Best Data Labeling Software

Compare the Top Data Labeling Software as of July 2025

What is Data Labeling Software?

Data labeling software is a tool that assists in the organization and categorization of large datasets. Data labeling tools enable data to be labeled with relevant tags depending on the purpose such as for machine learning, image annotation, or text classification. Data labeling software can also assist in categorizing input from customers so businesses can better understand their needs and preferences. The software typically comes with different features such as automated labeling, collaboration tools, and scaleable solutions to handle larger datasets. Compare and read user reviews of the best Data Labeling software currently available using the table below. This list is updated regularly.

  • 1
    Vertex AI
    Data Labeling in Vertex AI is a crucial step in the machine learning process, as it helps to accurately categorize and tag data for model training. Vertex AI provides automated and manual labeling options, allowing businesses to efficiently prepare large datasets for AI model training. With the platform’s advanced labeling tools, organizations can ensure the quality and accuracy of their labeled data, leading to improved model performance. New customers receive $300 in free credits to explore and experiment with data labeling services and streamline their data preparation workflows. By labeling data effectively, businesses can enhance the performance of their machine learning models and create more reliable AI solutions.
    Starting Price: Free ($300 in free credits)
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  • 2
    Athina AI

    Athina AI

    Athina AI

    Athina is a collaborative AI development platform that enables teams to build, test, and monitor AI applications efficiently. It offers features such as prompt management, evaluation tools, dataset handling, and observability, all designed to streamline the development of reliable AI systems. Athina supports integration with various models and services, including custom models, and ensures data privacy through fine-grained access controls and self-hosted deployment options. The platform is SOC-2 Type 2 compliant, providing a secure environment for AI development. Athina's user-friendly interface allows both technical and non-technical team members to collaborate effectively, accelerating the deployment of AI features.
    Starting Price: Free
  • 3
    Encord

    Encord

    Encord

    Achieve peak model performance with the best data. Create & manage training data for any visual modality, debug models and boost performance, and make foundation models your own. Expert review, QA and QC workflows help you deliver higher quality datasets to your artificial intelligence teams, helping improve model performance. Connect your data and models with Encord's Python SDK and API access to create automated pipelines for continuously training ML models. Improve model accuracy by identifying errors and biases in your data, labels and models.
  • 4
    Toloka AI

    Toloka AI

    Toloka AI

    Toloka AI offers a data-centric environment that supports fast and scalable AI development across the ML lifecycle with the help of human insight gathered in a responsible & secure way. Toloka is used by organizations in e-commerce, R&D, banking, autonomous vehicles, web services, and more. Toloka relies on a geographically diverse crowd of several million registered users and state-of-the-art technologies for managing data labeling and human-in-the-loop processes. Established in 2014, the company has offices around the world, with headquarters in Lucerne.
  • 5
    Kern

    Kern

    Kern AI

    kern shines where other approaches fail. We enable data-driven use cases in numerous industries and domains. If needed, fully inhouse. On public and private cloud or on-premises. The core of kern is Weak Supervision, a technique to automatically integrate noisy data heuristics. This enables 100x labeling speed. As we enrich your records with valuable metadata, this data can be prioritized and sliced. This ensures both saving time and increasing quality. kern is designed to integratae subject matter experts into the AI development cycle. Work in collaboration to solve actual pain points. The security of your data is our top priority. We offer kern both on public and private cloud as well as on-premises, ensuring high quality data security. Our labeling solution is designed to work with any kind of JSON structure. This means that we can work with many different formats, such as CSV files, texts, images or even time series data.
  • 6
    Snorkel AI

    Snorkel AI

    Snorkel AI

    AI today is blocked by lack of labeled data, not models. Unblock AI with the first data-centric AI development platform powered by a programmatic approach. Snorkel AI is leading the shift from model-centric to data-centric AI development with its unique programmatic approach. Save time and costs by replacing manual labeling with rapid, programmatic labeling. Adapt to changing data or business goals by quickly changing code, not manually re-labeling entire datasets. Develop and deploy high-quality AI models via rapid, guided iteration on the part that matters–the training data. Version and audit data like code, leading to more responsive and ethical deployments. Incorporate subject matter experts' knowledge by collaborating around a common interface, the data needed to train models. Reduce risk and meet compliance by labeling programmatically and keeping data in-house, not shipping to external annotators.
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