# Best Data Labeling Software - Page 4

## How Many Data Labeling Software Products Does G2 Track?

**Total Products under this Category:** 116

### Category Stats (Aug 2026)

- **Average Rating:** 4.49/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Datature (+0.08%) - Among all products in this category, Datature recorded the largest rating increase compared to last month

_Last updated: August 07, 2026_

## How Does G2 Rank Data Labeling Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 1,800+ Authentic Reviews
- 116+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Data Labeling Software
 ![G2 Grid® for Data Labeling Software plotting products by satisfaction and market presence](https://www.g2.com/categories/data-labeling/grids.png?focus%5B%5D=128515&focus%5B%5D=125020&focus%5B%5D=168222&focus%5B%5D=78925&focus%5B%5D=87452&focus%5B%5D=126287&focus%5B%5D=125450&focus%5B%5D=142739)

Highlighted products: SuperAnnotate, Roboflow, Encord, Labelbox, Amazon Sagemaker Ground Truth, V7 Darwin, Datasaur, and Sama.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-labeling/grids.json?focus%5B%5D=superannotate&focus%5B%5D=roboflow&focus%5B%5D=encord&focus%5B%5D=labelbox&focus%5B%5D=amazon-sagemaker-ground-truth&focus%5B%5D=v7-darwin&focus%5B%5D=datasaur&focus%5B%5D=sama)

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### Gemini Enterprise Agent Platform

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### [CrowdAI](https://www.g2.com/products/crowdai/reviews)

Everything you need to go from pixels to value

**Average Rating:** 4.3/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate CrowdAI?

- **Labeler Quality:** 10.0/10 (Category avg: 8.9/10)
- **Object Detection:** 8.3/10 (Category avg: 8.9/10)
- **Data Types:** 10.0/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.8/10)

#### Who Is the Company Behind CrowdAI?

- **Seller:** [CrowdAI](https://www.g2.com/sellers/crowdai)
- **Year Founded:** 2016
- **HQ Location:** San Francisco, US
- **Twitter:** @CrowdAIinc  
261 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5510e685074a6d5acdf738c86754d2723434f49819d010c9a20c7fff5288db8f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcrowdai%2F&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Small, 50% Large

#### What Are Recent G2 Reviews of CrowdAI?

**["Crowd AI - The most powerful AI tool"](https://www.g2.com/survey_responses/crowdai-review-8785253)**

**Rating:** 4.5/5.0 stars

_— varsha n._

[Read full review](https://www.g2.com/survey_responses/crowdai-review-8785253)

**["Exploring Crowd.AI"](https://www.g2.com/survey_responses/crowdai-review-8769301)**

**Rating:** 4.0/5.0 stars

_— Harsha T._

[Read full review](https://www.g2.com/survey_responses/crowdai-review-8769301)

### [Label Studio](https://www.g2.com/products/label-studio/reviews)

Label Studio Enterprise enables you to deliver the highest-quality ML/AI models faster. Evaluate model outputs and label high-quality datasets to train and fine-tune models that are aligned, accurate and compliant. The leading data science organizations choose Label Studio Enterprise due to its: - Accuracy: end-to-end quality review workflows, including auto validators, inter-annotator consensus scoring & quality reporting - Speed: Leverage auto-labeling, AI-assisted labeling & automation to optimize annotation workflows -Flexibility: Supports all data types & model integrations with an intuitive API and SDK for extensibility -Security & compliance: SOC2 & HIPAA certified, SSO/LDAP/SAML, role-based access control, and audit logs for on-prem or SaaS deployments - Open source community: Backed by the largest open source project & community focused on high-quality data for ML/AI

**Average Rating:** 3.5/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Label Studio?

- **Labeler Quality:** 6.7/10 (Category avg: 8.9/10)
- **Object Detection:** 6.7/10 (Category avg: 8.9/10)
- **Data Types:** 6.7/10 (Category avg: 8.9/10)
- **Ease of Use:** 6.7/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Label Studio?

