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Keylabs vs Roboflow

Keylabs

6.4#10 in ai image annotation tools$1 one-time
WebAPISelf-hosted
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Roboflow logo

Roboflow

8.3#1 in ai image recognition softwareFrom $39 a month
Free planAndroidiOSWebAPI
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What both publish

FactKeylabsRoboflow
Company historyKeylabs says it began as a custom annotation tool built for its own needs and later developed into a flexible annotation platform.Roboflow says Brad Dwyer and Joseph Nelson launched the company in 2020 after working on a computer vision project in 2019.
IntegrationsKeylabs lists integrations with AWS S3, Google Cloud, Azure, local storage, Roboflow, and Google Vision OCR.Roboflow lists 38 integrations, including AWS S3, CVAT, Labelbox, Amazon SageMaker, Google Colab, Kubernetes, Jetson, Raspberry Pi, iOS, and Zapier.
SecurityKeylabs states that it is GDPR compliant and ISO 27001 and ISO 9001 certified, and that it encrypts data at rest and in transit.Roboflow’s Trust Center states that it uses AES-256 encryption and provides access to security materials including SOC 2 and HIPAA information.
SupportThe pricing page lists customer support hours per month as a plan feature but does not show the hour amounts in its text.Roboflow provides a knowledge base, developer documentation, forums, YouTube tutorials, and enterprise priority support by email and in-app chat.

Keylabs plans

  • Startup$1, paid once
  • Pro$2.10, paid once
  • Business$2.30, paid once
  • EnterprisePriced on request

Roboflow plans

  • Free TierFree
  • Core$39 a month
  • EnterprisePriced on request

Pick Keylabs if…

Keylabs suits enterprise AI teams, data operations teams, ML engineers, and AI vendors handling varied image, video, or 3D datasets. It also fits organizations needing cloud, self-hosted, or on-premise deployment.

Pick Roboflow if…

Roboflow suits developers and enterprises building computer vision applications, especially teams that need annotation, model deployment and dataset collaboration. Its self-hosting, VPC and on-premise options may suit organizations with deployment or data-sovereignty requirements.

Charts they share