List of the Top 25 Free Data Labeling Software in 2025

Data labeling in Vertex AI plays a vital role in the machine learning workflow by ensuring that data is properly categorized and tagged for the purpose of training models. The platform offers both automated and manual labeling options, enabling organizations to efficiently manage extensive datasets for AI model development. With its sophisticated labeling tools, Vertex AI helps businesses maintain high standards of quality and precision in their labeled data, which in turn enhances model performance. New users are welcomed with $300 in free credits to test and utilize the data labeling services, facilitating a smoother data preparation process. By implementing effective data labeling strategies, companies can boost the efficacy of their machine learning models and develop more robust AI applications.

APISCRAPY is a platform utilizing artificial intelligence to perform web scraping and automation, transforming any online data into actionable data APIs. AIMLEAP also offers a variety of other data solutions including: AI-Labeler: A tool that enhances annotation and labeling with AI assistance. AI-Data-Hub: Provides on-demand data essential for developing AI products and services. PRICE-SCRAPY: An AI-powered tool for real-time pricing data. API-KART: A comprehensive hub for AI-driven data API solutions. About AIMLEAP AIMLEAP is a globally recognized technology consulting and service provider, holding ISO 9001:2015 and ISO/IEC 27001:2013 certifications, specializing in AI-enhanced Data Solutions, Data Engineering, Automation, IT, and Digital Marketing services. The company has earned the distinction of being certified as ‘The Great Place to Work®’. Since its inception in 2012, AIMLEAP has successfully executed projects focused on IT and digital transformation, automation-based data solutions, and digital marketing for over 750 rapidly growing companies around the world. With a presence in multiple countries, AIMLEAP operates in the USA, Canada, India, and Australia, ensuring accessible support for its global clientele.

Kili Technology is committed to the idea that superior AI relies on exceptional data quality. Our all-encompassing training data platform enables businesses to convert unstructured data into refined datasets, essential for training AI and ensuring the success of AI initiatives. By leveraging Kili Technology for creating training datasets, teams can enhance their efficiency, speed up the production timelines of their AI projects, and produce high-quality AI solutions that meet their objectives effectively. Additionally, this transformation not only streamlines processes but also fosters innovation within organizations.

Evercontact ensures your address book remains up-to-date by automatically generating new contacts and refreshing the details of existing ones. Notably, more than 40% of address book modifications happen within a mere three months. With Evercontact, you can be confident that your contact information is always accurate and current. The service works by extracting pertinent contact details directly from email signatures. Additionally, it seamlessly creates new entries and modifies existing records without requiring manual input. Our subscription options offer a range of features, including unlimited updates to contacts, support for multiple email addresses, centralized address books, easy CSV downloads, CRM integration, and more. You retain full ownership of your personal data, ensuring that it is secure and private. Evercontact adheres to GDPR standards, prioritizing data protection and privacy for all users. Compatible with Gmail, Outlook, and Office 365, our service is designed to enhance your experience with effortless contact management.

Ango Hub serves as a comprehensive and quality-focused data annotation platform tailored for AI teams. Accessible both on-premise and via the cloud, it enables efficient and swift data annotation without sacrificing quality. What sets Ango Hub apart is its unwavering commitment to high-quality annotations, showcasing features designed to enhance this aspect. These include a centralized labeling system, a real-time issue tracking interface, structured review workflows, and sample label libraries, alongside the ability to achieve consensus among up to 30 users on the same asset. Additionally, Ango Hub's versatility is evident in its support for a wide range of data types, encompassing image, audio, text, and native PDF formats. With nearly twenty distinct labeling tools at your disposal, users can annotate data effectively. Notably, some tools—such as rotated bounding boxes, unlimited conditional questions, label relations, and table-based labels—are unique to Ango Hub, making it a valuable resource for tackling more complex labeling challenges. By integrating these innovative features, Ango Hub ensures that your data annotation process is as efficient and high-quality as possible.

