Best Data Labeling Software of 2026

At Kili Technology, we believe the foundation of better AI is excellent data. Kili Technology's complete training data platform empowers all businesses to transform unstructured data into high quality data to train their AI and deliver successful AI projects. By using Kili Technology to build training datasets, teams will improve their productivity, accelerate go-to-production cycles of their AI projects and deliver quality AI.

clickworker is globally the largest open crowd sourcing provider. The company has a huge number of services using a "one to many" approach where your company can use many Clickworkers to achieve the outcome you desire. Most frequently, clickworker provides customized data collection, categorization, evaluation, tagging and annotation services to create AI/ML training data for Data Scientists, and also provides SEO texts, product tags, categories and surveys for online businesses and retailers. clickworker serves most industries and applications using the skills of their 4.0M+ Clickworkers. This crowd gathers data through a wide range of micro-tasks, utilizing a sophisticated crowd-sourcing platform and fully featured mobile app.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology. Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations. Sounds like gibberish? That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models. Now, what if I told you that a kid could train an AI as well as a computer vision expert? That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education? That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience. You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.

Keylabs.ai is an image and video annotation platform built by annotation experts to deliver high-performance data annotation and management features and unique operations management. Its tools have a proven track record of handling large datasets efficiently and accurately. Trusted by global technology leaders, Keylabs.ai combines innovative technology with user-focused design to deliver solutions to projects of any type and size.

V7 Darwin is a data labeling and training platform designed to automate and accelerate the process of creating high-quality datasets for machine learning. With AI-assisted labeling and tools for annotating images, videos, and more, V7 makes it easy for teams to create accurate and consistent data annotations quickly. The platform supports complex tasks such as segmentation and keypoint labeling, allowing businesses to streamline their data preparation process and improve model performance. V7 Darwin also offers real-time collaboration and customizable workflows, making it suitable for enterprises and research teams alike.

Your AI Data Platform High Quality Training Data for Enterprise Data Labeling Software for Machine Learning Your Kubernetes Cluster up to 3 users is free TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE Images, Video, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video. Attribute Tools More Meaning. More freedom through: Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more! Complex knowledge can be captured and encoded into your AI. Streaming Data Automation Manual labeling can be up to 10x faster than automated labeling

HumanSignal's Label Studio Enterprise is a versatile platform crafted to produce high-quality labeled datasets and assess model outputs with oversight from human evaluators. This platform accommodates the labeling and evaluation of diverse data types, including images, videos, audio, text, and time series, all within a single interface. Users can customize their labeling environments through pre-existing templates and robust plugins, which allows for the adaptation of user interfaces and workflows to meet specific requirements. Moreover, Label Studio Enterprise integrates effortlessly with major cloud storage services and various ML/AI models, thus streamlining processes such as pre-annotation, AI-assisted labeling, and generating predictions for model assessment. The innovative Prompts feature allows users to utilize large language models to quickly create precise predictions, facilitating the rapid labeling of thousands of tasks. Its capabilities extend to multiple labeling applications, encompassing text classification, named entity recognition, sentiment analysis, summarization, and image captioning, making it an essential tool for various industries. Additionally, the platform's user-friendly design ensures that teams can efficiently manage their data labeling projects while maintaining high standards of accuracy.

OCI Data Labeling is a powerful tool designed for developers and data scientists to create precisely labeled datasets essential for training AI and machine learning models. This service accommodates various formats, including documents (such as PDF and TIFF), images (like JPEG and PNG), and text, enabling users to upload unprocessed data, apply various annotations—such as classification labels, object-detection bounding boxes, or key-value pairs—and then export the annotated results in line-delimited JSON format, which facilitates smooth integration into model-training processes. It also provides customizable templates tailored for different annotation types, intuitive user interfaces, and public APIs for efficient dataset creation and management. Additionally, the service ensures seamless interoperability with other data and AI services, allowing for the direct feeding of annotated data into custom vision or language models, as well as Oracle's AI offerings. Users can leverage OCI Data Labeling to generate datasets, create records, annotate them, and subsequently utilize the exported snapshots for effective model development, ensuring a streamlined workflow from data labeling to AI model training. Consequently, the service enhances the overall productivity of teams focusing on AI initiatives.

John Snow Labs' Generative AI Lab stands as a pioneering platform aimed at equipping businesses with the resources to create, tailor, and launch advanced generative AI models. This lab features a comprehensive, all-in-one solution that facilitates the seamless incorporation of generative AI into various business functions, ensuring accessibility for organizations across diverse sectors and sizes. Users benefit from a no-code environment, which empowers them to design complex AI models without requiring significant programming skills. This approach fosters an inclusive AI development landscape, allowing business professionals, data scientists, and developers to work together in generating and implementing models that convert data into valuable insights. Furthermore, the platform is underpinned by an extensive array of pre-trained models, sophisticated NLP features, and a detailed suite of tools that enhance the customization of AI to meet unique business requirements. Thus, organizations can leverage the full potential of generative AI to drive innovation and efficiency in their operations.

