CapyParse

What is CapyParse?

CapyParse is an AI-based document parsing tool that converts bank statements and financial PDF files into structured transaction data. It is designed for accountants, bookkeepers, business owners, and financial teams, with the aim of reducing the need to manually enter dates, descriptions, and amounts from PDF files.

The tool can handle text-based PDFs, as well as identify scanned documents, faxes, and photos from mobile phones using OCR. After extraction, users can review the transactions alongside the original documents, modify any suspicious fields, and then export the data to spreadsheets or accounting systems.

A one-sentence summary

CapyParse can convert PDFs and scanned statements from various banks and in different formats into auditable transaction tables, with outputs available in formats such as CSV, Excel, QBO, OFX, or QFX.

Main functions

AI transaction extraction

The platform identifies fields such as dates, summaries, income, expenses, and balances from tables and transaction lists. It does not require users to create templates manually for each bank.

OCR for scanned documents and photos

The built-in OCR can process scanned documents that lack an optional text layer as well as images taken with a smartphone. The official website recommends using a resolution of 300 DPI or higher, but any OCR system may misinterpret blurred numbers or special symbols.

Original text comparison and confidence level

The review interface places the original PDF alongside the extracted transactions, and assigns a confidence level to each field. Users can focus their attention on those entries with a low confidence level, without having to re-enter all of the information manually.

Verification of amounts and totals

The system will attempt to verify the amount extracted against the balance and total amounts stated in the document. This can help identify missing lines, incorrect symbol directions, or decimal point errors, but it cannot replace the formal verification carried out by a bank.

Splitting of multi-account statements

For comprehensive statements that combine multiple accounts in a single PDF, CapyParse can split the transaction lists and export the files by account. When reviewing such statements, it is still necessary to verify that the last digits of the account numbers, the currency, the time period, and the starting and ending balances are correct and not mixed up across different accounts.

AI cleaning and editing

Before exporting, it is possible to classify transactions, standardize the name of the recipient, modify dates, or reverse the sign of income and expenses. Automatic classification should serve only as an initial suggestion; accounting categories, tax treatments, and customer rules need to be confirmed manually.

Batch scanning and workspace

The Firm package offers batch scanning and export of multiple statements, and it supports up to 10 workspace members. The Starter package supports 3 members and is suitable for individuals, small teams, or businesses with a low volume of monthly transactions.

Input and output formats

Complete workflow

1. Verify that the document includes the full reconciliation period, all page numbers, account identifiers, and the starting and ending balances.
2. Depending on the level of sensitivity, it is determined whether to use a local format converter or cloud-based AI for the analysis of the statements.
3. Upload a PDF or image, and wait for OCR, table recognition, account separation, and amount verification to be completed.
4. Start the review with the fields of low confidence, and compare the date, summary, direction of transactions, and amounts item by item with those on the original page.
5. Check whether the starting balance plus and minus transactions equal the ending balance, and verify the subtotal on the page, amounts transferred across pages, and the currency used.
6. Use the editor to standardize the payee and date, but do not allow the AI to determine the tax category automatically in the absence of supporting documents.
7. To export in the desired format, first check the mapping in a test account or within the accounting software, and then import it officially.
8. After completing the checks, export the review records, and delete the cloud documents that are no longer needed in accordance with the company’s retention policies.

Tutorial on converting bank statements to Excel

1. Open the statement and check the page numbers, image clarity, password protection, and whether the document is reversed.
2. Upload the file; if it is a comprehensive statement for multiple accounts, check the automatic splitting performed by the platform in the results.
3. In the side-by-side review interface, filter out fields with low confidence levels, paying special attention to the number 0 and the letter O, as well as the minus sign and decimal point.
4. Verify the start and end dates, starting and ending balances, number of transactions, and total amounts of income and expenditure for each account.
5. In the AI cleanup feature, adjust the dates, payees, and categories; check a sample first for batch replacement.
6. Export the Excel file and check the cell types, date formats, currency precision, encoding, and hidden columns.
7. Keep an unmodified original file along with the exported version that has been reviewed, noting the reviewer’s name and the date of completion.

Import into QuickBooks or other accounting software

1. Determine whether the target software supports QBO, OFX, QFX, or CSV; do not rely solely on the file extension to make a guess.
2. In CapyParse, the account type, currency, date, and transaction sign are verified, and then the desired format is generated.
3. Before importing, check the start and end dates of existing transactions in the accounting system to avoid duplicate imports.
4. First, import a short-period account or a test account to check the direction of transactions, the currency used, the dates, and the summary mappings.
5. After importing all the files, complete the bank verification; do not skip the balance check just because the files have been accepted by the system.

