Dividend Data vs Dokta

Native Spreadsheet Integration

Dividend Data operates through dedicated add-ins for both Google Workspace and Microsoft Excel, embedding itself directly into the spreadsheet's function library. This deep integration allows users to call data using simple formulas like =DIVIDENDDATA_QUOTE("MSFT", "price"), creating a live link between the data source and the spreadsheet cell. It requires no external API key management within the sheet, maintaining a clean and secure user workflow. The add-ins are officially listed and rated on the Google Workspace Marketplace and Microsoft AppSource, ensuring compatibility and trust.

Extensive Financial & Dividend Data Library

The platform provides access to a deep historical database covering over 100 key metrics essential for fundamental analysis. This includes forward and historical dividends, ex-dividend dates, dividend growth rates, full financial statements (income, balance sheet, cash flow), earnings per share, and a wide array of profitability, valuation, and liquidity ratios. With 30+ years of data for 80,000+ tickers, users can perform longitudinal analysis and build robust financial models without sourcing data from multiple, disparate providers.

Formula-Driven Automation Engine

At its core, Dividend Data replaces manual data collection with automated formula functions. Users automate their spreadsheets by writing formulas that reference specific tickers and data points. Once set up, these formulas can refresh to pull in the latest data, ensuring that investment dashboards, screening models, and portfolio trackers remain current without any manual intervention. This feature is pivotal for eliminating the "copy-paste" workflow, reducing errors, and saving significant analytical time.

Multi-Platform Product Ecosystem

Beyond the spreadsheet add-ins, Dividend Data offers a complementary web application, the Dividend Data Terminal. This flagship product provides great data visualizations, AI-powered research tools, and automated portfolio tracking, creating a cohesive ecosystem. The spreadsheet add-ins serve as the data pipeline for quantitative modeling, while the Terminal offers enhanced analytical interfaces, demonstrating the platform's commitment to serving different facets of an investor's workflow across multiple compatible platforms.

AI-Powered Document Analysis Engine

Dokta's foundational feature is its advanced AI processing pipeline. Utilizing Claude (Anthropic) for intelligence and robust OCR, the system can ingest photos, scans, or PDFs and return a fully analyzed document in under 60 seconds. It automatically classifies the document type (invoice, quote, contract), extracts critical data fields like amounts, due dates, client details, and tax information, and structures this data for immediate use within the platform, requiring zero manual input for data extraction.

Automated Invoice & Quote Lifecycle Management

This feature provides a complete, integrated workflow for sales documentation. Users can generate professional invoices and quotes within the platform. For freelancers, it supports Time & Materials (TJM) contracts with automatic monthly invoicing. A key integration is the online quote acceptance system; sent quotes include a direct link for client approval, enabling one-click conversion of an accepted quote into a formal invoice, streamlining the deal-to-cash cycle.

Real-Time Cash Flow & Anomaly Dashboard

Dokta aggregates financial data from all processed documents to deliver a comprehensive, real-time overview of business health. The dashboard visualizes key metrics like invoiced vs. collected revenue, overdue payments, and VAT liabilities over a 12-month period. Furthermore, its integrated anomaly detection system monitors for risks such as changed IBANs, duplicate invoices, inconsistent VAT, and missing numbering, providing proactive financial governance.

Intelligent Client & Supplier Database

The platform automatically constructs and enriches a relational database of business contacts from every document processed. It uses SIRET numbers (French business registry) to auto-complete company information. For each client or supplier, Dokta maintains a complete history of interactions and implements a payment scoring system, offering valuable insights into payment behaviors and centralizing all entity-related data without manual CRM entry.

Automated Dividend Portfolio Tracking

Investors can build a live dividend portfolio tracker within Excel or Google Sheets. By using formulas to pull current prices, dividend yields, and annual payout data for each holding, they can create a dashboard that automatically calculates total portfolio value, projected annual income, and portfolio-level yield. This automates the monitoring process and provides real-time insight into income generation without manual updating.

Dynamic Stock Screening and Analysis

Fundamental investors can construct custom stock screens using the live data functions. For example, a user can build a sheet that screens for stocks with a dividend yield above 3%, a P/E ratio below 20, and a 5-year positive dividend growth rate. By refreshing the sheet, the screen updates with current data, allowing for the rapid identification of new investment opportunities that meet specific, quantitative criteria.

