---
title: Encord Reviews
meta_title: 'Encord Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 65 reviews by the users' company size, role or industry to
  find out how Encord works for a business like yours.
aggregate_rating:
  rating_value: 4.8
  review_count: 65
  scale: '5'
date_modified: '2026-07-17'
parent_category:
  name: Artificial Intelligence
  url: https://www.g2.com/categories/artificial-intelligence
---

# Encord Reviews
**Vendor:** Encord  
**Category:** [Active Learning Tools](https://www.g2.com/categories/active-learning-tools)  
**Average Rating:** 4.8/5.0  
**Total Reviews:** 65
## About Encord
Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, Zipline, AXA, and Flock Safety. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.



## Encord Pros & Cons
**What users like:**

- Users commend the **responsive customer support** from Encord, ensuring quick assistance during their project needs. (5 reviews)
- Users praise Encord for its **annotation efficiency** , streamlining workflows and enhancing speed in data curation tasks. (3 reviews)
- Users value the **intuitive interface and seamless integration** of Encord&#39;s annotation tools for efficient data workflow. (3 reviews)
- Users appreciate the **efficiency** of Encord, highlighting smooth workflows and quick integration that enhances their productivity. (3 reviews)
- Users value Encord&#39;s **intuitive interface and seamless integration** , enhancing their workflows with efficient data curation and support. (3 reviews)
- Automation (2 reviews)
- Collaboration (2 reviews)
- Easy Integrations (2 reviews)
- Implementation Ease (2 reviews)
- Integrations (2 reviews)

**What users dislike:**

- Users find **complex automation** challenging, though the supportive team helps navigate the intricacies of custom workflows. (1 reviews)
- Users find it challenging to stay current due to **frequent updates** , but support from the team is helpful. (1 reviews)
- Users find the **lack of guidance** challenging due to rapid feature updates, despite helpful customer support. (1 reviews)

## Encord Reviews
  ### 1. Strong video labeling platform with excellent support

**Rating:** 5.0/5.0 stars

**Reviewed by:** Angela S. | Machine Learning Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** January 30, 2026

**What do you like best about Encord?**

The customer support experience has been great. The team is clearly listening to feedback and actively developing new features based on what customers need. Our customer success manager always comes to meetings prepared with technical examples and walks us through solutions.

**What do you dislike about Encord?**

It would be helpful to have more functionality for analyzing video clips, in addition to the existing tools for frame-by-frame analysis. That said, this has not hindered our ability to work on the platform and is already on the Encord team's radar.

**What problems is Encord solving and how is that benefiting you?**

We were using another open-source tool for video annotation and running into performance bottlenecks - slow loading times and limited video annotation capabilities. The S3 integration in Encord means our data pipeline flows seamlessly without manual data transfers or memory management headaches. Native video support eliminates the technical friction we used to deal with. Loading times are better than our previous setup.

Furthermore, Encord's Index functionality lets us see our entire dataset in one place, which helps us identify gaps and improvements in our data. Having the ability to deeply analyze our dataset without creating the tool ourselves has saved a lot of time. We're not building and maintaining internal annotation tooling anymore. Our engineers can focus on model development instead of infrastructure. For a team moving fast, that matters.

  ### 2. Built for fast model development cycles

**Rating:** 5.0/5.0 stars

**Reviewed by:** Brian E. | Backend Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 15, 2026

**What do you like best about Encord?**

We build a lot of infrastructure in-house, but made a strategic decision to use best-in-class tools that Encord offers for training data curation and annotation. The S3 integration works really well - we connected our AWS pipeline and now data just flows where it needs to go. Our team can pull up everything in Encord to review and annotate without any problems. The interface is intuitive and AI features like SAM integration saves us a lot of time. The whole workflow from ingestion to export is smooth, which matters when you move fast. When we do hit issues, their support team is quick to respond through Slack.

**What do you dislike about Encord?**

We haven't run into any major issues with the platform.

