Head-to-head · AI Image Annotation Tools
Roboflow vs Encord
Roboflow leads on 1 check, Encord on 0, and 1 is even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreRoboflow · 9.2/10
- Free planonly Roboflow
- Free trialonly Roboflow
Roboflow scores higher on our rubric for ai image annotation tools: 9.2 against 8.5 out of 10; our editors rank them #2 and #7.
Roboflow offers free plan; Encord doesn't.
Roboflow is the better fit for end-to-end dataset and model workflows. Encord is the better fit for high-quality multimodal annotation programs.
- Roboflow fits best
End-to-end dataset and model workflows
- Encord fits best
High-quality multimodal annotation programs
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Side by side
| Feature | Roboflow 9.2/10 Visit ↗ | Encord 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.5 |
| Ranking | #2 in AI Image Annotation Tools | #7 in AI Image Annotation Tools |
| Best for | End-to-end dataset and model workflows | High-quality multimodal annotation programs |
| Pricing model | Free plan + paid | Paid |
| Starting price | $79/mo | — |
| Free plan | ✓ (best) | — |
| Free trial | 14 days | — |
| Deployment | Cloud, Self-hosted, Mobile | Cloud, Self-hosted |
| Platforms | Web, iOS, Android | Web |
| Support | Email, Live chat, Community, Docs · 24/7 | Email, Docs |
| Compliance | SOC 2, HIPAA, PCI DSS | SOC 2, GDPR, HIPAA, SSO/SAML, 2FA |
| Integrations | 16 integrations | 9 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Roboflow 1/3 · Encord 1/3 | ||
| AI-assisted labeling | Not checked yet | Not checked yet |
| Review workflow | Not checked yet | Not checked yet |
| API access | ✓ | ✓ |
| Specs | ||
| Annotation types | bounding boxes, polygons, segmentation masks, classification labels, keypoints | bounding boxes, rotatable bounding boxes, polygons, bitmasks, polylines, keypoints, primitives, classifications |
| Export formats | Not checked yet | Not checked yet |
| Deployment | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Roboflow brings image annotation, dataset management, model training, evaluation, and deployment into one computer vision platform. It is aimed at developers, researchers, and enterprises managing image and video datasets, with support for… Read the review → |
Encord is a multimodal data platform for AI teams that manage, curate, annotate, and evaluate training data. It supports image, video, audio, text, documents, DICOM, NIfTI, LiDAR, and other data types, with web and API access. Image… Read the review → |
Strengths and trade-offs
Roboflow — where it wins
- Supports boxes, polygons, masks, classification labels, and keypoints
- AI-assisted labeling, hosted training, evaluation, and model deployment
- Exports datasets in JSON, XML, CSV, TXT, and 30+ other formats
Where it doesn't
- Public requires data and models to be open source on Roboflow Universe
- Private Core starts at $79/month with annual billing
- Enterprise pricing is custom rather than published
Encord — where it wins
- Supports image, video, audio, text, document, DICOM, and NIfTI annotation
- Offers custom ontologies, AI-assisted labeling, consensus, and quality control
- Connects through APIs, SDKs, and integrations across major cloud platforms
Where it doesn't
- There is no free plan
- Pricing uses a contact-sales model across the listed tiers
- VPC and on-premises deployments are listed only for Enterprise
- Roboflow9.2/10 · Free plan · 14-day trial
A broad computer vision workspace spanning annotation, training, evaluation, and deployment.
Visit RoboflowFull verdict → - Encord8.5/10 · Pricing on request
A broad annotation and data platform for complex multimodal AI programs.
Visit EncordFull verdict →
More comparisons
All AI image annotation tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