Manage unstructured data to develop AI solutions in record time. Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone. Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.

Anolytics specializes in providing data annotation services for images, videos, and text, specifically tailored for machine learning and AI-driven computer vision applications. Their offerings include an economical annotation service aimed at facilitating the development of machine learning and artificial intelligence models. By utilizing various annotation techniques, Anolytics ensures that the data is accurately and precisely annotated, whether in text, image, or video formats. The company excels in Image Annotation, Video Annotation, and Text Annotation, maintaining high standards of accuracy throughout the process. Anolytics delivers a comprehensive range of data annotation services essential for training in both machine learning and deep learning environments. Their services encompass Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation, and 3D Cuboid Annotation, catering to diverse industries such as healthcare, autonomous driving, drone operations, retail, security surveillance, and agriculture. With a focus on scalability, Anolytics ensures its solutions are available with rapid turnaround times and competitive pricing for clients around the world, thereby enhancing their accessibility and effectiveness in various applications. This commitment to quality and efficiency positions Anolytics as a leader in the data annotation industry.

Pure Moderation stands out as a worldwide provider of business process outsourcing solutions, offering a diverse array of services tailored to meet the specific demands of our partners. Our mission is to deliver cost-effective solutions that enhance operational efficiency for businesses of all sizes. Whether your needs involve minor, time-sensitive tasks or extensive, large-scale operations, our adaptable team is equipped to swiftly adjust to your requirements. With multiple office locations across Asia, Pure Moderation employs various multilingual teams to offer comprehensive support. We cater to a diverse clientele, from emerging startups to established multinational corporations, ensuring that we can assist businesses regardless of their scale. As a recognized leader in the BPO sector, we boast extensive experience, manage a substantial volume of interactions monthly, and maintain an impressive client retention rate. Additionally, we take pride in our post-sale client support, which encompasses reliable guarantees, employee training, and both onsite and offsite assistance. Our commitment to excellence ensures that our partners can focus on their core business while we handle the intricacies of their operational needs.

Utilizing Automaton AI's ADVIT platform, you can effortlessly create, manage, and enhance high-quality training data alongside DNN models, all from a single interface. The system automatically optimizes data for each stage of the computer vision pipeline, allowing for a streamlined approach to data labeling processes and in-house data pipelines. You can efficiently handle both structured and unstructured datasets—be it video, images, or text—while employing automatic functions that prepare your data for every phase of the deep learning workflow. Once the data is accurately labeled and undergoes quality assurance, you can proceed with training your own model effectively. Deep neural network training requires careful hyperparameter tuning, including adjustments to batch size and learning rates, which are essential for maximizing model performance. Additionally, you can optimize and apply transfer learning to enhance the accuracy of your trained models. After the training phase, the model can be deployed into production seamlessly. ADVIT also supports model versioning, ensuring that model development and accuracy metrics are tracked in real-time. By leveraging a pre-trained DNN model for automatic labeling, you can further improve the overall accuracy of your models, paving the way for more robust applications in the future. This comprehensive approach to data and model management significantly enhances the efficiency of machine learning projects.

A platform designed for ML engineers that generates synthetic data, facilitating the creation of more advanced AI models. With straightforward APIs, users can quickly generate a wide variety of perfectly-labeled, photorealistic images as needed. This highly scalable, cloud-based system can produce millions of accurately labeled images, allowing for innovative data-centric strategies that improve model performance. The platform offers an extensive range of pixel-perfect labels, including segmentation maps, dense 2D and 3D landmarks, depth maps, and surface normals, among others. This capability enables rapid design, testing, and refinement of products prior to hardware implementation. Additionally, it allows for prototyping with various imaging techniques, camera positions, and lens types to fine-tune system performance. By minimizing biases linked to imbalanced datasets while ensuring privacy, the platform promotes fair representation across diverse identities, facial features, poses, camera angles, lighting conditions, and more. Collaborating with leading customers across various applications, our platform continues to push the boundaries of AI development. Ultimately, it serves as a pivotal resource for engineers seeking to enhance their models and innovate in the field.

