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Compare Affinda and Nanonets 
Featured Products
At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Mid-Market (41.3% of reviews)
Entry-Level Pricing
Free Trial
$0.00 500 Pages
Affinda
Star Rating
(26)4.9 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial
Browse all 4 pricing plansNanonets
Star Rating
(96)4.8 out of 5
Market Segments
Mid-Market (41.3% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00 500 Pages
Browse all 2 pricing plansAffinda vs Nanonets
When assessing the two solutions, reviewers found Affinda easier to use, set up, and administer. Reviewers also preferred doing business with Affinda overall.
- Reviewers felt that Affinda meets the needs of their business better than Nanonets.
- When comparing quality of ongoing product support, reviewers felt that Affinda is the preferred option.
- When assessing product direction, Affinda and Nanonets received similar ratings from our reviewers.
Pricing
Entry-Level Pricing
Affinda
Free Trial
Free Trial
Perfect for testing our solution - Free 14-day trial period
- All features and capabilities
- Parsing Limit: 500 pages
- Expiration: 14 days
Nanonets
Starter
$0.00
500 Pages
For individuals or teams looking to try out the platform
- 3 Starter Workflows
- Limited fields
- Auto-capture tables (line items)
Free Trial
Affinda
Free Trial is available
Nanonets
Free Trial is available
Ratings
Meets Requirements
9.8
23
9.2
75
Ease of Use
9.9
25
9.4
76
Ease of Setup
9.9
22
9.2
44
Ease of Admin
9.9
14
9.2
33
Quality of Support
9.9
23
9.5
75
Has the product been a good partner in doing business?
10.0
12
9.4
32
Product Direction (% positive)
9.5
24
9.5
73
Features by Category
Edit
Not enough data
9.6
8
Not enough data
9.8
7
Not enough data
8.1
7
Not enough data
8.3
8
Logistics
Not enough data
9.5
10
Not enough data
9.0
7
Not enough data
9.0
7
Not enough data
9.3
9
Not enough data
9.1
9
Invoice Management
Feature Not Available
9.7
5
Not enough data
Not enough data
Not enough data
Not enough data
Invoice Processing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.4
6
Not enough data
Not enough data
Analytics
Feature Not Available
Not enough data
Feature Not Available
Feature Not Available
Feature Not Available
Not enough data
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Risk
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Recovery
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Audit
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Fraud
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Agentic AI - AP Automation
Not enough data
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Invoice Generation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Invoice 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
Analytics
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Agentic AI - Invoice Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operating System
10.0
12
9.5
35
10.0
11
9.6
27
10.0
9
9.0
13
Document Processing
10.0
13
9.3
41
9.9
16
9.6
42
Feature Not Available
Feature Not Available
9.9
14
9.4
41
9.7
11
9.0
28
Platform Additional Functionality
9.5
14
9.4
35
9.2
11
9.4
31
10.0
11
9.5
33
Agentic AI - OCR
9.3
10
Not enough data
Data Capture
9.8
15
9.3
12
9.9
15
9.4
13
Data Extraction
9.9
15
8.5
10
10.0
15
8.5
9
Data Validation
10.0
15
9.0
12
Workflow Automation
9.8
15
9.2
13
9.7
15
8.9
9
Document Management
9.9
15
8.3
9
Feature Not Available
8.1
7
Machine Learning
9.4
15
8.9
11
Natural Language Processing
9.1
15
8.1
7
Semantic Analysis
Feature Not Available
7.8
9
Data Integration
9.5
14
8.3
10
Security
Feature Not Available
9.3
10
10.0
14
9.3
9
Reconciliation - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Audit - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
User Permissions and Security - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Financial Reconciliation
Not enough data
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Categories
Categories
Shared Categories
Affinda and Nanonets are categorized as AP Automation, OCR, and Intelligent Document Processing (IDP)
Unique Categories
Affinda has no unique categories
Reviews
Reviewers' Company Size
Affinda
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Nanonets
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
15.4%
Construction
15.4%
Hospital & Health Care
7.7%
Financial Services
7.7%
Banking
7.7%
Other
46.2%
Accounting
9.8%
Information Technology and Services
8.7%
Higher Education
7.6%
Financial Services
7.6%
Education Management
6.5%
Other
59.8%
Alternatives
Discussions
Affinda has no discussions with answers
What is OCR invoice?
2 Comments
S
It is the process to extract data from PDFs and convert it to machine readable format which can be searched or edited.Read more
what language support in this OCR?
1 Comment
LM
I am also interested in this question. I like that there is such a variety of languages. I'm sure this makes translation a very interesting and challenging...Read more
Nanonets has no more discussions with answers
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