--- title: Labellerr Reviews meta_title: 'Labellerr Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 21 reviews by the users' company size, role or industry to find out how Labellerr works for a business like yours. aggregate_rating: rating_value: 4.8 review_count: 21 scale: '5' date_modified: '2026-07-17' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Labellerr Reviews **Vendor:** Tensor Matics Inc. **Category:** [Data Labeling Software](https://www.g2.com/categories/data-labeling) **Average Rating:** 4.8/5.0 **Total Reviews:** 21 ## About Labellerr Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs. Use cases it supports are object detection, segmentation, classification, image captioning, transcription, and translation. The active learning feature has helped users save 1000s USD per task. Labellerr recently launched LabelGPT which labels images using a prompt. It leverages the combination of generative AI models to label data in minutes rather than months. ## Labellerr Pros & Cons **What users like:** - Users praise the **annotation efficiency** of Labellerr, valuing the high quality and smooth collaboration it offers. (1 reviews) - Users value the **excellent collaboration** features of Labellerr, enhancing teamwork and annotation quality. (1 reviews) - Users appreciate the **responsive customer support** of Labellerr, noting their team's constant availability and assistance. (1 reviews) - Users highlight the **high annotation quality** of Labellerr, enabling effective collaboration and accurate data collection. (1 reviews) - Users commend the **high efficiency** of Labellerr, noting exceptional collaboration and top-notch annotation quality. (1 reviews) - Quality (1 reviews) - Response Speed (1 reviews) **What users dislike:** - Users find the **difficult setup** of Labellerr time-consuming, impacting the ease of collaboration initially. (1 reviews) ## Labellerr Reviews ### 1. LabellErr annotation partnership for waste image computer vision **Rating:** 5.0/5.0 stars **Reviewed by:** Laurent M. | Co-founder and CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** February 14, 2025 **What do you like best about Labellerr?** Great team, very good annotation quality, excellent collaboration. **What do you dislike about Labellerr?** Not much to say. It took a little time to setup our collaboration. **What problems is Labellerr solving and how is that benefiting you?** Getting a good training dataset for waste computer vision. ### 2. Incredible solution and support team **Rating:** 5.0/5.0 stars **Reviewed by:** Aswin M. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 08, 2024 **What do you like best about Labellerr?** I recently had the opportunity to use Labellerr, to annotate a large corpus of textual data, specifically newspaper articles. My primary objective was to identify key elements within these articles as training data, and Labellerr proved to be an invaluable asset in this task. Ease of Use: The interface of Labellerr is remarkably user-friendly. I was able to navigate through its features with ease, making the process of annotating large datasets feel less daunting. The intuitive design meant I spent less time figuring out how to use the tool and more time on the actual task at hand. Efficiency: One of the standout features of Labellerr is its efficiency. The tool is designed to handle large datasets effortlessly. I noticed a significant reduction in the time it took to annotate each article compared to other tools I have used in the past. This efficiency did not compromise the quality of the annotations, which is crucial when working with large volumes of data. Accuracy: The accuracy of Labellerr is impressive. The tool's advanced algorithms ensured that the key elements in the articles were identified correctly. This accuracy is vital for my project, as it relies heavily on the correctness of the annotated data. Support and Guidance: The team behind Labellerr deserves special mention. They were always available to offer assistance and guidance whenever I needed it. Their support was not just technical but also advisory, providing insights that helped improve the overall quality of my project. Overall, my experience with Labellerr has been extremely positive. It stands out for its ease of use, efficiency, accuracy, and excellent customer support. I would highly recommend Labellerr to anyone looking to train large corpora of textual data. It's a tool that truly delivers on its promises. **What do you dislike about Labellerr?** I really can't think of many - this is a product that is growing and I can't wait for them to grow with our orgnization. **What problems is Labellerr solving and how is that benefiting you?** Labellerr is helping us annoate a textual corpus in order to train our machine learning model. ### 3. Flexible image data annotation tool I found **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Hospitality | Small-Business (50 or fewer emp.) **Reviewed Date:** February 04, 2024 **What do you like best about Labellerr?** I used Labellerr for one of our projects for image annotations. The software is so easy to use and very flexible. We are using Labellerr for our inspections module, where we take photographs of the Hotel Rooms and mark them for maintenance and other incidents. The annotation tool should be flexible enough to add more annotations and objects as we use it as it can learn new objects. Puneet was really helpful in explaining various aspects of the software and gave us a good start. Onboarding and getting ready for the test project took a few hours as we are already on Azure Cloud, so integration was pretty easy. **What do you dislike about Labellerr?** It would be great if we could customise the hotkeys so that my team can mark objects faster. **What problems is Labellerr solving and how is that benefiting you?** We are building a computer vision AI-based image understanding system to understand anomalies in hotel room Standard Operating Procedures. The system will monitor room status and report to maintenance and housekeeping heads of the property in case of some misses. ### 4. Labellerr for enhanced online shopping and support: training datasets in action **Rating:** 4.5/5.0 stars **Reviewed by:** Kamal K. | Director - Product Management & eCommerce, Small-Business (50 or fewer emp.) **Reviewed Date:** January 18, 2024 **What do you like best about Labellerr?** Labellerr's Smart Labelling is a game-changer for our diverse data needs, seamlessly covering image, text, and audio annotations. It adapts to tasks like transcribing customer calls and extracting insights from sales rep notes. The in-browser ML models streamline our data structuring, ensuring precision in crafting high-converting bundles and simplifying the buying process for our customers. We also appreciate its versatility in semantic annotation, showcasing furniture items in natural home spaces, just like the physical store experience. **What do you dislike about Labellerr?