AWS Rekognition consultants

Q: What is AWS Rekognition?

AWS Rekognition is a machine learning service from Amazon that analyses images and videos. It can identify objects, detect faces, extract text, moderate content, and recognise scenes — all through an API that integrates with your existing systems.

Q: How does AWS Rekognition integrate with business workflows?

Through n8n, AWS Rekognition connects to your file storage, databases, CMS, and notification systems. When an image is uploaded or a video is processed, Rekognition analyses it and the results are automatically routed to the right destination.

Q: What is a common use case for AWS Rekognition?

A common use case is automated content moderation. When users upload images to your platform, Rekognition analyses each image for inappropriate content and either approves it or flags it for manual review — eliminating the need for someone to check every upload manually.

Q: How accurate is AWS Rekognition?

AWS Rekognition is trained on large datasets and delivers high accuracy for object detection, text extraction, and facial analysis. Confidence scores are returned with every result, allowing you to set thresholds that match your business requirements.

Q: What does AWS Rekognition cost?

AWS Rekognition uses pay-per-use pricing based on the number of images or minutes of video analysed. There are no upfront costs or minimum commitments, which makes it cost-effective for businesses of any size.

Q: Can Osher help build AWS Rekognition workflows?

Yes. We build n8n workflows that connect AWS Rekognition to your file storage, databases, and business tools. Whether you need automated image moderation, document text extraction, or visual content categorisation, we handle the full integration and testing.

We can help you automate your business with AWS Rekognition and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing AWS Rekognition.

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About AWS Rekognition

AWS Rekognition is a cloud-based image and video analysis service from Amazon Web Services that uses machine learning to identify objects, people, text, scenes, and activities in visual content. It also provides facial analysis, face comparison, and content moderation capabilities — all accessible through a straightforward API.

Businesses use AWS Rekognition for a wide range of applications: automating image moderation on user-generated content platforms, extracting text from scanned documents, verifying identities through facial comparison, analysing security footage, and categorising product images for e-commerce catalogues.

At Osher, we integrate AWS Rekognition into n8n workflows that process visual content automatically. For example, when a new image is uploaded to your system, a workflow can analyse it with Rekognition, extract relevant metadata, moderate the content, and route the results to your database or notification system. We have built similar AI-powered document processing pipelines — see our medical document classification case study for an example. Learn more about our approach on our AI agent development page.

If your team is manually reviewing images, categorising visual content, or extracting information from photos and scanned documents, AWS Rekognition combined with automated workflows can handle that work faster and more consistently.

AWS Rekognition FAQs

Frequently Asked Questions

Common questions about how AWS Rekognition consultants can help with integration and implementation

What is AWS Rekognition?

How does AWS Rekognition integrate with business workflows?

What is a common use case for AWS Rekognition?

How accurate is AWS Rekognition?

What does AWS Rekognition cost?

Can Osher help build AWS Rekognition workflows?

How it works

We work hand-in-hand with you to implement AWS Rekognition

As AWS Rekognition consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate AWS Rekognition with integrate and automate 800+ tools.

Step 1

Process Audit

We review how your team currently handles image and video content — manual reviews, categorisation, text extraction, and moderation. This helps us identify where AWS Rekognition can automate the most time-consuming visual analysis tasks.

Step 2

Identify Automation Opportunities

We map out every point where visual content needs analysis — image uploads, document scans, security footage, product photos. Each of these becomes a candidate for automated processing with AWS Rekognition.

Step 3

Design Workflows

We design n8n workflows that send visual content to AWS Rekognition for analysis and route the results to your databases, moderation queues, or notification systems. Confidence thresholds and routing logic are tailored to your specific needs.

Step 4

Implementation

We build and deploy the integration, connecting your file storage and content systems to AWS Rekognition through n8n. We configure AWS credentials, set up analysis parameters, and build the data pipeline for processing results.

Step 5

QA Review

We test the workflows with a diverse set of images and videos to verify detection accuracy, response times, and proper routing of results. Edge cases — like low-quality images or unusual content — are tested to ensure reliable performance.

Step 6

Support & Maintenance

After launch, we monitor the workflows and adjust confidence thresholds or processing logic as needed. If your visual analysis requirements change or AWS updates Rekognition, we update the integration to keep everything working accurately.

Transform your business with AWS Rekognition

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation AWS Rekognition consultation.

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