- **Seller:** [HumanSignal](https://www.g2.com/sellers/humansignal)
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0eab69e58dbe7a1eeabfb3ad1976a45e1e3d2a0a4b989f85bd454bbab2937cff&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhumansignal%2F&secure%5Burl_type%5D=linkedin_company_website)  
51 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small, 100% Large

#### What Are G2 Users Discussing About Label Studio?

- [What is Heartex used for?](https://www.g2.com/discussions/what-is-heartex-used-for)

### [NLP Lab](https://www.g2.com/products/nlp-lab/reviews)

NLP Lab (previously known as Annotation Lab) is a Free End-to-End No-Code platform for document labeling and AI/ML model training. It enables domain experts - nurses, doctors, lawyers, accountants, investors, etc. – to extract meaningful facts from text documents, images or PDFs and train models that will automatically predict those facts on new documents. This is done by using state-of-the-art Spark NLP and Spark OCR pre-trained models or by tuning models to better handle specific use cases. John Snow Labs’ NLP Lab supports the end-to-end process from starting an annotation project to the deployment of a trained model, all without writing a line of code. Based on an auto-scaling architecture powered by Kubernetes, it can scale to many teams and projects. Enterprise-grade security is provided for free including support for air-gap environments, zero data sharing, role-based access, full audit trails, MFA, and identity provider integrations. It allows powerful experiments for model training and finetuning, model testing, and model deployment as API endpoints.

**Average Rating:** 4.0/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate NLP Lab?

- **Labeler Quality:** 8.3/10 (Category avg: 8.9/10)
- **Object Detection:** 8.3/10 (Category avg: 8.9/10)
- **Data Types:** 6.7/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind NLP Lab?

- **Seller:** [John Snow Labs](https://www.g2.com/sellers/john-snow-labs)
- **Year Founded:** 2015
- **HQ Location:** Lewes, US
- **Twitter:** @JohnSnowLabs  
44,139 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=be1e5af705c66d81a41259cbf227fa62b6c0da89c5f63d807ebcbd17cab654af&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjohnsnowlabs&secure%5Burl_type%5D=linkedin_company_website)  
98 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Medium, 50% Small

#### What Are Recent G2 Reviews of NLP Lab?

**["Great annotation tool"](https://www.g2.com/survey_responses/nlp-lab-review-7171774)**

**Rating:** 4.5/5.0 stars

_— Eric L._

[Read full review](https://www.g2.com/survey_responses/nlp-lab-review-7171774)

### [Plainsight](https://www.g2.com/products/plainsight/reviews)

Plainsight is a Vision AI platform that helps enterprises turn images and video into actionable operational intelligence. The Plainsight Platform simplifies the full computer vision lifecycle, from data collection and model training to deployment, monitoring, and continuous improvement. With Plainsight, teams can build, manage, and scale custom computer vision solutions that improve visibility, automate manual processes, reduce risk, and uncover insights from real-world environments. Plainsight is designed for enterprises that need production-ready Vision AI across industries such as restaurants, retail, manufacturing, logistics, and other operationally complex environments.For more information, visit https://plainsight.ai.

**Average Rating:** 4.5/5.0

**Total Reviews:** 5

#### How Do G2 Users Rate Plainsight?

- **Ease of Use:** 10.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Plainsight?

- **Seller:** [Plainsight](https://www.g2.com/sellers/plainsight)
- **Year Founded:** 2024
- **HQ Location:** Greater Seattle Area, US
- **Twitter:** @PlainsightAI  
1,456 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c63f83fc0f102e59896dfab1cbcf07f746977e4c758404fa6a7261f30bcacc61&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fplainsightai%2F&secure%5Burl_type%5D=linkedin_company_website)  
22 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 80% Small, 20% Medium

#### What Do G2 Reviewers Say About Plainsight?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **no-code and low-code options** of Plainsight, enhancing accessibility to AI vision capabilities.
- Users appreciate the **no-code and low-code options** , making AI vision more accessible to everyone.
- Users value the **no-code and low-code options** , making AI vision more accessible for everyone.
- Users find the **no-code and low-code options** of Plainsight make AI vision more accessible and user-friendly.
- Users find the **no-code and low-code options** of Plainsight enhance accessibility to AI vision technology.

