Dividend Data vs Dokta
Side-by-side comparison to help you choose the right product.
Dividend Data
Automate your investment research with instant stock data and 30+ years of history directly in your spreadsheets.
Last updated: March 11, 2026
Dokta continuously automates your invoices and documents, learning to save you time with every file you process.
Last updated: April 4, 2026
Visual Comparison
Dividend Data

Dokta

Feature Comparison
Dividend Data
Comprehensive Spreadsheet Integration
Dividend Data seamlessly integrates with both Google Sheets and Microsoft Excel through dedicated add-ins, requiring no API keys or coding knowledge. Users access data by typing intuitive custom formulas directly into their cells, which then pull live, updated information from Dividend Data's extensive databases. This feature automates the entire data collection process, transforming static spreadsheets into dynamic, always-current financial models that refresh with a simple recalculation, fostering a cycle of continuous improvement in your analysis.
Extensive Historical & Real-Time Data Library
The platform provides deep historical context with over 30 years of market data across more than 80,000 global tickers. Investors can pull not just current quotes but also decades of dividend history, financial statements, and key ratios. This vast historical depth is crucial for performing robust trend analysis, calculating long-term growth rates, and backtesting investment strategies, enabling a more informed and iterative approach to building and validating financial theses.
Curated Functions for Dividend Investors
Dividend Data offers 16 specialized custom functions tailored specifically for the needs of income and fundamental investors. Formulas like DIVIDENDDATA_DIVIDENDS for forward yield and ex-dates, DIVIDENDDATA_RATIOS for valuation metrics, and DIVIDENDDATA_METRICS for fundamental data ensure users get precisely the data points they need without sifting through irrelevant information. This curated approach streamlines the research process, allowing for faster, more focused analysis and decision-making.
AI-Powered Research & Portfolio Tools
Beyond spreadsheets, the Dividend Data Terminal web-app enhances the ecosystem with AI-powered research capabilities and automated portfolio tracking. The AI Analyst acts as a research assistant, while the portfolio tool automatically aggregates holdings, tracks dividend income, and visualizes performance. This creates a virtuous cycle where spreadsheet analysis informs portfolio decisions, and portfolio data feeds back into analytical models for ongoing optimization.
Dokta
Instant AI-Powered Document Analysis
Dokta's core engine uses advanced OCR and Claude AI (Anthropic) to read, classify, and extract critical data from any uploaded document—photo, scan, or PDF—in less than 60 seconds. It automatically identifies the document type, amounts, due dates, and client or supplier information, turning unstructured files into structured, actionable data and continuously improving its accuracy with every document processed.
Automated Invoicing & Online Quote Acceptance
Streamline your sales cycle from proposal to payment. Create professional quotes and invoices in a few clicks. Send quotes with a secure online acceptance link, allowing clients to approve digitally. With one click, convert an accepted quote into a formal invoice. For freelancers on recurring contracts, Dokta can even automate monthly invoice generation based on agreed day rates, creating a seamless, self-improving billing cycle.
Real-Time Cash Flow & Anomaly Detection
Gain instant, crystal-clear visibility into your financial health with a dynamic dashboard showing invoiced revenue, collected cash, unpaid amounts, and VAT. View trends with a 12-month graph. Simultaneously, Dokta's protective AI actively scans for anomalies like changed IBANs, duplicate invoices, inconsistent VAT, or missing numbering, safeguarding your finances through constant vigilance.
Intelligent Client Database & Automated Reminders
Dokta automatically builds and enriches your contact database by extracting information from your documents, even auto-enriching details via SIRET lookup for French entities. It assigns payment behavior scores to clients and maintains a complete history per entity. Furthermore, it automates the tedious follow-up process by sending polite, professional payment reminders for overdue invoices, recovering revenue while you focus on your work.
Use Cases
Dividend Data
Building Dynamic Dividend Screens
Investors can construct powerful, custom stock screens directly in their spreadsheet. By combining functions for dividend yield, payout ratio, consecutive years of growth, and PE ratio, users can create a live filter that updates automatically as market data changes. This allows for the continuous monitoring of investment criteria and the iterative refinement of a watchlist based on the most current financial metrics available.
Creating Automated Financial Models
Analysts and individual investors can build detailed discounted cash flow (DCF) or dividend discount models (DDM) that pull live data for revenue, EPS, and dividend forecasts directly into their assumptions. This automates the input stage, letting modelers focus on analysis and scenario planning. The model becomes a living document that improves in accuracy and relevance with each data refresh.