** While Labellerr excels overall, I'd appreciate enhanced support for handling complex 3D models. The Labellerr team has assured us they are working on bringing 3D labeling support soon, addressing this need for more accurate data labeling in our furniture retail e-commerce. This refinement is crucial for providing a seamless customer experience when exploring and purchasing furniture items online. **What problems is Labellerr solving and how is that benefiting you?** Labellerr tackles various challenges, from transcribing customer calls to identifying room elements. It accelerates labeling, refines work tracking, and enhances domain capabilities. This streamlines workflows and benefits strategic decision-making, creating bundles, simplifying the buying journey, and understanding customers' choices for personalized product recommendations. ### 5. Keeping it simple **Rating:** 5.0/5.0 stars **Reviewed by:** Jaideep R. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 15, 2024 **What do you like best about Labellerr?** I am using Labellerr for mulitple projects, NLP & CV. The ease of use to set up and annotate makes it a breeze to onboard even novices to the team and workflow. The powerful analytics and backend tools as a superadmin give me full control on the Quality of the output as well as the Project Management. And if I need any help the CS team is ready to help me everyday. **What do you dislike about Labellerr?** I am looking forward to a fully customer customisable solutions. **What problems is Labellerr solving and how is that benefiting you?** We needed accurate training data to build our models and Labellerr is providing the exact support that we needed. ### 6. Easy to use for image annotation task **Rating:** 5.0/5.0 stars **Reviewed by:** Shrikant K. | Mid-Market (51-1000 emp.) **Reviewed Date:** January 08, 2024 **What do you like best about Labellerr?** Labellerr is easy to use and its UI is quite intuitive. I was able to add my team to collaborate on the project. Apart from that, it supports various data formats, which was very helpful in my case. **What do you dislike about Labellerr?** Sometimes it gives minor latency issues for bigger data sizes, but the good thing was that it autosaves all the work, so I didn't lose any labels. **What problems is Labellerr solving and how is that benefiting you?** My team is working on an object detection project, for which I needed a tool that my team can easily get trained on. Data security, quality control, and speed were our key concerns. We're quite happy with Labellerr product and service so far. ### 7. Game changer for automated image annotation **Rating:** 5.0/5.0 stars **Reviewed by:** Sumit S. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 21, 2024 **What do you like best about Labellerr?** Labellerr has simplified image labeling for us saving us time and resources. With active learning annotation, we have been able to streamline a lot of our work without breaking the bank! **What do you dislike about Labellerr?** It works perfectly for our use case. Not much to complain about **What problems is Labellerr solving and how is that benefiting you?** We work with several, large media organization for their data analytics and insights needs. We use Labller for large-scale bounding box detection for images and video. Labellerr's label generation is top-notch. The support provides by their team is exceptional. I would highly recommend them ### 8. Support for diverse data types **Rating:** 4.0/5.0 stars **Reviewed by:** Rajesh Kumar B. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 28, 2024 **What do you like best about Labellerr?** Intuitive UI effortless navigation Great for collaborative team projects Support for diverse datatypes Ease of use Autosaves work **What do you dislike about Labellerr?** Nothing much, a little latency in handling large datasets **What problems is Labellerr solving and how is that benefiting you?** Used in medical imaging problem. It has given very accurate results. ### 9. Good automated image labeling tool **Rating:** 5.0/5.0 stars **Reviewed by:** Ankit T. | Founder and CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 08, 2024 **What do you like best about Labellerr?** Labellerr allows me to automate my image labeling requirements with ease. Active learning-based annotation helps to keep my budget in check. **What do you dislike about Labellerr?** Not much to say, however, auto annotation is still supported by their team, but I believe they will bring full self-service in the coming months. **What problems is Labellerr solving and how is that benefiting you?** I needed to do bounding box detection on human data at a large scale. Labellerr team helped me generate labels. Their support is very good, highly recommend it. ### 10. Great tool for data scientists **Rating:** 5.0/5.0 stars **Reviewed by:** Sumit S. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 23, 2024 **What do you like best about Labellerr?** Tool is built keeping the needs of training ML model at centre. The UI is easy and can be very well customized. **What do you dislike about Labellerr?** Nothing in particular. The tool is good to use. **What problems is Labellerr solving and how is that benefiting you?** The tool help us annotate text data for building NLP model. - [View Labellerr pricing details and edition comparison](https://www.g2.com/products/labellerr/reviews/labellerr-review-8230876?section=pricing&secure%5Bexpires_at%5D=2026-07-20+08%3A56%3A02+-0500&secure%5Bsession_id%5D=1c2f7a63-1a80-43c0-ba8f-c632b6ea1ecf&secure%5Btoken%5D=45d0fbb8c841b5b3b1f7a62bbadc42cb0fe372336b728eaeec3c950fed38df5c&format=llm_user) ## Labellerr Features **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Quality** - Labeler Quality - Task Quality - Data Quality - Human-in-the-Loop **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Automation** - Machine Learning Pre-Labeling - Automatic Routing of Labeling **Operations** - Metrics - Infrastructure management - Collaboration **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Image Annotation** - Image Segmentation - Object Detection - Object Tracking - Data Types **Management** - Cataloging - Monitoring - Governing **Deployment** - Managed Service - Application - Scalability **Natural Language Annotation** - Named Entity Recognition - Sentiment Detection - OCR **Generative AI** - AI Text Generation - AI Text Summarization **Speech Annotation** - Transcription - Emotion Recognition **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top Labellerr Alternatives - [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) - 4.8/5.0 (353 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,322 reviews) - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (771 reviews)