##### Cons

- Users find the **required expertise** for advanced features challenging, even with no-code/low-code options available.
- Users find that some **advanced features** of Plainsight require technical knowledge despite no-code options available.

#### What Are Recent G2 Reviews of Plainsight?

**["Simplifying AI Vision with Powerful End-to-End Solutions"](https://www.g2.com/survey_responses/plainsight-review-10956680)**

**Rating:** 4.5/5.0 stars

_— Ajit S._

[Read full review](https://www.g2.com/survey_responses/plainsight-review-10956680)

**["An end-to-end innovative AI solution"](https://www.g2.com/survey_responses/plainsight-review-9581873)**

**Rating:** 5.0/5.0 stars

_— Nimish G._

[Read full review](https://www.g2.com/survey_responses/plainsight-review-9581873)

#### What Are G2 Users Discussing About Plainsight?

- [What is Plainsight used for?](https://www.g2.com/discussions/what-is-plainsight-used-for)

### [Acodis](https://www.g2.com/products/acodis/reviews)

Acodis has been pioneering document data automation since its founding in 2016. Today, global industry leaders in Life Sciences use Acodis to accelerate to accelerate their go-to-market motions in Quality and Regulatory. By automating repetitive document-based processes, Acodis decreases manual workload, increases data quality and enables many automation, genAI, and analytical use-cases. For instance, Acodis can turn clinical studies and certificates of analysis into structured and validated data, or automate the review of Batch Record documents. The solutions are based on one configurable platform which can absorb diverse inputs (pdfs, scans, xls, etc.), turn these documents into machine-readable data and take specific actions (extracting values, checking signatures, checking process steps, etc.). Powered by proprietary machine learning algorithm (e.g. GxP suitable), the solution is made available in dedicated instances in a secure cloud setup. Acodis can process any document type in any language and seamlessly integrates with your systems. You can easily export your data from Acodis via API to feed and enhance your ERP, CRM, DMS, RIM system of choice, including a standard integration in Veeva.

**Average Rating:** 4.8/5.0

**Total Reviews:** 28

#### How Do G2 Users Rate Acodis?

- **Ease of Use:** 9.1/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Acodis?

- **Seller:** [Acodis](https://www.g2.com/sellers/acodis)
- **Company Website:** www.acodis.io
- **Year Founded:** 2016
- **HQ Location:** Winterthur, CH
- **Twitter:** @acodis
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=54fbc631047866b5a32ac3a7ebb138bd697afd2ad3bc9c95adb10f7d71526fa8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Facodis-i-o%2F&secure%5Burl_type%5D=linkedin_company_website)  
26 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 45% Large, 31% Medium

#### What Do G2 Reviewers Say About Acodis?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Acodis for its **responsive customer support** , enhancing the overall experience with effective problem-solving.
- Users find Acodis to be **incredibly easy to use** , simplifying the mapping of diverse formats efficiently.
- Users value the **ease of use and robust integrations** of Acodis, facilitating efficient results for all users.
- Users commend the **responsive and proactive support** from Acodis, enhancing their document processing experience significantly.
- Users praise the **effective data extraction capabilities** of Acodis, simplifying processing of complex and diverse documents.

##### Cons

- Users face **OCR issues** with Acodis, particularly in handling irregular table structures and document allocation problems.
- Users face **technical issues** with Acodis, particularly in document allocation and data output processing challenges.
- Users experience **communication issues** with Acodis, suggesting a need for more proactive user engagement and clearer document handling.
- Users find the **complexity of features** in Acodis overwhelming, making initial use challenging and confusing.
- Users report **data inaccuracy** issues, particularly with document allocation and structured data output challenges.