Maintaining a Live Portfolio Dashboard
Users can link their portfolio holdings in a spreadsheet to pull real-time prices, dividend announcements, and yield-on-cost calculations. This creates an automated dashboard that tracks total value, income projections, and sector allocation without manual updates. It enables a cycle of continuous portfolio review and rebalancing based on live, aggregated data.
Conducting Historical Comparative Analysis
With access to 30+ years of data, investors can perform deep historical studies, such as analyzing a company's dividend consistency through different economic cycles or comparing the historical volatility and performance of multiple assets. This long-term perspective supports more resilient, iteratively-tested investment strategies grounded in comprehensive historical evidence.
Dokta
Freelance IT Consultant / Developer
For freelancers working on Time & Materials contracts, Dokta eliminates manual monthly billing. Set up your contract once, and Dokta automatically generates and sends invoices, tracks payments, and follows up on late payers. This continuous automation cycle frees up hours each week, allowing you to focus on coding and client projects while the platform iteratively manages your financial backend.
Creative Project Freelancer (Designer, Photographer)
Manage creative projects from the first quote to the final payment seamlessly. Create a proposal, send it for online client acceptance, and convert it to an invoice with one click upon approval. Dokta tracks the project's financial timeline, manages deadlines, and ensures you get paid for your work, creating a professional, automated workflow that improves with every project completed.
Auto-Entrepreneur / Micro-Entrepreneur
Simplify compliance and cash flow management without complexity. Dokta helps auto-entrepreneurs create compliant invoices, track collections in real-time against revenue thresholds, and sends alerts for upcoming URSSAF contribution deadlines. This ongoing oversight provides peace of mind, reduces administrative errors, and creates a sustainable, improving financial practice.
Growing Small Business (SMB)
As a small business scales, document chaos can stifle growth. Dokta centralizes invoice, quote, and contract management for the entire team. It provides a unified view of cash flow, automates payment reminders to improve liquidity, and detects financial anomalies. The platform evolves with the business, ensuring efficient, secure, and intelligent document handling as operations expand.
Overview
About Dividend Data
Dividend Data is a powerful financial data platform designed to empower fundamental and dividend investors with institutional-grade market intelligence directly within their existing workflow. At its core, it eliminates the tedious, error-prone process of manually copying and pasting data by bringing over 30 years of historical stock market data for more than 80,000 tickers straight into Google Sheets and Microsoft Excel. The platform operates on a simple, code-free principle: just type a custom formula like =DIVIDENDDATA_DIVIDENDS("MSFT"), and live data instantly populates your cell. Built by a dividend investor for dividend investors, it provides instant, structured access to critical metrics including dividends, yields, payout ratios, growth rates, complete financial statements, earnings, valuation ratios, and price history through a suite of over 100 metrics. This continuous, iterative flow of data into your spreadsheets allows for dynamic, living models that improve with every refresh, ensuring your investment analysis is always based on the latest information. With a generous free tier offering 2,500 monthly credits and no trial expiration, Dividend Data makes professional-grade analysis accessible to every investor, bridging the gap between sophisticated data needs and a user-friendly, affordable price point.
About Dokta
Dokta is the AI-powered document management platform designed to evolve with your business, continuously refining your administrative workflow. It serves as the central nervous system for freelancers, solo entrepreneurs, auto-entrepreneurs, and SMBs, transforming chaotic document piles into a streamlined, intelligent operation. At its core, Dokta's advanced AI engine reads, classifies, and extracts key data from any invoice, quote, or contract you drop in—all in under 60 seconds. This is just the starting point for a cycle of continuous improvement. The platform then manages the entire document lifecycle: creating professional invoices and quotes, tracking payments, automating reminders for unpaid invoices, managing contracts and deadlines, and even generating actionable tasks automatically. It builds your client database from your documents, provides real-time cash flow tracking, and exports clean data for your accountant. By iteratively learning from your documents and actions, Dokta ensures you never lose a file, miss a deadline, or waste another Sunday on admin. Hosted in Europe on AWS and fully GDPR compliant, Dokta is built to be a secure, ever-improving partner that puts your documents at the heart of your business.
Frequently Asked Questions
Dividend Data FAQ
How does the free tier work?
