searchi app icon

searchi

Find what matters. Locally.

Your documents, code, photos, music and movies. One place to search.

You remember what was in the file. searchi helps you find it—even when you don't remember what it was called.

Search a filename, a phrase, or describe what you're looking for in your own words. See the relevant passage or media preview alongside your results, then open the file. Your files stay on your device.

searchi finding a supplier agreement and highlighting its matching passage

“cancel the supplier partnership” finds the agreement and brings its termination passage into view.

Press Ctrl + Shift + Space on Windows to bring searchi forward and type. Escape or closing the window hides it while search stays ready. Use the tray icon beside the clock to open searchi or quit it.

Find it your way

What you remember What to try
The file's name Supplier agreement.pdf
Words inside a document sixty days written notice
What a document is about cancel the supplier partnership
What a piece of code does retry failed requests with exponential backoff
An exact code symbol refreshAccessToken
A photo's subject mountains reflected in calm water
An artist or song title Nina Simone or Feeling Good, if present in your music tags
A scene or sound Try rain and thunder or a boat crossing a lake in experimental media search

Names, words and meaning work together. Exact filenames help you get straight to a known file. Content search finds the words inside it. Google EmbeddingGemma 2 adds local semantic search for related meaning, images and sound.

Use All files to narrow results by folder, file extension, modification date, file size or media duration. Choose a result to inspect it before opening.

The current Windows app offers Artist (exact) and Track title (exact) filters for music. Enter the complete tag, with or without a text query. These filters ignore letter case and surrounding spaces; files without the matching music tag stay out of the results. Existing indexes need a media indexing pass before these filters can use their tags. They require Windows 0.1.5 or later.

Search spoken passages

Windows 0.1.6 adds experimental local speech recognition for audio and video. Describe a spoken topic, inspect the recognized passage, and jump to its estimated position. Google EmbeddingGemma 2 remains the search model; the additional speech models help turn spoken words into searchable passages. For example, try someone talking about equal rights in a recording that contains that topic. Use the current Windows installer below, or the Linux headless 0.1.6 archive.

Find the implementation

Choose Code in the All files filters to search source files. Look up a symbol you know, or describe the behavior you need. Local Google embeddings help connect your description to an implementation; the preview preserves code formatting and shows the source passage's starting line.

Rust, Python, JavaScript/TypeScript, C/C++, Go, Java, C#, Swift, SQL and many other source formats are supported, including named build files such as Makefile and Dockerfile. Add your project folder and let semantic indexing finish for meaning-based search. See code search for details and agent integration.

A little less searching. A little more finding.

Matching words stand out in the results and document preview. PDF results retain their page number; text results show the relevant passage. If you'd like an explanation, expand the small Why this result? detail.

searchi's dark theme with search results and a document passage

Light and dark themes follow your system preference. Keyboard navigation, short transitions and reduced-motion support keep the interface familiar and comfortable. In Settings → Appearance, choose a solid, glass or frosted-glass window background and adjust its tint. Reading surfaces stay clear. Native glass currently requires Windows 11 22H2 or later. macOS, Linux, unsupported Windows versions and high-contrast mode currently use a solid background; your appearance preference is retained.

searchi finding and previewing a mountain lake photograph

“mountains reflected in calm water” searches the pictures themselves, so a useful filename isn't required.

Images open in the preview. Audio and video have playback controls, and matching media segments can jump to their approximate location. Nothing autoplays when you select a result.

Get searchi

Windows x64 version 0.1.7 is available.

Already installed? Choose Quit from the tray before updating. Version 0.1.7 adds a resident tray launcher alongside experimental local speech search, exact music artist/title filters and retains the fixes for archived files dated before 1970. It includes isolated PDF/DOCX processing and bounded media previews.

The installer creates a launcher and sets up WebView2 if needed. This initial release is unsigned. A Linux desktop preview is also available; macOS source build instructions are available now. You can also let your local AI agent handle setup.

Ubuntu 24.04 x64 desktop preview: Download the Debian package and install with sudo apt install ./searchi_0.1.4_amd64.deb. Checksums. Startup was tested in WSL using CPU; native graphical interaction and other distributions still need testing. Compatibility and evidence.

Running a Linux server? The optional Linux x64 headless preview 0.1.6 includes the CLI, read-only MCP server, Google runtime, media helpers and experimental local speech search. Follow the archive's START-HERE.txt to download recognition models and index spoken passages. It was tested on Ubuntu 24.04 and requires GLIBC 2.39 and a compatible C++ runtime. Checksum · Headless setup. No desktop dependencies are required.

Install with your agent — copy and paste

Paste this into an agent that can run commands on your computer:

Install searchi on this computer and get it ready for my first search.
Official repository: https://tea.karlcom.de/karl/searchi

Detect my operating system and processor architecture. Use a suitable official
release from the README or releases page: choose the newest compatible artifact
for my platform, even if it is attached to an older release. Use the Windows
installer, compatible Ubuntu desktop package or Linux headless archive. Check
its documented system requirements and verify its published checksum. Otherwise,
set up the current source version using the repository's installation/build
instructions. Handle the required tools and dependencies for me; don't just
give me a list of commands to run. Keep the installation in a dedicated folder
and preserve any existing searchi settings and index.

Use the public download URLs; no private Gitea token is needed. If Cloudflare
returns HTTP 403 to a command-line downloader, use a browser download or retry
the same official URL with User-Agent Mozilla/5.0, then verify the checksum.

