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Video Annotation Tool

Generate high-quality datasets from video files and rapidly train your models for the real world. With support for very long videos, handle projects involving 100,000+ frames and multiple objects per frame, breaking new ground in dataset comprehensiveness and realism.

With redesigned navigation, smart tracking, and adjustable annotations, enhance your productivity and precision.

Video Annotation Tool

Séraphin G.

Small business (50 of fewer employees)

Validated Reviewer Verified User Source: Organic

Robbert R.

Small business (50 or fewer employees)

Validated Reviewer Verified User Source: Organic

Label smart, not hard

Experience seamless labeling with a suite of tools including bounding boxes, polygons, and segmentation. Our platform allows for easy navigation through videos, featuring advanced zooming, precise frame-by-frame selection, and robust tracking. Perfect for ensuring detailed and accurate annotations, this tool streamlines the labeling workflow, saving you time and effort.

.3gp, .m4v, .mov, .mp4, .webm support

4K Large formats support

Precise frame selection

Smart Tracking


Non-integer frame support


API & Python SDK

Effortless and error-free, high-quality video annotations

Review your labels and collaborate with your team using our Explore view. Address comments and issues directly within the video annotation tool, enhancing the quality of your datasets. Implement robust quality strategies through human review, programmatic quality assurance using plugins, or comparison metrics.

Explore view for quality

User permission

Programmatic QA >

Advanced quality metrics

Plugins >

Seamless integration with sophisticated infrastructure

Store your training data securely on our platform or effortlessly connect to popular cloud storage providers like Azure, Google, or AWS. Our flexible integration options ensure a smooth integration with your existing ML stack, streamlining your entire machine learning pipeline. With Kili Technology's video annotation tool, you possess the ultimate toolkit to optimize your labeling processes and construct powerful datasets.

Single Sign On (SSO)

Remote storage

API & Python SDK

Seamless integration with sophisticated infrastructure

They Trust Us

"Kili's customer support is best in-class. We solve issues much faster and it has a direct impact on our performance."

Andrea Colonna
Andrea ColonnaHead of Data, Jellysmack

"Great companies like Kili Technology, [...] have already adopted this data-centric AI approach."

Andrew Ng
Andrew NgData-centric AI Influencer

"Kili is bringing added value in the management of our projects and this is quality."

Gilles Henaff
Gilles HenaffHead of AI, Thales Las France

"Kili enables us to improve our models’ performance and scale our AI projects as fast as our business needs."

Andrea Colonna
Andrea ColonnaHead of Data, Jellysmack

"We are very satisfied with our collaboration with Kili. We saw a performance improvement of our model of 3.5%"

Marie de Léséleuc
Marie de Léséleuc Director of Analytics and Data Science, Eidos-Montréal
Frequent questions

Frequent questions

What are the labeling tasks you can do on video?

With Kili Technology, our video annotation tool allows you to run all labeling tasks on videos: object detection, image segmentation, box annotation, track objects, image classification. And you can do them with a selection of tools: bounding boxes, polygons, semantic segmentation, and much more.

How can you use video data to train machine learning models?

Video files are essential when training a machine learning model. If you are building computer vision projects, you need a video annotation tool to do data annotation on your video data. By using video annotation tools, you will be able to annotate a video and create high quality training data. You can then build a high-quality dataset of videos with all sorts of annotation, and use this dataset to train you computer vision model.

What are the labeling formats supported by Kili Technology?

Kili Technology, as a training data labeling platform, supports labeling tasks on all asset types: image, videos, documents (pdfs), raw text, conversation, geospatial files, etc. On these assets, you can run all labeling tasks: image classification, video classification, bounding boxes, polygons, points, lines, object tracking, object detection, semantic segmentation, classification, named entity recognition, etc.

How can you annotate a video on Kili Technology?

First, you can upload your videos in various formats to our platform. MP4, MOV, MKV, WEBM, even a YouTube video can be uploaded to our software natively. Then, you can use our various video annotation tools and key features to start data annotation. On our video editor UI, use semantic segmentation, bounding boxes or any other tool to add annotations.

How is Kili Technology different from other image and video annotation and tools?

Kili Technology platform is different because we put quality at the core of our product. Many low-cost labeling tools focus on improving labeling productivity, which we do as well, but disregard the focus on creating quality training data. For instance, you can inspect the data distributions of your annotation and detect mistakes. Kili Technology is a training data platform where the annotation process is dedicated to data quality.

How does Kili Technology ensure data security in my annotation process?

Kili Technology as an image annotation tool is fully secure with a SOC2, ISO 27001 & HIPAA certification. We put a high priority on privacy preserving images, as well as any kind of protection against bias (perceived gender presentation, cultural and racial representation, etc). We also provide different deployment options to fit the data security needs of our customers. Note that data management options may vary depending on your hosting mode (Cloud or On-premise).

Is Kili Technology providing automatic annotation?

Kili Technology's API is accessible to our users. Therefore, you can connect your machine-learning model to generate pre-annotations. We also support segmentation tasks augmented with the Segment Anything Model (SAM) and any other foundation model with prompt engineering or segmentation model based on input prompts.

Is Kili Technology an open-source software?

Kili Technology is not an open-source software. However, you can use our free plan to do image annotation and computer vision tasks, use our geospatial tools & segmentation masks, and do everything needed to output multiple valid masks & training data into powerful datasets and in the end, powerful segmentation models. Note that when using our free plan, you may not benefit from all our various tools at 100% of their capacity.

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