#### What Are Recent G2 Reviews of Acodis?

**["High-Performance Document Research with Superior Support"](https://www.g2.com/survey_responses/acodis-review-12645844)**

**Rating:** 4.5/5.0 stars

_— Anja W._

[Read full review](https://www.g2.com/survey_responses/acodis-review-12645844)

**["Overall, a very professional and pleasant service"](https://www.g2.com/survey_responses/acodis-review-11881995)**

**Rating:** 4.5/5.0 stars

_— Verified User in Chemicals_

[Read full review](https://www.g2.com/survey_responses/acodis-review-11881995)

#### What Are G2 Users Discussing About Acodis?

- [What is Acodis used for?](https://www.g2.com/discussions/what-is-acodis-used-for)

### [Avala](https://www.g2.com/products/avala/reviews)

Avala provides more accurately labeled AI data faster, with minimal setup and training time. Avala's comprehensive, open platform caters to the entire AI Ops workflow, combining dataset curation and management, world-class expertise for data labeling and human feedback, and model training, verification, and deployment. - Curate, label, and deploy your datasets and models 10x faster. - Audit models with ease, with intuitive data visualization and management - Drag and drop annotation project builder with built in training material Avala provides ethical and equitable data labeling without sacrificing quality or security. Pioneering a radically different approach to ethical AI deployment, revolutionizing how people can contribute to, develop, and benefit from AI with a collaborative marketplace of datasets, labelers, and models in an ecosystem of products and services that directly address the challenges of AI alignment. Avala offers a unique 'manufacturing pipeline' approach to labeling: - Divides labeling tasks into smaller, simpler pieces, allowing labelers to become expert in each task more quickly. - Saves ML engineers hundreds of hours of effort in developing training materials per labeling project. - Delivers the fastest, most accurate data labeling with reduced algorithmic bias and improved data quality

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Avala?

- **Labeler Quality:** 6.7/10 (Category avg: 8.9/10)
- **Object Detection:** 8.3/10 (Category avg: 8.9/10)
- **Data Types:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Use:** 6.7/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Avala?

- **Seller:** [Avala AI](https://www.g2.com/sellers/avala-ai)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=63002258e1f76e82053eb490c71f604659e663523d196f257ecdb509a65692e9&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Favala-ai&secure%5Burl_type%5D=linkedin_company_website)  
84 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Are Recent G2 Reviews of Avala?

**["Best labelling for Point cloud"](https://www.g2.com/survey_responses/avala-review-9694897)**

**Rating:** 4.0/5.0 stars

_— Verified User in Research_

[Read full review](https://www.g2.com/survey_responses/avala-review-9694897)

### [Bounding Boxes for Machine Learning and Computer Vision Datasets](https://www.g2.com/products/bounding-boxes-for-machine-learning-and-computer-vision-datasets/reviews)

Data labeling services for bounding boxes in machine learning and computer vision datasets: draw a box around an area of interest and annotate it with a category from upto 10 categories.

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind Bounding Boxes for Machine Learning and Computer Vision Datasets?

- **Seller:** [AnnotateIt](https://www.g2.com/sellers/annotateit)
- **HQ Location:** Atlanta, GA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Are Recent G2 Reviews of Bounding Boxes for Machine Learning and Computer Vision Datasets?

**["Bounding boxes for ML and CV data sets works great for generating training data"](https://www.g2.com/survey_responses/bounding-boxes-for-machine-learning-and-computer-vision-datasets-review-5020855)**

**Rating:** 4.0/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/bounding-boxes-for-machine-learning-and-computer-vision-datasets-review-5020855)

#### What Are G2 Users Discussing About Bounding Boxes for Machine Learning and Computer Vision Datasets?

- [What is Bounding Boxes for Machine Learning and Computer Vision Datasets used for?](https://www.g2.com/discussions/what-is-bounding-boxes-for-machine-learning-and-computer-vision-datasets-used-for)

### [jpgtotext.com](https://www.g2.com/products/jpgtotext-com/reviews)

An Image to Text Converter is an online OCR (Optical character recognition) tool that extracts text from images and converts it into editable text. This means you can easily copy, paste, and edit text from images, such as JPGs and PNGs, without the hassle of manual typing.

