Introducing G2.ai, the future of software buying.Try now
Compare Appen and SuperAnnotate 
At a Glance
Market Segments
Small-Business (54.8% of reviews)
Small-Business (61.8% of reviews)
Entry-Level Pricing
SaaS subscription pricing dependent on use case and data type
Contact Us
Appen
Star Rating
(32)4.2 out of 5
Market Segments
Small-Business (54.8% of reviews)
Pros & Cons
Entry-Level Pricing
SaaS subscription pricing dependent on use case and data type
Browse all 2 pricing plansSuperAnnotate
Star Rating
(224)4.9 out of 5
Market Segments
Small-Business (61.8% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SuperAnnotate excels in user experience, with many praising its user-friendly interface and efficient project management tools. Users appreciate how it helps them organize and collaborate on annotation tasks seamlessly, making it a preferred choice for machine learning and AI projects.
- According to verified reviews, Appen offers flexibility for users looking to earn extra income through simple tasks. However, some users mention that the availability of work can be inconsistent, which may limit its appeal for those seeking steady opportunities.
- Reviewers mention that SuperAnnotate's built-in quality assurance tools significantly enhance the accuracy of annotations, a feature that users find particularly beneficial for maintaining high standards in their projects. This focus on quality is reflected in its higher ratings for task and data quality compared to Appen.
- Users say that Appen's customer support has room for improvement, with some expressing frustration over response times. In contrast, SuperAnnotate users frequently highlight the reliability of its support, contributing to a more positive overall experience.
- Reviewers highlight that SuperAnnotate's recent updates and features keep it aligned with user needs, as evidenced by its high scores in product direction and ease of use. This adaptability is a key factor in its growing popularity among users.
- According to recent feedback, while Appen provides opportunities for quick tasks, its overall user satisfaction lags behind SuperAnnotate, which consistently receives higher ratings across various metrics, indicating a stronger alignment with user expectations and needs.
Pricing
Entry-Level Pricing
Appen
Appen Data Annotation Platform
SaaS subscription pricing dependent on use case and data type
The industry’s most advanced AI-assisted data annotation platform used to collect and annotate data for training both computer vision and natural language processing AI models.
- Data annotation capabilities that support all data types (text, audio, image, video, sensor) and use cases including search relevance, computer vision, and natural language processing (NLP/Speech).
- Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.
- Smart Labeling capabilities have built-in Machine Learning assistance to save customers time, effort and money - delivering high-quality training data and accelerating the ROI and your AI initiatives.
SuperAnnotate
Pro
Contact Us
Get ready to scale your most sophisticated AI projects and MLOps needs
- Fully customizable multimodal editor
- Image, video, text, and audio editors
- Data curation and exploration
Free Trial
Appen
No trial information availableSuperAnnotate
Free Trial is available
Ratings
Meets Requirements
8.2
28
9.6
132
Ease of Use
8.2
28
9.6
137
Ease of Setup
8.6
12
9.6
96
Ease of Admin
9.2
8
9.6
51
Quality of Support
8.0
27
9.6
133
Has the product been a good partner in doing business?
8.5
8
9.7
52
Product Direction (% positive)
7.8
26
9.6
118
Features by Category
Data Governance
8.3
13
Not enough data
8.2
12
Not enough data
7.8
12
Not enough data
Data Preparation
8.3
13
Not enough data
8.2
13
Not enough data
7.9
12
Not enough data
7.9
12
Not enough data
Collaboration
8.1
12
Not enough data
8.1
13
Not enough data
8.2
11
Not enough data
8.0
11
Not enough data
Artificial Intelligence
8.3
11
Not enough data
7.2
10
Not enough data
7.4
11
Not enough data
Generative AI
7.6
7
Not enough data
8.3
7
Not enough data
Agentic AI - Machine Learning Data Catalog
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
9.8
10
Not enough data
9.2
11
Not enough data
9.3
9
Not enough data
9.7
10
Not enough data
9.5
10
Deployment
Not enough data
9.4
11
Not enough data
9.5
11
Not enough data
9.5
10
Not enough data
9.4
11
Not enough data
9.3
12
Management
Not enough data
9.3
9
Not enough data
9.0
10
Not enough data
9.2
8
Not enough data
9.6
8
Operations
Not enough data
9.3
9
Not enough data
9.2
8
Not enough data
9.2
8
Management
Not enough data
9.6
8
Not enough data
9.4
8
Not enough data
9.3
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Quality
8.5
11
9.7
84
8.7
10
9.7
91
9.0
10
9.7
82
8.3
9
9.7
81
Automation
8.1
9
9.3
64
8.7
9
9.5
51
Image Annotation
8.3
9
9.4
77
8.7
9
9.4
72
8.3
9
9.3
64
8.8
10
9.5
65
Natural Language Annotation
8.8
8
9.4
51
8.8
8
9.3
43
9.0
8
9.6
47
Speech Annotation
8.8
8
9.3
45
8.7
9
9.1
42
Model Training & Optimization - Active Learning Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management & Annotation - Active Learning Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Performance & Analysis - Active Learning Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.6
19
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
16
Not enough data
9.7
15
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
15
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
15
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.4
14
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Not enough data
9.7
15
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
Not enough data
9.6
13
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.5
13
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Categories
Categories
Shared Categories
Appen and SuperAnnotate are categorized as Data Labeling
Unique Categories
Appen is categorized as Machine Learning Data Catalog
SuperAnnotate is categorized as Large Language Model Operationalization (LLMOps), MLOps Platforms, and Active Learning Tools
Reviews
Reviewers' Company Size
Appen
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SuperAnnotate
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
22.6%
Higher Education
9.7%
Education Management
9.7%
Internet
6.5%
Computer Software
6.5%
Other
45.2%
Information Technology and Services
24.7%
Computer Software
16.3%
Research
6.2%
Higher Education
4.5%
Health, Wellness and Fitness
3.4%
Other
44.9%
Discussions
Appen has no discussions with answers
What is SuperAnnotate?
1 Comment
MM
SuperAnnotate is an end-to-end platform to annotate, version, and manage ground truth data for your AI.Read more
What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?
1 Comment
ST
I have been invited to skill test for a few projects with superannotate over the past year or so, each resulting in the platform being buggy and not allowing...Read more
SuperAnnotate has no more discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
