# Image-Research-OSINT: a curated directory of reverse image search tools > Image-Research-OSINT is a single-page index of reverse image search, geolocation and verification services, each with a one-line description of what it actually does, assembled for OSINT researchers and journalists. It suits someone building a workflow for tracing an image, and it is a list of links rather than a tool, so it carries no code and no guarantees about any of the services it points at. **The-Osint-Toolbox/Image-Research-OSINT** — Learn how to research images and the tools, techniques & tradecraft required. - Repository: https://github.com/The-Osint-Toolbox/Image-Research-OSINT - Stars: 561 · Forks: 66 - Language: Unknown - License: not declared - Published: 2026-10-22 · Updated: 2026-10-22 · Language: en - Canonical page: https://hysenlabs.com/projects/the-osint-toolbox-image-research-osint ## A link directory, not a library Image-Research-OSINT is a single-page list. The whole repository is one file, README.md, and the readme opens by saying that on the page you will find links to useful image search, investigation and manipulation websites and tools. That sets the expectation correctly. There is no package to install, no API to call and no code to read, and the primary language is recorded as unknown because there is no source code in the project at all. If you are evaluating it as a dependency, it is not one. What it is instead is a curated catalogue, and the curation is visible in the descriptions. Each entry gets a link and a sentence explaining what the service does, and the sentences are specific enough to be useful. Berify is described as a reverse image search to find stolen images and videos. Eagle Eye scans social media platforms for an uploaded image. Stolen Camera Finder uses the serial number stored in your photos to search the web for other photos taken with the same camera. Root About reverse image searches the Internet Archive and Open Library. Repost Sleuth is a reverse image search tool for Reddit. The topics tags match: ai, exif-data-extraction, exif-metadata, face-recognition, image-forensics, photos, reverse-image-search and stock-images. The tags tell you the intended scope is image research as a whole rather than only reverse search. The homepage for the project, cqcore.uk, appears in the image at the top of the readme, which suggests this grew out of a broader OSINT training site rather than being a standalone tool project. ## The reverse image search section, sorted by what it does The list is grouped by capability, and the reverse image search section is the largest, with around thirty entries that fall into recognisable clusters. The classic engines are all here. Tineye is described as reverse image search to find where images appear online. Google Image Search, Bing Image Search and Yandex Image Search are linked as their reverse image webpage endpoints. Sogou is listed as a Chinese reverse image search tool, which matters because it indexes a different corpus from the Western engines, and Search By Image is a browser extension for the same job. Reverse Image Search at reverse-image-search.org is described as an image retrieval query technique based on content, that is, content-based image retrieval. Geolocation is the second cluster, and it is where the AI comes in. Geospy tries to locate where an image was taken using AI. Picarta predicts where a photo was taken in the world using artificial intelligence. Where Is This Photo uses AI image geolocation and reverse photo location search to identify GPS coordinates. Image Locator analyses images to identify locations and explains its reasoning, and requires ChatGPT Plus. GeoVLM on Hugging Face is listed as AI-powered geolocation. The Hugging Face Spaces entries form their own group of open models: Florence-2 for AI reverse image search, NemesisAlm which uses the StreetClip model for classification across 92 countries, and Street CLIP itself as an AI reverse image tool designed especially for street images. Two entries are interesting for verification work rather than lookup. Image Whisperer is an AI media verification and research tool, and Image Sniper is described as a Google reverse image search fix. Then there are the social media and reuse specialists. Osint Combine provides tabulated results from Google and Yandex in one place. Photo Finder searches social media platforms for images via Google. Profile Image Intel discovers when profile pictures were uploaded across social media platforms. Visual Origins discovers when images first appeared online. Pic Detective finds where a photo came from, who else is using it, or grabs a higher quality version. ## The tools that answer narrower questions Several entries answer a specific question rather than the general one, and those are often the most useful in practice. Image Measurement is a service for the measurement of objects, which sounds trivial until you consider that a photo of a building facade can be scaled if you know one dimension. Infringement Report is aimed at businesses that want to protect their images, and Sight Engine is content moderation and image analysis, which is the commercial counterpart to the same problem. Image Identity is an image recognition site where you drag your image and identify it. Duplichecker lets you search by upload, by URL, or by typing a keyword. Imglift scans your image and gives optimisation and metadata management, which is closer to the privacy side of the topic. Gonzo GVision is a reverse image search app that uses the Google Cloud Vision API to detect landmarks and web entities from images. That is a self-hosted-flavoured option among the hosted ones, and it is listed from a GitHub repository rather than a product page. The AI Reverse Image Search entry at reverseimagesearch.org is described as searching billions of indexed images across the web to identify the original source and related matches, and Lenso is listed under the same heading. AI Reverse Image Search at reverseimagesearch.com does something similar with advanced AI to analyse visual patterns and find similar images from multiple online sources, and NumLookup is an AI-powered reverse image search companion. The stock image section that follows starts with DreamsTime, an online royalty-free microstock provider, and Flickr, an image and video hosting service and online community. That section is the one to read when the question is the opposite of the first one: a search for where an image came from, or a search for a legally reusable replacement. ## The privacy warning the readme puts first Before the tool list there is a sentence that deserves more attention than it gets, and it is