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate jpgtotext.com?

- **Ease of Use:** 10.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind jpgtotext.com?

- **Seller:** [jpegtotext.com](https://www.g2.com/sellers/jpegtotext-com)
- **Year Founded:** 2021
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=aa708316f3bcd188c1567e61a2dca8703ee49495cbf271cb54a64b6c6bf6ab99&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fshowcase%2Fjpgtotext-com&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of jpgtotext.com?

**["Simple, Time-Saving Text Extraction for Clear Scanned Documents"](https://www.g2.com/survey_responses/jpgtotext-com-review-13139856)**

**Rating:** 4.0/5.0 stars

_— Muzammil M._

[Read full review](https://www.g2.com/survey_responses/jpgtotext-com-review-13139856)

### [Labeling AI](https://www.g2.com/products/labeling-ai/reviews)

Labeling AI is a deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available. Labeling AI is an innovative tool that can save your time. Auto labeling performs the labeling process of large datasets with minimal human intervention, required only to review the auto labeled data. Here is how it works in 3 simple steps: 1. Labeling Manually - Manually generate 100 labeled data. 2. Training Model - Train an auto labeling AI with the 100 pre-labeled data. Review and correct the results to enhance auto labeling performance. 3. Deploy the best AI - Repeat the previous step to generate 1,000, 10,000, or 100,000 auto-labeled data. Transform your auto labeling AI into an object detection AI model to perform object detection as needed. Labeling AI offers a variety of options to easily label your data, including bounding and polygon tools.

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Labeling AI?

- **Labeler Quality:** 8.3/10 (Category avg: 8.9/10)
- **Object Detection:** 10.0/10 (Category avg: 8.9/10)
- **Data Types:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Use:** 10.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Labeling AI?

- **Seller:** [DSLAB GLOBAL](https://www.g2.com/sellers/dslab-global-6ecf3847-7a64-4cb8-a386-2e140dd4103d)
- **Year Founded:** 2007
- **HQ Location:** Miami, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a1700596c8557e07124c15e42ae814576d81b49a453314a109f7d39d85db9ed2&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdslaboratories&secure%5Burl_type%5D=linkedin_company_website)  
87 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Labeling AI?

**["Get Labeling tasks done the easy way"](https://www.g2.com/survey_responses/labeling-ai-review-6595930)**

**Rating:** 4.0/5.0 stars

_— Verified User in Media Production_

[Read full review](https://www.g2.com/survey_responses/labeling-ai-review-6595930)

#### What Are G2 Users Discussing About Labeling AI?

- [What is Labeling AI used for?](https://www.g2.com/discussions/what-is-labeling-ai-used-for)