**What problems is Encord solving and how is that benefiting you?**

We needed an annotation platform that could keep up with our model development velocity. Data annotation workflow can't be a bottleneck. Encord became our go-to platform for curating and annotating training data. The AWS integration means video data from our collection systems flows into Encord where it can be annotated and fed back into the pipeline. The UI and AI-assisted features cut down manual labeling time significantly. Bottom line: we can annotate new data and deploy updated models within 24 hours. That speed is critical for our product development timeline, especially for our physical security use cases.

  ### 3. The Right Partner to Accelerate Regulated AI Development

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ethan B. | Chief Technology Officer, Small-Business (50 or fewer emp.)

**Reviewed Date:** December 30, 2025

**What do you like best about Encord?**

Three things stood out when we chose Encord for our medical imaging AI project. First, the hands-on partnership approach. From the start, we had direct access to Encord's leadership team for honest, down-to-earth conversations about our product goals and technical requirements. Second, Encord understood the complexity of our FDA submission pathway. They set up a multi-stage peer review annotation workflow that provides the traceability and quality controls we need for regulatory approval. When we needed specialized medical image segmentation, Encord's team extended training beyond the initial commitment to ensure annotators understood the clinical nuances our domain experts required. Third, the flexibility as a startup partner. When our development timeline shifted, Encord worked with us to adapt the engagement structure to align with our needs and other constraints.

**What do you dislike about Encord?**

Nothing significant. The platform and partnership have exceeded our expectations.

**What problems is Encord solving and how is that benefiting you?**

We're building an AI-powered medical imaging tool that requires FDA submission. We needed an annotation platform that could handle complex medical imaging requirements, HIPAA-compliant data handling, and support a rigorous regulatory approval process. Encord solved several critical problems: They built annotation workflows with the multi-stage peer review and traceability required for FDA submission. HIPAA compliance was already built into the platform. Their support team understood the clinical complexity of medical image analysis and adapted training for our specialized use case. The platform gave us confidence that our training data would meet the quality standards regulators expect. The benefit has been clear: Encord helped us expedite our development timeline without sacrificing annotation quality. As a startup racing toward FDA submission, having the right data infrastructure partner has been essential for us.

  ### 4. Simple and Intuitive with Helpful Step-by-Step Guidance

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sarah H. | Director of Sales, Enterprise (> 1000 emp.)

**Reviewed Date:** November 21, 2025

**What do you like best about Encord?**

I love the customer support and how responsive they are.

**What do you dislike about Encord?**

 Although creating custom workflows can be tricky, they have a great team to offer support along the way.

**What problems is Encord solving and how is that benefiting you?**

Encord works more as a partner for us. We’re able to refer customers to use the platform in exchange for them using our annotation services, and vice versa. It creates a mutual benefit where both sides can support each other’s workflows and projects.

  ### 5. Amazing experience migrating our Computer Vision annotation process!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jeremie M. | Director of Product, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 17, 2025

**What do you like best about Encord?**

Encord is best in class when it comes to video-first annotation, which is our primary use case. The wealth of features (from available models to workflows for annotations) and their stellar customer support team make it an incredibly useful tool, while being surprisingly easy to implement and integrate with existing workflows.

**What do you dislike about Encord?**

The Encord team deploys new features so often that staying current with best practices can be hard. But their customer success team is there to help keep us in the loop!

**What problems is Encord solving and how is that benefiting you?**

Encord makes data annotation and model training easier and more efficient, ultimately reducing our model deployment costs and timelines.

  ### 6. Efficient Annotation for Retail Data

**Rating:** 5.0/5.0 stars

**Reviewed by:** Samuel A. | Small-Business (50 or fewer emp.)

**Reviewed Date:** May 16, 2023

**What do you like best about Encord?**

This was the first tool we found that could handle the enormous labeling taxonomy we had. We have to catalog many different types of products and Encord’s ontology feature was extremely useful in packing everything into a usable structure. The interface is also quite intuitive and the hotkeys make it easy for our team to navigate and speed up the annotation process.

**What do you dislike about Encord?**

While the tool is quite powerful, it could benefit from some customization options. The ability to personalize hotkeys and tool settings according to user preference would greatly enhance the user experience.

