What is Doccano?
A web-based data labeling tool that enables users to annotate text for machine learning tasks including text classification, sequence labeling, and sequence-to-sequence tasks. Projects can be set up by uploading datasets and working through annotations collaboratively via a browser interface or REST API.
Doccano pricing
We don't have Doccano's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- On-premise
- Self-hosted
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Doccano alternatives
Other data labeling we track, ranked by the same independent score.
- Scale AIDataset preparation and AI model assurance platform for enterprise systemslow · 45%
- CVATA comprehensive data annotation platform designed for computer vision teams to convert raw visual data into training-ready datasetslow · 26%
- iMeritData labeling and model fine-tuning platformlow · 14%
- AppenDeliver human-validated data to train advanced AI systems with nuance and contextual understanding at scalelow · 13%
- Kili TechnologyPlatform for building high-quality training datasets through collaborative annotation and labelingmedium · 55%
- Amazon SageMaker Ground TruthService that helps organizations customize AI models through human feedback and expert guidance to improve accuracy and performance for specific use casesmedium · 54%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Doccano, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 94 | 0.05 | 4.9 | ✓ |
| Stars | 76 | 0.03 | 2.0 | ✓ |
| Security score | 46 | 0.04 | 1.9 | ✓ |
| Dependent projects | 15 | 0.06 | 0.9 | ✓ |
| Capabilities | 0 | 0.08 | 0.0 | - |
| Integrations | 0 | 0.07 | 0.0 | ✓ |
| Development activity | 0 | 0.09 | 0.0 | ✓ |
| Security posture | 0 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 0 | mediumsource · 2026-08-18 · 65% |
Adoption
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 0 | mediumsource · 2026-08-20 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-08-26 · 95% |