Last Updated
Overview
Labellerr is a robust platform accelerating Artificial Intelligence and Machine Language projects with high-quality, automated data labeling support. While some users have encountered slowdowns, Labellerr reduces the data preparation time by 90%. Furthermore, its all-in-one capabilities ensure accurate labels and seamless integration, providing enterprise-level security and privacy.
Labellerr Specifications
- Natural Language Dialogue
- Smart Data Discovery
- Self-Service Dashboards
- Text to Speech & Speech to Text
Labellerr Features
Automated Labeling
Labellerr offers advanced techniques, such as prompt-based, model-assisted, and active learning, to speed up data labeling. This automation reduces manual effort and increases efficiency, allowing teams to focus on complex tasks.
Multiple Data Types Support
This feature supports various data types, including images, videos, PDFs, text, and audio. It also allows users to handle diverse projects without switching between different tools, streamlining the workflow. Users get access to different data formats with Labellerr.
Smart QA
Users can leverage pre-trained models and ground truth-based quality assurance to ensure high-quality labels. Labellerr reduces the time spent on manual quality checks, improving overall accuracy and reliability of the labeled data.
MLOps Integration
Labellerr integrates seamlessly with Google Cloud Platform’s Vertex AI, AWS SageMaker, Azure, and custom setups. This integration facilitates smooth transitions between labeling and model training and enhances the overall AI development.
Advanced Project Management And Analytics
This feature helps reduce time and costs by at least ten times. Labellerr provides insights and streamlines project workflows, making it easier to manage large-scale labeling projects.
Pros And Cons of Labellerr
Pros
User-friendly interface
Efficient and accurate data annotation
Supports multiple data types
Responsive customer support
Cons
Occasional latency issues
Missing few advanced features
Data management challenges
Labellerr Reviews
Total 20 reviews
4.9
All reviews are from verified customers
Rating Distribution
5
Stars90%
4
Stars10%
3
Stars0%
2
Stars0%
1
Stars0%
Share your experience
Anonymous
IT, 11-50 employees
Less than 6 months
“Flexible image data annotation tool I found”
Pros
I used Labellerr for a project involving image annotations, and I found the software extremely smooth and adaptable. We're utilizing it for our inspections module, where we capture photos of hotel rooms and mark areas for maintenance or other issues. It's great that the annotation tool is versatile enough to add new annotations and objects as needed, learning along the way. Puneet was very helpful in explaining the software and helped us get off to a strong start. Since we're already using Azure Cloud, integration was very easy, and it only took a few hours to onboard and prepare for the test project.
Cons
I think it would be really helpful if we had the option to customize the hotkeys, so my team could mark objects more quickly.
Rating Distribution
Ease of use
10
Value for money
10
Customer Support
8
Functionality
10
Akash D.
Full Stack, 11-50 employees
Less than a year
“The next gen data annotation tool for all kinds of data points, especially images”
Pros
It's an easy-to-use tool for image annotation tasks, scalable, and integrates smoothly.
Cons
Sometimes there's a bit of lag when working with large image files.
Rating Distribution
Ease of use
10
Value for money
10
Customer Support
10
Functionality
10
Anonymous
Full Stack, 11-50 employees
Less than a year
“Incredible solution and support team”
Pros
I recently had the chance to work with Labellerr to annotate a large set of textual data, mainly newspaper articles. My goal was to identify key elements in these articles for training data, and Labellerr was an invaluable tool in this task. The support team deserves a special mention, they were always available to offer assistance and advice, going beyond just technical help to provide insights that improved the quality of my project. Navigating the interface was effortless, which made handling such a large dataset far less overwhelming. I spent less time learning the tool and more time focusing on the actual work.
Cons
I honestly can't think of much to criticize, this is a product that's constantly evolving, and I'm excited to see how it grows alongside our organization.
Rating Distribution
Ease of use
6
Value for money
8
Customer Support
10
Functionality
8
Frequently Asked Questions
What language does Labellerr support?
Labellerr supports the English language only.
Does Labellerr offer an API?
Yes, Labellerr does offer an API.
Who are the typical users of Labellerr?
Typical users of Labellerr include AI and ML teams working in healthcare, automotive, manufacturing, energy, agriculture, LLM, security And surveillance, sports vision, biotechnology, and retail industries.
Does Labellerr support mobile devices?
Yes, Labellerr provides support for mobile devices.
What other apps does Labellerr integrate with?
Labellerr integrates with Google Cloud Platform Vertex AI, Azure, and AWS SageMaker.
What types of pricing plans does Labellerr offer?
The Labellerr cost ranges in three plans: the Researcher plan, which is free for university students and researchers; the Pro plan at $499.00/month; and the Enterprise plan with custom pricing. Get detailed pricing information tailored to your business specifics.
What level of support does Labellerr offer?
Labellerr offers 24/7 support through phone, live chat, email, FAQs/ Forums, and knowledge base.



