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Keylabs vs Label Studio

Keylabs

6.4#10 in ai image annotation tools$1 one-time
WebAPISelf-hosted
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Label Studio

8.2#2 in image annotation softwareFrom $99 a month
Free planWebAPILinuxmacOS
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What both publish

FactKeylabsLabel Studio
DeploymentKeylabs says it can be deployed in the cloud or on customer hardware, including a fully on-premise option for enterprises without internet access.Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda.
IntegrationsKeylabs lists integrations with AWS S3, Google Cloud, Azure, local storage, Roboflow, and Google Vision OCR.The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations.
SecurityKeylabs states that it is GDPR compliant and ISO 27001 and ISO 9001 certified, and that it encrypts data at rest and in transit.The security documentation says application component interactions use TLS and the web app enforces HTTPS and secured cookies.

Keylabs plans

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

Label Studio plans

  • Community EditionFree
  • Starter Cloud$99 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 Label Studio if…

It suits teams preparing labeled datasets across several media types, from individual community users to organizations needing managed cloud or on-prem deployment. Developers can use its APIs, Python SDK, and webhooks to connect labeling work to other systems.

Charts they share