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Free, open-source RAW photo editor for Windows, macOS and Linux. A modern RawTherapee fork with AI masking, film looks and colour grading.

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Steep

A modern, AI-enhanced fork of RawTherapee for RAW photo editing.

Steep keeps RawTherapee's processing engine — which is excellent, and decades in the making — and rebuilds the experience around it: a cleaner interface, a set of AI-assisted tools, some creative effects that weren't there before, and a way for AI agents to drive the editor directly. Nothing from the original was removed.

Status: In active development. Editing, export, and everything RawTherapee could already do are solid. The newer additions vary in maturity — see Feature status for an honest breakdown.

Steep — Editor


Contents


Downloads

Builds are published automatically from the dev branch every time it changes.

Platform Architecture Download
Windows x86_64 Installer (.exe) · ZIP
Windows ARM64 Installer (.exe) · ZIP
macOS Apple Silicon DMG (.zip)
macOS Intel x86_64 DMG (.zip)
Linux x86_64 AppImage
Linux ARM64 AppImage

Everything else, including debug builds, is on the nightly releases page.

The Windows installer recognises an existing copy of Steep and updates it in place, keeping your settings, profiles and cache. If it finds installs left behind by much older builds, it offers to clear them out first.


What Steep adds

Editing tools

3-way colour grading. Four colour wheels — shadows, midtones, highlights, and one for the whole image — each with its own luminance control, plus blending and balance sliders for where those ranges hand off to each other. Right-click a wheel to send it back to neutral, or hold Shift while dragging to move it at quarter speed when you need to be precise.

Point colour. Pick a colour out of the photo and adjust just that one — hue, saturation, luminance, and how wide a range around it to include. You can stack as many targets as you need, and each gets a readable name automatically.

Glow & Halation. Three related light effects, each with its own controls: a soft glow that bleeds out of bright areas, halation with adjustable warmth for the red-orange fringe you get around highlights on film, and anamorphic-style flares with adjustable length and angle. A shared threshold decides how bright something has to be before it starts blooming.

Double Exposure. Blend a second photo into the one you're editing, the way a film camera stacks frames. It can meter each exposure down automatically as a real camera would, or leave it uncompensated for the blown, luminous look.

Film Presets. Film emulation you can actually steer — strength, contrast, saturation, warmth, tint and fade, plus separate hue and tint control over shadows and highlights, and halation, RGB shift and rolloff on top. Hovering a preset previews it. The stock names are invented rather than real brands, deliberately.

Tilt-Shift. The miniature effect, with blur strength, focus position, width, feathering and rotation. You can drag the focus band around on the photo itself instead of guessing at numbers.

Lens corrections. Steep looks up your camera and lens automatically and tells you what it matched, right under the button. If nothing matches you can pick a profile by hand, and there's a checkbox to make automatic matching the default for every photo.

AI-assisted tools

Smart Tools, in the Spot Removal panel. Brush-based cleanup backed by an inpainting model: paint over something and it fills in from the surroundings the moment you let go — a single click for a dab, or drag for a freeform stroke. Remove Object is the mature one. Remove Dust, Remove Reflections and Generative Fill are there but newer and less proven.

Smart masks. Instead of tracing a selection, click what you want and a mask of it is built for you. There's also a lasso that clings to nearby edges as you draw, so a rough outline is usually enough. These feed the existing local-adjustment tools, so anything you can do to a whole photo you can do to just the subject, or just the sky.

AI denoise. Machine-learning denoising with an ISO control, a blend slider to dial back how much of the cleaned result you keep, optional GPU acceleration, and results cached per ISO so re-running is quick. It works in the background and can be cancelled. The model ships with Steep and inference runs inside the app, so there is nothing to install. If you already use RawRefinery, Steep will pick up its model too rather than making you keep a second copy.

Auto Edit. Right-click photos in the browser and Steep grades them for you — exposure, white balance, and a film stock chosen to suit the picture. There's a neutral variant if you want the correction without the look.

Interface

Mode-based editor. The old stack of tabs is gone, replaced by four modes:

Mode What's in it
Presets Browse presets as cards, with thumbnails showing what each one does
Edit Every editing tool in one scrolling panel, grouped into Light, Colour, Detail, Effects, Advanced and Calibration
Crop Crop, resize, rotation, perspective, distortion and lens geometry
Mask Local adjustments and masking, including the AI masks

Preset browser. Presets are a grid of cards with preview thumbnails, sorted into collapsible categories, with quick cards for Custom and Last Saved. Full save, load, copy, paste, rename and delete, and you can drag them into whatever order suits you.

