Comparison

Doccano vs Supervisely

On the evidence we track, Supervisely leads this comparison with a composite score of 55/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Doccano40
★Supervisely55
Score
vioscaleAI score
Doccano40 / 100medium · 57%
Supervisely55 / 100medium · 74%
Pricing
Free tier
Doccano✓
Supervisely✓
Model
Superviselyfreemium
Price level
Doccanofree
Superviselyhigh
Starting price
Doccano–
Supervisely€199
Transparent
Doccano✓
Supervisely✓
Integrations
Count
Doccano0
Supervisely3
Security
Gdpr
Doccano–
Supervisely✓
Hipaa
Doccano–
Supervisely✓
Scorecard
Doccano4.6
Supervisely–
Soc2
Doccano–
Supervisely✓
Trust center
Adoption
Dependent repos
Doccano7
Supervisely–
Github stars
Doccano10,798
Supervisely–
Activity
Commits last 30d
Doccano0
Supervisely–
Release
Cadence days
Doccano10
Supervisely–
History
Doccano20 items
Supervisely–
License
Spdx
DoccanoMIT
Supervisely–
Language
Primary
DoccanoPython
Supervisely–
Content
Faq
Doccano5 items
Supervisely6 items

Capabilities

Feature-by-feature on the axes that matter for data labeling. “-” means undocumented, not absent.

Capabilities
Model assisted labeling
Doccano-
Supervisely✓
Programmatic labeling
Doccano✓
Supervisely✓
Rlhf preference data
Doccano-
Supervisely-
On prem private cloud
Doccano✓
Supervisely✓
Open source
Doccano✓
Supervisely✓
SOC2
Doccano-
Supervisely-

What each one is

The product in its own terms, so the numbers below have context.

Doccano

An open-source tool that enables humans to label text data for machine learning tasks like text classification, sequence labeling, and sequence-to-sequence problems. Users can prepare labeled datasets for applications such as sentiment analysis, named entity recognition, and text summarization.

Independently observed

Supervisely

Leader

Supervisely is a web-based platform for labeling images, videos, 3D point clouds, and medical images, with built-in AI-assisted annotation, neural network training, and model deployment capabilities. It supports on-premise and cloud deployments with Python SDK and REST API integration.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Doccano

Open source
as of verify ↗

Supervisely

Leader
from €199/moHybridFree tier30-day trial

Free tier for researchers and small teams; Pro from 199€/month; Enterprise custom pricing

  • CommunityFree
    • Image labeling
    • Video labeling (basic)
    • 3D point cloud labeling
    • Medical 3D labeling (basic)
    • Neural network integration
    • +3 more
  • ProFrom 199€/month with 30-day free trial
    • Full image labeling with AI assistance
    • Full video labeling with tracking
    • 3D point cloud labeling with interactive tools
    • Medical 3D labeling with DICOM support
    • Team collaboration and role-based access
    • +12 more
  • EnterpriseContact sales
    • All Pro features
    • Self-hosted deployment (on-premises)
    • Air-gapped deployment (offline mode)
    • Custom SSL certificates and DNS
    • Virus scanning and asset verification
    • +10 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Doccano✓
Supervisely✓
CLI
Doccano✗
Supervisely✓
Deployment
Cloud / SaaS
Doccano✓
Supervisely✓
Self-hosted
Doccano✓
Supervisely✓
Air-gapped
Doccano✗
Supervisely✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Doccano

Not documented yet.

Supervisely

Leader
7 total
  • Github
  • Gitlab
  • AWS
  • Azure
  • OpenID
  • LDAP
  • Google Cloud Storage
Independently observed
Still deciding?

Doccano or Supervisely: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.