Upload a statement in any format, ask in plain English, and instantly see who you paid, who paid you, totals, date ranges and trends. No spreadsheets. No manual sifting.
Built in Rust for speed and precision: deterministic results, no AI guesswork, and nothing about your data leaves your control. From a single receipt to a year of enterprise transactions.
PDF, CSV, Excel, text or a whole archive. Auto-detects columns, currency and layout, no templates.
"How much did I send to John this year?" Smart search understands names, dates and money-in vs out.
Instant totals, counts, averages, first/last dates, duration and net flow, split by money in and out.
Scans tens of thousands of transactions in a fraction of a second. Big exports don't slow it down.
Deterministic, no AI training, no data resale. Raw account numbers are never stored.
One click to PDF, Excel, CSV, JSON, or a shareable image card.
A statement that takes you an afternoon takes the engine milliseconds.
Search one keyword and see every payment to or from that person or business, with the account it went to.
Totals, ranges and net flow across weeks, months or years, instantly.
Drag in a PDF, CSV, Excel file or archive from any bank. No setup, no templates.
Type a name, keyword, or a full question like "how much did I spend on rent this year".
See debit vs credit totals, dates, duration and every matching transaction, then export it.
Anyone who needs answers out of a bank statement, without the manual sifting.
Assess affordability and income from an applicant's statement in seconds: inflows, outflows and net position.
Reconcile, categorise and total transactions across formats without rekeying a single row.
Trace money to a specific person or account and build a clean evidence trail.
Confirm a tenant actually paid rent, when and how much. No more scrolling PDFs.
Analyse payouts, settlements and supplier spend from your POS or bank export.
Turn statements into clear financial evidence for divorce, debt or contract cases.
Summarise balances, inflows and activity duration for immigration or embassy submissions.
Flag flows to a suspicious account and quantify exposure quickly during a review.
Finally know where your money goes, by name or category. Receipts for that one argument.
It is a tool that reads your bank statement and answers questions about it. Upload the file, type a name, a keyword or a plain-English question, and you get the matching transactions with totals for money in and money out, dates and duration.
Any bank that lets you download a statement as PDF, CSV or Excel. It has been tested most heavily on OPay statements. CSV and Excel exports from other banks work when they include date, description and amount columns. ZIP archives and plain text files are accepted too.
No. Your statement is processed in memory, is never written to disk, and is cleared automatically shortly after you finish. Transactions are not saved, sold or used to train anything.
Yes. Try: how much did I spend on chicken last month, everything sent to John this year, transfers between 20k and 45k, or money I sent in the night after I paid the hotel 30k on 25 March. It understands names, dates, amounts, money in versus money out, and before or after another payment.
Upload your statement, type the person's name and press Analyze. You will see every transfer to and from them, the total, the number of transactions, and the first and last dates.
Yes. Results export to PDF, Excel, CSV and JSON, and you can save a shareable image card of any search.
It is free to use and you do not need to sign up. Businesses that want it inside their own workflow can get in touch by email.
Lenders, fintechs, accounting firms and back-offices: we can tailor the engine to your workflow, run it on your own infrastructure, or plug it into your product via API. Tell us your use case.
Upload a statement now and get your first breakdown in seconds. No account needed.
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