 1 million images (rates vary by region and service).
• Cost: (50,000 images / 1,000) * $1.00 = $50.00 per month.

Scenario 2: Medium-scale Video Content Tagging

• Use Case: A media company processes short video clips (averaging 1 minute each) for object and scene detection to improve searchability.
• Usage: Analyzes 10,000 minutes of video per month.
• Calculation: Assuming a base rate of $0.10 per minute for the first 100,000 minutes of video (rates vary by region and service).
• Cost: 10,000 minutes * $0.10 = $1,000.00 per month.

Scenario 3: Custom Model for Product Identification

• Use Case: An e-commerce platform trains a custom model using Rekognition Custom Labels to identify specific product variants in customer photos.
• Usage:
• Initial training: 20 hours (one-time).
• Monthly inference: 100 hours of active inference.
• Calculation:
• Training cost: 20 hours * $4.50/hour (example rate) = $90.00 (one-time).
• Inference cost: 100 hours * $1.10/hour (example rate) = $110.00 per month.
• Total Cost (first month with training): $90.00 + $110.00 = $200.00.
• Subsequent Monthly Cost (inference only): $110.00.

These examples provide a general idea of potential costs. Actual costs may vary based on specific AWS region, current pricing tiers, and the exact Rekognition features utilized. Users are encouraged to use the AWS Pricing Calculator for more precise estimates based on their specific usage patterns and chosen region.

How the pricing compares

When comparing AWS Rekognition's pricing with alternatives like Google Cloud Vision AI and Azure AI Vision, several factors come into play, primarily the pricing model, free tier offerings, and the specific features being utilized.

AWS Rekognition vs. Google Cloud Vision AI

AWS Rekognition and Google Cloud Vision AI pricing both adopt a pay-as-you-go model with volume-based discounts. Google Cloud Vision AI typically charges per 1,000 units for image processing, similar to Rekognition. However, the specific rates for features like face detection, object localization, or text detection can differ. Google Cloud Vision AI offers a free tier that includes 1,000 units per month for some features, which is generally lower than Rekognition's 5,000 images/month. For custom model training, Google Cloud offers AutoML Vision, which also charges based on training hours and inference hours, with rates that can be competitive or slightly higher depending on the specific model type and resource allocation.

AWS Rekognition vs. Azure AI Vision

Azure AI Vision pricing also follows a consumption-based model, with charges typically based on transactions (API calls) or image/video units processed. Azure's free tier for AI Vision includes a certain number of free transactions per month, which can be comparable in value to Rekognition's free image allowance, though the specific limits and duration might vary. Azure's custom vision service (part of AI Vision) also bills for training and prediction hours, similar to Rekognition Custom Labels. The per-unit costs for basic image and video analysis features are often in a similar range across all three major providers, but specific enterprise agreements or regional pricing can cause variations.

General Comparison Points

• Tiered Pricing: All three major providers (AWS, Google Cloud, Azure) offer tiered pricing, where the per-unit cost decreases significantly as usage scales up. This makes direct comparisons complex without specific usage volumes.
• Feature Parity: While core features like object detection, face analysis, and text recognition are common, specialized features or the performance of custom models can influence the overall value proposition beyond just cost.
• Ecosystem Integration: Existing investment in a particular cloud ecosystem (AWS, Azure, GCP) often makes that vendor's computer vision service more cost-effective due to reduced data transfer costs and easier integration with other services.
• Data Transfer Costs: All cloud providers charge for data egress (data transferred out of their network or between regions), which can be a significant factor for applications processing large volumes of visual data. Users should always factor in these costs when estimating total expenditure.

Ultimately, the most cost-effective solution depends on the specific use case, required features, anticipated volume, and existing cloud infrastructure. It is recommended to perform a detailed cost analysis using each vendor's pricing calculator for a precise comparison.