All Comparisons
Expert Review
Updated 2026-01-11

7 Best YouTube Comment Analysis Tools (2026)

Understand your audience through comments

YouTube comments are a goldmine of audience insights. These tools help you analyze comments at scale to understand sentiment, find trends, and improve your content.

7 tools compared5 min read2,400 monthly searches
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Key Takeaways

  • NoteLM extracts data for free
  • Enterprise tools offer sentiment analysis
  • YouTube Studio provides basic insights

How We Evaluated

1Analysis depth
2Sentiment accuracy
3Export options
4Ease of use
5Price

Top 7 Tools Compared

Ranked by features, pricing, ease of use, and user reviews

🏆 Our Top Pick for 2026

Extract and export comments for analysis.

4.7
Free

Pros

  • Free
  • Full export
  • All comments

⚠️ Cons

  • Basic analysis

Best for: Data extraction

#2

Social media monitoring with sentiment.

4.3
$79/mo

Pros

  • Advanced sentiment
  • Multi-platform

⚠️ Cons

  • Very expensive

Best for: Enterprise brands

#3

Social listening platform.

4.1
$41/mo

Pros

  • Real-time alerts
  • Sentiment

⚠️ Cons

  • Expensive

Best for: Brand monitoring

#4

Social Searcher

Social media search and analysis.

3.8
Free/Paid

Pros

  • Free tier
  • Search

⚠️ Cons

  • Limited features

Best for: Basic search

#5

YouTube Studio Analytics

Built-in YouTube analytics.

4.0
Free

Pros

  • Official
  • Free

⚠️ Cons

  • Own channel only

Best for: Your own channel

#6

Social media management suite.

4.2
$249/mo

Pros

  • Comprehensive
  • Reporting

⚠️ Cons

  • Very expensive

Best for: Agencies

#7

AI text analysis platform.

3.9
$299/mo

Pros

  • Custom AI models
  • Deep analysis

⚠️ Cons

  • Technical

Best for: Custom analysis

Frequently Asked Questions

Common questions about these tools answered

Use NoteLM to extract all comments, then export to CSV/JSON for analysis in Excel, Python, or dedicated tools.

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Written By

NoteLM Team

The NoteLM team specializes in AI-powered video summarization and learning tools. We are passionate about making video content more accessible and efficient for learners worldwide.

AI/ML DevelopmentVideo ProcessingEducational Technology
Last verified: January 11, 2026