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SPECIFICTION
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Keylabs vs Label Studio

Keylabs

keylabs.ai

Label Studio

labelstud.io

Side by side

FigureKeylabsLabel Studio
Price from—$99/mo
Free plan—Yes
Free trialYesYes
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published43
Spec score · Image Annotation Software8.1 (#9)9.1 (#1)
Spec score · AI Image Annotation Tools8.1 (#8)9.1 (#1)
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.
SupportThe pricing page lists customer support hours per month as a plan feature but does not show the hour amounts in its text.Community users are directed to Slack and GitHub issues, Starter Cloud includes a dedicated support portal, and Enterprise offers priority support with response time SLAs.

Plans

Keylabs

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

Keylabs pricing →

Label Studio

  • Community EditionFree
  • Starter Cloud$99 a month
  • EnterprisePriced on request

Label Studio pricing →

In their own words

Keylabs

Keylabs has no write-up on Specifiction yet; its figures are above.

Visit keylabs.ai

Label Studio

Label Studio is an open-source data labeling tool for text, images, audio, video, time series, and multimodal data. It provides a configurable labeling interface, project templates, data management, and annotation import and export. Custom machine-learning backends can provide predictions, while Enterprise adds automated active-learning loops. Its integrations directory spans cloud storage, foundation-model APIs, computer vision, speech and audio, machine-learning frameworks, and infrastructure. Listed storage options include Amazon S3, Google Cloud Storage, Azure Blob Storage, Databricks, Redis, and local storage. APIs, a Python SDK, and webhooks support programmatic management and integration. Deployment options include on-premises or cloud installation using pip, Docker, Ubuntu, source, or Anaconda. Security documentation describes TLS for application-component interactions, HTTPS, and secured cookies. Enterprise is described as SOC 2 and HIPAA compliant and can be deployed in the cloud or on premises, with SSO and SCIM 2.0 support. Community Edition is free. Starter Cloud costs $99 a month, with each additional user at $49 a month; Enterprise pricing is custom.

Visit labelstud.io