Our software is capable of recognizing objects within images and videos. With only a handful of images, you can effectively train a computer vision model, often completing the process in under a day. We are dedicated to assisting innovators like you in harnessing the power of computer vision technology. You can conveniently upload your files either through an API or manually, encompassing images, annotations, videos, and audio content. We offer support for various annotation formats, making it straightforward to incorporate training data as you collect it. Roboflow Annotate is specifically designed for swift and efficient labeling, enabling your team to annotate hundreds of images in just a few minutes. You can evaluate your data's quality and prepare it for the training phase. Additionally, our transformation tools allow you to generate new training datasets. Experimentation with different configurations to enhance model performance is easily manageable from a single centralized interface. Annotating images directly from your browser is a quick process, and once your model is trained, it can be deployed to the cloud, edge devices, or a web browser. This speeds up predictions, allowing you to achieve results in half the usual time. Furthermore, our platform ensures that you can seamlessly iterate on your projects without losing track of your progress.

SuperAnnotate stands out as a premier platform for developing superior training datasets tailored for natural language processing and computer vision. Our platform empowers machine learning teams to swiftly construct precise datasets and efficient ML pipelines through a suite of advanced tools, quality assurance, machine learning integration, automation capabilities, meticulous data curation, a powerful SDK, offline access, and seamless annotation services. By unifying professional annotators with our specialized annotation tool, we have established an integrated environment that enhances the quality of data and streamlines the data processing workflow. This holistic approach not only improves the efficiency of the annotation process but also ensures that the datasets produced meet the highest standards of accuracy and reliability.

Roora provides exceptional data annotation services specifically designed for machine learning applications, concentrating on the tagging of images, videos, and text across various industries like healthcare, autonomous vehicles, and retail. Utilizing cutting-edge methods such as bounding boxes, semantic segmentation, and object detection, Roora enables organizations to enhance the efficacy of their AI models significantly. The skilled team behind the platform ensures that the data labeling process is accurate, scalable, and secure, which greatly enhances the ability of AI systems to recognize and classify visual components in real-world applications, including facial recognition, medical diagnostics, and self-driving technology. This unwavering dedication to excellence and innovation establishes Roora as a frontrunner in the data annotation field, propelling the evolution of AI technology. Moreover, their expertise ensures that clients receive tailored solutions that meet their specific needs, further solidifying Roora's reputation in the industry.

Clarifai stands out as a prominent AI platform adept at processing image, video, text, and audio data on a large scale. By integrating computer vision, natural language processing, and audio recognition, our platform serves as a robust foundation for developing superior, quicker, and more powerful AI applications. We empower both enterprises and public sector entities to convert their data into meaningful insights. Our innovative technology spans various sectors, including Defense, Retail, Manufacturing, and Media and Entertainment, among others. We assist our clients in crafting cutting-edge AI solutions tailored for applications such as visual search, content moderation, aerial surveillance, visual inspection, and intelligent document analysis. Established in 2013 by Matt Zeiler, Ph.D., Clarifai has consistently been a frontrunner in the realm of computer vision AI, earning recognition by clinching the top five positions in image classification at the prestigious 2013 ImageNet Challenge. With its headquarters located in Delaware, Clarifai continues to drive advancements in AI, supporting a wide array of industries in their digital transformation journeys.

Enhance your team's efficiency in NLP data labeling with our innovative platform, LightTag, which skillfully organizes your staff, allowing you to focus on the essential aspects of your work. The platform is crafted to provide a smooth experience, significantly improving productivity through its user-friendly design. Elevate Your Efficiency with Our Cutting-Edge Features: - User-Friendly Keyboard Shortcuts - Removal of tokenization assumptions - Extensive Unicode Compatibility - Annotations for both subwords and phrases - Support for RTL and CJK languages - Annotations for Entities, Classifications, and Relations LightTag's Review Mode and Reporting capabilities make it easy to create impeccable datasets while helping your annotators perform at their best. The AI embedded in LightTag intelligently learns to offer accurate predictions, streamlining basic labeling tasks, which allows your team to dedicate more time to crafting in-depth and higher-quality labels. Impressively, half of the annotations produced within LightTag are a result of our AI's recommendations, applicable to any language you prefer! Moreover, you can improve suggestions by incorporating your own models, utilizing regular expressions, and leveraging dictionaries. Our review feature enables you to quickly validate your models, ensuring you can initiate projects with assurance. This efficient approach not only conserves time but also significantly enhances the caliber of your data, ultimately leading to more successful outcomes.