The free tier provides 2,500 credits per month, which do not expire and renew each month. No credit card is required to start. Each data point retrieved by a formula (e.g., one cell with a dividend yield) typically consumes one credit. This generous allowance allows for substantial usage for personal portfolio tracking and analysis, enabling users to experience and iteratively integrate the tool into their workflow at no cost.
What data can I access with the spreadsheet functions?
You can access over 100 key metrics including forward and historical dividends, ex-dividend dates, dividend yields, payout ratios, stock prices, PE ratios, EPS, full financial statement items (income statement, balance sheet, cash flow), and various other growth and valuation metrics. The 16 custom functions are designed to categorize this data intuitively for fundamental and dividend analysis.
Do I need to know how to code to use Dividend Data?
Absolutely not. Dividend Data is built specifically to require zero coding. You use it just like any native spreadsheet function (e.g., =SUM()). Simply type =DIVIDENDDATA_ and follow the formula syntax to pull data directly into your cell. The integration handles all the complex data fetching in the background, making professional analysis accessible through an interface you already know.
Does it work in both Google Sheets and Microsoft Excel?
Yes, Dividend Data offers fully functional add-ins for both Google Sheets (via the Google Workspace Marketplace) and Microsoft Excel (via Microsoft AppSource). The core experience and formula syntax are consistent across both platforms, allowing you to choose your preferred environment or even use both interchangeably while maintaining a continuous, iterative analysis process.
Dokta FAQ
How does Dokta's AI analysis work?
You simply drag and drop any document—a photo of a receipt, a scanned contract, or a PDF invoice—into Dokta. Within 60 seconds, our system combines Optical Character Recognition (OCR) with advanced Claude AI from Anthropic to read the text, classify the document type (e.g., invoice vs. quote), and extract key data like amounts, dates, and client details. This data is then presented for your validation, and the system learns continuously to improve accuracy.
Is my data secure and compliant with European regulations?
Absolutely. Data security and privacy are foundational to Dokta. All data is 100% encrypted using AES-256 standards and is hosted exclusively on Amazon Web Services (AWS) servers located in Paris, France. We are fully compliant with the EU's General Data Protection Regulation (GDPR), ensuring your business and client information is protected according to the strictest European laws.
What happens if I exceed my monthly document limit?
Dokta offers a transparent Free Discovery tier with 15 documents per month. If you exceed your plan's limit, you will be notified and can upgrade to a higher plan (Starter, Freelance, or Pro) that offers a larger monthly document allowance. This ensures you only pay for the capacity you need as your business grows and your document volume increases iteratively.
Can I connect Dokta to my accounting software?
Currently, Dokta focuses on providing a flawless, self-contained management experience and robust export functionality. You can export all your financial data—invoices, client lists, transactions—to a universal CSV file at any time. This file is formatted for easy import into any major accounting software or for sending directly to your accountant, ensuring a smooth handoff without manual data entry.
Alternatives
Dividend Data Alternatives
Dividend Data is a specialized financial data service that brings over 30 years of stock market history directly into spreadsheets. It falls into the category of tools designed for fundamental and dividend investors who prioritize ease of use and deep historical analysis without complex setups. Users often explore alternatives for various reasons, including specific budget constraints, the need for different feature sets like real-time alerts or broker integrations, or a requirement to use a platform other than Google Sheets or Excel. The search for the right tool is a continuous process of matching one's evolving investment strategy with available solutions. When evaluating any alternative, consider the depth and reliability of historical data, the simplicity of integration into your current workflow, and the overall value relative to cost. The goal is to find a service that not only meets your immediate data needs but also adapts to support your long-term analytical growth and iterative refinement of your investment process.
Dokta Alternatives
Dokta is an AI-powered document management platform designed to automate the administrative workload for freelancers, solo entrepreneurs, and small to medium-sized businesses. It belongs to the business and finance software category, focusing on streamlining the entire document lifecycle from creation to payment tracking. Users often explore alternatives to find a solution that aligns perfectly with their budget, specific feature requirements, or preferred platform ecosystem. When evaluating different tools, it's crucial to consider your core needs. Key factors include the depth of AI automation for data extraction, the flexibility of pricing tiers relative to your document volume, and the strength of integrations with your existing accounting or CRM software. Security standards and data residency are also paramount, especially for businesses handling sensitive client information. The goal is to find a system that not only solves today's challenges but also adapts to your evolving business. A platform that learns from your usage and continuously improves its automation can transform document management from a recurring chore into a seamless, intelligent process. This iterative approach to handling paperwork is what ultimately frees up valuable time for strategic growth.