Spliit is a free and open source alternative to Splitwise. You can either use the official instance at Spliit.app, or deploy your own instance:

• Create a group and share it with friends
• Create expenses with description
• Display group balances
• Create reimbursement expenses
• Progressive Web App
• Select all/no participant for expenses
• Split expenses unevenly (#6)
• Mark a group as favorite (#29)
• Tell the application who you are when opening a group (#7)
• Assign a category to expenses (#35)
• Search for expenses in a group (#51)
• Upload and attach images to expenses (#63)
• Create expense by scanning a receipt (#23)

• Ability to create recurring expenses (#5)
• Import expenses from Splitwise (#22)

• Next.js for the web application
• TailwindCSS for the styling
• shadcn/UI for the UI components
• Prisma to access the database
• Vercel for hosting (application and database)

The project is open to contributions. Feel free to open an issue or even a pull-request!

If you want to contribute financially and help us keep the application free and without ads, you can also:

• 💜 Sponsor me (Sebastien), or
• 💙 Make a small one-time donation.

1. Clone the repository (or fork it if you intend to contribute)
2. Start a PostgreSQL server. You can run ./scripts/start-local-db.sh if you don’t have a server already.
3. Copy the file .env.example as .env
4. Run npm install to install dependencies. This will also apply database migrations and update Prisma Client.
5. Run npm run dev to start the development server

1. Run npm run build-image to build the docker image from the Dockerfile
2. Copy the file container.env.example as container.env
3. Run npm run start-container to start the postgres and the spliit2 containers
4. You can access the app by browsing to http://localhost:3000

Spliit offers users to upload images (to an AWS S3 bucket) and attach them to expenses. To enable this feature:

• Follow the instructions in the S3 bucket and IAM user sections of next-s3-upload to create and set up an S3 bucket where images will be stored.
• Update your environments variables with appropriate values:

NEXT_PUBLIC_ENABLE_EXPENSE_DOCUMENTS=true
S3_UPLOAD_KEY=AAAAAAAAAAAAAAAAAAAA
S3_UPLOAD_SECRET=AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
S3_UPLOAD_BUCKET=name-of-s3-bucket
S3_UPLOAD_REGION=us-east-1

You can also use other S3 providers by providing a custom endpoint:

S3_UPLOAD_ENDPOINT=http://localhost:9000

You can offer users to create expense by uploading a receipt. This feature relies on OpenAI GPT-4 with Vision and a public S3 storage endpoint.

To enable the feature:

• You must enable expense documents feature as well (see section above). That might change in the future, but for now we need to store images to make receipt scanning work.
• Subscribe to OpenAI API and get access to GPT 4 with Vision (you might need to buy credits in advance).
• Update your environment variables with appropriate values:

NEXT_PUBLIC_ENABLE_RECEIPT_EXTRACT=true
OPENAI_API_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXX

You can offer users to automatically deduce the expense category from the title. Since this feature relies on a OpenAI subscription, follow the signup instructions above and configure the following environment variables:

NEXT_PUBLIC_ENABLE_CATEGORY_EXTRACT=true
OPENAI_API_KEY=XXXXXXXXXXXXXXXXXXXXXXXXXXXX

MIT, see LICENSE.