Choose the plan that fits your needs

Free

Ideal for early-stage startups and academics/researchers
StartupAcademic
Image editor (supports image, video, PDF, and DICOM upload)
Project management
Team and user management
Integrations with AWS, GCP, and Azure
On-premise data support
Simple analytics
Up to 4 users
Up to 50.000 items
Email support

Pro

Get ready to scale your most sophisticated AI projects and MLOps needs.
Request demo

All of Free +

Annotation services
Video, text, audio, and LiDAR editors
Tiled and multilayer image editors
AI data management and curation
Data versioning and debugging
Model management and  versioning
Python SDK
Advanced insights
Unlimited users
AI customer success

Enterprise

Best suited for well-established, recurring, and high-volume AI projects
Contact sales

All of Pro +

Annotation services with guaranteed SLAs
PDF, DICOM, time series, HTML, or custom editors
Custom integrations
MLOps toolkit
SSO and MFA
Dedicated AI solutions manager
Dedicated pipeline engineer
ML consulting
Unlimited annotations
Enterprise customer support (24/7)
Join hundreds of revolutionizing organizations in building disruptive AI products

Why leading organizations choose SuperAnnotate

60%
Faster time to model
96%
More accurate labels
12x
More cost-efficient
motorola
SuperAnnotate’s platform is incredibly robust and easy-to-use. Their Data Operations team is very thorough, proactive, easy to engage, and acts as a valuable extension of Motorola Solutions’ data operations.
Jason Lohner
Senior Manager, AI Data at Motorola Solutions

Compare plans

Data Studio

Annotation Software
Free
Pro
Enterprise
Image editor (supports image, video, PDF, and DICOM upload)
Tagging, nested classification, point labels, bounding boxes, polygons, polylines, skeletons, cuboids, ellipses, rotated boxes, and segmentation (instance, semantic, and panoptic).
Image editor (supports high-resolution tiled and multilayer files)
Tagging, nested classification, point labels, bounding boxes, polygons, polylines, skeletons, cuboids, ellipses, rotated boxes, and segmentation (instance, semantic, and panoptic).
Video editor
Tagging, nested classification, interpolation and tracking of point labels, bounding boxes, polygons, polylines, and skeletons.
Text editor
Nested classification and sentiment analysis, named-entity recognition, text summarization, and translation.
3D point cloud (radar, LiDAR)
3D bounding boxes and object tracking.
Audio
Classification, nested classification, region segmentation, and transcription.
PDF (document)
Document categorization and nested classification.
DICOM (including 3D volumetric)
3D view and grid view. Tools: summarization, angle detection, point labels, bounding boxes, and ellipses.
Time series
Time-series categorization and nested classification.
HTML/Website
HTML categorization and nested classification.
Custom editor upon request
Get a custom editor that best fits your needs.
Annotation Services
Free
Pro
Enterprise
Vetted annotation teams
No crowdsourcing! Work only with specialized, professionally managed, and trained annotation service workforces that can handle the most challenging annotation projects. Choose from a curated selection of over 400 annotation service companies.
SuperAnnotate annotation project manager
You don't have to manage the project yourself. We can organize all the data processes and setups and manage your annotation team.
Basic script writing
Our team can help your data engineers with all the conversion and automation setups so they can have more time to focus on ML algorithms instead of pipeline implementations.
Language support (18 languages)
Our vetted teams speak up to 18 languages and can support less popular European and Asian languages upon request.
Advanced QA
SuperAnnotate can provide you with advanced QA, including our proprietary QA methods.
Medical doctor annotators
We have over 300 medical doctors in the United States, Europe, and Asia that can handle various medical use cases such as radiology, dermatology, oncology, pathology, dentistry, and more.
Service-level agreements
We never leave our enterprise clients without SLAs. We work with you to better understand the annotation accuracy requirements and commit to meeting those requirements with guaranteed SLAs.
Pipeline engineering support
Our team builds ML pipelines daily. We can help you improve your existing ML pipelines to avoid future pitfalls when scaling your ML applications.
MLOps support
Based on thousands of successfully completed annotation projects, our team will help you set up the most efficient pipelines for your velocity, pricing, and quality requirements while avoiding common mistakes and pitfalls, significantly increasing the success rate of your ML projects.
Project and Quality Management
Free
Pro
Enterprise
Team and role management
Get your annotations across different user roles with a multi-level process for a full quality assurance review. Assign a role to each user and limit their access within teams and projects.
Annotation quality management
Get a comprehensive overview of each of your projects using the analytics dashboards. Use queries to filter out low-quality annotations and correct them in bulk.
Project and performance management
Manage project and user performance. Assign projects or folders to annotators and QAs and track their progress using the analytics dashboard.
Advanced consensus
Customize the consensus score and set up custom triggers to avoid redundant annotations. Query the dataset based on the consensus score and compare the accuracy score of the annotators using the advanced dashboards.