We guarantee top-notch service level agreements (SLAs) exceeding 95%, even for the most intricate workflows. Our dedicated team is on hand to assist with everything, from establishing a solid quality evaluation framework to addressing unique edge cases. As a socially responsible AI organization, we have created economic opportunities for more than 52,000 individuals from underrepresented and disadvantaged backgrounds. Through machine learning-assisted annotation, we achieve efficiency improvements of up to four times for single-class tasks. Our agile approach allows us to swiftly adjust to changes in project demands, focus shifts, and unforeseen challenges. Our ISO-certified delivery centers, along with biometric and two-factor authentication, ensure a secure operational environment. We facilitate the seamless reorganization of tasks, offer constructive feedback, and oversee models in active use. Our services encompass all data types, enabling you to achieve more with fewer resources. By integrating machine learning with human oversight, we meticulously filter data and curate images that align with your specific requirements. You will receive example results that adhere to your initial criteria, and we will collaborate with you to pinpoint edge cases while suggesting optimal annotation practices. Additionally, our commitment to quality ensures that every step of the process enhances the overall effectiveness of your project.

Shaip is a comprehensive AI data platform delivering precise and ethical data collection, annotation, and de-identification services across text, audio, image, and video formats. Operating globally, Shaip collects data from more than 60 countries and offers an extensive catalog of off-the-shelf datasets for AI training, including 250,000 hours of physician audio and 30 million electronic health records. Their expert annotation teams apply industry-specific knowledge to provide accurate labeling for tasks such as image segmentation, object detection, and content moderation. The company supports multilingual conversational AI with over 70,000 hours of speech data in more than 60 languages and dialects. Shaip’s generative AI services use human-in-the-loop approaches to fine-tune models, optimizing for contextual accuracy and output quality. Data privacy and compliance are central, with HIPAA, GDPR, ISO, and SOC certifications guiding their de-identification processes. Shaip also provides a powerful platform for automated data validation and quality control. Their solutions empower businesses in healthcare, eCommerce, and beyond to accelerate AI development securely and efficiently.

Deepen AI provides cutting-edge tools and services for multi-sensor data labeling and calibration, aimed at enhancing the training process for computer vision applications in autonomous vehicles, robotics, and beyond. Their annotation suite addresses numerous critical use cases, which include 2D and 3D bounding boxes, semantic and instance segmentation, polylines, and key points. Powered by artificial intelligence, the platform boasts pre-labeling features that can automatically tag up to 80 commonly used classes, resulting in a productivity boost of seven times. Additionally, it incorporates machine learning-assisted segmentation, enabling users to segment objects effortlessly with minimal clicks, alongside precise object detection and tracking across frames to eliminate redundancy and conserve time. Furthermore, Deepen AI’s calibration suite accommodates all essential sensor types, such as LiDAR, cameras, radar, IMUs, and vehicle sensors. These sophisticated tools facilitate seamless visualization and inspection of the integrity of multi-sensor data, while also allowing for the rapid calculation of intrinsic and extrinsic calibration parameters in mere seconds. By streamlining these processes, Deepen AI empowers developers to focus more on innovation and less on manual data handling.

Centific has developed a cutting-edge AI data foundry platform that utilizes NVIDIA edge computing to enhance AI implementation by providing greater flexibility, security, and scalability through an all-encompassing workflow orchestration system. This platform integrates AI project oversight into a singular AI Workbench, which manages the entire process from pipelines and model training to deployment and reporting in a cohesive setting, while also addressing data ingestion, preprocessing, and transformation needs. Additionally, RAG Studio streamlines retrieval-augmented generation workflows, the Product Catalog efficiently organizes reusable components, and Safe AI Studio incorporates integrated safeguards to ensure regulatory compliance, minimize hallucinations, and safeguard sensitive information. Featuring a plugin-based modular design, it accommodates both PaaS and SaaS models with consumption monitoring capabilities, while a centralized model catalog provides version control, compliance assessments, and adaptable deployment alternatives. The combination of these features positions Centific's platform as a versatile and robust solution for modern AI challenges.

DataForce serves as a worldwide platform dedicated to data gathering and labeling, merging advanced technology with a vast network of over one million contributors, scientists, and engineers. It provides secure and dependable AI services to companies across various sectors, including technology, automotive, and life sciences, thereby enhancing structured data and customer interactions. Being a member of the TransPerfect family, DataForce offers an extensive suite of services such as data collection, annotation, relevance rating, chatbot localization, content moderation, transcription, user studies, generative AI training, business process outsourcing, and bias reduction strategies. The DataForce platform is a proprietary tool crafted internally by TransPerfect, designed to cater to a wide array of data-centric projects with an emphasis on AI and machine learning functionalities. Its diverse capabilities encompass not only data annotation and collection but also community management, all aimed at bolstering relevance models, accuracy, and recall in data processes. By integrating these services, DataForce ensures that clients receive optimized and effective data solutions tailored to their specific needs.