Compare: Fake news debunker InVID WeVerify VeraAI vs Search by Image

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Metric	Fake news debunker InVID WeVerify VeraAI	Search by Image
User count	100,000	400,000
Average rating	3.94	4.06
Rating count	49	537
Last updated	2026-06-18	2026-06-16
Size	5.28 MB	0.86 MB
Version	0.92	8.5.4

Short description	Verify videos, images, and social content with the InVID WeVerify VeraAI extension. A journalist-friendly, privacy-conscious verification toolkit.	Easily perform reverse image searches with support for 30+ search engines including Google, Bing, Yandex, Baidu, and TinEye. Perfect for verification and discovery.
Full summary	This verification toolkit acts as a Swiss army knife for journalists, fact-checkers, and human rights defenders, helping verify videos and images on social networks. It provides contextual information for Facebook, Twitter, and YouTube content, enables reverse image search across multiple engines, accesses the Database of Known Fakes (DBKF), fragments videos into keyframes, and offers magnification and exploration of keyframes. It also includes a Social Network Analysis module for Twitter, metadata reading, copyright checks, quick cross-network fact-checking, and cross-network queries to support verification workflows. The toolkit is designed to save time and boost efficiency in debunking misinformation online. New beta tools for registered users include a synthetic image detector from vera.ai and an audio voice-cloning detector provided by Hiya.com after the Loccus acquisition. The CheckGIF module demonstrates media manipulation by pairing manipulated and original images, while classroom demo sections promote media literacy. The extension supports multiple languages, a demo/classroom area, and a Web Archive Channel (WACZ) archiving feature for traces of disinformation. It emphasizes privacy (no personal data recorded, optional analytics) and invites user feedback to improve features. It has evolved through EU-funded projects like InVID, WeVerify, and vera.ai, and has earned recognition such as the 2021 Paris Tech Challenge prize awarded by the US Department Global Engagement Center (GEC).	Search by Image is a powerful and open-source browser extension that simplifies reverse image searches across over 30 search engines like Google, Bing, Yandex, Baidu, and TinEye. Ideal for journalists, researchers, photographers, and shoppers, it helps verify image authenticity, detect misinformation, explore artwork usage, and discover similar products online. The extension supports multiple search modes—including URL, image file, screen capture, and browsing local files—making it versatile for different needs. Users can initiate searches directly from the context menu or toolbar, customize their preferred engines, and benefit from its seamless integration into Chrome, Edge, and Safari. To learn more or contribute, visit the official GitHub repository.