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Computer Vision

Clarifai

End-to-end platform for recognizing images and video

Freemium - from FreeRuns in the cloud

Pricing

Freemium - from Free

Free

Platforms

Web - API

Cloud API

Category

Computer Vision

58 tools

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Last updated

Sep 23

Listing updated

Best for

Moderate images and video at scale

Apply pre-trained NSFW and brand-safety models to uploads and flag borderline content for human review.

Pricing checked Sep 2026

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About Clarifai

Clarifai, founded in 2013, is one of the longest-running AI platforms, now spanning vision, language, and audio. It hosts pre-trained models for recognition, OCR, content moderation, and face detection, and lets you train, evaluate, and version custom models on your own data through a dashboard or API.

Deployment flexibility is the differentiator: inference runs in Clarifai's cloud, in your own data center, at the edge, or fully air-gapped, which is why deployments appear in defense, retail, and media. The platform also covers data labeling, workflow orchestration, and usage monitoring, so one vendor can serve the path from annotation to production.

The Community plan is free with monthly operation limits, making it easy to test models before committing; paid usage-based plans and enterprise contracts sit above it. Expect some legacy complexity in the interface and budget time for onboarding.

  • Longest production track record among independent vision platforms
  • Deploys in cloud, on-prem, edge, or air-gapped environments
  • Covers labeling, training, evaluation, and hosting in one platform
  • Community plan is free to test before committing
  • Interface and docs carry a decade of legacy complexity
  • Usage-based costs are hard to forecast at scale
  • Smaller community and ecosystem than newer ML hubs

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Programs that detect, classify, and interpret visual data, from pretrained labeling APIs you can call this afternoon to annotation and training platforms for custom models. Listings flag deployment targets (cloud, edge, on-prem), accuracy baselines, and data-privacy posture.

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