Label Studio
0
Label Studio is an open-source tool for labeling and annotating a variety of data types, including images, text, audio, and video. It supports various projects and users, offering flexible deployment options.
Large Language Models (LLMs)
AI Recording
AI Audio Editing
Storyboard AI
#data labeling
#open-source tool
#machine learning
#data science
#text annotation
#image labeling
#audio tagging
#video annotation
#collaboration platform
#AI training data
#interactive labeling
#model evaluation
#pre-labeling
#data annotation tool
#community version
#enterprise solution
#multi-user support
#annotation software
#quality training data
#data integration
...
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Label Studio is an open-source tool for labeling and annotating a variety of data types, including images, text, audio, and video. It supports various projects and users, offering flexible deployment options.
Large Language Models (LLMs)
AI Recording
AI Audio Editing
Storyboard AI
#data labeling
#open-source tool
#machine learning
#data science
#text annotation
#image labeling
#audio tagging
#video annotation
#collaboration platform
#AI training data
#interactive labeling
#model evaluation
#pre-labeling
#data annotation tool
#community version
#enterprise solution
#multi-user support
#annotation software
#quality training data
#data integration
...
Featured
What is Label Studio?
Label Studio is a robust open-source data labeling tool designed to handle various data types such as text, images, audio, and video. It enables data scientists and machine learning engineers to create high-quality training data. The platform offers interactive labeling, model evaluation, and the integration of popular ML models for pre-labeling tasks. Label Studio supports multi-user collaboration and provides both community and enterprise versions to suit different needs.
Who will use Label Studio?
- Data Scientists
- Machine Learning Engineers
- Data Analysts
- Academia and Researchers
- AI Engineers
How to use the Label Studio?
- Step1: Visit the official Label Studio website.
- Step2: Download and install Label Studio.
- Step3: Create a new project.
- Step4: Import your data into the project.
- Step5: Choose or create a labeling configuration.
- Step6: Start labeling your data.
- Step7: Review and export your labeled data.
Platform
- web
- mac
- windows
- linux
Label Studio's Core Features & Benefits
The Core Features
- Supports multiple data types
- Interactive labeling
- Model evaluation integration
- Multi-user collaboration
- Flexible deployment options
The Benefits
- Enhances data quality
- Streamlines labeling workflows
- Supports collaborative projects
- Suitable for various industries
- Open-source and flexible
Label Studio's Main Use Cases & Applications
- Preparing training data for computer vision models
- Natural language processing tasks
- Speech and voice model training
- Video data annotation
- Educational research and projects
Label Studio's Pros & Cons
The Pros
Supports a wide range of data types for labeling including images, audio, text, video, and time series.
Open-source with active community support and contributions.
Integrates well with machine learning pipelines via APIs and Python SDK.
Includes ML-assisted labeling features to speed up data annotation.
Highly configurable and adaptable to different workflows.
Cloud storage integration for scalable data management.
The Cons
Requires technical knowledge to install and configure, not as straightforward for non-technical users.
Some advanced features may require additional setup and familiarity with ML workflows.
The platform does not provide native iOS or Android apps, limiting mobile accessibility.
Label Studio's Pricing
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | |
| Is credit card required | No |
| Paid from | |
| Has lifetime plan | No |
| Billing frequency |
FAQs of Label Studio
Label Studio Company Information
- Website: https://labelstud.io
- Company Name: HumanSignal
- Support Email: NA
- Facebook: NA
- X(Twitter): NA
- YouTube: NA
- Instagram: NA
- Tiktok: NA
- LinkedIn: NA
Analytic of Label Studio
Visit Over Time
Monthly Visits
234.2k
Avg Visit Duration
00:01:39
Page Per Visit
2.20
Bounce Rate
43.82%
Aug 2025 - Oct 2025 All Traffic
Geography
Top 5 Regions
United States
15.13%
China
8.9%
India
6.52%
Germany
5.22%
Russia
4.62%
Aug 2025 - Oct 2025 Worldwide Desktop Only
Traffic Sources
Search
50.15%
Direct
38.37%
Referrals
8.53%
Social
2.09%
Paid Referrals
0.77%
Mail
0.09%
Aug 2025 - Oct 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| label studio | 27.1k | $ 1.85 |
| labelstudio | 3.7k | $ 3.79 |
| label-studio | 840 | $ -- |
| label studio user management | 470 | $ -- |
| labelme | 5.6k | $ 2.34 |
Label Studio Reviews
5/5
Label Studio's Main Competitors and alternatives?
- Labelbox
- Supervise.ly
- Prodigy
- CVAT
- Amazon SageMaker Ground Truth
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