Kili Technology vs. Label Studio Comparison


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About Kili Technology is one unique tool to label, find and fix issues, simplify DataOps, and dramatically accelerate the build of reliable AI. At Kili Technology, we believe the foundation of better AI is excellent data. Kili Technology's complete training data platform empowers all businesses to transform unstructured data into high quality data to train their AI and deliver successful AI projects. By using Kili Technology to build training datasets, teams will improve their productivity, accelerate go-to-production cycles of their AI projects and deliver quality AI.	About The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies that need a data labeling and annotation solution	Audience Developers searching for a solution to label every data type and build custom UIs for computer vision processes
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Supported	Pricing No information available. Free Version Supported Free Trial Supported
Reviews/Ratings Overall 4.7 / 5 ease 4.8 / 5 features 4.5 / 5 design 4.4 / 5 support 4.6 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros Kili Technology could handle our main use cases even if they involved different data types, so pretty useful. The analytics dashboard is also very very complete so we could properly monitor the work of our annotators. I easily integrated the ML stack. was easy to orchestrate the training data pipeline + easy to collaborate with the team! Ontology and annotation interface super complete. It was very hard to find a tool to annotate the really long PDFs I wanted to label but I could perfectly do that with Kili. I discovered Kili with their Ocean challenge and I decided to keep using it. Good tool to work with a large team. We are >10 people in the team and even more labeler and we could all collaborate pretty well. They have really cool features to org the work and review. Support is reactive when you need them and quite qualified! They helped me overcome and issue that I had in less then 20 minutes, even for our OnPremise version! Thanks :) Cons Zoom level on the labeling interface is set to 100% which is not convenient if you label small resolution pictures. Would like to have more filtering options. It is not possible to make a dataset public. One thing that would really help would be to have multiple workspaces. The tool would be even more collaborative. Only the Python SDK is open source.
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported
Company Information Kili Technology Founded: 2018 New York / Paris kili-technology.com	Company Information Label Studio United States labelstud.io
Alternatives Label Your Data	Alternatives Ango Hub iMerit
Labellerr	Labellerr
Datature	Labelbox
SuperAnnotate	Gemini Enterprise Agent Platform Google
Labelbox View All	Amazon SageMaker Ground Truth Amazon Web Services View All
Categories AI Fine-Tuning Supported Data Annotation Supported Data Labeling Supported	Categories AI Fine-Tuning Supported Data Annotation Supported Data Labeling Supported Image Annotation Supported LLM Evaluation Supported RLHF Supported Video Annotation Supported
Data Labeling Features Human-in-the-loop Supported Labeling Automation Supported Labeling Quality Supported Performance Tracking Supported Polygon, Rectangle, Line, Point Supported SDK Supported Supports Audio Files Not Supported Task Management Supported Team Collaboration Supported Training Data Management Supported
Integrations Amazon S3 Not Supported Amazon SageMaker Not Supported ApertureDB Not Supported Azure Blob Storage Not Supported Docker Not Supported Flair Not Supported Galileo AI Not Supported Google Cloud Storage Not Supported Hugging Face Not Supported Lightly Not Supported Lightly Not Supported Modzy Not Supported Openlayer Not Supported Pachyderm Not Supported PostgreSQL Not Supported Redis Not Supported TensorFlow Not Supported Terraform Not Supported Tesseract Not Supported scikit-image Not Supported Show More Integrations View All 1 Integration	Integrations Amazon S3 Supported Amazon SageMaker Supported ApertureDB Supported Azure Blob Storage Supported Docker Supported Flair Supported Galileo AI Supported Google Cloud Storage Supported Hugging Face Supported Lightly Supported Lightly Supported Modzy Supported Openlayer Supported Pachyderm Supported PostgreSQL Supported Redis Supported TensorFlow Supported Terraform Supported Tesseract Supported scikit-image Supported Show More Integrations View All 25 Integrations
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