Mindee is an OCR API for developers: you get an API key, you write the code, and your application receives JSON. If nobody on your team is going to write that code, upload a bank statement here and download the Excel file instead.
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Mindee is a well-regarded developer product with unusually transparent pricing. Buyers look elsewhere when they realize the thing they are shopping for is a finished tool and what Mindee sells is a building block.
You authenticate with a key, post a document, and parse the JSON that comes back. There is a console for testing, but the product assumes an engineer is wiring it into software you own.
JSON is not a workpaper. Turning the response into a columned XLSX with dates formatted correctly, amounts signed correctly, and a running balance is code you write and then maintain.
Mindee prices by page: the free Developer plan covers 250 pages a month, and paid plans start around 44 euros a month for 500 pages with extra pages billed individually. A year of statements for one account can be 60 to 100 pages before you have looked at a second client.
The catalog spans invoices, receipts, identity documents, checks, and more. Breadth is the point of an API platform. It also means no part of the product is shaped specifically around a statement that runs for pages and has to foot.
Retries, rate limits, failed pages, version changes to the model, and the queue that runs it all become your responsibility once the integration is live. That is normal for a developer platform and completely wasted effort if you convert statements by hand anyway.
A bookkeeper cannot use an API. If the people doing the work are accountants rather than engineers, the integration has to exist before anyone gets any value at all.
BankXLSX is the finished version of what most people would end up building on top of an OCR API, limited deliberately to bank and card statements.
The output is an XLSX or CSV with date, description, amount, and running balance already in columns, ready to use.
No API key, no SDK, no environment variables. A bookkeeper uploads a PDF and downloads the file.
Convert an actual statement with no credit card and compare the output to the PDF before you pay anything.
Scanned statements and phone photos convert directly, in PDF, JPG, PNG, BMP, HEIC, and TIFF.
Tuned to the layouts, date formats, and balance columns that US institutions actually print.
Export QBO, OFX, QFX, and QIF as well as Excel and CSV, so the file drops into QuickBooks, Xero, or Quicken.
No key, no code, no credit card.
Drop in a PDF or scanned statement. Multi-page and multi-month files work as one document.
Tip: Password-protected PDFs are supported.
Transactions are extracted into structured columns with the balance preserved.
Tip: Scans are handled by built-in OCR.
Take the Excel or CSV, or export an accounting format for your ledger.
Tip: No parsing code to write or maintain.
An honest side-by-side, including the cases where Mindee is the right purchase.
Convert client PDFs without waiting on an engineer or a build.
Assemble workpapers from multi-month statements in minutes.
Get statement data into Excel for reconciliation and reporting.
Spread borrower transaction history without an integration project.
The deciding question is not accuracy, it is who does the work. Mindee sells extraction as a service that your software consumes. BankXLSX sells the finished spreadsheet to the person holding the statement. If your end state is a feature inside a product you are building, an API is correct. If your end state is a file you open in Excel, an API is a detour with engineering cost attached.
| What you are comparing | BankXLSX | Mindee |
|---|---|---|
| Product type | Finished browser tool | Developer OCR API |
| Who uses it | Bookkeepers, accountants, business owners | Engineers integrating extraction into software |
| Setup required | None, upload and download | API key, integration code, error handling |
| Output | XLSX and CSV, plus QBO, OFX, QFX, QIF | JSON for your application to consume |
| Free tier | Free to try, no credit card | Developer plan, 250 pages a month |
| Paid pricing model | Self-serve plans | Per page, from about 44 euros a month for 500 pages |
| Document scope | Bank and card statements only | Invoices, receipts, IDs, checks, and more |
| Running balance column | Preserved in the export | Whatever your code assembles from the response |
| Maintenance burden | None on your side | You own the integration long term |
| Best for | People converting statements as a task | Teams embedding extraction in a product |
Pricing checked on the vendor pricing page in July 2026 and quoted in euros as published. Vendors change their plans, so confirm current figures before you buy.
Two things stand out. The pricing is unusually clear for this category: a free developer allowance, published per-page rates, and a visible progression as volume grows, in a market where most vendors say contact sales. And the developer experience is genuinely good, with a catalog of ready-made document models so a team does not train anything before shipping.
