Labelbox vs Encord

Labelbox8.5Visit Encord8.4Visit

Higher score Labelbox #7 in AI Data Labeling Tools 8.5/10 Free plan Free plan✓ 2 of 4 features Visit Labelbox

vs

Encord #8 in AI Data Labeling Tools 8.4/10 Pricing on request ✓ 2 of 4 features Visit Encord

• Labelbox fits best

  Image teams prioritizing quality control

• Encord fits best

  Multimodal teams needing advanced quality workflows

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Side by side

Feature	Labelbox 8.5/10 Visit ↗	Encord 8.4/10 Visit ↗
At a glance
Editor score	8.5	8.4
Ranking	#7 in AI Data Labeling Tools	#8 in AI Data Labeling Tools
Best for	Image teams prioritizing quality control	Multimodal teams needing advanced quality workflows
Pricing model	Free plan + paid	Paid
Starting price	Free plan	—
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Docs	Email, Docs
Compliance	SOC 2, GDPR, HIPAA	SOC 2, GDPR, HIPAA, SSO/SAML, 2FA
Integrations	5 integrations	9 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Labelbox 2/4 · Encord 2/4
Model-assisted labeling	✓	✓
Human review workflows	Not checked yet	Not checked yet
Custom ontologies	Not checked yet	Not checked yet
API access	✓	✓
Specs
Supported modalities	Not checked yet	Not checked yet
Deployment options	Not checked yet	Not checked yet
Our review
Pros	Model-assisted image pre-labeling supports faster annotation workflows Consensus, benchmarks, review, and monitoring support quality control APIs, Python SDK, and major cloud-storage integrations support data pipelines	Annotates image, video, audio, text, documents, DICOM, and NIfTI AI-assisted labeling, consensus workflows, and quality-control features APIs, SDKs, and integrations across major cloud storage platforms
Cons	The free tier is limited to 10,000 LBUs JPEG is the listed image format Image coverage may be narrower than broader multimodal requirements	No free plan Pricing requires contact with sales Enterprise deployment options are limited to higher-tier plans
Our verdict	Labelbox is a cloud platform for creating and managing training data for AI systems. It is aimed at machine-learning teams, AI labs, and enterprises developing computer-vision, language, multimodal, and generative-AI systems. Its image… Read the review →	Encord is a multimodal data platform for AI teams that manage, curate, annotate, and evaluate training data. It covers image, video, audio, text, documents, DICOM, NIfTI, LiDAR, and other data types. Its annotation toolkit includes… Read the review →

Strengths and trade-offs

• Labelbox — where it wins

  • Model-assisted image pre-labeling supports faster annotation workflows
  • Consensus, benchmarks, review, and monitoring support quality control
  • APIs, Python SDK, and major cloud-storage integrations support data pipelines

  Where it doesn't

  • The free tier is limited to 10,000 LBUs
  • JPEG is the listed image format
  • Image coverage may be narrower than broader multimodal requirements

• Encord — where it wins

  • Annotates image, video, audio, text, documents, DICOM, and NIfTI
  • AI-assisted labeling, consensus workflows, and quality-control features
  • APIs, SDKs, and integrations across major cloud storage platforms

  Where it doesn't

  • No free plan
  • Pricing requires contact with sales
  • Enterprise deployment options are limited to higher-tier plans

• Labelbox8.5/10 · Free plan

  A quality-focused image labeling platform with model assistance, curation, and team workflows.

  Visit LabelboxFull verdict →
• Encord8.4/10 · Pricing on request

  Advanced annotation, quality workflows, and evaluation for multimodal AI data.

  Visit EncordFull verdict →