the most practically important line in the document. The readme asks the reader to remember that if they are loading images to third-party websites, those images may be sensitive, and that they may not be able to guarantee that their image will not become part of a dataset. That warning is not incidental. A large share of the listed services work by uploading the image to a server and running a model on it. Geospy, Picarta, Image Locator, GeoVLM, Image Whisperer, the AI reverse image search engines and the Hugging Face Spaces all take your file and send it somewhere. Some of those are commercial services with unclear data retention terms, and some are self-service public endpoints that index what they receive. A geolocation tool that can tell you a photograph was taken in a specific street is also a tool that, in the wrong hands, tells an adversary the same thing about a photograph you did not want shared. There is a second dimension to the same problem. Reverse image search uploads are recorded, and a request to one of these services leaves a trace in that provider's logs that includes the image or a hash of it. For an investigation involving a sensitive subject, that trace is itself a disclosure. The practical advice that follows from this is straightforward and worth stating, since the readme does not: for sensitive imagery, prefer local tooling such as the EXIF extraction and forensics categories the topics imply, or tools you run yourself, and treat every hosted service as a disclosure to a third party. The list is a map of options, not a set of recommendations, and nothing in the one-line descriptions tells you which side of that line a given service sits on. ## Where Image-Research-OSINT is the wrong tool The first limitation is the obvious one: there is no software. The repository contains a README and nothing else, so nothing here can be automated, scripted, piped into a workflow, or run at scale. If your requirement is to process ten thousand images, or to build a pipeline that checks every image in a set for manipulation, this list is a set of browser links and you would be doing the automation yourself against each service. The second is that it is a list of third-party services, and services change. URLs go away, companies pivot, free tiers are withdrawn, and the readme gives no dates or verification for any entry. The project itself shows the same fragility: the last push was on 2026-07-12, the licence is recorded as unknown, and the repository publishes no tagged releases. So there is no way to tell which entries were checked recently and which are dead. The third is that descriptions are marketing copy rather than technical documentation. Each entry says what the vendor says the service does. Some of the claims are the kind that need care: the AI geolocation tools are described as predicting where a photo was taken, which for a street scene in a city the model has never seen is a best guess dressed as a fact, and the entries that say an AI will find the original source of an image are making a claim about a corpus you do not control. The list is useful for finding candidates, and the readme does not give you the basis on which to trust any of them. The fourth is the commercial dimension. Many of the entries are paid services with API tiers, and a few are free with signup walls or rate limits. The Image Locator entry explicitly requires ChatGPT Plus. A working investigation workflow depends on a budget you cannot see from the list. The fifth is that the topic scope is broader than reverse image search. The tags mention face recognition, EXIF extraction and image forensics, and the stock image section points at media library rather than investigation. For a researcher who wants one coherent workflow with a consistent output format, a set of twenty different services with twenty different interfaces and twenty different pricing models is a starting point for a build rather than a finished tool. ## Conclusion Image-Research-OSINT fits an OSINT researcher or journalist who knows the shape of the problem, finding where an image came from, whether it was manipulated, or where it was taken, and who wants a catalogue of candidate services rather than one tool. It is the wrong choice if you need software you can script, automate or run at scale, because the repository contains a single README with no code. Before relying on it, check the privacy caveat the readme itself raises, since many of the listed services are AI geolocation tools that upload your image to a third party, and note that the last push was on 2026-07-12 with the licence unrecorded and no tagged releases. ## FAQ ### What is Image-Research-OSINT? It is a curated index of reverse image search, investigation and manipulation websites and tools for OSINT work. The repository contains a single README.md with no code, and each entry pairs a link with a short description of what the service does. ### Which reverse image search engines does Image-Research-OSINT list? Tineye, Google Image Search, Bing Image Search, Yandex Image Search and Sogou, alongside the Search By Image browser extension and content-based retrieval services such as reverse-image-search.org, plus AI variants including Lenso, AI Reverse Image Search and NumLookup. ### Which geolocation tools does Image-Research-OSINT list? Geospy, Picarta, Where Is This Photo and Image Locator, which requires ChatGPT Plus, along with the GeoVLM and NemesisAlm Hugging Face Spaces and Street CLIP for street imagery. Each is described as using AI to predict or identify where a photo was taken. ### What privacy warning does Image-Research-OSINT give? The readme asks readers to remember that images loaded to third-party websites may be sensitive, and that you may not be able to guarantee your image will not become part of a dataset. Many of the listed AI geolocation and reverse search services work by uploading the image to that provider's servers. ### Is Image-Research-OSINT a tool or a list? A list. The repository's only top-level entry is README.md, so there is no package to install, no API to call and no code to automate, and the primary language is recorded as unknown because there is no source code in the project. ## Sources - [Issues](https://github.com/The-Osint-Toolbox/Image-Research-OSINT/issues) - [README](https://github.com/The-Osint-Toolbox/Image-Research-OSINT/blob/main/README.md) - [The-Osint-Toolbox/Image-Research-OSINT on GitHub](https://github.com/The-Osint-Toolbox/Image-Research-OSINT) --- Hysen Labs editorial analysis, written from the project's own repository and release notes. Cite the canonical page: https://hysenlabs.com/projects/the-osint-toolbox-image-research-osint