V7 Darwin is an advanced platform for data labeling and training that aims to streamline and expedite the generation of high-quality datasets for machine learning applications. By utilizing AI-enhanced labeling alongside tools for annotating various media types, including images and videos, V7 enables teams to produce precise and uniform data annotations efficiently. The platform is equipped to handle intricate tasks such as segmentation and keypoint labeling, which helps organizations optimize their data preparation workflows and enhance the performance of their models. In addition, V7 Darwin promotes real-time collaboration and allows for customizable workflows, making it an excellent choice for both enterprises and research teams. This versatility ensures that users can adapt the platform to meet their specific project needs.

Your AI Data Platform Top-Notch Training Data for Businesses Data Annotation Software for Machine Learning Enjoy a free Kubernetes Cluster for up to 3 users RELIED ON BY 5,000 SATISFIED UBERS GLOBALLY Images, Videos, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Boxes, Polygons and Lines, Keypoints, Classification Tags, and More You have access to the precise spatial tool you require. Each tool is user-friendly, customizable, and provides robust options for data presentation, with all tools available in Video format. Attribute Tools Enhanced Meaning. Greater flexibility through: Radio buttons, Multiple selections, Date pickers, Sliders, Conditional logic, Directional vectors, and much more! Intricate knowledge can be captured and encoded into your AI systems, facilitating deeper insights. Streaming Data Automation Manual labeling can surpass automated labeling in speed by up to 10 times, significantly improving efficiency. Moreover, this rapid labeling process enhances project turnaround times, fostering quicker insights and development.

A data labeling software that boosts the intelligence of your AI solutions is now available. This adaptable tool is designed to label various data types effectively. By leveraging Machine Learning and Active Learning, it can automatically annotate up to 95% of your dataset, significantly reducing manual effort. It also allows for centralized management of training data, ensuring both quality and adherence to privacy regulations. Furthermore, the software includes user-friendly features that enhance the labeling process, making it more efficient and productive for teams.

Leveraging artificial intelligence to improve the creation of more efficient AI solutions encompasses various essential aspects. These aspects involve precise annotation tools, platforms for overseeing annotator performance, frameworks for crafting labeling guidelines, and strong measures for safeguarding data security and privacy. By combining these components, organizations can achieve a more accurate and productive training procedure for their AI models. Furthermore, the adoption of these technologies has the potential to enhance results and foster increased confidence in the applications of AI. This holistic approach not only streamlines development but also promotes innovation in the field.

Leverage the power of UBIAI's cutting-edge labeling platform to significantly boost the speed of your personalized NLP model's training and deployment like never before! When working with semi-structured documents, such as invoices or contracts, it is crucial to retain the original formatting to ensure effective model training. By combining natural language processing with advanced computer vision techniques, UBIAI’s OCR capabilities enable you to perform tasks like named entity recognition (NER), relation extraction, and document classification directly on native PDF files, scanned images, or photos taken with a smartphone, all while keeping essential layout elements intact, resulting in a substantial improvement in the performance of your NLP model. The UBIAI text annotation tool allows for seamless execution of NER, relation extraction, and document classification tasks within a single, intuitive interface. In contrast to many other platforms, UBIAI uniquely supports the creation of nested and overlapping entities that represent multiple relationships, thus enhancing your data annotation efforts. This distinctive feature not only streamlines your workflow but also deepens the insights that your model can derive, ultimately leading to a more effective and comprehensive understanding of the data. Additionally, this streamlined process encourages collaboration among team members, fostering a more productive environment for model development.

Our organization stands out as the leading provider of data labeling services tailored for AI applications. We serve a diverse array of sectors including Automotive, Robotics, Fintech, Healthcare, E-commerce, Manufacturing, and Insurance. With a dedicated team of over 500 annotation specialists and support in multiple languages, we deliver precise and efficient services catering to both enterprise-level and R&D initiatives. Our offerings encompass a wide range of services such as Computer Vision and NLP annotation, comprehensive data processing, and beyond. By choosing Label Your Data, you can expect unmatched excellence in the quality of your training datasets. We prioritize the security and integrity of our clients' data above all else. To uphold the confidentiality of client information, our facilities and personnel have received certifications from ISO 27001 and PCI DSS (level 1), demonstrating our commitment to industry-leading security. Additionally, we strictly comply with essential industry regulations such as GDPR and CCPA, ensuring that your data remains protected at all times. Our unwavering dedication to quality and security makes us the ideal partner for your data labeling needs.

