List of the Top 25 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.

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.

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.

A single tool has the capability to oversee your complete data labeling process. We encourage you to explore the most effective methods for managing your labeling team, enhancing data quality, boosting your efficiency by 70%, and achieving better organization! By streamlining your workflow, you can significantly improve productivity and ensure accurate results.

Keylabs.ai serves as a specialized platform for annotating images and videos, created by experts in annotation to provide exceptional data management and operational capabilities. The effectiveness of its tools in processing extensive datasets with precision has been well demonstrated. Recognized and relied upon by leading technology companies around the world, Keylabs.ai merges cutting-edge technology with a design centered on user experience to offer adaptable solutions for projects of varying scales and complexities. Their commitment to excellence ensures that clients receive tailored support for their specific needs.

Amazon SageMaker is a robust platform designed to help developers efficiently build, train, and deploy machine learning models. It unites a wide range of tools in a single, integrated environment that accelerates the creation and deployment of both traditional machine learning models and generative AI applications. SageMaker enables seamless data access from diverse sources like Amazon S3 data lakes, Redshift data warehouses, and third-party databases, while offering secure, real-time data processing. The platform provides specialized features for AI use cases, including generative AI, and tools for model training, fine-tuning, and deployment at scale. It also supports enterprise-level security with fine-grained access controls, ensuring compliance and transparency throughout the AI lifecycle. By offering a unified studio for collaboration, SageMaker improves teamwork and productivity. Its comprehensive approach to governance, data management, and model monitoring gives users full confidence in their AI projects.

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.

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.

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.

Create training datasets for computer vision models through our all-encompassing management solution, as we recognize that the effectiveness of data labeling is vital for developing successful deep learning applications. Our goal is to position ourselves as the leading data labeling platform within the industry, allowing enterprises to harness the full capabilities of AI technology. To facilitate better organization, categorize your media assets into clear segments. Use one or several bounding boxes to highlight specific areas of interest, thereby improving detection precision. Apply bounding boxes with greater accuracy for more thorough annotations and provide exact measurements of width, depth, and height for a variety of objects. Ensure that every pixel in an image is classified for detailed analysis, and identify individual points to capture particular details within the visuals. Annotate straight lines to aid in geometric evaluations and assess critical characteristics such as yaw, pitch, and roll for relevant items. Monitor timestamps in both video and audio materials for effective synchronization. Furthermore, include annotations of freeform lines in images to represent intricate shapes and designs, thus enriching the quality of your data labeling initiatives. By prioritizing these strategies, you'll enhance the overall effectiveness and usability of your annotated datasets.

Optimize the complete machine learning process from inception to execution. Empower developers and data scientists with a variety of efficient tools to quickly build, train, and deploy machine learning models. Accelerate time-to-market and improve team collaboration through superior MLOps that function similarly to DevOps but focus specifically on machine learning. Encourage innovation on a secure platform that emphasizes responsible machine learning principles. Address the needs of all experience levels by providing both code-centric methods and intuitive drag-and-drop interfaces, in addition to automated machine learning solutions. Utilize robust MLOps features that integrate smoothly with existing DevOps practices, ensuring a comprehensive management of the entire ML lifecycle. Promote responsible practices by guaranteeing model interpretability and fairness, protecting data with differential privacy and confidential computing, while also maintaining a structured oversight of the ML lifecycle through audit trails and datasheets. Moreover, extend exceptional support for a wide range of open-source frameworks and programming languages, such as MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R, facilitating the adoption of best practices in machine learning initiatives. By harnessing these capabilities, organizations can significantly boost their operational efficiency and foster innovation more effectively. This not only enhances productivity but also ensures that teams can navigate the complexities of machine learning with confidence.

Utilize the capabilities of AutoML Vision or take advantage of pre-trained models from the Vision API to draw valuable insights from images stored either in the cloud or on edge devices, enabling functionalities like emotion recognition, text analysis, and beyond. Google Cloud offers two sophisticated computer vision options that harness machine learning to ensure high prediction accuracy in image evaluation. You can easily create customized machine learning models by uploading your images and utilizing AutoML Vision's user-friendly graphical interface for training and refining these models to achieve the best performance in terms of accuracy, speed, and efficiency. After achieving the desired results, these models can be exported effortlessly for deployment in cloud applications or across a range of edge devices. Furthermore, Google Cloud's Vision API provides access to powerful pre-trained machine learning models through REST and RPC APIs, allowing you to label images, classify them into millions of established categories, detect objects and faces, interpret both printed and handwritten text, and enhance your image database with detailed metadata for improved insights. This ensemble of tools not only streamlines the image analysis workflow but also equips enterprises with the means to make informed, data-driven choices more efficiently, fostering innovation and enhancing overall performance. Ultimately, by leveraging these advanced technologies, businesses can unlock new opportunities for growth and transformation within their operations.

Our annotation platform, powered by the cloud, allows you to start projects, label content, monitor progress, and retrieve your annotated results. You can choose to assign tasks to our committed annotation team or tap into our global network of contributors. This adaptability not only streamlines project management but also ensures that it can be customized to meet your unique requirements effectively. Furthermore, this system is designed to enhance collaboration and improve the overall efficiency of your workflow.