Which users are it suitable for

• Accountants and bookkeepers: Convert customer bank statements in bulk into data that can be imported, and then perform verification.
• Small and medium-sized business owners: Convert bank PDF files into Excel or accounting software to avoid repeated data entry.
• Financial Operations Team: Aggregates transactions from multiple accounts and months into unified fields for analysis.
• Auditors and due diligence officers: First, they structure the statements of account, and then identify large-value, repeated, or abnormal transactions.
• Logistics and transportation team: Utilizes the platform’s retrieval capabilities to organize shipping documents, invoices, and documents related to packaging.
• Individuals who need a one-time conversion: carry out small-scale processing using the free page quota or a one-time credit package.

Typical use cases

• Restore historical transactions from bank PDFs for bookkeeping adjustments, system migrations, or annual consolidation.
• Consolidate the monthly transaction records from multiple banks and accounts into an Excel report.
• Prepare bank transaction import files for QuickBooks, Xero, Wave, or compatible software.
• Handle scans of varying quality, different formats, or international bank statements.
• Extract table data from invoices, financial reports, bills of lading, and shipping documents.
• During auditing or due diligence, create a list of transactions that can be filtered, and then refer back to the original PDF documents for evidence collection.

Product advantages

• Focusing on bank statements and financial forms is closer to the accounting process than using ordinary OCR that only produces unstructured text.
• It can process digital PDFs, scans, and photos; there is no need to create pre-defined templates for each bank.
• It provides the original text side by side, along with confidence level and balance checks, thereby focusing manual effort on suspicious transactions.
• It supports CSV, Excel, QBO, OFX, and QFX, allowing you to choose between table analysis and accounting systems.
• The comprehensive statement is automatically split by account, reducing the need for manual pagination and repeated exports.
• AI-free QBO, OFX, and QFX format converters can run locally in the browser, with the files remaining on the device.

Usage restrictions and precautions

• OCR and AI parsing cannot be 100% accurate; blurry scans, seals, complex tables, and transactions that span multiple pages can easily lead to errors.
• The accuracy rate of over 99% shown on the official website is a figure provided by the supplier; it does not specify the sample size, the criteria for selecting fields, nor the methods used for independent testing.
• Transaction documents contain account details, income and expenditure information, merchant data, and potentially personal information; it is necessary to verify permissions and compliance before using cloud AI to extract this data.
• The validity periods for free pages, subscription pages, and one-time page packages are different; therefore, all of these quotas should not be considered as permanently accumulative.
• The fact that an accounting system can accept QBO or CSV files does not mean that the fields have been mapped correctly; an incorrect direction for income and expenses can lead to errors in large numbers of transactions.
• When using customer statements, accounting firms need to define the delegation of authority, workspace permissions, deletion schedules, and procedures for employee turnover.
• The platform features an English-based interface; although it can handle statements in multiple languages, regional differences in numbering, currency, and date formatting still need to be taken into account.

Prices and packages

As of August 21, 2026, CapyParse offers free accounts, monthly subscriptions, annual subscriptions, one-time page packs, and custom solutions. The homepage also provides a demo access option that allows 6 pages per day without the need for registration; this should be considered separately from the 10-page free account allowance available to users who have registered.

With an annual payment, you don’t have to pay 24 or 66 dollars per month; instead, you pay 290 or 790 dollars at once, which is equivalent to two months of service for free compared to the monthly payment. The number of pages included in the subscription resets each month, and the annual payment does not grant access to all pages for the whole year at once.

One-time page count package

Each PDF page or each converted image is counted as 1 page. When the number of pages is insufficient, the credits available for the current subscription month are used first, followed by the one-time purchase option; the final price, taxes, and benefits are determined as indicated on the settlement page.

Privacy differences between free tools and cloud-based AI

Data security and privacy

CapyParse’s privacy policy lists data such as names, email addresses, IP addresses, bank statements, financial transactions, payment tokens, and usage logs. The uploading of documents can be handled with the help of Google, Microsoft Azure, Mistral AI, and Anthropic; Supabase is used for data storage, while Stripe and PostHog handle payments and usage analysis respectively.

The authorities state that personal information is not sold, and the service providers are bound by contracts that prohibit them from using such data for their own purposes. Nevertheless, the billing statements leave the user’s device and pass through various processing parties; therefore, companies should include these transmission processes in their risk assessments of suppliers.

Retain and Delete

For active accounts, the privacy policy states that data can be retained indefinitely, until the user requests its deletion or when the service is no longer needed. If a account is not accessed for two consecutive years, the platform says that the account data will be automatically deleted.

Users can delete documents from the dashboard, and can submit requests regarding privacy matters such as access, deletion, or correction. For accounting firms, it is necessary to establish a customer document cleanup process that is shorter than the two-year automatic deletion period, and one that can be verified.

