Label and curate video data 6x faster
Accelerate precise video data annotations without frame rate errors to build production-ready models faster using high-quality labeled videos.
Achieve high quality video annotation with granular tooling
Use precision automated object tracking and segmentation as well as polygons, polylines, bounding boxes and more to quickly annotate full-length videos across MP4, avi, mov, and WebM file formats.
“Setting up our labeling process with our previous solution took nearly two months and required extensive support. With Encord, we were operational in just two weeks, and then we went on vacation and got back, and the data was good.”
Rammohan Adabala
Principal Product Manager
Boost annotation efficiency and accuracy with native video rendering
Native rendering for seamless frame synchronization
Preserve temporal context to improve annotation quality and speed. Native video rendering uses 80% less storage boosting data pipeline efficiency.
Flexible ontologies for every use case
Create nested classifications with static, dynamic and relation attributes to capture real world scenarios in the granular detail and temporally evolving object behaviour.
Improve label quality and speed with AI-assisted video labeling
Customizable workflows for AI-assisted labeling
Integrate SOTA models or your own models directly into your data workflows to automate any data action such as reviews, pre-labeling, data classification, filtering and more.
Video native AI-assisted labeling with SAM 3
Access SAM 3 natively within Encord for model-assisted labeling to achieve faster and more accurate mask prediction and object tracking.
Instantly manage and curate millions of video files and frames
Manage millions of video files with ease
Explore and curate billions of video frames at scale with granular filtering, sort and search using quality metrics, custom metadata, and natural language queries.
Curate video files using quality metrics
Explore videos temporally by embeddings-based quality metrics to find the most valuable data for labeling and create diverse training datasets.
Supporting leading AI teams
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.
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.
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.
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.
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.
Enterprise-grade.
Built for scale.
Designed for reliable AI.
Built for scale.
Designed for reliable AI.
API/SDK-first. Zero data migration. Your data stays in your cloud.
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Frequently asked questions
It’s an AI-assisted platform designed for high-quality video labeling. It accelerates precise annotations without frame rate errors, enabling faster training of production-ready models.
Encord uses native video rendering to preserve temporal context, prevent frame-splitting issues, and reduce storage usage by up to 80%, boosting both speed and data pipeline efficiency.
Encord supports multi-view annotation, object tracking, related objects, rotatable bounding boxes, semantic segmentation, panoptic segmentation, and audio annotation.
Yes. With native SAM 3 integration, you can achieve faster and more accurate mask prediction and object tracking. Workflows allow automation of reviews, pre-labeling, classification, and filtering.
Get the data right
300+ of the best AI teams in the world use Encord. Join them.