--- title: "Labellerr Software Pricing, Alternatives & More 2026 | Capterra" description: "With the help of Capterra, learn about Labellerr Software - reviews, pricing plans, popular comparisons to other Machine Learning products and more." source_url: "https://www.capterra.com/p/201456/Labellerr/" page_type: "product" language: "en" publication_date: "2026-10-21" --- # Labellerr Software Review 2026: Features, Integrations, Pros & Cons Last updated on October 21, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews) Labellerr ## What is Labellerr? Labellerr is a One Stop SAAS Solution for all kinds of 'Data Annotation or Labeling' use cases in machine learning. Our goal is to provide organizations a tool so that they can focus more on building AI models quickly rather than waiting on any third party services. Specially designed for machine learning researchers, AI software developers, big data engineers & data scientists whose need is to label millions & billions of datasets in a shorter duration with minimal effort. ## What is Labellerr used for? [Machine Learning](https://www.capterra.com/machine-learning-software/)[Data Preparation](https://www.capterra.com/data-preparation-software/)[Deep Learning](https://www.capterra.com/deep-learning-software/) Overall rating Based on 17 user reviews Reviews sentiment Positive \- Neutral \- Negative \- Starting price ₹1000 Per User, Per Month Free trial available Includes Free Version Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for Labellerr?[Manage this product listing](https://www.g2.com/products/labellerr/claim_requests/new?auto=true) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### Labellerr 4.6 (17) VS. [### Anaconda](https://www.capterra.com/p/191760/Anaconda/) [4.6 (87)](https://www.capterra.com/p/191760/Anaconda/reviews/) Starting Price ₹1000 Per User, Per Month Starting Price Contact vendor Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.7 (17) Ease Of Use 4.4 (87) Value For Money 4.8 (16) Value For Money 4.6 (59) Customer Service 4.9 (16) Customer Service 4.0 (53) ## Labellerr alternatives [Appen](https://www.capterra.com/p/210755/Appen/) [4.1 (40)](https://www.capterra.com/p/210755/Appen/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 83% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/210755/Appen/) [Wolfram Mathematica](https://www.capterra.com/p/171048/Wolfram-Mathematica/) [4.6 (169)](https://www.capterra.com/p/171048/Wolfram-Mathematica/reviews/) Starting price $335.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/171048/Wolfram-Mathematica/) [Comet](https://www.capterra.com/p/250644/Comet/) [4.3 (12)](https://www.capterra.com/p/250644/Comet/reviews/) Starting price $179.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 92% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/250644/Comet/) Highest Rated [DataRobot](https://www.capterra.com/p/179303/DataRobot/) [4.8 (5)](https://www.capterra.com/p/179303/DataRobot/#reviews) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/179303/DataRobot/) [View all alternatives](https://www.capterra.com/p/201456/Labellerr/alternatives/) ## FAQs about Labellerr Overview ### Which roles and teams benefit most from Labellerr? Labellerr is most used by machine learning teams, data annotators, and software engineers who prepare, label, and review training data for computer vision and other models. Project and program managers coordinate annotation work and quality checks, while founders, executives, and business development leaders oversee data operations, delivery progress, and client requirements. Answer based on 17 reviews Overview ### What company size and industries is Labellerr built for? Labellerr is for small businesses, which represent 71% of reviewers, and computer software organizations, its top industry at 35%. It supports organizations labeling large datasets at scale, including midsize businesses (24%) and IT services teams (24%), with machine learning as the most common use case (57%). Answer based on 17 reviews Features and Usability ### What are the key features of Labellerr? Labellerr offers data preparation as its core feature, along with deep learning, an ML algorithm library, model training, natural language processing, predictive modeling, and visualization. These capabilities cover data setup, machine learning model development, language-based analysis, prediction workflows, and result presentation. Getting Started and Support ### What training and onboarding options does Labellerr offer? Labellerr provides in-person training for teams that want guided setup and instruction in a live, face-to-face format. This option can support direct interaction with trainers and allow questions to be addressed during the session. Getting Started and Support ### What customer support options does Labellerr offer? Labellerr provides 24/7 live rep support for customers needing direct assistance at any time. No reviewer feedback on support quality is available, so user experience details such as response speed, helpfulness, or common frustrations cannot be stated from the catalog data. ## Features AI summary Based on 307 Machine Learning reviews Capterra data shows that buyers of Machine Learning software rank the following features as their top priorities: - **Model Training** (**48%** of reviewers rated this feature as critical) - **Third-Party Integrations** (**50%**) - **Predictive Analytics** (**55%**) Labellerr includes **Model Training**, which gives teams a way to build and refine machine learning models inside the platform. However, it does not include **Third-Party Integrations** or **Predictive Analytics**. Instead, it offers **Predictive Modeling** (**56%**), a related capability that reviewers also rate highly. This can help businesses create forecast-driven models and turn data into more informed decisions, providing teams with practical tools to improve planning and analysis. Model Training 4.6 (5) 60.00% of 5 reviewers that rated this feature as important or highly important Process of testing an ML algorithm by feeding it training data to learn from Predictive Modeling 4.5 (4) 50.00% of 4 reviewers that rated this feature as important or highly important Analyzing historical and current data and generating a model to help predict future outcomes. Natural Language Processing 4.8 (4) 50.00% of 4 reviewers that rated this feature as important or highly important Process and analyze human language in text or audio form Visualization 4.8 (4) 25.00% of 4 reviewers that rated this feature as important or highly important Graphical representation of data or processes Deep Learning 4.3 (3) 33.33% of 3 reviewers that rated this feature as important or highly important Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. ML Algorithm Library 4.3 (3) 33.33% of 3 reviewers