Historical Financial Model Building

Equity researchers and advanced investors can utilize the 30+ years of historical data to build detailed discounted cash flow (DCF) models or conduct trend analyses. They can pull historical revenue, EPS, and free cash flow directly into their model templates to analyze company performance across business cycles, create financial forecasts, and derive intrinsic value estimates based on deep historical datasets.

Educational and Research Modeling

Students, educators, and individual investors learning security analysis can use the tool to pull real-world data into their study models. Instead of working with static, outdated examples, they can build live models that calculate ratios, chart dividend history, or analyze financial statements for any public company, enhancing the practical learning experience with current market data.

Freelance IT Developer / Consultant

For freelancers working on TJM or retainer contracts, Dokta automates the entire billing cycle. The platform can be configured to automatically generate monthly invoices based on contract terms, track their payment status, and send polite, professional payment reminders. This allows the developer to focus purely on coding while ensuring cash flow is managed systematically and reliably, directly from their document hub.

Creative Project Freelancer (Designer, Photographer)

Dokta streamlines the project-based workflow from proposal to payment. The freelancer creates a quote in Dokta and sends it via a client-facing acceptance link. Upon client approval, the quote is converted to an invoice with a single click. The platform then tracks this invoice, manages deadlines, and automates follow-ups, ensuring the creative professional can manage all client-facing financial documents within one integrated system.

Auto-Entrepreneur / Micro-Enterprise

This user benefits from Dokta's simplicity and compliance-focused features. The platform ensures invoices are correctly formatted, tracks all receipts and payments in one place, and provides clear visibility into turnover relative to tax thresholds. Automated alerts for URSSAF (French social charge) deadlines help prevent missed payments, making administrative compliance straightforward and integrated into daily document activity.

Growing Small Business (SMB)

For small teams, Dokta acts as a unified document and financial command center. It handles incoming supplier invoices, outgoing client invoices, and contracts. The real-time cash flow dashboard gives leadership an instant snapshot of financial health, while automated payment reminders improve collection rates. The ability to export clean CSV data for their accountant simplifies period-end reconciliation, integrating document management with broader financial oversight.

Dividend Data is a comprehensive financial data integration platform engineered to deliver institutional-grade stock market intelligence directly into the user's native spreadsheet environment. The core product is a suite of add-ins for Google Sheets and Microsoft Excel that eliminates the traditional friction of financial data acquisition. It provides seamless, formula-driven access to over 30 years of historical and real-time data for more than 80,000 global tickers. Designed specifically for dividend and fundamental investors, the system bypasses the need for complex API setups, manual coding, or error-prone copy-paste routines. Users simply employ custom spreadsheet functions, such as =DIVIDENDDATA_DIVIDENDS() or =DIVIDENDDATA_RATIOS(), to pull live data on dividends, yields, payout ratios, financial statements, valuation metrics, and price history directly into their models. Its architecture is built for compatibility and efficiency, offering a generous free tier with 2,500 monthly credits and sub-second average response times. This tech-stack oriented solution empowers investors to build dynamic, automated analysis and portfolio tracking systems within the tools they already use, democratizing access to deep financial data without the prohibitive cost or technical overhead typically associated with professional data feeds.

Dokta is an AI-native document management platform engineered to automate the administrative backbone for freelancers, solo entrepreneurs, auto-entrepreneurs, and SMBs. It functions as a central nervous system for business documents, leveraging a sophisticated tech stack to eliminate manual data entry and process fragmentation. At its core, Dokta's AI engine, powered by Claude (Anthropic), performs OCR and intelligent classification to read, categorize, and extract key data from any uploaded invoice, quote, or contract in under 60 seconds. The platform then manages the entire document lifecycle: from creating professional invoices and quotes, tracking payments, and automating reminders, to managing contracts, deadlines, and generating actionable tasks. It integrates these workflows by automatically building a searchable client and supplier database from document interactions and provides real-time cash flow dashboards. With a focus on European compliance, data is 100% GDPR-compliant and hosted on AWS in Paris, featuring AES-256 encryption. Dokta's value proposition is clear: replace hours of weekly manual admin with a seamless, integrated system that turns documents into actionable business intelligence.

How does Dividend Data connect to my spreadsheet?

Dividend Data connects via official add-ins you install from the Google Workspace Marketplace (for Google Sheets) or Microsoft AppSource (for Excel). Once installed, it adds a custom set of functions to your spreadsheet's formula library. You simply type these formulas, like =DIVIDENDDATA_DIVIDENDS("TICKER"), and the add-in handles the data request and population securely in the background, with no coding required.

