How do my card transactions get in?
Import the CSV files you already download from your bank or card account.
Direct bank integration is not live today.
Buyer Questions
Use this page to confirm how the workflow fits your household, what setup is required, and what to expect from Amazon reconciliation, AI costs, outputs, and platform availability.
Windows available now. macOS coming soon.
Import the CSV files you already download from your bank or card account.
Direct bank integration is not live today.
Most households should start with managed credits for the simplest setup.
Use the example ranges below to budget in credits and approximate dollars.
If Amazon asks you to log in, you sign in directly there in your own local browser window.
Your Amazon username and password are not entered into an UnboxedSpend form.
No AI training is required from you.
UnboxedSpend uses AI to generate categorization rules for you.
Local CSV files you can review and import into your existing budgeting workflow.
That includes categorized output plus Amazon clearing outputs.
Windows is available now. macOS is coming soon.
Current target: within 2 weeks.
UnboxedSpend starts from manual CSV imports today. You download the bank or credit-card CSV files you already use, import them into the app, and then use those files as the baseline for categorization and reconciliation.
Direct bank integration is not live today. It may be added later if enough households want it, but the current product promise is CSV-in and CSV-out.
Today the workflow starts from the CSV files you already download from your bank or credit-card account.
Build a categorized baseline from those files while keeping your transaction history on your own machine.
Match orders, split shipments, refunds, and gift-card activity against the categorized baseline.
Review the resulting local CSV files and move them into the household budgeting workflow you already use.
For fast categorized CSV output from your imported card files.
For order-level Amazon clearing built from your categorized baseline and Amazon transaction history.
For item-level Amazon allocation once you have Amazon's order-history personal-data export.
No AI training is required from you. UnboxedSpend uses AI to generate categorization rules, so your role is to import files, review the output, and keep the workflow moving rather than teaching a model from scratch.
When you click Extract Amazon Transactions, UnboxedSpend opens a new browser window on your machine and works through that local session instead of asking you to type Amazon credentials into an UnboxedSpend form.
Amazon often keeps you signed in already, even after a restart, so extraction can begin without extra setup.
If Amazon shows a login page, you sign in directly with Amazon in that browser window, then the automated extraction continues normally.
Your Amazon username and password are not entered into an UnboxedSpend form.
If Amazon changes the page structure and normal extraction breaks, UnboxedSpend first falls back to AI parsing. If that also fails, we develop an update fix and charge a small update fee for that repair.
Managed credits are the simplest default for most households. Bring your own API key stays available if you prefer direct provider billing and more control.
10 to 25 credits
About $1 to $3
Managed credits or direct provider billing
A smaller month with a few CSV imports or a short catch-up session.
30 to 75 credits
About $3 to $9
Managed credits are usually the easiest fit
A normal household reconciliation rhythm with regular categorization and occasional cleanup.
80 to 200 credits
About $8 to $20
Use managed credits or your own API key for higher-volume months
A backlog-clearing month with more imports, retries, and extra categorization passes.
Windows available now. macOS coming soon. Targeting macOS availability within 2 weeks.
The finished outputs stay on your machine as CSV files, so you can inspect them locally and move them into your household budgeting workflow without waiting on a cloud export.
~/UnboxedSpend/output/Categorized/all_categorized_normalized.CSV
Your main categorized aggregate output, including the prized `ai_category` result that speeds up downstream budgeting work.
~/UnboxedSpend/output/ClearingAccount/Amazon_Clearing_Account.CSV
Order-level Amazon clearing output built from the categorized baseline plus transaction-history reconciliation.
~/UnboxedSpend/output/ClearingAccount/Itemized_Amazon_Clearing_Account.CSV
The deeper item-level clearing file for households that want product-by-product Amazon detail.
Not today. UnboxedSpend currently starts from manual CSV imports that you download from your bank or credit-card account yourself. Direct bank integration may be added later if demand is strong enough.
Start with the bank or credit-card CSV files you already download. If you are using the Amazon workflows, you then add the Amazon-side history or order-history files that match the tier you are using.
The Free License is meant for evaluation. You can test up to 5 CSVs per run, up to 3 Amazon Transaction History pages, and up to 1 Gift Card Activity page before you move into the paid unlimited tiers.
No. You can download first, but dashboard access becomes useful as soon as you want to manage licenses, set your password, or top up managed AI credits.
The public website currently supports the Windows desktop installer first. macOS coming soon. Targeting macOS availability within 2 weeks.
No. When you use Amazon extraction, UnboxedSpend opens a local browser window on your machine. If Amazon shows a login page, you sign in directly there with Amazon, and the automation continues after that local session is ready.
The normal flow keeps the login inside your own local browser session instead of an UnboxedSpend credential form. If Amazon changes the page structure and normal extraction breaks, UnboxedSpend first falls back to AI parsing. If that also fails, we develop an update fix and charge a small update fee for that repair.
UnboxedSpend writes local CSV outputs on your machine, including the categorized baseline file, the Amazon clearing-account file, and the itemized clearing-account file when you use the deeper Itemize workflow.
The public site now frames this as example household budgeting ranges in both credits and approximate dollars. Those examples are meant to help you plan, not to act as fixed quotes, because actual spend varies with provider, model, file size, and how many categorization requests you run.
Use Managed AI for the fastest setup and tracked credits. Use your own API key if you want billing to stay directly with your provider.
No AI training is required from you. UnboxedSpend uses AI to generate categorization rules, so your job is to import files and review the results instead of teaching a model from scratch.
Instant Reconciler is for order-level Amazon clearing built from your categorized baseline. Line-Item Allocator goes deeper to the item level once you have Amazon's order-history personal-data export ready.
Open the password setup page or dashboard recovery path. If you still need help, use the feedback page and include the email tied to your license.
Itemize depends on Amazon order-history personal data exports. Most users need to request that file from Amazon first, and it commonly arrives a couple of days later.