Search Results for "image search"
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Showing 424 open source projects for "image search"
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Search by Image
Browser extension for reverse image search, available for Chrome
Search by Image is a powerful browser extension for Safari that makes effortless reverse image searches possible, and comes with support for more than 30 search engines, such as Google, Bing, Yandex, Baidu and TinEye. Search by Image is an open source project made possible thanks to a community of awesome supporters. By purchasing the extension on the Mac App Store, you help support the continued development of the extension. -
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Telegram Search
AI-powered Telegram chat backup and semantic search tool system
...It also incorporates AI-driven capabilities such as contextual question answering and unread message summarization, allowing users to interact with their message history in a more natural way. Additionally, it provides media handling features, including backup and semantic image search, enhancing discoverability. -
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Disk Image Manager
Visual inspection tool for .dsk Spectrum/Amstrad disk images
Disk Image Manager is an application for examining and manipulating disk images in the Standard and Extended DSK format used by many Spectrum, Amstrad PCW and CPC emulators. Many of the features and functions of this tool were driven by the Spectrum Disk Preservation team which used this format and tool to help manage the selection and testing of disk images archived to The World of Spectrum and The TZX Vault. These images are traditionally created with CPDRead under DOS but Simon Owen's... -
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SmartImage
Reverse image search tool (SauceNao, IQDB, Ascii2D, trace.moe, & more
SmartImage is a powerful reverse image search tool designed to help users quickly find the original source of an image. Built primarily for Windows with a GUI version and a cross-platform Rdx version, it offers flexible access across different environments. The application searches multiple supported engines and automatically opens the best match directly in your web browser. -
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marqo
Tensor search for humans
...It can seamlessly handle image-to-image, image-to-text and text-to-image search and analytics. Marqo adapts and stores your data in a fully schemaless manner. It combines tensor search with a query DSL that provides efficient pre-filtering. Tensor search allows you to go beyond keyword matching and search based on the meaning of text, images and other unstructured data. -
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clip-retrieval
Easily compute clip embeddings and build a clip retrieval system
...It includes components for inference, indexing, filtering, and serving results through APIs, making it a complete pipeline for building production-ready retrieval systems. The framework also supports querying by image, text, or embedding, enabling flexible use cases such as reverse image search or multimodal content discovery. Additionally, it provides a simple frontend interface and backend services that can be deployed to expose search functionality to users. -
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satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful... -
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Elastiknn
Elasticsearch plugin for nearest neighbor search
...Elasticsearch is a ubiquitous search solution, but its support for vectors is limited. This plugin fills the gap by bringing efficient exact and approximate vector search to Elasticsearch. This enables users to combine traditional queries (e.g., “some product”) with vector search queries (e.g., an image (vector) of a product) for an enhanced search experience. -
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ViMax
Director, Screenwriter, Producer, and Video Generator All-in-One
...ViMax’s design accommodates large image sets and supports retrieval augmentation, enabling it to work with external image databases, supplementary metadata, and semantic search to enhance context awareness. The system aims to bridge foundational vision backbones and generative language models through adapters and fusion layers that maximize both signal integration and reasoning depth, and includes utility pipelines for training, evaluation, and deployment. -
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autocrawler
Multiprocess Selenium crawler for downloading images by keywords
AutoCrawler is a Python-based image crawling tool designed to automatically download large numbers of images from search engines using automated browser interaction. It uses Selenium and a Chrome browser driver to navigate image search pages and collect image sources based on keywords provided by the user. AutoCrawler supports multiprocess and multithreaded downloading, which allows it to retrieve images faster by running several tasks simultaneously. ... -
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Weaviate
Weaviate is a cloud-native, modular, real-time vector search engine
Weaviate in a nutshell: Weaviate is a vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale. Weaviate in detail: Weaviate is a low-latency vector search engine with out-of-the-box support for different media types (text, images, etc.). It offers Semantic Search, Question-Answer-Extraction, Classification, Customizable... -
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Gemini Next Chat
Deploy your private Gemini application for free with one click
Gemini Next Chat is an open-source web application that allows you to deploy your own private chat interface powered by Google’s Gemini models (e.g., Gemini 1.5, Gemini 2.0, etc.). It is built with Next.js/TypeScript and targets developers and hobbyists who want a self-hosted solution for interacting with advanced multimodal models (text, image, voice). It supports features like image recognition, voice-based conversation, plugins (web search, ArXiv search, weather, etc.), and client apps (tray app) for greater convenience. The project emphasizes “one-click” deployment, aiming to make it easy to spin up a custom chat front end without deep infra-setup. It’s licensed under MIT and has an active community of contributors; documentation and release notes note support for newer features like mixed image+text generation. ... -
