An application for managing AI-driven image-to-video filmmaking workflows, supporting structured organization, versioning, and annotation of generated stills, videos, and lipsync assets.

Shotbuddy has a straightforward interface, similar to existing shotlist applications, but optimized for AI filmmakers.

Create new shots and iterate versions with simple drag and drop. Generated images and videos are automatically copied into a clean folder structure and renamed to the correct shot. New shots can be added before or in-between existing ones, due to the flexible three-digit shot naming convention. Should there be a need for even more (between SH011 and SH012, for example), naming continues with an underscore (e.g. SH011_050).

Click on an asset's thumbnail and be taken to the folder with all previous versions. You can change this behavior in settings and instead view all the most recent versions of assets in the "latest" folder.

Via the "P" button on each asset thumbnail, prompts can be documented. A version history is available via the dropdown on the top right of the window.

Rename shots by clicking on their name. This automatically renames all previous versions and their folder name in the file system.

Save reference images in the collapsible sidebar to the right of the UI! These can also be renamed with a click on their names.

Each project contains a shots directory with the following structure:

shots/
    wip/              # per-shot folders
        SH###/
            images/   # versioned stills
            videos/   # versioned videos
            lipsync/  # lipsync assets
    latest_images/    # latest image for each shot
    latest_videos/    # latest video for each shot
ref-images/           # reference images

The application automatically manages the latest versions in latest_images and latest_videos while keeping all historical versions and lipsync assets inside the wip shot folders.

Follow these steps to get the application running on any operating system. The only prerequisite is that git is already installed on your machine.

1. Install Python 3 – Download and install the latest version of Python 3 from python.org or use your operating system's package manager.

2. Clone the repository

   git clone https://github.com/albozes/shotbuddy.git

   cd shotbuddy

3. Create and activate a virtual environment

   Windows

   python -m venv venv

   venv\Scripts\activate

   Linux/macOS

   python3 -m venv venv

   source venv/bin/activate

4. Install dependencies

   pip install -r requirements.txt

5. Run the development server Windows

   python run.py

   Linux/macOS

   python3 run.py

6. Open your browser

   By default, Shotbuddy will be available at http://127.0.0.1:5001/

Server settings can be defined in the shotbuddy.cfg file located in the repository root. The file uses INI syntax and contains a [server] section with host and port keys:

[server]
host = 0.0.0.0
port = 5001

Values specified via environment variables override those in shotbuddy.cfg. Available variables are:

• SHOTBUDDY_UPLOAD_FOLDER – directory used for temporary uploads (default: uploads).
• SHOTBUDDY_HOST – address the Flask server binds to (default: 127.0.0.1).
• SHOTBUDDY_PORT – port number for the development server (default: 5001).
• SHOTBUDDY_DEBUG – set to 1 to enable Flask debug mode.

Right-click the grid header to toggle columns on or off. The Image and Video columns are visible by default while the Lipsync column is hidden. Shot Name and Notes are always shown. Visibility preferences are saved per project and persist across sessions.

The Lipsync column provides a dedicated space for managing lipsync assets per shot. Files are uploaded via drag-and-drop — when dragging over a lipsync cell, a quadrant overlay appears with four labeled drop zones: Driver (source audio/video), Target (video to sync to), Result (final output), and Custom (user-labeled files, such as pure audio files). Uploading to custom prompts you for a label that is appended to the filename. Lipsync files are stored in a lipsync/ directory within each shot's folder.

This project is licensed under the MIT License. Some third-party assets (e.g., icons) are included under their own licenses, as detailed in the THIRD_PARTY_LICENSES file.