If you are building software that ingests financial documents from your own users, that combination is hard to beat. You get predictable unit economics and you keep control of the workflow, which matters when extraction is part of your product rather than part of your back office.
Page counts are the trap. Invoices are one or two pages, so a page-based allowance feels generous. A single monthly bank statement can be five to twelve pages, which means a full year for one account is often 60 to 100 pages. Reconstructing three years of history for a loan application or an audit can pass a thousand pages for a single client. A 250-page free tier that looks roomy for invoices covers roughly two or three account-years of statements.
None of that is a criticism of the pricing model, which is fair and transparent. It is a reminder to count your real pages before comparing prices, because the unit you are buying is not the same size as the unit you are thinking about.
Build on an API when extraction has to happen without a human present: a lending product that processes borrower uploads at three in the morning, an accounting platform onboarding thousands of clients, an internal system that pulls documents from a shared mailbox on a schedule. In those cases the integration cost is amortized across enormous volume and there is no alternative that makes sense.
If, on the other hand, statements arrive in an inbox and a person opens them, the integration never pays for itself. The realistic comparison is not API versus tool, it is one week of engineering plus ongoing maintenance versus a file you can download this afternoon.
Run your worst statement through whatever you are evaluating and check the same three things. Row count against the PDF. Closing balance foots. Debits and credits signed correctly. If you also want the data organized afterward, see how to categorize bank transactions from a statement once it is in a sheet, or read the roundup of bank statement to Excel software for the wider field. If your shortlist also includes the hyperscaler OCR services, the Amazon Textract alternative and Google Document AI alternative comparisons cover what those cost per page and what you still have to build. To test on your own file first, the bank statement converter on the homepage is free to try.
If you want a finished spreadsheet rather than JSON, a purpose-built converter is the better class of tool. BankXLSX converts statement PDFs to Excel and CSV in the browser with no API key. If you specifically need an API, compare Mindee against other developer OCR platforms instead.
Mindee publishes a free Developer plan covering 250 pages a month with no credit card, with paid plans starting around 44 euros a month for 500 pages and per-page rates for overage. Higher tiers lower the per-page cost. Figures were checked in July 2026.
Yes. The Developer plan includes 250 pages per month at no cost and does not require a credit card. For bank statements, remember that one monthly statement is often five to twelve pages, so that allowance covers roughly two or three account-years.
Not in any practical sense. There is a console for testing documents, but the product is an API meant to be called from software you build. Extracting statements at any regular volume means writing and maintaining an integration.
Only if extraction has to run inside your own software without a person involved. When a bookkeeper or accountant is doing the work by hand anyway, a browser converter produces the same spreadsheet with no integration to build or maintain.
Yes, there is an API for teams that want to automate conversion, and the browser tool for everyone else. The difference from a general OCR platform is that both paths return statement-shaped output with the running balance intact rather than raw fields.
Accuracy depends on tuning rather than category. A general OCR model reads text well but does not know that a statement must foot. Software built for statements checks row order, signs, and the closing balance, which is what catches an incomplete extraction.
Yes. BankXLSX exports QBO, OFX, QFX, and QIF in addition to XLSX and CSV, so a converted statement imports straight into QuickBooks, Xero, or Quicken without a mapping step or a custom script.
The enterprise IDP platform, compared honestly.
A template-based parser, compared side by side.
Another OCR API platform, compared.
Automate conversion without building extraction.
Convert PDF statements straight to Excel.
From the same family of tools
Get started converting bank statements to spreadsheets.
USD
per month
billed as
$288 yearly
Choose speed vs accuracy when extracting
| Base AI Faster | 2,500 pages |
| Pro AI Best accuracy | 500 pages |
Scale statement conversion across your team with automation.
USD
per month
billed as
$888 yearly
Choose speed vs accuracy when extracting
| Base AI Faster | 10,000 pages |
| Pro AI Best accuracy | 2,000 pages |
Enterprise-grade bank statement conversion and controls.
USD
per month
billed as
$ yearly
Choose speed vs accuracy when extracting
| Base AI Faster | pages |
| Pro AI Best accuracy | pages |
