What is Video Extraction Plus?

42/100
Trust Score (E)
⚠️ Use Caution

Video Extraction Plus is a content that Extracts text from videos and audio files for content analysis and subtitle generation.. It has a Nerq Trust Score of 42/100 (E). 6 GitHub stars. Published by https://github.com/takereshui/mcp-video-extraction-plus. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

42
TRUST SCORE
E
GRADE
6
STARS
0
DOWNLOADS

What Video Extraction Plus Does

Video Extraction Plus is a mcp_server in the content category. Extracts text from videos and audio files for content analysis and subtitle generation.. It is published by https://github.com/takereshui/mcp-video-extraction-plus and has no specified license. With 6 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Video Extraction Plus

Video Extraction Plus is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/takereshui/mcp-video-extraction-plus
Categorycontent
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=video-extraction-plus

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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prompt-optimizer6421.6K
AudioGPT5910.2K
magika6410.1K
manga-image-translator639.4K
KrillinAI589.4K

Frequently Asked Questions

What is Video Extraction Plus used for?
Video Extraction Plus is a content tool. Extracts text from videos and audio files for content analysis and subtitle generation..
Is Video Extraction Plus free?
License: Check project page. Video Extraction Plus has 6 GitHub stars.
Is Video Extraction Plus safe?
Video Extraction Plus has a Nerq Trust Score of 42/100 (E). Evaluate carefully.
What are alternatives to Video Extraction Plus?
Top alternatives: prompt-optimizer, AudioGPT, magika. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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