List of security practices

• Only statements that have obtained business authorization and for which the intended use has been disclosed should be uploaded.
• Use separate employee accounts and password managers; do not share login credentials.
• Restrict access to work areas by customer and project, and remove such restrictions immediately when employees leave or a project is completed.
• After exporting the file, it is stored in an encrypted location approved by the company, and not left in the personal download directory for an extended period.
• After completing the review, import, and audit retention, proactively delete the documents that are no longer needed in the cloud.
• Before purchasing a Custom solution, it is necessary to specify the location of the data, encryption methods, sub-processors, backup procedures, deletion protocols, and rules regarding security incidents.

Platform support and integration

APIs, SDKs, and open-source status

As of the time of verification, the official website did not provide any public API references for ordinary developers, an API key console, Webhooks, or official SDKs. The ERP and cloud storage connectors included in the Custom package are part of custom integrations designed for enterprises, and should not be regarded as public platform APIs that can be used freely.

No official GitHub organization, open-source OCR models, parser repositories, or open-source licenses were found linked on the official website. The CapyParse product itself should be considered a closed-source commercial SaaS; the export of files in open formats does not mean that the product is open source.

Basic information

Recommendation score

Its rating is 4.4 out of 5 points. CapyParse integrates functions such as dedicated extraction for bank statements, OCR, comparison with the original text, confidence assessment, balance verification, and export in accounting format into a single process, making it more suitable for accounting reviews than ordinary PDF-to-table tools.

The main drawback is that cloud-based AI systems are required to handle highly sensitive financial documents; moreover, while public APIs and more advanced automation options are available, there are only customization guidelines, no documentation for self-development. Additionally, the accuracy provided by such systems cannot replace the manual review by professional accountants or the verification processes carried out by banks.

Frequently Asked Questions

Is CapyParse free?

There is a free way to use it. The demo on the home page allows processing up to 6 pages per day without registration; by creating a free account, an additional 10 pages can be processed, and no credit card is required.

Will the free 10-page version expire?

The current price page indicates that 10 free pages have no expiration date. This is different from the package of pages whose count is reset each month as part of a subscription, and from the package of one-time pages with a one-year validity period.

Can it identify statements that have been scanned or photographed with a smartphone?

Scans and phone photos can be recognized using OCR. To reduce errors, it is necessary to keep the pages flat, intact, free of shadows, and to use a high resolution as much as possible.

Is it compatible with multiple languages and different banks?

The official website claims to be able to handle documents from more than 1,000 banks, in various formats and in multiple languages. Users should still use their own bank samples to test currency codes, date formats, decimal separators, and the direction of income and expenses.

How to calculate the number of pages?

Each PDF page or each converted image is counted as 1 page. A statement with 5 pages will use up 5 pages of the quota, even if only some of those pages contain transactions.

Can it be imported directly into QuickBooks?

It is possible to export QBO files and upload them using QuickBooks’ bank import process; CSV files can also be used. This is a one-time file import, not continuous bank synchronization, so repeated checks and verifications are still required.

Will the data be processed locally?

It depends on the tool. Free format converters such as QBO, OFX, and QFX can be used directly in the browser, whereas extracting data from AI bank statements requires uploading them to the cloud and using external processing services.

Can I delete the uploaded document?

The official website states that it is possible to delete data from the dashboard at any time, and a request to have such data removed can also be submitted. The data of active accounts, on the other hand, can be retained for an extended period; therefore, one should not rely solely on automatic deletion processes.

Are the extraction results always accurate?

Not necessarily. The platform acknowledges that OCR might misread numbers, which is why it provides the original text along with a confidence level; it is essential to review the amounts, balances, and direction of transactions before exporting or recording them.

Are APIs or SDKs provided?

No public APIs or official SDK documentation were found. Customers with high usage volumes can inquire about cloud storage, email, ERP services, and custom integrations available in the Custom package.

Is CapyParse open source?

No. No official open-source code repository or open-source license was found; it is a closed-source commercial Web service.

Can I get a refund after making the payment?

The terms of service state that, unless required by law, the subscription fees that have been paid cannot be refunded. It is recommended to first use the free page limit to test your document before choosing a monthly, annual, or one-time payment plan.

Summary

CapyParse is an AI-powered financial document tool with a clear purpose: it is particularly useful for converting bank statements into transaction data that can be reviewed and imported. Its value lies in the fact that it combines OCR technology, the ability to separate multiple accounts, confidence scoring, balance verification, and export in various formats into a single verification process.

Users should not assume that \"AI verification\" means that no manual review is required, especially with regard to amounts, symbols, accounts, and duplicate transactions before they are imported into the accounting system. The team should also distinguish between local conversion and cloud-based AI based on the sensitivity of the statements, and take proactive action to manage document deletion.