### [PixlData](https://www.g2.com/products/pixldata/reviews)

PixlData is a managed data labeling and annotation service provider headquartered in Ankara, Turkey. We help AI and machine learning teams across the globe build high-quality, production-ready training datasets, faster and at scale. We specialize in multimodal data annotation, covering the full spectrum of data types that modern AI models require: image annotation, video annotation, text and NLP labeling, audio transcription, LiDAR and 3D point cloud annotation, and medical imaging. Whether you're building computer vision models, training large language models, developing autonomous systems, or advancing healthcare AI, PixlData delivers the labeled data you need with precision and consistency. What sets PixlData apart is our hybrid approach to data labeling. Every project begins with AI-assisted pre-labeling to accelerate throughput, followed by expert human review and multi-stage quality control to ensure annotation accuracy. This closed-loop workflow significantly reduces turnaround time without compromising on data quality, a critical advantage for teams working under tight development cycles. Our annotation services are trusted by clients in defense, automotive, retail, and technology sectors. We handle projects of all sizes from targeted pilot datasets to large-scale, ongoing annotation pipelines with dedicated project managers and annotators who understand your domain. Core services include: - Image and video annotation (bounding boxes, polygons, semantic segmentation, keypoints, instance segmentation) - Text classification, named entity recognition (NER), sentiment analysis, and LLM prompt/response evaluation - Audio transcription and speech labeling - LiDAR and 3D point cloud annotation for autonomous driving and robotics - Medical image annotation (DICOM, radiology, pathology) - Data quality assurance and inter-annotator agreement scoring We operate with enterprise-grade data security practices and full compliance with GDPR requirements, making us a reliable partner for clients handling sensitive or proprietary datasets. PixlData also offers PixlHub, a self-serve SaaS annotation platform for teams that prefer to manage labeling in-house combining the same AI pre-labeling engine with an intuitive interface for image, text, audio, video, and medical data annotation. From first dataset to production-scale pipelines, PixlData is built to grow with your AI ambitions.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate PixlData?

- **Ease of Use:** 8.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind PixlData?

- **Seller:** [PixlData](https://www.g2.com/sellers/pixldata)
- **Year Founded:** 2023
- **HQ Location:** Ankara, TR
- **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=012a00569bb2aff3a4bb7aeef399e130ccbab2f3e0563a417bb9ec3972987547&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Fpixldata&secure%5Burl_type%5D=linkedin_company_website)  
4 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of PixlData?

**["Flexible Annotation Workflows with Strong Schema Support and Helpful AI Assist"](https://www.g2.com/survey_responses/pixldata-review-12761095)**

**Rating:** 4.5/5.0 stars

_— Onur P._

[Read full review](https://www.g2.com/survey_responses/pixldata-review-12761095)

### [Surge AI](https://www.g2.com/products/surge-ai/reviews)

We offer an Enterprise plan for teams that need high volume, fully managed data labeling services with guaranteed SLAs — we’ll help you create guidelines, build you custom labeling teams, and manage quality controls end to end.

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Surge AI?

- **Labeler Quality:** 10.0/10 (Category avg: 8.9/10)
- **Object Detection:** 10.0/10 (Category avg: 8.9/10)
- **Data Types:** 10.0/10 (Category avg: 8.9/10)
- **Ease of Use:** 10.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Surge AI?

- **Seller:** [Surge AI](https://www.g2.com/sellers/surge-ai)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1f23d9800e4d3780ce5f6d0c4d4b8fac27d012697909b361765bbbef48429707&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsurge-ai%2F&secure%5Burl_type%5D=linkedin_company_website)  
184 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Do G2 Reviewers Say About Surge AI?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **responsive customer support** of Surge AI, enhancing their experience and aiding in efficient task management.
- Users value the **flexible data labeling workflows** of Surge AI, enabling easy task setup and high-quality results.
- Users find Surge AI's **ease of use** invaluable, simplifying complex tasks and enhancing workflow efficiency.
- Users value the **efficiency** of Surge AI, enabling quick task setup and real-time progress monitoring.
- Users find Surge AI to be **incredibly helpful** , appreciating its ease of use and responsive customer support.

##### Cons

- Users find the pricing of Surge AI **expensive** , particularly challenging for small projects or startups with limited budgets.
- Users note a **lack of features** , such as deeper analytics and easier access to advanced options, impacting usability.
- Users find the **limited tools** hinder accessibility and analytics, especially for those on tighter budgets.