Sliders that behave. Each slider draws its name and value inside a single pill, rather than a slider plus a separate spin box. Click the number to type an exact value. Double-click or right-click to reset it. Right-click the Edit pencil for a slider that scales the text and pill size, if the defaults don't suit your screen.

Floating panels. History and Navigator can be pulled out into their own windows.

Themes. Five of them — RawTherapee Modern, RawTherapee Legacy, Rem (deep navy and indigo, with cyan and copper), TooWa Blue, and TooWa Grey Bright. Each is a palette layered on one shared stylesheet, so switching themes changes the colours without disturbing the layout.

Browsing and organising

Steep — File Browser

Albums. Group photos independently of where they sit on disk. Regular albums are manual; smart albums fill themselves from rules — rating, colour label, file type, camera, lens, ISO, focal length, aperture, whether it's been edited — combined with AND/OR. Folders keep albums tidy. Everything syncs across open browser windows and survives a restart.

Filmstrip and thumbnails. Thumbnail size is adjustable for both the filmstrip and the browser, and the filmstrip can sit at the top or the bottom of the editor — the rating and sorting buttons move with it. Both are in Preferences.

Before/After. The "before" side shows the original, unedited photo.

Export

Export queue. Queued photos appear as rows straight away, and get a badge on their thumbnail in the browser so you can see at a glance what's already waiting.

Filename templates. The help panel lists ready-made templates you can apply with one click — beside the original, into an "Exported" subfolder, and so on — and hovering one shows you exactly where an example photo would end up.

Watermarks. Text, an image, or both. Choose the font, size, weight and colour, add an outline and a drop shadow, and place it on a nine-point grid with margin and rotation. The image shares the outline, shadow, opacity, position and rotation settings with the text, and leaving the text empty gives you an image-only watermark. There's a live preview.

MCP server for AI agents

Steep runs a built-in MCP (Model Context Protocol) server, which lets AI assistants and scripts drive the editor over HTTP. It starts with the application.

Tool What it does
get_image_info Image metadata and EXIF
get_params / set_params Read and write processing settings across 20+ sections
set_tool_enabled Turn an individual tool on or off
list_tools List every tool and its current state
adjust_exposure Quick exposure change
adjust_white_balance Quick white balance change
load_profile / save_profile Read and write PP3 profile files
list_volumes Connected drives and mount points
get_mount_events Notifications when drives come and go
scan_photos Read EXIF across a folder
import_photos Import and file photos by date

Finding the port. Steep picks a port at random between 39000 and 39999 each time it starts, so there is no fixed address to hard-code. Open MCP Server... in the app to see the current one, along with connection and request activity.

Then point your client at it — for Claude Code, in .mcp.json:

{
  "mcpServers": {
    "steep": {
      "type": "http",
      "url": "http://localhost:PORT/mcp"
    }
  }
}

Replace PORT with the number the dialog shows.


Feature status

Feature Status
Mode-based editor, preset browser, slider redesign Working
3-way colour grading, point colour Working
Film presets, tilt-shift Working
Glow & halation Working
Double exposure Working
Lens correction auto-matching Working
Albums and smart albums Working
Export queue, filename templates, watermarks Working
Floating history and navigator Working
Themes Working
MCP server Working
Auto Edit Working
Smart masks (AI selection, lasso) Working
AI denoise Working
Smart Tools — Remove Object Working, but see the note below
Smart Tools — Dust, Reflections, Generative Fill In progress
Everything RawTherapee already did Untouched

Smart masks and AI denoise are switched on in every download here — there is nothing extra to fetch or configure. They are only optional if you build it yourself, where AI masking is off by default on Linux and macOS unless you pass -DWITH_AI_MASKING=ON.

Remove Object is the exception, because its model is around 200 MB — too big to keep in the repository, and enough to more than double the size of a download if it were simply bundled. So Steep fetches it on demand instead: Smart Tools shows a Download button the first time you need it, and the Windows installer offers the same thing as an opt-in step. It is a one-off, kept with your settings, and the tools work immediately afterwards without a restart. Everything else in Steep is unaffected while it downloads.


