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At a Glance
Appen
Appen
Star Rating
(29)4.2 out of 5
Market Segments
Small-Business (53.6% of reviews)
Information
Entry-Level Pricing
SaaS subscription pricing dependent on use case and data type
Browse all 2 pricing plans
V7
V7
Star Rating
(53)4.8 out of 5
Market Segments
Small-Business (56.9% of reviews)
Information
Entry-Level Pricing
Free
Browse all 4 pricing plans
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Appen's Labeler Quality scores an 8.5, while V7 excels with a score of 9.4, indicating that V7 provides a more reliable labeling experience, which is crucial for data accuracy in machine learning projects.
  • Reviewers mention that V7's Task Quality is rated at 9.5, significantly higher than Appen's 8.5, suggesting that V7's task management features are more effective in ensuring high-quality outputs.
  • G2 users highlight that V7's Human-in-the-Loop functionality scores 9.4, compared to Appen's 8.3, indicating that V7 offers a more robust integration of human oversight in the machine learning process, enhancing overall model performance.
  • Users on G2 note that V7's Model Training capabilities are rated at a perfect 10.0, while Appen falls short with a score of 8.2, showcasing V7's superior tools for training and optimizing machine learning models.
  • Reviewers say that V7's Data Quality rating of 9.3 outshines Appen's 8.9, reflecting V7's commitment to maintaining high standards in data integrity, which is essential for successful AI implementations.
  • Users report that V7's Automatic Routing of Labeling feature scores 9.5, compared to Appen's 9.0, indicating that V7 provides a more efficient workflow for managing labeling tasks, which can save time and resources in data preparation.
Pricing
Entry-Level Pricing
Appen
Appen Data Annotation Platform
SaaS subscription pricing dependent on use case and data type
Browse all 2 pricing plans
V7
Free Plan
Free
Browse all 4 pricing plans
Free Trial
Appen
No trial information available
V7
Free Trial is available
Ratings
Meets Requirements
8.3
25
9.5
37
Ease of Use
8.1
25
9.6
37
Ease of Setup
9.1
9
9.7
16
Ease of Admin
9.5
7
9.4
15
Quality of Support
8.2
24
9.6
35
Has the product been a good partner in doing business?
9.3
7
9.9
14
Product Direction (% positive)
8.0
23
9.6
31
Features by Category
Machine Learning Data CatalogHide 16 FeaturesShow 16 Features
8.1
138
Not enough data
Data Governance
8.3
11
Not enough data
8.3
10
Not enough data
7.8
10
Not enough data
Data Preparation
8.2
11
Not enough data
8.2
11
Not enough data
7.7
10
Not enough data
8.2
10
Not enough data
Collaboration
8.2
10
Not enough data
8.2
11
Not enough data
8.5
9
Not enough data
8.3
9
Not enough data
Artificial Intelligence
8.5
9
Not enough data
7.1
8
Not enough data
7.8
9
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Not enough data
9.6
87
Deployment
Not enough data
Not enough data
Not enough data
9.4
6
Not enough data
9.7
5
Not enough data
9.0
7
Not enough data
9.8
7
Deployment
Not enough data
Not enough data
Not enough data
9.3
5
Not enough data
9.7
6
Not enough data
9.2
6
Not enough data
9.8
7
Management
Not enough data
9.3
5
Not enough data
10.0
6
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
9.7
6
Not enough data
Not enough data
Not enough data
10.0
6
Management
Not enough data
10.0
5
Not enough data
9.7
5
Not enough data
9.3
5
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Science and Machine Learning PlatformsHide 27 FeaturesShow 27 Features
Not enough data
10.0
35
System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
10.0
5
Not enough data
10.0
5
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
10.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
10.0
5
Machine/Deep Learning Services
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
10.0
5
Not enough data
10.0
5
Not enough data
10.0
5
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
8.6
120
9.1
237
Quality
8.5
9
9.4
20
8.5
9
9.5
23
8.9
9
9.3
20
8.3
8
9.4
21
Automation
8.1
8
9.3
15
9.0
8
9.5
13
Image Annotation
8.3
8
9.4
26
8.8
8
9.6
23
8.3
8
9.1
16
8.7
9
9.1
17
Natural Language Annotation
8.8
7
9.2
12
8.8
7
9.0
8
9.0
7
9.3
9
Speech Annotation
8.6
7
7.6
7
8.8
8
8.1
7
Not enough data
9.7
47
Recognition Type
Not enough data
Not enough data
Not enough data
9.6
8
Not enough data
9.7
5
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
9.3
5
Facial Recognition
Not enough data
10.0
5
Not enough data
Not enough data
Labeling
Not enough data
10.0
8
Not enough data
9.8
8
Not enough data
9.8
8
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Operating System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Document Processing
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
Platform Additional Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Intelligent Document Processing (IDP)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Data Capture
Not enough data
Not enough data
Not enough data
Not enough data
Data Extraction
Not enough data
Not enough data
Not enough data
Not enough data
Data Validation
Not enough data
Not enough data
Workflow Automation
Not enough data
Not enough data
Not enough data
Not enough data
Document Management
Not enough data
Not enough data
Not enough data
Not enough data
Machine Learning
Not enough data
Not enough data
Natural Language Processing
Not enough data
Not enough data
Semantic Analysis
Not enough data
Not enough data
Data Integration
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Appen
Appen
V7
V7
Appen and V7 are categorized as Data Labeling
Reviews
Reviewers' Company Size
Appen
Appen
Small-Business(50 or fewer emp.)
53.6%
Mid-Market(51-1000 emp.)
25.0%
Enterprise(> 1000 emp.)
21.4%
V7
V7
Small-Business(50 or fewer emp.)
56.9%
Mid-Market(51-1000 emp.)
37.3%
Enterprise(> 1000 emp.)
5.9%
Reviewers' Industry
Appen
Appen
Information Technology and Services
17.9%
Higher Education
10.7%
Education Management
10.7%
Internet
7.1%
Computer Software
7.1%
Other
46.4%
V7
V7
Information Technology and Services
25.5%
Computer Software
19.6%
Research
7.8%
Hospital & Health Care
5.9%
Industrial Automation
3.9%
Other
37.3%
Most Helpful Reviews
Appen
Appen
Most Helpful Favorable Review
Caterin S.
CS
Caterin S.
Verified User in Computer Software

Figure Eight is one of the most recognized artificial intelligence and automatic learning platforms for having a good valuation by the companies that hire it to receive their services. This software is recognized by a wide range of people worldwide who...

Most Helpful Critical Review
Verified User
G
Verified User in Marketing and Advertising

I dislike how some of the tasks have an age requirement. It can sometimes take a while to get the money you earned deposited into your bank account. Other than that, I don't have any other issues with Appen.

V7
V7
Most Helpful Favorable Review
KM
Kevin M.
Verified User in Environmental Services

My absolute favorite part of using V7 is the expertise the team brings to the table. Folks at my organization are subject-matter experts that sometimes have computer literacy issues, and the V7 team is comprehensive and thoughtful in their user experience...

Most Helpful Critical Review
Philip A.
PA
Philip A.
Verified User in Information Technology and Services

V7 Darwin is a great platform with first-class tools. I would definitely recommend it to annotators everywhere. I do not dislike anything

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V7
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Discussions
Appen
Appen Discussions
Monty the Mongoose crying
Appen has no discussions with answers
V7
V7 Discussions
Monty the Mongoose crying
V7 has no discussions with answers