#### What Are Recent G2 Reviews of Surge AI?

**["Fast, reliable, and scalable for large-scale AI data tasks"](https://www.g2.com/survey_responses/surge-ai-review-10898009)**

**Rating:** 5.0/5.0 stars

_— Cristian C._

[Read full review](https://www.g2.com/survey_responses/surge-ai-review-10898009)

### [TaQadam Image Annotation](https://www.g2.com/products/taqadam-image-annotation/reviews)

TaQadam means Progress. TaQadam is a female founded startup that aims to advance economic opportunity for youth and democratize GEO-AI. TaQadam develops imagery solutions for market intelligence, monitoring and measuring of business risks and vulnerabilities. We believe the development of a global map of physical assets and infrastructure is essential in today’s context. Identifying assets (e.g. mines, farm equipment, schools) and their features (e.g. cooling, water tanks, construction materials) is a way to build alternative data for sustainable growth and risk mitigation. Extending an economic opportunity to disadvantaged youth through our image annotation work is at the core of our business.

**Average Rating:** 3.5/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate TaQadam Image Annotation?

- **Object Detection:** 8.3/10 (Category avg: 8.9/10)
- **Data Types:** 8.3/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind TaQadam Image Annotation?

- **Seller:** [TaQadam](https://www.g2.com/sellers/taqadam)
- **Year Founded:** 2017
- **HQ Location:** New York, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9268cfce8d0f0bfba13cea3ed1568da1ec147c597ed3795cc05f4a2c6eb3846b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18244610&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are G2 Users Discussing About TaQadam Image Annotation?

- [What is TaQadam Image Annotation used for?](https://www.g2.com/discussions/what-is-taqadam-image-annotation-used-for)

### [Toloka Platform](https://www.g2.com/products/toloka-platform/reviews)

Toloka is a global leader in expert-curated data for AI development, headquartered in Amsterdam (Netherlands). With over a decade of experience, the company recently secured a strategic investment led by Bezos Expeditions, the investment arm of Jeff Bezos, with participation from Mikhail Parakhin — CTO of Shopify and board advisor to GenAI leaders like Perplexity, Liquid.ai, and Recraft, to scale its mission of building safe, human-centric AI. Toloka bridges the gap between raw data and model performance for tech giants and frontier AI labs. The platform provides a specialized human-in-the-loop (HITL) environment for RLHF (Reinforcement Learning from Human Feedback), instruction tuning, model evaluation, and much more. Key features include an expert network of thousands of contributors across 90+ domains, an AI-powered assistant for rapid project setup, and support for different types of data including text, image, video, and audio. Toloka solves the data quality bottleneck by delivering high-precision, human-verified dataset annotation. Its primary value lies in its ability to handle complex reasoning, coding, and safety tasks that automated-only systems cannot, ensuring AI models are not only accurate but also helpful, safe, and contextually aware. Languages Supported: Software Interface: English. Technical Documentation: English. Data Capabilities: Supports 40+ languages and 100+ countries for data labeling and expert tasks.

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate Toloka Platform?

- **Ease of Use:** 8.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Toloka Platform?

- **Seller:** [Toloka](https://www.g2.com/sellers/toloka)
- **Year Founded:** 2014
- **HQ Location:** Amsterdam, North Holland, Netherlands
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=51322f66c4e6e46b0d159ee23ad918683175711f403722decb42593abe3feb71&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftoloka%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,061 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Toloka Platform?

**["Clear onboarding process and professional communication."](https://www.g2.com/survey_responses/toloka-platform-review-13064443)**

**Rating:** 4.0/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/toloka-platform-review-13064443)

### [TrainingSet.AI Image And LiDAR Annotation Platform](https://www.g2.com/products/trainingset-ai-image-and-lidar-annotation-platform/reviews)

Trainingset.ai Platform receive your instructions and data via API call, Dashboard form or CSV upload, then your annotators in conjunction with our annotation & smart tools, AI and a Quality Assurance process, will help your annotators to resolve the task accurately in a very short time frame by, for example, annotating, labeling or categorizing your image or point cloud data

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind TrainingSet.AI Image And LiDAR Annotation Platform?