**What problems is Encord solving and how is that benefiting you?**

We use computer vision for inventory management in retail. The data annotation tool has significantly streamlined our annotation process, allowing us to annotate a large volume of images from our stores. This has led to improved accuracy in our computer vision models, which in turn contributes to efficient store operations and ultimately increased revenue.
This tool has cemented its place in our data pipeline and the Encord team has become a reliable component of our infrastructure support.

  ### 7. Simple to use tool for collaboratively annotating data.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Azreen H. | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 11, 2023

**What do you like best about Encord?**

The platform’s collaborative feature has allowed us to improve the accuracy of all of our annotations resulting in a significant uptick in the quality of the annotations. A level deeper, we’ve really enjoyed the level of granularity of annotations + frame classifications we’re able to get to with the ontologies.

**What do you dislike about Encord?**

There were some initial bugs with the new workflow feature, but they seem to be  sorted now. Overall, we’re very happy with the platform.

**What problems is Encord solving and how is that benefiting you?**

The previous inability to create a feedback loop between our reviewers and our annotators with their collaborative platform. We’ve noticed this is one of the strongest pieces of the platform.

  ### 8. Streamlining Your Workflow with Task Management and Automation Tools

**Rating:** 5.0/5.0 stars

**Reviewed by:** Alve H. | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 01, 2023

**What do you like best about Encord?**

I like the ability of task management and automation tools to simplify and optimize complex workflows. Such tools can help increase efficiency and productivity, reduce errors and redundancies, and enable better collaboration among team members. The convenience of having everything organized and tracked in one place also adds to their appeal.

**What do you dislike about Encord?**

Occasional lag and latency issues lead to slower production sometimes.

**What problems is Encord solving and how is that benefiting you?**

Encord is solving several problems related to data labeling, which can be a time-consuming and expensive task for businesses and organizations that need high-quality labeled data for their machine learning models.
Time and cost: Data labeling can be a time-consuming and costly process, especially when done manually. Encord's platform provides an automated solution that can significantly reduce the time and cost involved in labeling large datasets.
Quality and accuracy: Data labeling is a critical step in machine learning, and the quality and accuracy of the labels are essential for the success of the model. Encord's platform uses advanced algorithms and machine learning techniques to ensure the highest quality and accuracy of labeled data.
Scalability: As the amount of data that needs to be labeled continues to grow, scalability becomes a significant challenge. Encord's platform is designed to scale with the needs of the business, allowing for large datasets to be labeled quickly and accurately.
By addressing these problems, Encord's data labeling platform is benefiting businesses and organizations by providing them with high-quality labeled data in a timely and cost-effective manner. This allows them to focus on developing and improving their machine learning models, leading to better insights, improved decision-making, and increased efficiency.

  ### 9. High Tech platform, absolute time saver

**Rating:** 5.0/5.0 stars

**Reviewed by:** Andrei I. | Small-Business (50 or fewer emp.)

**Reviewed Date:** May 16, 2023

**What do you like best about Encord?**

Well documented APIs! Sounds simple, yet can not be emphasized enough! Getting Encord to just work with our pipeline was a walk in the park, and for the one odd time when we had to contact support, their team has been amazing and extremely friendly. The annotation tool itself is pure gold, easily paying for itself through increased productivity!

**What do you dislike about Encord?**

Humble bragging, but they do an amazing job hyping up new features. For a normal API, this would not be a problem, but we have integrated our pipeline pretty deeply with Encord and would love a longer notice for new releases :)

**What problems is Encord solving and how is that benefiting you?**

Our main product depends on the quality of data, therefore a big chunk of our time is spent in manual processes and QA. This toold has helped us automate some of the pipelines and get rid of bottlenecks.

  ### 10. Great platform with exceptional tools

**Rating:** 5.0/5.0 stars

**Reviewed by:** Rasit Eren B. | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 20, 2023

**What do you like best about Encord?**

This annotation tool stands out from its competitors due to its impressive speed and remarkable stability. Moreover, its support for DICOM formatted files makes it an advantageous option for radiological studies. A crucial feature of any annotation platform is the ability to navigate seamlessly between sections during segmentation, which Encord accomplishes effortlessly. The platform's exceptional functionality to briefly categorize lesions during segmentation and subsequently procure statistics is highly commendable.

