DynamicDocumentAPI VS LumiGap

DynamicDocumentAPI's answer

It covers the whole path from data to finished document in one API: you design a template in a visual or HTML editor (or send raw HTML, CSS or Markdown), send JSON, and get a PDF or image back. The same service also creates e-invoices (XRechnung, EN 16931, Factur-X / ZUGFeRD) that are validated against the official rules before they are returned, and can embed them in the PDF. Rendering is deterministic: the same template and data always give the same document, laid out by a headless browser, with no AI model generating content. Everything runs in the EU (Germany). It also ships an MCP server, so AI agents like Claude and ChatGPT can render documents directly.

LumiGap's answer:

LumiGap is not just a poker tracker or a note-taking app. It is an AI vision workspace for poker table recognition: capture the table from your screen, recognize cards, stacks, bets, names, board and pot, correct the results, build datasets, train custom models, and export structured table state for research workflows.

DynamicDocumentAPI's answer

Most document APIs do one thing: convert HTML to PDF, or fill templates. Dynamic Document API does both, adds image templates, PDF merging and validated e-invoices, and offers them through a REST API, SDKs for Node and Python, Zapier, Make, n8n and an MCP server for AI agents. Data is processed and stored in the EU only, files come back as signed links that expire, and storing nothing at all is a supported option. Pricing is predictable: one published credit table, the same core features on every paid plan and a spend cap you control. We also publish a render-time benchmark with its method and raw data, so you can check our speed instead of trusting a claim. The free plan includes 50 renders a month without a credit card.

LumiGap's answer:

Most poker tools focus on hand histories, solvers, or finished analytics. LumiGap focuses on the recognition pipeline itself: screen capture, OCR, Core ML, table-region mapping, annotation, custom datasets, model testing, and export. It is for users who want to build and improve their own AI-powered poker research workflow.

DynamicDocumentAPI's answer

Developers and product teams whose software has to send documents: invoices after a payment, certificates after a course, reports, labels and statements. Typical users are SaaS companies, marketplaces, e-commerce and learning platforms. A second group are businesses in Germany and the EU that need compliant e-invoices (XRechnung, ZUGFeRD) for the German B2B e-invoicing mandate and public-sector buyers. No-code builders use it through Zapier, Make and n8n, and teams building AI agents use the MCP server.

LumiGap's answer:

LumiGap is for advanced poker players, coaches, poker researchers, ML builders, data-driven analysts, and macOS users who want to recognize poker table state visually, create custom datasets, and train models for their own layouts and research needs.

DynamicDocumentAPI's answer

Almost every product eventually needs to produce documents, and most teams end up building their own rendering stack: a headless browser, fonts, page breaks, storage and retries. It works until an invoice splits a table row or a certificate shows the wrong date, and then it becomes a support ticket. We built Dynamic Document API to be that layer for them: templates, rendering and delivery as one service, hosted in Europe, treating pagination, fonts and formatting as engineering problems rather than edge cases. When e-invoicing became mandatory for B2B in Germany, we added validated XRechnung and ZUGFeRD output, and with AI agents producing more paperwork, an MCP server followed.

LumiGap's answer:

LumiGap started from a simple gap: serious poker work often depends on screenshots, manual notes, hand histories, and tools that cannot easily be adapted to your own table layouts or model experiments. LumiGap was built to turn visible table states into structured data, datasets, and custom AI recognition workflows.

DynamicDocumentAPI's answer

Rendering runs in Rust workers that drive headless Chromium over the DevTools protocol, with MiniJinja for templates. The API and control plane are built with Django and Django REST Framework, with Celery, PostgreSQL, Valkey and NATS JetStream for queues and events, and S3-compatible object storage for files. PDF/A output is checked with veraPDF and e-invoices with the official KoSIT validator. The dashboard and website are built with Next.js. Everything runs on Kubernetes in data centres in Germany.

LumiGap's answer:

Native macOS stack: Swift, SwiftUI, ScreenCaptureKit, Vision OCR, Core ML, local data storage, annotation tools, dataset converters, external detector support, and live export APIs.

DynamicDocumentAPI's answer

Dynamic Document API is a young product. Our users are mostly developers and small SaaS teams, and we don't name customers without their permission.

LumiGap's answer:

• Advanced poker players
• Poker coaches
• Poker researchers
• ML dataset builders
• Computer vision experimenters
• Strategy analysts
• macOS users building custom recognition workflows