ML Studio

AI Data Management and Curation
Free
Pro
Enterprise
Data filtering and query system
Filter and find relevant data based on the annotation metadata information and model predictions output (probability, intersection over union, etc.).
Limited
Data subseting and versioning
Create subsets from the filtered data, run queries in the existing subsets, version those subsets, and productize your ML experiment directly from the UI.
Item and instance view
Quickly check the filtered data on the grid. Use the instance view to zoom in on each object and curate data to correct labels 5x faster.
Advanced data insights
Understand the trends in the annotations and model predictions based on any variable, such as class names, annotators, and more. Compare the trends and analyze model performance based on accuracy, intersection over union, annotation time, and more.
Data and model comparison
Use your model predictions in SuperAnnotate to version and compare the accuracy of different models. Find edge cases using the query system, correct annotations in bulk, and improve your model accuracy.
Similarity search
Use similarity search to find similar items in your dataset and assign them to annotators. Visualize and find various clusters and outliers in your dataset.
Random and smart sampling
Manage and subset your dataset by randomly sampling items based on a query. Use smart sampling to select the most diverse items in the dataset to make sure not to annotate similar items or duplicates.
MLOps and Automations
Free
Pro
Enterprise
Python SDK
All functionalities available in the UI can be performed with the SuperAnnotate Python SDK. You can create projects, set up integrations, upload annotations, run predictions, filter and download datasets, and more.
Model training and auto inference
Create models using your annotated data. Fine-tune the model based on your dataset and class structure, and use the fine-tuned model to automate the annotation process.
Model versioning and comparison
Use the Neural Network to create models. Version each model and track their accuracy parameters. Compare the various versions to understand model improvements better.
Webhooks
Set up webhooks for changes done on items, folders, and projects. Use the webhook history to be informed of any changes in the platform.
MLOps toolkit
Use our orchestration platform to schedule trigger custom Python snippets and automate any complex MLOps pipeline. Use the resources of our MLOps engineers to streamline and automate your ML pipelines.
Integrations and Security
Free
Pro
Enterprise
Data on-prem
Integrate SuperAnnotate with your own cloud storage and never move the data from your own premises.
AWS S3
Create an AWS integration to connect data from your AWS S3 buckets to SuperAnnotate. SuperAnnotate will have read-only access to your data.
GCP
Create a GCP integration to connect data from your GCP storage to SuperAnnotate. SuperAnnotate will have read-only access to your data.
Microsoft Azure
Create an Azure integration to connect data from your Azure storage to SuperAnnotate. SuperAnnotate will have read-only access to your data.
BigQuery and Redshift
"Connect your data warehouse to SuperAnnotate and sync the data between the platforms periodically."
Snowflake
Connect Snowflake to SuperAnnotate and sync the data between the platforms periodically.
Databricks
Connect Databricks to SuperAnnotate and sync the data between the platforms periodically.
More integrations upon request
Enhance your MLOps pipeline with any AI tool. SuperAnnotate's MLOps experts are ready to assist you.
Two-factor authentication
All SuperAnnotate users can enable two-factor authentication to make their accounts even more secure.
Single sign-on
Manage employee access at scale with single sign-on.

Compare SuperAnnotate in different software categories

g2
Image recognition →
94/100
g2
Data labeling  →
98/100
g2
MLOps software →
93/100

Frequently asked questions

Does SuperAnnotate provide annotation services in addition to the tool?
Can I start a free trial of paid plans?
How is pricing determined for the tool?
How do you charge for the annotation services?
Do I need to move my data from my own premises to SuperAnnotate?
How does SuperAnnotate protect my data?
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