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Head-to-head · Active Learning Tools

Encord vs LightlyStudio

  • Updated Sep 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Encord #5 in Active Learning Tools 7.1/10 Pricing on request Visit Encord
LightlyStudio #6 in Active Learning Tools 6.9/10 Free plan Free plan Visit LightlyStudio

Encord leads on 0 checks, LightlyStudio on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreEncord · 7.1/10
  • Free planonly LightlyStudio

Encord scores higher on our rubric for active learning tools: 7.1 against 6.9 out of 10; our editors rank them #5 and #6.

LightlyStudio offers free plan; Encord doesn't.

Encord is the better fit for teams needing review-heavy multimodal labeling. LightlyStudio is the better fit for teams selecting and labeling image or video datasets.

  • Encord fits best

    Teams needing review-heavy multimodal labeling

  • LightlyStudio fits best

    Teams selecting and labeling image or video datasets

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. How we rank.

Side by side

Feature Encord 7.1/10 Visit ↗ LightlyStudio 6.9/10 Visit ↗
At a glance
Editor score 7.1 6.9
Ranking #5 in Active Learning Tools #6 in Active Learning Tools
Best for Teams needing review-heavy multimodal labeling Teams selecting and labeling image or video datasets
Pricing model Paid Free
Starting price Not published Not published
Free plan — ✓ (best)
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web, Windows, macOS, Linux
Support Email, Docs Email, Community, Docs
Compliance SOC 2, GDPR, HIPAA, SSO/SAML, 2FA ISO 27001
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Specs
Query strategies Not published Not published
Human annotation workflow Not published Not published
Supported data types Not published Not published
Model frameworks Not published Not published
Deployment options Not published Both
Our review
Pros
  • Supports annotation across image, video, audio, text, documents, DICOM, and NIfTI
  • Combines AI-assisted labeling with consensus and customizable review workflows
  • Offers APIs, SDKs, cloud integrations, and enterprise deployment options
  • Combines sampling, filtering, deduplication, review, and evaluation
  • Supports classification, detection, and segmentation annotation
  • Offers Python APIs, plugins, and cloud or on-premise deployment
Cons
  • No free plan is offered, and published pricing requires contacting sales
  • Single sign-on, SLA support, VPC, and on-premises deployment are Enterprise features
  • The broad feature set may be more than teams labeling a single data type need
  • Its verified annotation focus is image and video, not text workflows
  • Multi-user controls and shared datasets are Enterprise capabilities
  • Model-assisted labeling relies on SAM3 and LightlyTrain plugins
Our verdict

Encord is a multimodal data platform for AI teams that curate, annotate, and evaluate training data. It supports image, video, audio, text, documents, DICOM, NIfTI, LiDAR, and other data types. Teams can define custom ontologies with…

Read the review →

LightlyStudio is an open-source workflow tool for computer vision teams managing image and video datasets. It brings curation, annotation, quality review, embeddings, model evaluation, export, and Python access into one environment. Solo…

Read the review →
  1. EncordActive Learning Tools 7.1Pricing on request
  2. LightlyStudioActive Learning Tools 6.9Free plan

Strengths and trade-offs

  • Encord — where it wins

    • Supports annotation across image, video, audio, text, documents, DICOM, and NIfTI
    • Combines AI-assisted labeling with consensus and customizable review workflows
    • Offers APIs, SDKs, cloud integrations, and enterprise deployment options

    Where it doesn't

    • No free plan is offered, and published pricing requires contacting sales
    • Single sign-on, SLA support, VPC, and on-premises deployment are Enterprise features
    • The broad feature set may be more than teams labeling a single data type need

  • LightlyStudio — where it wins

    • Combines sampling, filtering, deduplication, review, and evaluation
    • Supports classification, detection, and segmentation annotation
    • Offers Python APIs, plugins, and cloud or on-premise deployment

    Where it doesn't

    • Its verified annotation focus is image and video, not text workflows
    • Multi-user controls and shared datasets are Enterprise capabilities
    • Model-assisted labeling relies on SAM3 and LightlyTrain plugins

More comparisons

All active learning tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Last updated · How we research and update