The platform offers features such as image categorization, bounding box detection, polygon annotation, curve tracing, and 3D positioning. Furthermore, it also includes capabilities for video tracking, text categorization, and named entity recognition. Users can enhance their experience by creating custom task plugins to design their own labeling tools. Files can easily be exported in the PascalVoc XML format, which aligns with the standard used by ImageNet, in addition to the CoreNLP format. This software is designed to work across various operating systems, including Windows, Mac, CentOS, and Ubuntu. Such compatibility guarantees that users can effortlessly incorporate it into their current workflows, enhancing productivity and efficiency. As a result, this platform caters to a wide range of labeling needs across different applications.

Efficiently handle unstructured data to rapidly create AI solutions. Dataloop presents an enterprise-level data platform featuring vision AI that serves as a comprehensive resource for constructing and implementing robust data pipelines tailored for computer vision. It streamlines data labeling, automates operational processes, customizes production workflows, and integrates human oversight for data validation. Our objective is to ensure that machine-learning-driven systems are both cost-effective and widely accessible. Investigate and interpret vast amounts of unstructured data from various origins. Leverage automated preprocessing techniques to discover similar datasets and pinpoint the information you need. Organize, version, sanitize, and direct data to its intended destinations, facilitating the development of outstanding AI applications while enhancing collaboration and efficiency in the process.

You can develop your A.I. swiftly using the Edgecase Platform, allowing your team to produce 100,000 labeled images in under a day. The precision of the data is assured as it merges 3D models with real-world visuals, alleviating any concerns regarding data accuracy. Moreover, each model is customizable, enabling adjustments to camera angles, lighting, textures, scene types, and much more. All of this is conveniently available through cloud access—your A.I. At your disposal is the ability to leverage your existing data to generate personalized datasets, alongside a vast collection of hyper-realistic 3D models that can enhance your creative projects. This combination of features empowers users to tailor their A.I. solutions to their specific needs effortlessly.

The entire machine learning and computer vision workflow is simplified and accelerated through a unified no-code platform. Sense enables users to design and deploy AI IoT solutions in diverse settings, whether in the cloud, on-site, or at the edge. Learn how Sense provides simplicity, reliability, and transparency for AI/ML teams, equipping machine learning engineers with powerful tools while remaining user-friendly for non-technical experts. With Sense Data Annotation, users can effectively label video and image data, improving their machine learning models and ensuring the development of high-quality training datasets. The platform also includes one-touch labeling integration, which facilitates continuous machine learning at the edge and streamlines the management of all AI applications, thus enhancing both efficiency and performance. This all-encompassing framework positions Sense as an essential asset for a variety of users, making advanced technology accessible to those with varying levels of expertise. Additionally, the platform's flexibility allows for rapid adaptation to evolving project requirements and fosters collaboration among teams.

The seamless integration of systems significantly boosts the efficiency of data cleaning and labeling tasks. By leveraging your existing infrastructure, you can effectively implement and manage AI applications. Start by clarifying your expected business return on investment and prioritize factors such as quality, cost, and speed. With Super.AI, you can trust that the results will align with your expectations. This platform allows the use of a combination of AI, human contributions, and robotic process automation bots. You can also integrate various AI models from renowned providers like Amazon and Google for enhanced performance. While previous Intelligent Document Processing (IDP) solutions depended on primitive AI techniques that required extensive setup, post-processing, and exception management, Super.AI IDP offers a revolutionary approach. It operates on a unified AI platform designed to efficiently manage any document type or unstructured data format, employing the latest AI technologies for superior outcomes. This forward-thinking strategy not only speeds up automation but also reduces costs and complexity through an on-demand data processing crowd. Users are empowered to navigate the balance between quality, cost, and speed, while the platform adeptly chooses the ideal combination of AI, human, and bot resources to ensure successful results, ultimately leading to enhanced operational efficiency and effectiveness. As a result, organizations can significantly streamline their processes, saving time and resources while achieving their business goals.

Human-driven data processing solutions for AI and automation are at the core of our managed teams, which have successfully assisted countless clients with various use cases, both straightforward and intricate. Our established methodologies ensure rapid delivery of high-quality data while being adaptable to your evolving requirements. The versatile platform we offer can seamlessly integrate with any commercial or proprietary tools, enabling you to select the most suitable solutions for your tasks. With flexible pricing models and contract options, you can swiftly initiate projects and adjust your resource levels as needed, all without being tied to long-term commitments. For nearly ten years, our clients have depended on our IT infrastructure to provide exceptional remote work, and we successfully maintained operations during the COVID-19 lockdowns. This resilience not only kept our clients operational but also enhanced the geographic and vendor diversity of their workforces, fostering greater stability and innovation. Overall, our commitment to flexibility and quality positions us as a valuable partner in navigating the dynamic landscape of data processing.

Our AI Training Data Platform integrates top-notch data annotators and advanced computer vision technology, harnessing the collective strength of a vibrant AI Community dedicated to professional annotations. GT Manage serves as our exclusive platform manager, overseeing a community of over one million members. GT Annotate, our unique data annotation tool, is designed specifically for efficient and precise labeling. GT Data showcases our worldwide expertise in data collection and generation. The foundation of all AI systems lies in human-powered intelligence. Our fully automated platform facilitates complex data annotation across various types, all within a single software solution, while ensuring smooth management of projects and the AI Community. Ground Truth (GT Annotate) represents our specialized software for data annotation, meticulously crafted to enable teams to produce high-quality AI training datasets swiftly and accurately. This technology not only streamlines the annotation process but also empowers users to leverage advanced features that enhance collaboration and efficiency.