What is included in the free tier?

The free tier provides 2,500 credits per month that never expire, allowing you to use the spreadsheet functions extensively without a trial period cutoff. This is sufficient for many individual investors to track a portfolio and perform regular analysis. The tier includes access to the core 16+ custom functions for dividends, quotes, ratios, and metrics within the spreadsheet add-ins.

Does it work with both Google Sheets and Microsoft Excel?

Yes, Dividend Data is fully compatible with both major spreadsheet platforms. There is a dedicated Google Sheets add-on and a separate Microsoft Excel add-in. Both offer the same core functionality and formula syntax, allowing you to maintain consistent analysis workflows whether you use Google Workspace or Microsoft 365. The add-ins are independently listed and rated on their respective official stores.

What kind of data history is available?

The platform provides over 30 years of historical market data. This includes historical dividend payments, stock price history, and fundamental financial statement data (annual and quarterly). This deep historical dataset enables long-term trend analysis, backtesting of investment strategies, and the construction of financial models based on extensive historical performance.

How does Dokta ensure the security and privacy of my documents?

Dokta is built with a security-first architecture. All data is hosted on Amazon Web Services (AWS) in their Paris region, ensuring it remains within the European Union. The platform is fully compliant with GDPR regulations. Documents and data are protected using AES-256 encryption, both in transit and at rest. This technical stack provides enterprise-grade security tailored to the compliance needs of European freelancers and businesses.

What AI model does Dokta use, and how accurate is the data extraction?

Dokta utilizes Claude, Anthropic's advanced AI model, as the intelligence layer for document understanding and data extraction. Combined with high-performance OCR, this stack enables highly accurate classification and parsing of complex document layouts. The system is specifically trained on financial and administrative documents, achieving rapid analysis in under 60 seconds with minimal error, though users always have a final validation step to confirm extracted data.

Can Dokta integrate with my existing accounting software or other tools?

While Dokta is designed as a comprehensive, standalone platform, it offers robust export functionality to ensure compatibility with your existing workflow. You can export all financial data, including invoices, client lists, and transaction records, as a clean CSV file. This format is universally accepted by all major accounting software packages (like Sage, QuickBooks, etc.), allowing for seamless data transfer during bookkeeping or tax preparation periods.

What happens if I exceed my monthly document limit on my plan?

Each Dokta plan includes a set number of documents that can be processed per month. If you exceed this limit, the platform will notify you. You will then have the option to upgrade to a higher-tier plan that offers a larger document volume. This scalable model ensures you only pay for the capacity you need, allowing the platform to grow in tandem with your business's document processing requirements.

Dividend Data is a specialized financial data add-on that delivers institutional-grade dividend and fundamental stock metrics directly into spreadsheet cells. It falls into the category of direct spreadsheet integration tools, designed to bypass complex APIs and manual data entry for investors. Users often explore alternatives for several key reasons. These include budget constraints, where subscription costs may not align with individual needs, or specific feature gaps, such as a requirement for different financial metrics, deeper historical data, or compatibility with other analysis platforms like Python or dedicated portfolio software. The need for a different pricing model, like one-time purchase versus subscription, is also a common driver. When evaluating other solutions, focus on core technical compatibility: does it integrate natively with your primary spreadsheet environment (Google Sheets, Excel, or both)? Assess the depth and breadth of the historical financial data offered, the simplicity of the formula or query syntax, and the transparency of the pricing structure. The ideal tool should fit seamlessly into your existing tech stack and workflow without creating new complexities.

Dokta is an AI-powered document management platform designed for freelancers, solo entrepreneurs, and SMBs. It automates the lifecycle of business documents like invoices, quotes, and contracts, extracting data, tracking payments, and managing deadlines to reduce administrative overhead. Users often seek alternatives to Dokta for various reasons, including specific budget constraints, the need for different feature sets, or integration requirements with their existing tech stack. Some may require deeper compatibility with certain accounting software, a different pricing model, or a platform hosted outside of the European AWS infrastructure. When evaluating alternatives, key considerations should include the platform's API availability and webhook support for custom automations, its data extraction accuracy and supported file formats, and compliance with regional data sovereignty laws like GDPR. The ideal solution should seamlessly fit into your current workflow without creating new silos of information.