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Milvus Bootcamp
Dealing with all unstructured data, such as reverse image search
Milvus Bootcamp is a collection of tutorials, examples, and best practices for using Milvus, an open-source vector database designed for AI-powered similarity search and retrieval applications. -
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JHenTai
A cross-platform manga app made for e-hentai & exhentai by Flutter
JHenTai is a Flutter-based cross-platform client for browsing and reading hentai manga from the E-Hentai and ExHentai galleries. It supports advanced features like search filters, image caching, favorites, downloads, and multi-threaded image preloading to optimize the reading experience. Users can view galleries in a reader mode with customizable layouts, zoom, and navigation options. The app includes account integration for logged-in features, synchronization of favorites, and support for multiple reading modes. ... -
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PDFPatcher
A versatile toolkit for PDF manipulation
PDFPatcher (aka “PDF补丁丁”) is a versatile toolkit for PDF manipulation—editing document metadata, bookmarks, page layout, content restrictions, rotation, compression, merging/splitting, image extraction, and more, all within an intuitive interface. Merge/split PDFs or images, preserve or add bookmarks, and set page dimensions. Batch style/color/target changes, regex/XPath search/replace, mid‑page positioning. Modify PDF metadata, page numbers, links, initial view mode, and remove open actions. -
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SentenceTransformers
Multilingual sentence & image embeddings with BERT
SentenceTransformers is a Python framework for state-of-the-art sentence, text and image embeddings. The initial work is described in our paper Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. You can use this framework to compute sentence / text embeddings for more than 100 languages. These embeddings can then be compared e.g. with cosine-similarity to find sentences with a similar meaning. This can be useful for semantic textual similar, semantic search, or paraphrase mining. ... -
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CLIP
CLIP, Predict the most relevant text snippet given an image
CLIP (Contrastive Language-Image Pretraining) is a neural model that links images and text in a shared embedding space, allowing zero-shot image classification, similarity search, and multimodal alignment. It was trained on large sets of (image, caption) pairs using a contrastive objective: images and their matching text are pulled together in embedding space, while mismatches are pushed apart. -
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DocArray
The data structure for multimodal data
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. ... -
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Faiss
Library for efficient similarity search and clustering dense vectors
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It... -
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Python Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models. -
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bilibili-manga-downloader
Download and manage Bilibili Manga chapters with GUI downloader
...It also offers multiple output formats, allowing chapters to be saved as image folders or compressed comic archive formats suitable for local manga readers. -
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macai
All-in-one native macOS AI chat application
...The app supports a wide range of providers, including OpenAI, Anthropic, Google Gemini, xAI, Perplexity, and Ollama, allowing users to switch between local and cloud-based models without changing tools. It includes advanced features such as multimodal capabilities, image generation, search integration, and reasoning workflows, making it more than just a simple chat client. The application also emphasizes privacy by avoiding telemetry and offering optional iCloud synchronization for cross-device continuity. With its combination of native performance, multi-provider flexibility, and user-friendly design, macai serves as a comprehensive AI hub for macOS users. -
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Vearch
A distributed system for embedding-based vector retrieval
...End-to-end one-click deployment. Through the module of the plugin, a complete default visual search system can be deployed just with one click. Otherwise, you can easily customize your own image, video, or text feature extraction algorithm plugin. This GIF provides a clear demonstration of the project vearch usage and its internal structure. The use of vearch is mainly divided into three steps. Firstly, create DB and Space, then import your data, and finally, you can search on your own dataset. -
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BookStack
Simple & Free Wiki Software
...While the platform can provide advanced power features to those who want them, it is primarily designed not to be extensible outside of its core purpose. That being said, BookStack already comes with plenty of powerful features, such as search and linking, cross-book sorting, image management and more. It is also multi-lingual and offers options for authentication integration. -
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Generative AI
Sample code and notebooks for Generative AI on Google Cloud
Generative AI is a comprehensive collection of code samples, notebooks, and demo applications designed to help developers build generative-AI workflows on the Vertex AI platform. It spans multiple modalities—text, image, audio, search (RAG/grounding) and more—showing how to integrate foundation models like the Gemini family into cloud projects. The README emphasises getting started with prompts, datasets, environments and sample apps, making it ideal for both experimentation and production-ready usage. The repository architecture is organised into folders like gemini/, search/, vision/, audio/, and rag-grounding/, which helps developers locate use cases by modality. ...