- **Seller:** [trainingset.ai](https://www.g2.com/sellers/trainingset-ai)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Are Recent G2 Reviews of TrainingSet.AI Image And LiDAR Annotation Platform?

**["AI in automotive industry"](https://www.g2.com/survey_responses/trainingset-ai-image-and-lidar-annotation-platform-review-5222062)**

**Rating:** 5.0/5.0 stars

_— Shree Guru G._

[Read full review](https://www.g2.com/survey_responses/trainingset-ai-image-and-lidar-annotation-platform-review-5222062)

#### What Are G2 Users Discussing About TrainingSet.AI Image And LiDAR Annotation Platform?

- [What is TrainingSet.AI Image And LiDAR Annotation Platform used for?](https://www.g2.com/discussions/what-is-trainingset-ai-image-and-lidar-annotation-platform-used-for)

### [Universal Data Tool](https://www.g2.com/products/universal-data-tool/reviews)

The Universal Data Tool is a web/desktop app for editing and annotating images, text, audio, documents and to view and edit any data defined in the extensible .udt.json and .udt.csv standard. Collaborate with others in real time, easily train labelers, integrate into your applications. Perform Image Segmentation, Image Classification, Audio Transcription, Named Entity Recognition (NER) and Named Entity Linking (NEL). Run with docker, use with Tensorflow, Keras, or Fast.ai.

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind Universal Data Tool?

- **Seller:** [Universal Data Tool](https://www.g2.com/sellers/universal-data-tool)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Universal Data Tool?

**["Collaborative, Easy-to-Use, Great for Developers OR Labelers"](https://www.g2.com/survey_responses/universal-data-tool-review-4399006)**

**Rating:** 5.0/5.0 stars

_— Severin I._

[Read full review](https://www.g2.com/survey_responses/universal-data-tool-review-4399006)

**["Universal Data Tool by Finrod"](https://www.g2.com/survey_responses/universal-data-tool-review-5273862)**

**Rating:** 4.0/5.0 stars

_— Victor C._

[Read full review](https://www.g2.com/survey_responses/universal-data-tool-review-5273862)

#### What Are G2 Users Discussing About Universal Data Tool?

- [What is Universal Data Tool used for?](https://www.g2.com/discussions/what-is-universal-data-tool-used-for)

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 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated April 9, 2026

Data labeling software helps data science and machine learning teams source, manage, annotate, and classify unstructured data, including text, images, videos, audio, and PDFs, into labeled datasets that create efficient training data pipelines for building and improving AI and ML models.

### Core Capabilities of Data Labeling Software

To qualify for inclusion in the Data Labeling category, a product must:

- Integrate a managed workforce and/or data labeling service
- Ensure labels are accurate and consistent
- Give the user the ability to view analytics that monitor the accuracy and speed of labeling
- Allow annotated data to be integrated into data science and machine learning platforms to build machine learning models

### Common Use Cases for Data Labeling Software

ML engineers, data scientists, and AI teams use data labeling tools to build high-quality training datasets across a wide range of application types. Common use cases include:

- Annotating images, video, and text for computer vision, NLP, and speech recognition model training
- Fine-tuning and evaluating large language models (LLMs) with human-labeled feedback data
- Building training pipelines for object detection, named entity recognition, and sentiment analysis applications

### How Data Labeling Software Differs from Other Tools

Data labeling is a foundational building block of the AI development lifecycle, distinct from the downstream tools it feeds. It integrates with [generative AI software](https://www.g2.com/categories/generative-ai), [MLOps platforms](https://www.g2.com/categories/mlops-platforms), [data science and machine learning platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [LLM software](https://www.g2.com/categories/large-language-models-llms), and [active learning tools](https://www.g2.com/categories/active-learning-tools) to support the full model development pipeline.

### Insights from G2 on Data Labeling Software

Based on category trends on G2, labeling accuracy controls and workforce management features stand out as standout capabilities. Faster training data pipeline construction and improved model accuracy stand out as primary outcomes of adoption.

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