Browser extension for reverse image search, available for Chrome, Edge and Safari
#人脸识别#Self-hosted open-source web gallery to view your photos and videos featuring mobile-friendly, tagging and AI powered image discovery
#搜索#Yet another awesome browser extension for switching search engines, search everything (selection text / image / link / find in page) on any engine with a simple right click or a variety of menus and s...
#搜索#Reverse image search tool (SauceNao, IQDB, Ascii2D, trace.moe, and more)
A Chrome Extension that contains useful tools
#搜索#A simple yet powerful module to retrieve organic search results and much more from Google.
#人脸识别#Learn how to research images and the tools, techniques & tradecraft required.
#搜索#Search images with a text or image query, using Open AI's pretrained CLIP model.
CLI and GUI for OSINT. Are you very exhibited on the Internet? Check it! Twitter, Tinder, Facebook, Google, Yandex, BOE. It uses facial recognition to provide more accurate results.
This is a CLI tool to search for images with Google Reverse Image Search (goris).
This is a simple API built using Node.js and Express.js that allows you to perform Google Reverse Image Search by providing an image URL. The API uses Cheerio to scrap Google's image search engine's h...
A social engineering tool designed to seamlessly locate profiles using usernames while offering convenient reverse image search functionality.
人工智障本地图片检索工具，支持以图搜图、图片去重 | An EfficientNet based image retrieval tool
Reverse image search extension for Google Chrome.
Search in Google Lens in lingo! Multi language search of image with export in HTML report
photo gallery with extended search capabilities
PhotOSINT is an OSINT chrome extension for images and photos. It scans each webpage for images with EXIF data, while the user is browsing, and gives context options for reverse image search in differe...
Perform reverse search for all images in a directory (using e621.net/iqdb_queries, saucenao.com, fuzzysearch.net)
Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformation.