ConvertBankToExcel vs Dividend Data
Side-by-side comparison to help you choose the right tool.
ConvertBankToExcel
ConvertBankToExcel quickly transforms PDF bank statements to Excel, CSV, and more with 99% accuracy in under 30 seconds.
Last updated: February 26, 2026
Dividend Data
Dividend Data delivers automated stock data, including dividends and financials, directly into your Google Sheets or Excel spreadsheets.
Last updated: March 11, 2026
Visual Comparison
ConvertBankToExcel

Dividend Data

Feature Comparison
ConvertBankToExcel
99%+ Accuracy Rate
ConvertBankToExcel boasts a remarkable accuracy rate of over 99%, verified by CPAs. This high level of precision ensures that users receive reliable data extraction from their bank statements, minimizing errors and enhancing data integrity in financial reporting.
Fast Processing Time
The platform processes bank statements in under 30 seconds on average, allowing users to swiftly convert their documents without unnecessary delays. This efficiency is vital for accounting professionals who often work under tight deadlines and require quick access to accurate financial data.
Extensive Bank Support
With support for over 20 major US and Canadian banks, ConvertBankToExcel is versatile and user-friendly. This feature simplifies the conversion process, as users can easily upload statements from widely used banking institutions such as Chase, Wells Fargo, and TD Bank.
Multiple Export Formats
ConvertBankToExcel provides nine export formats, including QuickBooks (QBO/QFX/OFX/IIF), Excel, CSV, JSON, and XML. This extensive range of export options ensures that users can easily integrate the converted data into their preferred accounting software, facilitating a smoother workflow.
Dividend Data
Comprehensive Spreadsheet Integration
The platform provides seamless integration with both Google Sheets and Microsoft Excel via dedicated add-ins. Users access data through 16+ custom functions, such as DIVIDENDDATA_DIVIDENDS, DIVIDENDDATA_RATIOS, and DIVIDENDDATA_QUOTE. These functions allow for dynamic, live data retrieval directly into spreadsheet cells, transforming static sheets into powerful, auto-updating analysis tools. The integration requires no coding, maintaining the familiar spreadsheet environment while supercharging its capabilities with professional data feeds.
Extensive Historical & Fundamental Data Library
Dividend Data grants instant access to a deep historical database covering 30+ years of market data. This includes not only dividend history and forward-looking metrics but also complete fundamental data: income statements, balance sheets, cash flow statements, and over 100 key financial ratios (e.g., P/E Ratio, Debt-to-Equity). The coverage of 80,000+ tickers ensures data is available for a vast array of global stocks, ETFs, and other securities, supporting thorough historical trend analysis and comparative fundamental research.
Dividend-First Analytical Functions
Tailored specifically for income investors, the tool offers specialized functions that output critical dividend metrics. Users can retrieve forward annual dividends, forward dividend yields, next ex-dividend dates, payout ratios, and dividend growth rates with single formulas. This focused feature set allows for rapid screening, yield calculation, and sustainability analysis directly within a portfolio model or research sheet, streamlining the workflow for constructing and monitoring dividend growth portfolios.
Free Tier with Generous Monthly Credits
A key differentiator is the sustainable free access model. The platform offers a permanent free tier that provides 2,500 credits per month without trial expiration or credit card requirements. This allows users to perform substantial monthly analysis, such as pulling data for hundreds of stock queries, at zero cost. This model lowers the barrier to entry for individual investors and provides real utility before any upgrade consideration.
Use Cases
ConvertBankToExcel
Tax Preparation
Accountants and tax professionals can utilize ConvertBankToExcel to organize and convert bank statements for tax filing. The platform streamlines the preparation process by providing accurate and easily accessible financial data, ensuring compliance with IRS requirements.
Mortgage Applications
When preparing financial statements for mortgage applications, ConvertBankToExcel helps users present organized bank statements to lenders. This capability is crucial in expediting approval processes and meeting the financial documentation requirements of mortgage applications.
Visa Applications
Financial documentation is often a key requirement for visa and immigration processes. ConvertBankToExcel assists individuals in converting their bank statements to meet the necessary financial standards set by embassies and immigration authorities.
Accounting and Bookkeeping
For CPAs and bookkeepers, ConvertBankToExcel is an essential tool for converting various bank statements into usable formats. This functionality allows professionals to maintain organized records, improve financial analysis, and enhance client service through timely data access.
Dividend Data
Automated Dividend Portfolio Tracking
Investors can build a dynamic dividend portfolio tracker in their preferred spreadsheet. By using formulas like DIVIDENDDATA_DIVIDENDS to pull yield and payment data for each holding, the portfolio sheet can automatically calculate projected annual income, portfolio yield, and track ex-dividend dates. This eliminates manual data entry and ensures the portfolio dashboard always reflects the latest declared dividends and share prices.
Fundamental Stock Screening and Analysis
Analysts and investors can create custom stock screens using the live data functions. By building a sheet with columns for various metrics (e.g., P/E ratio, dividend yield, payout ratio, EPS growth), users can paste a list of tickers and instantly populate a comparable analysis matrix. This facilitates rapid identification of stocks meeting specific fundamental criteria, such as those with a yield above 3%, a P/E below 20, and a payout ratio under 60%.
Historical Financial Performance Research
For deep-dive research on a specific company, users can construct multi-year financial models. Formulas can pull 10+ years of annual revenue, net income, EPS, and dividend per share data into adjacent columns, enabling the creation of charts and the calculation of compound annual growth rates (CAGR) for critical financial metrics. This supports thorough due diligence on a company's long-term financial health and dividend growth trajectory.
Educational Modeling and Backtesting
Students and investing enthusiasts can use the historical price and dividend data to build educational models. For instance, they can create a sheet to backtest a dividend reinvestment plan (DRIP) strategy by pulling historical prices and dividend dates to simulate growth over time. This hands-on access to real historical data provides a practical tool for learning about equity analysis and portfolio mechanics.
Overview
About ConvertBankToExcel
ConvertBankToExcel is a cutting-edge, AI-powered platform designed specifically for accounting professionals looking to streamline the process of bank statement conversion. This innovative tool automates the extraction of transaction data from PDF bank statements, significantly reducing the time and effort spent on manual data entry. With support for over 20 major banks in the US and Canada, ConvertBankToExcel ensures a seamless experience for users by providing data in multiple formats, including Excel, CSV, and QuickBooks. With a proven accuracy rate of over 99% verified by CPAs, this platform has garnered the trust of more than 50,000 accounting professionals who have collectively processed over 1 million bank statements. ConvertBankToExcel empowers users to focus on what truly matters—providing valuable insights to clients—by eliminating hours of tedious manual work. Additionally, the free tier allows users to convert seven pages daily without the need for a credit card, making it accessible for all professionals.
About Dividend Data
Dividend Data is a specialized financial data platform engineered to provide institutional-grade stock market intelligence directly within the workflow of fundamental and dividend investors. Its core product is a powerful spreadsheet add-in for Google Sheets and Microsoft Excel that eliminates the traditional barriers to accessing deep financial data. The platform delivers over 30 years of historical and real-time data for more than 80,000 global tickers through a suite of simple, custom spreadsheet formulas. Users can instantly pull critical metrics such as dividend amounts, yields, payout ratios, growth rates, complete financial statements, earnings data, valuation ratios, and price history without requiring API keys, coding knowledge, or manual copy-pasting from external sources. Built by a dividend investor for the community, Dividend Data distinguishes itself with a permanently free tier offering 2,500 monthly credits, robust functionality across both major spreadsheet ecosystems, and a focus on the specific data points that income-focused and value investors need to make informed decisions. It is designed for individual investors, financial analysts, and portfolio managers who demand comprehensive, reliable data but seek to avoid the complexity and high cost typically associated with professional financial data terminals.
Frequently Asked Questions
ConvertBankToExcel FAQ
How does ConvertBankToExcel ensure accuracy in data extraction?
ConvertBankToExcel employs advanced AI-powered OCR technology and rigorous testing, resulting in a CPA-verified accuracy rate of over 99%. This ensures that the extracted data is reliable and precise.
Can I convert scanned PDF bank statements?
Yes, ConvertBankToExcel is equipped to handle both digital and scanned PDF documents. The AI-powered OCR technology effectively extracts data from various types of bank statements, ensuring versatility in document handling.
What banks are supported by ConvertBankToExcel?
The platform supports over 20 major banks in the US and Canada, including well-known institutions like Chase, Bank of America, Wells Fargo, and TD Bank. This extensive support simplifies the conversion process for users across different banking services.
Is there a free trial available?
Yes, ConvertBankToExcel offers a free tier that allows users to convert seven pages daily without requiring a credit card. This makes it easy for professionals to try the service and experience its benefits before committing to a paid plan.
Dividend Data FAQ
What data can I access with the free tier?
The free tier provides full access to all of Dividend Data's 16+ custom functions and the entire database of over 80,000 tickers and 30+ years of history. Your usage is limited by a monthly credit allowance of 2,500 credits. Each data point retrieved (e.g., one cell with a price, a dividend yield, an EPS figure) typically consumes one credit. This allows for hundreds to thousands of data points per month, suitable for substantial personal analysis and portfolio tracking.
How does the spreadsheet add-in get installed?
For Google Sheets, you install the "Dividend Data" add-on directly from the Google Workspace Marketplace. For Microsoft Excel, you install the "Dividend Data" add-in from the Microsoft AppSource store within Excel. Both processes are straightforward, following the standard installation flow for each platform. Once installed, the custom functions become available in your spreadsheet, and you can start using them immediately after a quick account sign-up.
Is the data provided live and real-time?
The data is live and reflects the most recent information available from Dividend Data's providers. For market quotes like stock price, it is typically real-time or delayed based on the data feed. Fundamental data, such as financial statements and dividends, is updated as soon as the information is publicly released and processed. The average response time for a data request is 0.84 seconds, ensuring your spreadsheets update quickly.
Do I need to know how to code or use APIs?
No coding or API knowledge is required. Dividend Data is designed specifically to be a no-code solution. All data integration is handled through simple, pre-built spreadsheet formulas that work identically to native functions like SUM() or VLOOKUP(). You only need to know the ticker symbol and the metric code (provided in the documentation) to retrieve any data point.
Alternatives
ConvertBankToExcel Alternatives
ConvertBankToExcel is an AI-powered bank statement converter specifically designed for accounting professionals. This platform falls under the productivity and management category, streamlining the conversion of PDF bank statements into various formats like Excel, CSV, and QuickBooks in a matter of seconds. Users often seek alternatives to ConvertBankToExcel for several reasons, including pricing considerations, feature sets, or specific platform compatibilities that better suit their unique needs. When searching for an alternative, it is crucial to evaluate the accuracy rate of the conversion technology, the range of supported file formats, and the overall processing speed. Additionally, consider the user interface and ease of integration with existing accounting software, as well as the security measures in place to protect sensitive financial data.
Dividend Data Alternatives
Dividend Data is a specialized financial data add-on for Google Sheets and Microsoft Excel, falling into the category of fundamental and dividend investment analysis tools. It provides direct spreadsheet integration for historical dividend data, financial statements, and key metrics without requiring programming skills or API management. Users may explore alternatives for various reasons, including specific budget constraints, the need for different data points like options or macroeconomic indicators, integration with other platforms such as trading software, or a preference for a standalone desktop application rather than a spreadsheet add-on. The core requirement often remains consistent: reliable, historical financial data to inform investment decisions. When evaluating an alternative, key considerations should include the depth and historical range of the dividend dataset, the total cost relative to your data consumption, the ease of integration with your existing workflow, and the breadth of supplementary fundamental metrics offered, such as financial ratios and earnings data.