Encord boasts a wide range of segmentation tools, including the remarkable freehand drawing tool and various other options, making it a superior choice to other annotation platforms. Additionally, the brush tool is very user-friendly, contributing to the overall ease of use of the platform. The annotation tools are also highly intuitive, providing comprehensive coverage for various types of annotations.

Furthermore, Encord ensures seamless communication among engineers and other annotators, obviating the need for any additional communication platform. In summary, Encord offers exceptional functionality, ease of use, and versatility, making it an excellent option for annotation needs.

**What do you dislike about Encord?**

There is not much negative thing to tell about the platform

**What problems is Encord solving and how is that benefiting you?**

Managing the workflow efficiently



- [View Encord pricing details and edition comparison](https://www.g2.com/products/encord/reviews/encord-review-7304802?section=pricing&secure%5Bexpires_at%5D=2026-07-18+22%3A42%3A17+-0500&secure%5Bsession_id%5D=8cd65d22-c6d9-463a-9323-22abeaa25779&secure%5Btoken%5D=6b5604ae173ba2e832ae5aee5a0bd0b0fd6f7890bd2b13dd99db901cc4a4de02&format=llm_user)
## Encord Integrations
  - [Amazon Simple Storage Service (S3)](https://www.g2.com/products/amazon-simple-storage-service-s3/reviews)
  - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews)

## Encord Features
**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**System**
- Data Ingestion & Wrangling

**Quality**
- Labeler Quality
- Task Quality
- Data Quality
- Human-in-the-Loop

**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**Recognition Type**
- Emotion Detection
- Object Detection
- Text Detection
- Motion Analysis
- Logo Detection
- Explicit Content Detection
- Video Detection

**Model Training & Optimization - Active Learning Tools**
- Model Training Efficiency
- Automated Model Retraining
- Active Learning Process Implementation
- Iterative Training Loop Creation
- Edge Case Discovery

**Integration - Machine Learning**
- Integration

**Model Development**
- Language Support
- Drag and Drop
- Pre-Built Algorithms
- Model Training

**Management**
- Cataloging
- Monitoring
- Governing
- Model Registry

**Model Development**
- Feature Engineering

**Automation**
- Machine Learning Pre-Labeling
- Automatic Routing of Labeling

**Operations**
- Metrics
- Infrastructure management
- Collaboration

**Facial Recognition**
- Facial Analysis
- Face Comparison

**Data Management & Annotation - Active Learning Tools**
- Smart Data Triage
- Data Labeling Workflow Enhancement
- Error and Outlier Identification
- Data Selection Optimization
- Actionable Insights for Data Quality

**Learning - Machine Learning**
- Training Data
- Actionable Insights
- Algorithm

**Machine/Deep Learning Services**
- Computer Vision
- Natural Language Processing
- Natural Language Generation
- Artificial Neural Networks

**Machine/Deep Learning Services**
- Natural Language Understanding
- Deep Learning

**Image Annotation**
- Image Segmentation

- Object Detection
- Object Tracking
- Data Types

**Management**
- Cataloging
- Monitoring
- Governing

**Labeling**
- Model Training
- Bounding Boxes
- Custom Image Detection

**Model Performance & Analysis - Active Learning Tools**
- Model Performance Insights
- Cost-Effective Model Improvement
- Edge Case Integration
- Fine-tuning Model Accuracy
- Label Outlier Analysis

**Deployment**
- Managed Service
- Application
- Scalability

**Natural Language Annotation**
- Named Entity Recognition
- Sentiment Detection
- OCR

**Deployment**
- Integrations

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Speech Annotation**
- Transcription
- Emotion Recognition

**Generative AI**
- AI Text Generation
- AI Text Summarization
- AI Text-to-Image

**Agentic AI - Data Science and Machine Learning Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

## Top Encord Alternatives
  - [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) - 4.8/5.0 (353 reviews)
  - [Labelbox](https://www.g2.com/products/labelbox/reviews) - 4.5/5.0 (48 reviews)
  - [V7 Darwin](https://www.g2.com/products/v7-darwin/reviews) - 4.7/5.0 (55 reviews)

