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Head-to-head · AI Data Labeling Tools

Dataloop vs Labelbox

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Dataloop #5 in AI Data Labeling Tools 8.7/10 Pricing on request ✓ 2 of 4 features Visit Dataloop
Labelbox #7 in AI Data Labeling Tools 8.5/10 Free plan Free plan✓ 2 of 4 features Visit Labelbox

Dataloop leads on 0 checks, Labelbox on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDataloop · 8.7/10
  • Free planonly Labelbox

Dataloop scores higher on our rubric for ai data labeling tools: 8.7 against 8.5 out of 10; our editors rank them #5 and #7.

Dataloop is the better fit for enterprise multimodal labeling programs. Labelbox is the better fit for image teams prioritizing quality control.

  • Dataloop fits best

    Enterprise multimodal labeling programs

  • Labelbox fits best

    Image teams prioritizing quality control

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Dataloop 8.7/10 Visit ↗ Labelbox 8.5/10 Visit ↗
At a glance
Editor score 8.7 8.5
Ranking #5 in AI Data Labeling Tools #7 in AI Data Labeling Tools
Best for Enterprise multimodal labeling programs Image teams prioritizing quality control
Pricing model Paid Free plan + paid
Starting price Pricing on request Free plan
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Email, Tickets, Docs Docs
Compliance SOC 2, ISO 27001, GDPR, SSO/SAML, 2FA SOC 2, GDPR, HIPAA
Integrations 6 integrations 5 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Dataloop 2/4 · Labelbox 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
  • Supports image, video, audio, text, PDF, LiDAR, GIS, and human-feedback data
  • Combines model-assisted annotation, active learning, and dataset versioning
  • Offers Python, JavaScript, and REST access plus cloud integrations
  • 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
Cons
  • Plan pricing requires contacting Dataloop directly
  • Its broad enterprise feature set may exceed narrower labeling needs
  • Cloud integrations focus on listed storage and container-registry services
  • The free tier is limited to 10,000 LBUs
  • JPEG is the listed image format
  • Image coverage may be narrower than broader multimodal requirements
Our verdict

Dataloop is an enterprise-focused AI development platform for managing unstructured data, building annotation workflows, integrating models, and orchestrating pipelines. It is designed for data engineers, data scientists, software…

Read the review →

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 →
  1. DataloopAI Data Labeling Tools 8.7Pricing on request
  2. LabelboxAI Data Labeling Tools 8.5Free plan

Strengths and trade-offs

  • Dataloop — where it wins

    • Supports image, video, audio, text, PDF, LiDAR, GIS, and human-feedback data
    • Combines model-assisted annotation, active learning, and dataset versioning
    • Offers Python, JavaScript, and REST access plus cloud integrations

    Where it doesn't

    • Plan pricing requires contacting Dataloop directly
    • Its broad enterprise feature set may exceed narrower labeling needs
    • Cloud integrations focus on listed storage and container-registry services

  • 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
  • Dataloop8.7/10 · Pricing on request

    A broad enterprise labeling platform with multimodal studios, active learning, and developer access.

    Visit DataloopFull verdict →
  • Labelbox8.5/10 · Free plan

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

    Visit LabelboxFull verdict →

More comparisons

All AI data labeling tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update