Alternatives
Encord vs. V7
Encord is the top V7 alternative for teams building cutting-edge AI products. Our end-to-end data management platform efficiently creates high quality training datasets to improve AI model performance at scale without compromising speed or security.
Trusted by leading AI teams
Why leading AI teams choose Encord over V7
Complete annotation suite with native multimodal support
Annotate multimodal data such as video, image, DICOM, document, text, and audio files with AI-assisted labeling tools and RLHF workflows. Key differentiating features include native video annotation, customizable workflows, complex data structuring with nested ontologies, multimodal annotation interface with synchronized multi-file analysis, and more.
Consolidated platform for your entire data pipeline
Not just an annotation solution, Encord enables teams to consolidate data curation and annotation 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 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
Comparing Encord to V7
Annotation and RLHF
Native multimodal support (image, video, audio, document, text, and DICOM)
Limited
Multimodal annotation interface supporting RLHF workflows with synchronized multi-file analysis
Advanced workflow builder and orchestration
Complex ontology and classification structure
AI-assisted labeling with SOTA models
Intuitive UI
Unlimited integrations
Project scalability to 1 million+ data points
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
Data agents to integrate AI models into data workflows
Limited
Advanced team collaboration, quality control, and task management
Advanced features and security standards for complex data pipeline
Customized workflows
Orchestrate and accelerate your labeling data pipeline with advanced no-code workflow builders. Integrate SOTA models such as GPT-4o and Gemini or your own models directly into data workflows to automate data reviews, pre-labeling, data classification, filtering and more.
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.
Strict adherence to compliance standards
Rigorous compliance with industry standards to protect your most sensitive data. Safeguard personal information, protected health data, and valuable intellectual property through comprehensive security protocols and data handling practices that meet the highest regulatory requirements.
Case studies
Still not convinced? Read why our customers chose Encord
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 has native support for images, videos, audio, documents, text, and DICOM files in a single unified platform.
Unlike V7, Encord provides a single, fully integrated platform for managing all data types. This eliminates the engineering complexity of stitching and maintaining multiple siloed point solutions, hindering AI teams from achieving scale. Our unified approach streamlines workflows across image, video, document, text, and medical data in one cohesive environment, removing the technical debt and interface inconsistencies that create data fragmentation and governance issues when working with diverse data types in complex AI projects.
Encord provides more robust API/SDK options than V7, 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 offers more robust data quality management capabilities through Encord Active, which provides comprehensive tools for dataset bias detection, outlier identification, and quality metrics. These advanced tools help you identify and fix issues in your datasets, implementing a truly data-centric approach to AI development.
While both platforms support medical imaging, Encord offers more comprehensive support for healthcare AI applications with specialized DICOM support and advanced visualization capabilities. Encord's unified approach also makes it easier to work with multi-modal medical data, such as combining imaging with text reports, providing a more complete solution for healthcare AI development.
Encord offers comprehensive document and text annotation capabilities that integrate directly with its other modalities, enabling powerful cross-modal workflows. Encord's approach allows you to seamlessly work with documents alongside other data types. Encord also integrates state-of-the-art language models like GPT-4o and Gemini 2.5 to accelerate and enhance document annotation.
Migrating from V7 to Encord is straightforward with our dedicated migration tools and support team.
Yes. While V7 emphasizes its network of annotators, Encord provides access to trusted annotation service partners who can deliver high-quality labeling for any project type. More importantly, Encord's superior annotation tools, quality management features, and team collaboration capabilities enable your existing team to work more efficiently.
Take control of your ML pipeline with Encord
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.