Atlas effortlessly fits into your working process by organizing text and embedding datasets into interactive maps that can be explored through a web browser. Gone are the days of navigating through Excel spreadsheets, managing DataFrames, or poring over extensive lists to understand your data. With its ability to automatically ingest, categorize, and summarize collections of documents, Atlas brings to light significant trends and patterns that may otherwise go unnoticed. Its meticulously designed data interface offers a swift method of spotting anomalies and issues that could jeopardize the effectiveness of your AI strategies. During the data cleansing phase, you can easily label and tag your information, with real-time synchronization to your Jupyter Notebook for added convenience. Although vector databases are critical for robust applications such as recommendation systems, they can often pose considerable interpretive difficulties. Atlas not only manages and visualizes your vectors but also facilitates a thorough search capability across all your data through a unified API, thus streamlining data management and enhancing user experience. By improving accessibility and transparency, Atlas equips users to make data-driven decisions that are well-informed and impactful. This comprehensive approach to data handling ensures that organizations can maximize the potential of their AI projects with confidence.

Enable a diverse range of annotation types for images and videos through a versatile, open-source web tool. This platform is built to scale effectively and features user-friendly “click and drag” capabilities that simplify the process of adding numerous attributes. It includes functionalities that allow the fitting of boundaries with Bezier curves and the option to duplicate common boundaries, enhancing efficiency. Users can pinpoint the specific areas where a driver is active and delineate lane lines, which is crucial for improving vision-based vehicle localization and trajectory planning. An easy four-click approach is utilized to precisely encapsulate objects of interest, while sophisticated algorithms leverage object tracking and interpolation methods to forecast annotations across different frames for bounding boxes. The tool also extends its prediction capabilities to individual object instances, with 2D tracking that has been further developed into a three-dimensional framework, thereby enriching the overall annotation experience. By incorporating these advanced features, this tool strives to optimize the workflow for individuals engaged in tasks related to image and video annotation, ultimately leading to enhanced productivity and accuracy. Furthermore, the platform's adaptability ensures that it can cater to the evolving needs of various users in this field.

Choose the most significant unlabeled data to improve domain representation and enhance model efficacy. Make sure your metadata is documented within Dioptra while maintaining complete oversight of your data. Investigate the fundamental reasons behind model failures and regressions using an extensive data-oriented toolkit. Employ our active learning miners to extract the most beneficial unlabeled datasets. Take advantage of Dioptra’s APIs for smooth integration with your labeling and retraining workflows. Methodically curate your data at scale, customized to fit your unique use case. We provide open-source solutions for data curation and management that are applicable across computer vision, NLP, and LLMs. Our assistance has empowered clients to boost model precision on complex cases, speed up training times, and reduce labeling costs, resulting in more streamlined workflows. This methodology not only simplifies the data management process but also promotes innovation in model creation, ultimately leading to breakthroughs in various applications. By focusing on efficient data utilization, you can unlock new opportunities for growth and advancement in your projects.

Athina serves as a collaborative environment tailored for AI development, allowing teams to effectively design, assess, and manage their AI applications. It offers a comprehensive suite of features, including tools for prompt management, evaluation, dataset handling, and observability, all designed to support the creation of reliable AI systems. The platform facilitates the integration of various models and services, including personalized solutions, while emphasizing data privacy with robust access controls and self-hosting options. In addition, Athina complies with SOC-2 Type 2 standards, providing a secure framework for AI development endeavors. With its user-friendly interface, the platform enhances cooperation between technical and non-technical team members, thus accelerating the deployment of AI functionalities. Furthermore, Athina's adaptability positions it as an essential tool for teams aiming to fully leverage the capabilities of artificial intelligence in their projects. By streamlining workflows and ensuring security, Athina empowers organizations to innovate and excel in the rapidly evolving AI landscape.

