Wan-2.2 vs MarkItDown Document Intelligence — Trust Score Comparison

Name: Wan-2.2 vs MarkItDown Document Intelligence Trust Comparison
Creator: Nerq

Side-by-side trust comparison of Wan-2.2 and MarkItDown Document Intelligence. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

Wan-2.2 scores 89.0/100 (A) while MarkItDown Document Intelligence scores 61.5/100 (E) on the Nerq Trust Score. Wan-2.2 leads by 27.5 points. Wan-2.2 is a image-to-video tool with 977 stars, Nerq Verified. MarkItDown Document Intelligence is a uncategorized tool with 0 stars.

Wan-2.2

89.0

A verified

Categoryimage-to-video

Stars977

Sourcehuggingface_models_v3

MarkItDown Document Intelligence

61.5

Categoryuncategorized

Stars0

Sourcepulsemcp

Detailed Metric Comparison

Metric	Wan-2.2	MarkItDown Document Intelligence
Trust Score	89.0/100	61.5/100
Grade	A	E
Stars	977	0
Category	image-to-video	uncategorized
Security	N/A	N/A
Compliance	N/A	N/A
Maintenance	N/A	N/A
Documentation	N/A	N/A
EU AI Act Risk	N/A	N/A
Verified	Yes	No

Verdict

Wan-2.2 leads with a trust score of 89.0/100 compared to MarkItDown Document Intelligence's 61.5/100 (a 27.5-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Community & Adoption

Wan-2.2 has 977 GitHub stars while MarkItDown Document Intelligence has 0. Wan-2.2 has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.

When to Choose Each Tool

Choose Wan-2.2 if you need:

Higher overall trust score — more reliable for production use
Larger community (977 vs 0 stars)

Choose MarkItDown Document Intelligence if you need:

Consider if it better fits your specific use case

Switching from Wan-2.2 to MarkItDown Document Intelligence (or vice versa)

When migrating between Wan-2.2 and MarkItDown Document Intelligence, consider these factors:

API Compatibility: Wan-2.2 (image-to-video) and MarkItDown Document Intelligence (uncategorized) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the Wan-2.2 safety report and MarkItDown Document Intelligence safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: Wan-2.2 has 977 stars and MarkItDown Document Intelligence has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

Wan-2.2 Safety Report MarkItDown Document Intelligence Safety Report Wan-2.2 Alternatives MarkItDown Document Intelligence Alternatives

Frequently Asked Questions

Which is safer, Wan-2.2 or MarkItDown Document Intelligence?

Based on Nerq's independent trust assessment, Wan-2.2 has a trust score of 89.0/100 (A) while MarkItDown Document Intelligence scores 61.5/100 (E). The 27.5-point difference suggests Wan-2.2 has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do Wan-2.2 and MarkItDown Document Intelligence compare on security?

Wan-2.2 has a security score of N/A/100 and MarkItDown Document Intelligence scores N/A/100. There is a notable difference in their security assessments. Wan-2.2's compliance score is N/A/100 (EU risk: N/A), while MarkItDown Document Intelligence's is N/A/100 (EU risk: N/A).

Should I use Wan-2.2 or MarkItDown Document Intelligence?

The choice depends on your requirements. Wan-2.2 (image-to-video, 977 stars) and MarkItDown Document Intelligence (uncategorized, 0 stars) serve different use cases. On trust, Wan-2.2 scores 89.0/100 and MarkItDown Document Intelligence scores 61.5/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (N/A vs N/A), and maintenance activity (N/A vs N/A).

Related Comparisons

Last updated: 2026-11-09 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.