VidChapter Ratings (September 2025)
This page breaks down VidChapter ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand VidChapter’s overall reputation. This data-driven overview will show you exactly how VidChapter is rated - including how it compares to competitors.
VidChapter's Overall Rating Summary
- Average Rating:3.8/5
- Total Reviews:15 reviews
- Sources:G2, Trustpilot, Producthunt
- Last updated:September 1, 2025
VidChapter Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.8/5 | 2+ reviews | 01.09.25 |
 Trustpilot | 3.4/5 | 11+ reviews | 01.09.25 |
 Producthunt | 5/5 | 2+ reviews | 01.09.25 |
What is VidChapter?
VidChapter is an AI-powered platform that generates timestamped chapters, tags, titles, and descriptions for YouTube and Vimeo videos, streamlining the content optimization process. It helps creators generate engaging titles, descriptions, tags, and timestamped chapters, validate video ideas with keyword scores, and enhance click-through rates with a thumbnail analyzer. Additionally, VidChapter offers tools to automate content creation, including video scripts, thumbnails, email newsletters, and social media posts, supporting multiple languages and providing high-precision transcription.
🤔 VidChapter vs Competitors: How Do Ratings Compare?
Check out VidChapter AlternativesFrequently Asked Questions
How many stars is VidChapter rated?
VidChapter has an average star rating of 3.8 out of 5 stars based on average of 15 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from VidChapter public reviews pages on platforms: G2, Trustpilot, Producthunt. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for VidChapter is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.