that rated this feature as important or highly important Share, track, and store machine learning models and data. Labellerr 7 features ### All Features - Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions. - Deep Learning: Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. - ML Algorithm Library: Share, track, and store machine learning models and data. - Model Training: Process of testing an ML algorithm by feeding it training data to learn from - Natural Language Processing: Process and analyze human language in text or audio form - Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes. - Visualization: Graphical representation of data or processes --- Get Advice We can help you find the software with the features you need. Features 4.6 (17) 4.6 Based on 17 reviews ## Pricing Value for money 4.8 (16) Free Trial Free Version Basic ₹1,000 Per User,Per Month Value for money 4.8 (16) 4.8 Based on 16 reviews Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs. ## Support, customer service and training options Customer Service 4.9 (16) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 4.9 (16) 4.9 Based on 16 reviews ## User reviews Overall rating 4.6 Based on 17 reviews Filter by rating Counts reflect reviews available in this feed. 5(12) 4(4) 3(1) 2(0) 1(0) Mentioned topic Recent reviews first, then most helpful Mathew P. Business Development executive Used the software for: 1-3 years ### "Labellerr - Best Data Annotation Platform Provider in the Market" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 December 3, 2025 Everything’s going well so far. No concerns or additions needed at this point. All looks excellent. Good. Pros Their Growth in the industry for the last 2 years and it is one of the easiest tool to use in the market for AI projects. Cons All good for now. Everything looks fine and complete—there’s nothing else to add at this stage. Keep Going. DM Digital Marketing Intern Digital Marketing Intern Used the software for: 3-5 years ### "Excellent Tool!!!" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 9/10 January 20, 2023 By using this tool, I got to know how easy it is to label the images and that too in a very efficient manner. Pros Most wonderful feature is Auto Labelling. Selecting an image or a video which is already done, similar to the one which needs to be tagged, makes the work super easy and time efficient. Review facility and zoom function are another added benefit. Cons Rarely, video and audio issues occur but they are instantly solved by the helping team. DA Data Anotator Data Anotator Used the software for: Less than 1 year ### "Worth it" 3.0 Overall Rating 3.0 3.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 10/10 February 1, 2023 Good Pros Dashboard, objective type labelling, ease of getting training Cons Not too many things to dislike, it's just the speed that needs to be smoothened SM Senior Manager Business Development Senior Manager Business Development Used the software for: Less than 1 year ### "A Good Data Annotation Platform" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 8/10 July 6, 2023 Pros Labeller is very user friendly and good even for beginners Cons It would be better if there is an UNDO button AM Associate Machine Learning Scientist Associate Machine Learning Scientist Used the software for: 1-3 years ### "Great platform for data annotations" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 8/10 December 7, 2022 The team is really good and that made the experience good. They were quick to make changes which were required to improve the product. Pros 1\. Amazing team, they quickly customize the product according to needs.2. They provide most of the tools required for annotations i.e. bouding boxes, keypoints, textual data etc.3. The vendor team associated with them for labelling is very quick with annotations and does the work on time. We never had any time related issues with them. They also learn to annotate quickly and the timely feedback improved them further. Cons In the initial days, the product was slow had bunch of problems. But during 1 year of working with them, they have drastically improved the product. Now it works smoothly, much faster and supports a lot of things. FO Founder's Office Founder's Office Used the software for: Less than 1 year ### "Great tool for decreasing workload of ML team" 5.0 April 12, 2023 Pros Earlier, the team had been using manual annotation. Labeller has a clean UI with which we were able to outsource the labeling. UI for NLP is great and intuitive. Cons The tool could be more fluent and have lesser lag at a few places. Some intelligence in the annotation would also have been better. SD Software Developer Software Developer Used the software for: Less than 1 year ### "An intuitive and convenient labelling tool" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 January 12, 2021 Along with my text labelling process, the audio labelling tool is also quite useful. Developing a custom robust voice-recognition feature for my application was pretty straightforward using Labellerr. The segmentation and organisation of different labels in general enhanced the quality of my workflow. Pros The features that stood for me about this software was it's ease of use and the way it seamlessly connected to my data sources. My use-cases were mostly Artificial Intelligence based, mainly in natural language processing. The text labelling section definitely sped up my process of developing the language model and thus enabled me to deliver on my projects on my time. Cons The whole experience is quite hassle-free. SE Software Engineer Software Engineer Used the software for: Less than 1 year ### "Labellerr Annotation Platform" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 3.0 3.0 Customer Service 4.0 4.0 Likelihood to Recommend 7/10 December 19, 2022 Pros Prompt customer support and ease of use. Cons Sometimes a little slow, but got fixed on request. PC Project Coordinator Project Coordinator Used the software for: 1-3 years ### "Labellerr review " 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 9/10 December 19, 2022 Overall its a great experience on working this tool. Pros The keypoint tool is very much interesting and its very easy to use. We can easily pan across the frame and zoon function is a great one. Cons There is a little bit lag between submitting and loading of frames. PM Program Manager Program Manager Used the software for: Less than 1 year ### "Excellent " 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 December 19, 2022 Excellent Pros This is good product and easy to use and features can be customised Cons Handy and easy to use for regular jobs for customers [View all Reviews](https://www.capterra.com/p/201456/Labellerr/reviews/) ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox.