Comparison

Amazon Rekognition vs Roboflow

On the evidence we track, Roboflow leads this comparison with a composite score of 64/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Amazon Rekognition27
Roboflow64
Score
Vioscale score
Amazon Rekognition27 / 100low · 22%updating
Roboflow64 / 100medium · 54%updating
Pricing
Free tier
Amazon Rekognition
Roboflow
Model
Amazon Rekognition
Roboflowfreemium
Price level
Amazon Rekognition
Roboflowhigh
Starting price
Amazon Rekognition
Roboflow$79
Transparent
Amazon Rekognition
Roboflow
Integrations
Count
Amazon Rekognition
Roboflow16
Security
Fedramp
Amazon Rekognition
Roboflow
Gdpr
Amazon Rekognition
Roboflow
Hipaa
Amazon Rekognition
Roboflow
Pci
Amazon Rekognition
Roboflow
Soc2
Amazon Rekognition
Roboflow
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for computer vision apis. “-” means undocumented, not absent.

Capabilities
Custom model training
Amazon Rekognition-
Roboflow
Face recognition
Amazon Rekognition-
Roboflow-
OCR text extraction
Amazon Rekognition-
Roboflow-
Content moderation
Amazon Rekognition-
Roboflow-
Video support
Amazon Rekognition-
Roboflow
Edge on device support
Amazon Rekognition-
Roboflow
Open source
Amazon Rekognition-
Roboflow
Commercial license required for saas
Amazon Rekognition-
Roboflow
SOC2
Amazon Rekognition-
Roboflow

What each one is

The product in its own terms, so the numbers below have context.

Amazon Rekognition

Managed computer vision service that detects and analyzes visual elements in images and video streams using pre-built or custom machine learning models, enabling tasks like content moderation, face recognition, and text extraction without requiring machine learning expertise.

Independently observed

Roboflow

Leader

Roboflow provides integrated tools for preparing datasets, training custom and foundation computer vision models, and deploying them across cloud and edge infrastructure. Over one million developers use it to build production computer vision applications with support for collaboration, model versioning, and monitoring.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Amazon Rekognition

Pricing not documented yet.

Roboflow

Leader
from $79/moSubscriptionFree tier14-day trial

Free tier available. Core plan from $79/month (annual). Enterprise custom pricing.

  • PublicFree
    • Model training
    • Workflow builder
    • Cloud hosted deployment
    • Edge device sandbox
    • Open source data and models
    • +1 more
  • Core$79/mo billed annually ($99/mo monthly)
    • Private data and models
    • Training analytics
    • Model evaluation
    • Train concurrent models
    • Download model weights
  • EnterpriseContact sales
    • Enterprise support
    • Commercial inference model license
    • Priority cloud GPU access
    • RBAC with annotation review
    • Workflow versioning
    • +6 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Amazon Rekognition
Roboflow
iOS
Amazon Rekognition
Roboflow
CLI
Amazon Rekognition
Roboflow
Deployment
Cloud / SaaS
Amazon Rekognition
Roboflow
Self-hosted
Amazon Rekognition
Roboflow
On-premise
Amazon Rekognition
Roboflow
Air-gapped
Amazon Rekognition
Roboflow

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Amazon Rekognition

Not documented yet.

Roboflow

Leader
16 total
  • Amazon SageMaker
  • Google Colab
  • Amazon Rekognition
  • Google Cloud Vision AutoML
  • Azure Custom Vision
  • CreateML
  • YOLOv8
  • YOLOv5
  • NVIDIA Jetson
  • Luxonis OAK
  • Ultralytics
  • Transformers
  • MMDetection
  • Supervision
  • Docker
  • Kubernetes
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.