Mindkosh serves as your ultimate data management solution, simplifying the processes of curating, tagging, and authenticating datasets for artificial intelligence projects. Our exceptional data annotation platform integrates collaborative features with AI-driven tools, offering a comprehensive suite for classifying various data formats, such as images, videos, and 3D point clouds derived from Lidar technology. With regard to images, Mindkosh provides cutting-edge semi-automated segmentation, pre-labeling of bounding boxes, and fully automated OCR functionalities. In the realm of video annotation, the use of automated interpolation by Mindkosh greatly minimizes the requirement for manual labeling efforts. For Lidar datasets, our single-click annotation functionality allows for rapid cuboid creation with just one click, enhancing efficiency. If your primary goal is to have your data labeled, our superior data annotation services, paired with an intuitive Python SDK and a user-friendly web-based review system, deliver an unparalleled experience that stands out in the industry. Additionally, we are dedicated to ensuring that our platform continuously evolves to meet the changing demands of data management in AI applications.

RapidMiner is transforming the landscape of enterprise AI, enabling individuals to influence the future in meaningful ways. The platform equips data enthusiasts across various skill levels to swiftly design and deploy AI solutions that yield immediate benefits for businesses. By integrating data preparation, machine learning, and model operations, it offers a user-friendly experience that caters to both data scientists and non-experts alike. With our Center of Excellence methodology and RapidMiner Academy, we ensure that all customers, regardless of their experience or available resources, can achieve success in their AI endeavors. This commitment to accessibility and effectiveness makes RapidMiner a leader in empowering organizations to harness the power of AI effectively.

Our leading-edge platform designed for the entire computer vision workflow enables a transformation from image annotation to accurate neural networks at speeds that can reach ten times faster than traditional methods. With our outstanding data labeling capabilities, you can turn your images, videos, and 3D point clouds into high-quality training datasets. This not only allows you to train your models effectively but also to monitor experiments, visualize outcomes, and continuously refine model predictions, all while developing tailored solutions in a cohesive environment. The self-hosted option we provide guarantees data security, offers extensive customization options, and ensures smooth integration with your current technology infrastructure. This all-encompassing solution for computer vision covers multi-format data annotation and management, extensive quality control, and neural network training within a single platform. Designed by data scientists for their colleagues, our advanced video labeling tool is inspired by professional video editing applications and is specifically crafted for machine learning uses and beyond. Additionally, with our platform, you can optimize your workflow and markedly enhance the productivity of your computer vision initiatives, ultimately leading to more innovative solutions in your projects.

Superb AI presents an innovative machine learning data platform aimed at enabling AI teams to create exceptional AI solutions with greater efficiency. The Superb AI Suite operates as an enterprise SaaS solution specifically designed for ML engineers, product developers, researchers, and data annotators, streamlining training data workflows to save both time and monetary resources. A notable observation is that many ML teams spend over half of their time managing training datasets, a challenge that Superb AI adeptly tackles. Clients who have embraced our platform have seen a remarkable 80% decrease in the time needed to initiate model training. Our offerings include a fully managed workforce, extensive labeling tools, stringent training data quality assurance, pre-trained model predictions, sophisticated auto-labeling features, and effective dataset filtering and integration, all of which significantly improve the data management process. Additionally, the platform is equipped with powerful developer tools and offers seamless integrations for ML workflows, simplifying the management of training data like never before. By providing enterprise-level functionalities that address all facets of an ML organization, Superb AI is transforming how teams engage with machine learning initiatives, ultimately leading to faster and more effective project outcomes. This shift not only enhances productivity but also allows teams to focus more on innovation and less on logistical challenges.

Elevate your annotation workflow with CVAT, a leading data engine for machine learning utilized by teams across various sizes and handling datasets of any scale. Designed with input from real-world teams facing practical challenges, CVAT boasts a rapid and intuitive interface, making it the preferred tool for innovative AI developers in multiple industries, including healthcare, retail, and self-driving technology. Daily, top-tier AI professionals incorporate CVAT into their processes, ensuring seamless project execution regardless of the data type or desired outcomes. CVAT shines with its compatibility across diverse formats such as images, videos, and 3D models, providing a rich selection of annotation tools like bounding boxes, polygons, points, skeletons, cuboids, and trajectories. Enhance your efficiency with sophisticated interactive features like intelligent scissors and histogram equalization, tailored to refine the annotation process. Moreover, CVAT offers insightful metrics such as annotator hours worked and objects annotated hourly, empowering teams to fine-tune their productivity for improved outcomes. With its extensive capabilities and adaptability, CVAT emerges as a crucial resource for any AI-centered initiative, paving the way for innovative developments in the field. Utilizing CVAT not only streamlines the annotation process but also positions teams to stay ahead in the competitive landscape of artificial intelligence.