Building from source

What you need

The same as RawTherapee, plus a couple of optional extras.

Required: CMake 3.15+, GCC 4.9+ or Clang, GTK+ 3 with gtkmm 3.24, libraw, lensfun, lcms2, libiptcdata, librsvg, libtiff, libjpeg, libpng, zlib, expat, fftw3, exiv2, and libjxl for JPEG-XL.

Optional: ONNX Runtime 1.17+, which turns on smart masks, Remove Object and AI denoise. On Windows a copy is included in the repository and these are on by default; on Linux and macOS, install it and add -DWITH_AI_MASKING=ON.

The mask and denoise models are in the repository and get installed for you. The Remove Object model is not — at roughly 200 MB it does not belong in git. Steep downloads it on demand from its original home on Hugging Face, verified against a known checksum, so there is nothing to set up. If you would rather have it baked into the build:

cmake .. -DWITH_AI_MASKING=ON -DAI_INPAINT_MODEL_BUNDLE=ON

Add -DAI_INPAINT_MODEL_BUNDLE=ON to download it at build time and package it instead, which suits an offline install. An existing rtdata/models/lama_inpainting.onnx is never re-downloaded.

One note on exiv2: Steep builds against both the 0.27 and 0.28 series, which changed a good deal of their API in between. Either will work.

Linux

sudo apt update
sudo apt install -y build-essential cmake git libgtk-3-dev libgtkmm-3.0-dev liblensfun-dev liblensfun-bin liblcms2-dev libiptcdata0-dev librsvg2-dev libcanberra-gtk3-dev libtiff-dev libjpeg-dev libpng-dev libgif-dev libwebp-dev libwebpdemux2 zlib1g-dev libexpat1-dev libfftw3-dev libbrotli-dev libinih-dev gettext libexiv2-dev

JPEG-XL is optional, and only packaged on Ubuntu 24.04 / Mint 22 and newer:

sudo apt install -y libjxl-dev

Then build:

git clone https://github.com/cheetohsum/Steep.git
cd Steep && mkdir build && cd build && cmake .. -DCMAKE_BUILD_TYPE=Release && make -j$(nproc) && sudo make install

Add -DWITH_AI_MASKING=ON to the cmake line if you want the AI masking tools.

If cmake stops on a missing package such as exiv2>=0.24 not found, install the matching -dev package and run it again. On older releases libtiff-dev may be called libtiff5-dev.

Windows

Build under MSYS2 in the MINGW64 environment — that is what the release builds use:

mkdir build && cd build && cmake -G Ninja -DCMAKE_BUILD_TYPE=Release .. && ninja && ninja install

WSL2 with WSLg also works if you would rather build against the Linux instructions above and run it through X.

macOS

brew install cmake gtk+3 gtkmm3 libraw lensfun little-cms2 libiptcdata librsvg libtiff jpeg libpng fftw exiv2 jpeg-xl
mkdir build && cd build && cmake .. -DCMAKE_BUILD_TYPE=Release && make -j$(sysctl -n hw.ncpu) && sudo make install

Docker

There is a Dockerfile set up for building with AI masking:

docker build -f Dockerfile.aimasking -t steep-aimasking .

However you build it, the application is called steep (and steep-cli for the command-line version), not rawtherapee.


Project layout

Steep/
  rtengine/          Processing engine — demosaic, colour, denoise, effects
  rtgui/             The GTK3 application
    mcp/             MCP server
    tools/           Tool panels — curves, colour grading, film presets, the rest
    widgets/         Custom controls — sliders, colour wheels, curve editors
    windows/         Dialogs — preferences, history, navigator, double exposure
  rtdata/            Resources shipped with the app
    themes/          Themes, with the shared stylesheet in themes/common
    languages/       Translations
    icons/           SVG icons
    models/          AI model files
  cmake/             CMake modules
  tools/             Build and utility scripts

Acknowledgments

Steep is built on RawTherapee. The processing engine, the demosaicing algorithms, the colour management and the many years of careful work behind them are the RawTherapee team's, not ours.

License

GNU General Public License v3.0, the same as RawTherapee. See LICENSE.

About

Free, open-source RAW photo editor for Windows, macOS and Linux. A modern RawTherapee fork with AI masking, film looks and colour grading.

Topics

Resources

Contributing

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

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