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Keylabs vs Prodigy

Both stand on ai image annotation tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Keylabs

Free trial APISelf-hostedWeb

Keylabs brings varied annotation tools, model support, integrations, and deployment choices into one platform. Check the plan limits and pricing structure against your team’s needs before choosing a plan.

Visit Keylabs

Prodigy

Paid APILinuxMac+3

Prodigy combines broad annotation coverage with developer control over workflows, interfaces, storage, and deployment. Its paid licensing and technical setup make it a closer fit for teams with Python skills than for casual annotators.

Visit Prodigy

The facts

KeylabsProdigy
Free planA free trialNo
Open sourceNot publishedNo
Runs onAPI, Self-hosted, WebAPI, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planStartup: $1, paid onceSee the plans
Plans published42
MakerNot publishedNot published
Websitekeylabs.aiprodigy.ai
On ai image annotation tools#15 of 24#19 of 24

Keylabs: what it does well

  • Supports image, video, and 3D annotation types.
  • AI assistance and multi-layer quality assurance are included.
  • REST API has 110+ secure endpoints.
  • Cloud and fully on-premise deployment options are listed.
  • Exports include COCO, YOLO, and native formats.

What to know first

  • No free plan is listed.
  • Startup is billed at $1,200.00.

Prodigy: what it does well

  • 23 interfaces cover varied annotation tasks.
  • Custom workflows use Python recipes.
  • Integrates with spaCy and major LLM APIs.
  • Can run locally, air-gapped, or on-premise.
  • Exports data as JSON and JSONL.

What to know first

  • No free plan; Personal starts at $390, paid once.
  • Company licensing requires packs of five seats.
  • Hosted trials are not offered to individuals.
  • Setup assumes Python and command-line familiarity.

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