Encord
Encord: A broad annotation and data-quality platform for enterprise AI programs. Ranked #10 of 28 in Image Annotation Software by our editors (8.1/10); pricing: Pricing on request; best for quality-focused enterprise annotation programs.
At a glance
- Editor score8.1 / 10
- PricingPricing on request
- Best forQuality-focused enterprise annotation programs
- Free planNo
- Model-assisted labelingYes
- Facts checked20 Sep 2026
Where it wins
- Supports annotation across image, video, audio, text, documents, DICOM, and NIfTI
- Combines custom ontologies with consensus and quality-control workflows
- Offers APIs, SDKs, cloud integrations, and enterprise deployment options
Where it doesn't
- Pricing uses a contact-sales model
- Advanced deployment options are reserved for the Enterprise tier
- Its broad feature set may exceed the needs of narrowly focused annotation teams
Our verdict on Encord
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. Annotation capabilities include bounding boxes, rotatable bounding boxes, polygons, bitmasks, polylines, keypoints, primitives, classifications, and attributes. The platform is aimed at organizations that need structured labeling, review, dataset management, and model evaluation in one environment.
The published plans show three tiers. Starter includes an image and video annotation toolkit, complex and dynamic ontologies, customizable workflows, and self-serve support. Team adds data agents, performance analytics, model evaluation, and onboarding support. Enterprise adds multiple workspaces, single sign-on, enterprise SLA and support, plus VPC and on-premises deployments. Pricing follows a contact-sales model, so buyers should compare their required collaboration, evaluation, support, and deployment capabilities against the relevant tier.
Encord’s strongest fit is a quality-focused enterprise annotation program that needs more than basic labeling. AI-assisted labeling, model prediction import, consensus workflows, dataset querying and filtering, image duplication detection, and cloud storage integrations support a broader data lifecycle. API and SDK access extends to projects, datasets, and labels, while integrations include AWS, GCP, Azure, OTC, Wasabi, MinIO, Oracle, Cloudflare, and CoreWeave. Teams seeking a focused, simpler annotation tool may find this breadth unnecessary; organizations managing varied modalities, custom ontologies, and formal quality workflows should consider Encord.
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Encord pricing
All 3 Encord plans and prices →
Encord fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Annotation types | bounding boxes, rotatable bounding boxes, polygons, bitmasks, polylines, keypoints, primitives, classifications |
| Image formats | Not verified |
| Model-assisted labeling | Yes |
| Dataset export | JSON, COCO |
| Team collaboration | Yes |
| API access | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, GDPR, HIPAA, SSO/SAML, 2FA |
| Support | Email, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 9 integrations: AWS, GCP, Azure, OTC, Wasabi, MinIO … See all → |
| Pricing | Pricing on request (source) |
| Website | encord.com |
| Facts checked | 20 Sep 2026 |
Encord integrations
Encord lists 9 integrations on its own site.
- AWS
- GCP
- Azure
- OTC
- Wasabi
- MinIO
- Oracle
- Cloudflare
- CoreWeave
Alternatives to Encord
- PixanoA flexible open-source choice for teams annotating 2D and 3D vision datasets.9.0
- CVATA broad CV workflow spanning manual, AI-assisted, collaborative, and programmatic annotation.8.9
- Label StudioFlexible image annotation with open-source deployment, AI assistance, and broad exports.8.8
Also Ranked In
Encord is ranked in 7 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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