Compare Appen and SuperAnnotate 
Featured Products
At a Glance
Market Segments
Small-Business (54.8% of reviews)
Small-Business (59.9% of reviews)
Entry-Level Pricing
SaaS subscription pricing dependent on use case and data type
Contact Us
Appen
Star Rating
(33)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
(282)4.9 out of 5
Market Segments
Small-Business (59.9% 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 customer support, with users highlighting the platform's immediate assistance and responsiveness. One user noted, "Their patience was also tested as I faced a problem in logging in to the platform, and their powerful support contacted me on the spot."
- Users say that Appen provides a flexible way to earn money through simple tasks, making it accessible for those looking for quick income opportunities. However, some users mentioned that the availability of work can be inconsistent, stating, "Easy to implement work is available sometimes to earn the extra income."
- Reviewers mention that SuperAnnotate's AI-powered automation tools, such as smart polygon and auto-annotate, significantly reduce manual labeling time, enhancing productivity. One user described it as "a powerhouse for AI data labeling," showcasing its versatility and efficiency.
- According to verified reviews, Appen has a solid user experience for mobile tasks, allowing users to complete assignments conveniently from their cell phones. However, some users expressed concerns about the quality of customer support, indicating that it could be improved.
- Users highlight that SuperAnnotate's platform is trusted and offers a smooth overall experience, with many praising the quality of support and the effectiveness of the tools provided. This contrasts with Appen, where users have noted that while the platform is functional, it may not always meet specific workflow needs.
- G2 reviewers indicate that both platforms cater to small businesses, but SuperAnnotate has a stronger overall satisfaction rating, reflecting its ability to meet user requirements effectively. Users appreciate the high-quality support and features that enhance their labeling processes, while Appen's ratings suggest room for improvement in user satisfaction.
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
161
Ease of Use
8.2
28
9.6
167
Ease of Setup
8.6
12
9.5
125
Ease of Admin
9.2
8
9.6
51
Quality of Support
8.0
27
9.6
159
Has the product been a good partner in doing business?
8.5
8
9.7
52
Product Direction (% positive)
7.8
26
9.7
147
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
9.7
12
Not enough data
9.3
12
Not enough data
9.3
10
Not enough data
9.6
12
Not enough data
9.5
11
Deployment
Not enough data
9.4
13
Not enough data
9.6
13
Not enough data
9.4
12
Not enough data
9.4
12
Not enough data
9.4
13
Management
Not enough data
9.3
10
Not enough data
9.0
12
Not enough data
9.3
9
Not enough data
9.6
9
Operations
Not enough data
9.3
10
Not enough data
9.3
9
Not enough data
9.4
11
Management
Not enough data
9.6
9
Not enough data
9.4
9
Not enough data
9.4
8
Generative AI
Not enough data
9.2
6
Not enough data
9.0
5
Quality
8.5
11
9.6
90
8.7
10
9.6
102
9.0
10
9.6
86
8.3
9
9.7
95
Automation
8.1
9
9.3
68
8.7
9
9.5
54
Image Annotation
8.3
9
9.3
81
8.7
9
9.4
75
8.3
9
9.3
66
8.8
10
9.5
69
Natural Language Annotation
8.8
8
9.4
53
8.8
8
9.3
45
9.0
8
9.6
49
Speech Annotation
8.8
8
9.3
48
8.7
9
9.1
44
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
17
Not enough data
9.7
16
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
16
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
17
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
16
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Not enough data
9.4
15
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
17
Not enough data
9.7
16
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
15
Not enough data
9.6
14
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Not enough data
9.5
14
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
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%
Education Management
9.7%
Higher Education
9.7%
Computer Software
6.5%
Internet
6.5%
Other
45.2%
Information Technology and Services
25.0%
Computer Software
15.4%
Research
5.3%
Higher Education
3.8%
Computer & Network Security
3.4%
Other
47.1%
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
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