Reducto AI Alternative for Bank Statements: Reducto API Pricing and PDF to Excel or CSV

Reducto AI vs BankXLSX for bank statements: which one fits the job

Reducto is a serious commercial document platform. It came out of Y Combinator, it sells to enterprise AI teams, and its Parse, Extract, Split, Classify and Edit endpoints are genuinely good at reading hard documents. This page is not going to pretend otherwise, and there is a section further down covering the cases where Reducto is clearly the better buy.

What Reducto returns is structured JSON built for language models. What a bookkeeper needs is a workbook that foots. Those are different deliverables, and the distance between them is software somebody has to write and keep writing.

Reducto details verified on 30 August 2026 against the official Reducto documentation and pricing page. Vendors change rates and capabilities, so confirm the current figures before you commit to an approach.

What is Reducto AI?

Reducto describes itself as an agentic document platform for AI teams. In practice it is a set of API endpoints you call from your own software. Parse converts a document into structured JSON by running OCR, detecting layout and organizing content into chunks and blocks. Extract pulls specific fields against a schema you define and can attach citations pointing back to where each value came from. Split divides a long file into logical sections, Classify sorts documents before parsing, and Edit fills forms.

Around those endpoints sit the things enterprise buyers ask for: Python, Node and Go SDKs, a CLI, an MCP server, webhooks, async job queues, uploads up to 5 GB, more than 30 file types, and a Studio workspace for inspecting results. Security posture is strong, with SOC 2 Type 2, HIPAA support, zero data retention agreements, EU and AU residency endpoints, and VPC or on-premises deployment at the Enterprise tier.

It is a well-built platform. The question on this page is narrower: what does it take to get a bank statement out of it and into a spreadsheet that reconciles.

Reducto API pricing: what a bank statement actually costs

Reducto moved from credit-based billing to per-product pricing, and the list rates below take effect on 1 September 2026. Reducto states that no existing customer pays more in their current term as a result, and that Extract, Deep Extract and Split get cheaper for many customers because parsing is now included rather than billed separately.

The Standard pay-as-you-go plan gives you your first 15,000 credits free with no card, then charges $0.015 per credit. Growth and Enterprise are both custom pricing through sales, and that is where the compliance features, volume discounts, higher rate limits and on-premises deployment live. Guaranteed concurrent pages run 200 on Standard, 350 on Growth and 500 or more on Enterprise. Spreadsheet inputs are metered by cells rather than pages.

Read the multipliers carefully, because that is where a statement budget goes wrong. A dense statement page can bill as a complex page at $30 per 1,000, and turning on an agentic mode doubles it again. The headline number and the invoice are not always the same shape.

Rates above are Reducto list prices published in their documentation and take effect 1 September 2026. Contracted customers may have negotiated different rates, and Reducto states that its contract and rate card are the source of truth.

Can Reducto convert a bank statement to Excel?

Not into an Excel file, no. Reducto will read the statement well and detect the transaction table, and it does offer a csv table output format. But that CSV is returned as a string inside the JSON response, one block per detected table. There is no XLSX writer, no downloadable workbook, and no QBO, OFX, QFX or QIF export anywhere in the platform. Turning that response into a file your accountant opens is code you write.

There is a wrinkle worth knowing before you pick csv for financial documents. Reducto own documentation recommends the html table format for financial statements and regulatory filings, because html is the only format that preserves merged cells, while markdown and json formats flatten them. So the output format that is easiest to drop into a spreadsheet is also the one most likely to lose structure on exactly the documents this page is about.

What you still have to build on top of Reducto

This list is much the same whichever parsing API you start from, and it is where the project time actually goes.

• Tables into a single register. A statement is one continuous ledger printed across pages. You get tables per page, with repeated column headers that must be dropped rather than counted as transactions.
• Sign normalization. Some banks print separate debit and credit columns, some a single signed column, some a trailing CR marker. Each needs its own rule, and the rules do not generalize between institutions.
• Dates with no year. Registers print 12/28 and then 01/03. The year comes from the statement period, and a period crossing December means incrementing partway down the column.
• Wrapped descriptions. A long ACH memo spilling onto a second line arrives as a row with no amount. Merge it wrongly and you have invented a transaction.
• Summary blocks that look like transactions. Fee summaries, interest tables and daily balance grids are also tables on the page, and a general parser has no reason to treat them differently from the register.
• Footing the balance. Opening balance plus credits minus debits has to equal the printed closing balance. Without that check, an extraction that quietly drops one row in four hundred looks perfect and is wrong in a way that is expensive to find during an audit.
• File writers. XLSX formatting, and QBO, OFX, QFX or QIF if the data is going into QuickBooks, Xero or Quicken.

None of these is hard on its own. Together they are a small product with an owner, and every new bank layout arrives as an edge case without warning. Teams routinely budget one sprint for this and end up with a permanent maintenance line.

What Reducto is genuinely better at

Several things, and they are real advantages rather than consolation prizes.

It handles any document type, not just statements. If your corpus is contracts, insurance forms, medical records, filings and slide decks, Reducto covers all of it through one platform. A statement converter covers one document type on purpose.

Extraction citations and bounding boxes. Extract can link every value back to its source location in the document. For a regulated review workflow where someone has to prove where a number came from, that is a genuinely valuable feature and a purpose-built converter does not replace it.

Enterprise deployment and compliance. VPC and on-premises deployment, zero data retention agreements, business associate agreements, EU and AU residency, SSO and SAML, role-based access control. If your policy forbids client financial PDFs leaving your tenant, that is the deciding factor.

Throughput at scale. Guaranteed concurrent page baselines, custom rate limits, batch queues at a discount, and uploads up to 5 GB. Feeding it millions of pages is a supported use case, not an edge case.

It is built to be programmed. SDKs in several languages, a CLI, an MCP server, webhooks and composable pipelines. If you are assembling document infrastructure, that is the right shape of tool.

If you are an engineering team building a document pipeline, and bank statements are one document type among many, Reducto is a sound choice and you should evaluate it properly.

Is Reducto free?

There is a free allowance rather than a free product. The Standard pay-as-you-go plan includes your first 15,000 credits at no cost with no credit card, and every core endpoint plus up to five Studio seats is included. After that allowance you pay per page, and anything needing volume discounts, compliance agreements or on-premises deployment moves to Growth or Enterprise, both of which are quoted by sales rather than published.

How to decide between them

Ask who operates it and what the deliverable is. If an engineer owns it, it lives inside software your team maintains, the document corpus is wider than bank statements, and you need citations or an on-premises deployment, use Reducto. If the deliverable is a spreadsheet that has to foot and the person doing the work is a bookkeeper or an accountant, buy the finished converter and spend the engineering time somewhere that differentiates your business.

Extraction accuracy rarely decides this and neither does volume. Both approaches read the page well. What differs is how much of the distance to a usable, reconciled spreadsheet is already covered before you write any code.

Plenty of teams run both: a general parsing platform for the wider corpus, and a purpose-built converter for the financial documents where the arithmetic has to hold. To see the wider field, the best bank statement converter roundup lines the options up. Among the other API-first parsers, LlamaParse is the closest commercial equivalent and Docling is the open-source one you can self-host, while the Amazon Textract alternative, Google Document AI alternative and Azure Document Intelligence alternative comparisons cover the managed clouds. For a per-page cost breakdown across vendors, see OCR API pricing for bank statements.

If you want API convenience without owning the statement layer, the bank statement converter API returns statement-shaped output directly. If the spreadsheet is the deliverable, the bank statement converter is free to try on a real file, and once the data is in a sheet you can categorize the transactions or run a bank reconciliation.