Upload a JPG or PNG and instantly convert the image into an Excel (.xlsx) pixel-art spreadsheet. 100% browser-based. No server upload required.
Choose any picture and this tool will convert your image into Excel format, where each cell becomes a pixel.
Drag and drop an image here
or
Supported formats: JPG, JPEG, PNG
Select the part of the picture you want to convert to Excel. Or leave as is to convert the entire image.
The converter automatically maps each grid of the image to an Excel cell using the closest matching RGB value. More rows and colums results in higher resolution image in Excel.
Each cell’s background color represents the average color of a block of the original image.
This preview shows the exact colors that will be placed into the Excel file. The preview is scaled up for easier viewing.
When you’re satisfied with the crop and pixel size, click below to download the xlsx file.
The conversion is fully local — your images never leave your device.
pipenv install requests This command updates the Pipfile and generates/updates the Pipfile.lock . Development dependencies are specified similarly but are intended for development use only. You can add them using:
pipenv install --dev pytest Pipfiles offer a more structured and comprehensive approach to managing Python project dependencies compared to traditional requirements.txt files. With features like dependency groups, hashes for security, and consistent dependency resolution through Pipfile.lock , Pipfiles are an excellent choice for modern Python projects. Example Pipfile Here's a simple example of what a Pipfile might look like:
[requires] python_version = "3.9"
pipenv --python 3.9 This command creates a new virtual environment with Python 3.9 and generates a Pipfile and a Pipfile.lock in your project directory. You can add dependencies to your Pipfile by editing it directly or using pipenv commands. For example, to add requests as a dependency:
pip install pipenv After installing pipenv , you can create a new Pipfile for your project by navigating to your project directory and running:
[dev-packages] pytest = "==6.2.4" This Pipfile specifies a Python version, a dependency on requests version 2.25.1, and a development dependency on pytest version 6.2.4.
[packages] requests = "==2.25.1"
pipenv install requests This command updates the Pipfile and generates/updates the Pipfile.lock . Development dependencies are specified similarly but are intended for development use only. You can add them using:
pipenv install --dev pytest Pipfiles offer a more structured and comprehensive approach to managing Python project dependencies compared to traditional requirements.txt files. With features like dependency groups, hashes for security, and consistent dependency resolution through Pipfile.lock , Pipfiles are an excellent choice for modern Python projects. Example Pipfile Here's a simple example of what a Pipfile might look like:
[requires] python_version = "3.9"
pipenv --python 3.9 This command creates a new virtual environment with Python 3.9 and generates a Pipfile and a Pipfile.lock in your project directory. You can add dependencies to your Pipfile by editing it directly or using pipenv commands. For example, to add requests as a dependency:
pip install pipenv After installing pipenv , you can create a new Pipfile for your project by navigating to your project directory and running:
[dev-packages] pytest = "==6.2.4" This Pipfile specifies a Python version, a dependency on requests version 2.25.1, and a development dependency on pytest version 6.2.4.
[packages] requests = "==2.25.1"