InVID Verification Plugin
Toolkit for verifying online videos and images across major social platforms, providing keyframe extraction, reverse image search, forensic filters, metadata analysis, timeline search, and contextual exploration to support visual content verification and fact-checking.
Cost / License
- Free
- Open Source (MIT)
EUPlatforms
- Google Chrome
- Mozilla Firefox
Features
- Browser extension
- Fact Checking
InVID Verification Plugin News & Activities
Recent activities
- Danilo_Venom updated InVID Verification Plugin
Patrick-Colton added InVID Verification Plugin as alternative to ChronoVerify
InVID Verification Plugin information
Developed by
invid-project.eu Licensing
Open Source (MIT) and Free product.Written in
Alternatives
4 alternatives listedSupported Languages
- English
- French
- Spanish
- Greek
AlternativeTo Category
Web BrowsersGitHub repository
- 47 Stars
- 6 Forks
- 6 Open Issues
- Updated (Archived)
Featured in Lists
Google Chrome is the most used web browser in the world, but it's less than perfect. Google keeps adding and then …
What is InVID Verification Plugin?
This toolkit is provided by the InVID european project to help journalists to verify content on social networks (please note that external InVID services used via this interface, such as those presented under the Analysis and Keyframes tabs, are not open-sourced). It has been designed as a verification “Swiss army knife” helping journalists to save time and be more efficient in their fact-checking and debunking tasks on social networks especially when verifying videos and images.
The provided tools allow you to quickly get contextual information on Facebook and YouTube videos, to perform reverse image search on Google, Baidu or Yandex search engines, to fragment videos from various platforms (Facebook, Instagram, YouTube, Twitter, Daily Motion) into keyframes, to enhance and explore keyframes and images through a magnifying lens, to query Twitter more efficiently through time intervals and many other filters, to read video and image metadata, to check the video copyrights, and to apply forensic filters on still images. The main features of the toolkit are explained below, and in the following tutorial video.