Install the desktop app by default. On headless Linux, install the command-line
version instead, without desktop dependencies. Set up the genuine local Google
EmbeddingGemma 2 runtime and model, and the media helpers available for my
platform. Use supported hardware acceleration with CPU fallback. Explain any
large downloads or platform limitations before proceeding with those steps.

On desktop, launch searchi and verify that its window opens and its local search
model is ready. Create a launcher or shortcut; on Windows, show me the tray icon
and Ctrl + Shift + Space shortcut. On headless Linux, verify the CLI and its
bundled workers instead, then provide a repeatable search command or MCP setup.
On Windows, configure a per-user login launcher with --background so the global
shortcut is ready after sign-in; keep the app accessible through its tray menu.
If a prerequisite, platform component
or permission prevents setup, explain precisely what is missing; don't report
a working installation until it is verified. Ask for my help only when a
password, system approval or other manual action is required.

Let me choose which folders to index. Keep search local and optional cloud
summaries disabled. On desktop, show me how to add a folder; on headless Linux,
prepare the chosen folder through the CLI. Finish with a filename search
followed by a search in my own words.

Your agent needs internet access and permission to install software locally. Windows x64 setup can use the published installer; Ubuntu 24.04 x64 can use the desktop preview, and compatible headless Linux systems can use the preview archive. Other platforms currently build from source. The local search model downloads approximately 865 MB once. The current Windows speech feature automatically downloads about 149 MB of additional local assets afterward. Cached assets are reused; filename and keyword search remain available while models prepare. Your agent should report any platform limitation it encounters.

Prefer to set it up yourself? See the build and launch instructions.

Once searchi is running:

  1. Choose Add folder, browse to the folder you want to search, then choose Index folder.
  2. Start with a filename or words you remember. These searches become available as files are indexed.
  3. Let the local search model prepare in the background. First setup downloads approximately 865 MB and needs an internet connection. Document and code search by meaning can begin once the smaller text model and text index are ready, while the larger media model continues downloading. The app shows progress and keeps text search available if media setup needs a retry.
  4. Describe what you're looking for, select a result and inspect the preview. Press Enter to open the selected file in its usual application.

How quickly a folder becomes searchable depends on its size and contents. The desktop keeps its search model warm for subsequent searches. searchi watches your chosen folders and updates search in the background as files change. You can also use Reindex to check a folder again, for example after reconnecting an external drive.

searchi automatically chooses supported graphics acceleration when available and falls back to CPU when it cannot use it. You do not need a graphics development toolkit. Hardware and release validation are still in progress.

Private by design

You choose the folders to index. By default, file contents, previews and search processing stay local. Ordinary searches aren't sent to a cloud AI service.

If you enable optional AI answers, an explicit Summarize or Ask action sends the previewed document excerpt to the endpoint you choose. Ordinary searches continue to run locally.

The model download happens during setup. Once it's ready, semantic inference runs on your device. The local search index contains information from your files, so protect it as you would the files themselves.

Documents and media

Files Current support
Documents PDF, DOCX, plain text, Markdown and source code
Photos JPEG, PNG, WebP and BMP
Music and audio MP3, FLAC, WAV, M4A, OGG, Opus, AAC and AIFF
Movies and video MP4, MKV, MOV, AVI, WebM, M4V and MPEG

Media search is experimental. Image, audio and video search are implemented, but relevance still needs improvement. Music descriptions can produce broad matches; use exact artist/title filters when you know the tags. Video sampling can miss a brief scene. In speech search, recognized text can contain errors or miss words, and timestamps are estimates rather than verified word positions. When your files contain no suitable match, semantic search may still show the closest results; a returned result does not prove the requested content exists. Inspect the passage or preview before relying on it. Playback also depends on the formats your system supports; you can open a file in its usual player if the preview cannot play it.

Fast should feel fast

Each search shows a compact result count and timing summary. Want to look closer? Enable Performance details in settings for a breakdown of where the time went. Copied timing reports exclude your search text and file paths.

See the optional performance view

searchi showing measured search timings in its optional performance panel

Your agent can search, too

Connect a local AI agent to searchi's read-only MCP server. It can search your chosen index and return snippets, source locations and search timings using the same engine as the desktop. A reusable skill also helps agents use searchi through the command line. Connect an agent. Your agent receives the returned excerpts; cloud agents handle them according to that client's configuration.

On Windows x64, your agent can use the optional CLI/MCP download with its own checksum. Extract the ZIP alongside the installed desktop runtime helpers; it includes the document extraction helper. No Rust build is needed. Install the desktop app first for the model setup and runtime helpers, then connect the CLI to that app's existing index.

Optional answers, your choice

Want a short summary or an answer about a passage? Connect your preferred OpenAI-compatible endpoint, including a local model server. Preview exactly which excerpt will be sent, then choose Summarize or Ask. The feature is off by default; search works without it. Set up optional answers.

Help shape searchi

Found a problem, or searched for something that should have been easy to find? Report it or suggest an improvement. Describe what you expected and what happened; use made-up examples if your files contain private information.

For contributors: building searchi and the headless Linux CLI · roadmap · search-quality evaluation.

The screenshots show the working interface searching real example files with the local Google model. They are browser captures of the app interface; operating-system window borders are omitted. Photo credits.

Made by Karl. Open source under the MIT license.

S
Description
Private desktop search for documents, code and media. Google EmbeddingGemma 2, hybrid retrieval and local agent tools. Windows, macOS and Linux; headless CLI.
Readme MIT
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2026-10-14 10:46:19 +00:00
Languages
Rust 61.8%
Python 21.5%
TypeScript 5.7%
C++ 4.7%
JavaScript 2.8%
Other 3.5%