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Semantic photo search for the command line
| Date | Stars |
|---|---|
| 2026-07-24 | 979 |
| 2026-07-25 | 980 |
| 2026-07-28 | 981 |
| 2026-07-30 | 981 |
| 2026-08-06 | 981 |
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# rclip – semantic photo search for the command line <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section --> [](#contributors-) <!-- ALL-CONTRIBUTORS-BADGE:END --> [[Blog]](https://mikhalevi.ch/rclip-an-ai-powered-command-line-photo-search-tool/) [[Demo on YouTube]](https://www.youtube.com/watch?v=tAJHXOkHidw) [[Paper]](https://www.thinkmind.org/index.php?view=article&articleid=content_2023_1_20_60011) <div align="center"> <img alt="rclip logo" src="https://raw.githubusercontent.com/yurijmikhalevich/rclip/main/resources/logo-transparent.png" width="600px" /> </div> **rclip** is a semantic photo search tool for the command line, powered by [OpenCLIP's top-performing ViT-B/32 AI model](https://github.com/mlfoundations/open_clip/blob/55794d65a14dfc547a9ed3514145dd68ccc939e9/README.md). Search a local photo library with natural-language queries, similar image search, or mixed text and image queries – entirely on your machine, with no cloud and no uploads. It builds on the CLIP architecture introduced by OpenAI. ## Features - **Natural-language search** – find photos by describing them, e.g. `rclip "two parrots on a branch"`. - **Reverse / image-to-image search** – search by an example image from a local path or a URL. - **Combined & arithmetic queries** – mix and weight text and image queries, e.g. `rclip "2:golden retriever" + "./pool.jpg" - fruit`. - **Local & private** – works fully offline; your photos never leave your computer. - **Wide format support** – `jpg`, `png`, `webp`, `heic`, `tiff`, `gif`, and more, plus experimental RAW (`arw`, `cr2`, `dng`). - **Fast incremental indexing** – only new and changed images are reprocessed on subsequent runs. - **Terminal previews** – view images inline in iTerm2, Konsole, wezterm, Mintty, and mlterm. - **Cross-platform** – Linux, macOS (Apple Silicon), and Windows. ## Installation ### Linux ```bash sudo snap install rclip ``` <details> <summary>Alternative options (AppImage and <code>pip</code>)</summary> If your Linux distribution doesn't support [snap](https://snapcraft.io/rclip), you can use one of the alternative installation options: #### AppImage (self-contained x86_64 executable) On Linux x86_64, you can install **rclip** as a self-contained executable. 1. Download the AppImage from the [latest release](https://github.com/yurijmikhalevich/rclip/releases/latest). 2. Execute the following commands: ```bash chmod +x <downloaded AppImage filename> sudo mv <downloaded AppImage filename> /usr/local/bin/rclip ``` #### Using <code>pip</code> ```bash pip install --extra-index-url https://download.pytorch.org/whl/cpu rclip ``` </details> ### macOS ```bash brew install yurijmikhalevich/tap/rclip ``` **Note:** We only support Apple Silicon (arm64) on macOS. <details> <summary>Alternative option (<code>pip</code>)</summary> ```bash pip install rclip ``` </details> ### Windows 1. Download the "*.msi" from the [latest release](https://github.com/yurijmikhalevich/rclip/releases/latest). 2. Install **rclip** by running the installer. <details> <summary>Alternative option (<code>pip</code>)</summary> ```bash pip install rclip ``` </details> ## Usage Search the current directory with a natural-language query: ```bash cd photos && rclip "search query" ``` <details> <summary>Example output</summary> ```text score filepath 0.297 "/photos/sunrise-beach.jpg" 0.286 "/photos/dawn-walk.png" 0.274 "/photos/morning-hike.heic" ``` </details> <img alt="rclip usage demo" src="https://raw.githubusercontent.com/yurijmikhalevich/rclip/main/resources/rclip-usage.gif" width="640px" /> The first time you run **rclip** in a directory, it extracts features from your images to build the search index. How long this takes depends on your CPU and the number of images you search. On my hardware, it took 15 hour
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:2c2947e403179df6, topic:computer-vision