Alternatives
Encord is the leading Roboflow alternative for teams building cutting-edge computer vision and physical AI applications. Create high-quality training data with advanced annotation capabilities and enterprise-grade scale and security.
Trusted by 200+ AI research & engineering teams
Evaluating Roboflow alternatives? Leading AI teams focus on: enterprise-grade annotation features for visual AI models and applications, and managed end-to-end platform unifying data curation, annotation, and model evaluation that eliminate infrastructure costs while accelerating time-to-production.
Advanced annotation suite for the most complex computer vision projects
Annotate with precision using Encord's AI-assisted labeling, advanced object tracking, native video rendering without downsampling, and frame-by-frame analysis. Build sophisticated annotation schemas with complex nested ontologies and dynamic attributes. Integrate SOTA computer vision models such as SAM2, YOLO and more into training data preparation workflows to automate and accelerate image and video annotation processes.
Consolidated platform for your entire data pipeline
Not just an annotation solution, Encord enables teams to consolidate data curation, annotation, and model evaluation workflows into one platform. Eliminate the need to build fragmented data management infrastructure. Explore and visualize data with advanced natural language search. Evaluate and validate models with Encord Active to prioritize the most valuable data for model training and fine-tuning.
Enterprise platform with future-proof scalability
Transform petabytes of multimodal data with Encord's highly scalable architecture. Upload data once and leverage it across unlimited projects, significantly reducing storage overhead and management complexity. Comprehensive Python SDK enables teams to build sophisticated automated pipelines that seamlessly integrate with existing MLOps stacks.
KEY FEATURES
Annotation features
Native video rendering with object tracking
Limited
Complex ontology and classification structure
LiDAR and 3D point cloud annotation
Advanced workflow builder and orchestration
Native multimodal support (image, video, audio, document, text, and DICOM)
AI-assisted labeling with SOTA models
Medical imaging (DICOM/NIfTI) annotation
Limited
Data management and curation
Complete platform for data curation, management, and visualization
Visual data exploration and advanced natural language search
Limited
Model testing and evaluation
Project scalability to 1 million+ data points
Data agents to integrate AI models into data workflows
Limited
Advanced team collaboration, quality control, and task management
Enterprise features
Dedicated support (SLAs, Slack channel, ...)
Full SOC2, HIPAA, GDPR compliance
Team collaboration and QA workflows
Limited
Custom deployment options
Limited
Customizable workflows with agent integration
Create workflows that match your annotation process and team structure with Encord's no-code builders. Integrate state-of-the-art models such as GPT-4o and Gemini Pro or your own models into data workflows to automate data reviews, pre-labeling, data classification, filtering and more. Our advanced workflow capabilities support complex quality assurance processes, including consensus-based reviews to ensure the highest data quality.
API/SDK for programmatic access to Encord
Leverage our customizable SDK to interact with the Encord platform programmatically. Automate data pipelines that integrate with existing MLOps stacks. Upload data or integrate with cloud storage, access and manage projects, datasets, ontologies and labels within the platform via API.
Enterprise-grade security and compliance
Safeguard your most sensitive data with Encord's rigorous security standards, including SOC2 Type II certification, HIPAA compliance, and GDPR compliance. Our platform features comprehensive audit trails, robust encryption protocols, and role-based access controls.
Case studies
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Getting started with Encord and integrating it into our workflow was really fast. The thing that I find the most valuable is the flexibility of how we can integrate the Encord pipeline into our own pipeline.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Getting started with Encord and integrating it into our workflow was really fast. The thing that I find the most valuable is the flexibility of how we can integrate the Encord pipeline into our own pipeline.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
Encord provides native video rendering with advanced object tracking, no downsampling, and precise frame-by-frame analysis. This enables significantly faster and more accurate video annotation while maintaining the highest quality for your computer vision projects. Roboflow primarily works by extracting frames from videos, which lacks the temporal understanding and efficiency of Encord's approach.
Yes. Encord offers comprehensive support for LiDAR point clouds with native 3D visualization, annotation tools, and sensor fusion capabilities. This makes Encord essential for teams developing autonomous vehicle AI, robotics, and other Physical AI applications.
Encord provides infinitely more flexible ontologies and data structuring capabilities. With Encord, you can create complex hierarchical classification structures with unlimited depth and implement dynamic attributes that evolve throughout videos. This powerful capability enables sophisticated annotation schemas that match the complexity of real-world computer vision applications.
Encord provides robust API/SDK options, featuring a comprehensive Python API and SDK that allows developers to programmatically access all platform functionalities. This enables seamless integration with existing MLOps toolstacks and custom workflows.
Encord delivers enterprise-grade security features including comprehensive audit trails, robust encryption, and compliance with SOC2, HIPAA, and GDPR standards. Our platform also provides advanced team collaboration tools, quality control workflows, and annotator training capabilities that far exceed Roboflow's basic collaboration features, making Encord the clear choice for organizations with rigorous security and compliance requirements.
Encord provides integrated model evaluation through Encord Active. This enables you to test models against your data, automatically identify edge cases, and prioritize the most valuable data for relabeling..
Migration strategies vary based on data volume, existing workflows, and team requirements. Successful transitions typically involve: (i) Data export and validation processes, (ii) Workflow recreation and optimization, (iii) Team training and adoption planning, and (iv) Gradual transition with parallel operations.
Encord provides dedicated migration tools and white-glove expert support to ensure a smooth transition from Roboflow.
Enterprise teams should evaluate annotation platforms based on five critical factors: infrastructure management (managed vs self-hosted maintenance overhead), multimodal capabilities (support for image, video, medical imaging), enterprise security and compliance (SOC2, HIPAA, GDPR certifications), workflow automation and quality control (consensus reviews, automated error detection, performance analytics), and integration capabilities (API/SDK robustness, MLOps stack compatibility). Teams scaling to production environments typically prioritize platforms that eliminate DevOps overhead while providing advanced collaboration tools and dedicated customer support.
Forget fragmented workflows, annotation tools, and Notebooks for building AI applications. Encord's Data Development platform accelerates every step of taking your model into production.
