PDFMonkey is a strong HTML-template product
PDFMonkey is not a weak competitor. It is a polished hosted product for teams that want to create PDFs from templates, dynamic data, and automation tools. The current documentation describes two template paths: a visual Builder and Code Templates written in HTML, CSS, and Liquid. It also exposes a REST API, webhooks, no-code integrations, document retention, signed download URLs, and password-protected PDFs.
That makes PDFMonkey a good fit for teams that think in HTML templates or no-code workflows. The sharper question is whether your production PDFs should be HTML documents rendered by Chromium, or structured business documents rendered from a PDF-native JSON contract.
Answer in 30 seconds
- Existing HTML/CSS source, Liquid templates, or no-code automations? Pick PDFMonkey.
- Need a dashboard record and signed download URL for every generated document? Pick PDFMonkey.
- Need structured invoices, shipping labels, receipts, statements, tickets, or e-invoices at high volume? Pick gPdf.
- Need direct PDF bytes from one API call with no document persistence by default? Pick gPdf.
- Need PDF/A, Factur-X/ZUGFeRD, vector barcode primitives, or document-permission controls? Pick gPdf.
- Need EU Paris hosting as the default hosted boundary? Pick PDFMonkey, unless gPdf private deployment is in scope.
The real product boundary: document app vs PDF infrastructure
PDFMonkey behaves like a document-generation app with an API. You create templates, create document records, let the service render them, then fetch a signed URL when generation succeeds. That is useful when the document lifecycle matters: dashboard review, retention, manual deletion, share links, and automation-platform handoff.
gPdf behaves like PDF infrastructure. JSON Render and Template Render return PDF bytes directly on success. The default security model is stateless for document content: the request JSON is held in memory for the render, the output PDF is streamed back, and neither request body nor PDF bytes are stored by default.
Both models are legitimate. They solve different operational problems.
HTML/CSS is PDFMonkey’s natural advantage
PDFMonkey’s Code Templates use HTML, CSS, and Liquid. That is exactly what many teams already know. If your invoice template is a web view, your email template is already HTML, or your operations team wants to reuse Tailwind classes and web fonts, PDFMonkey is a natural fit.
Its visual Builder is also useful for non-technical users. The official docs describe it as visual drag-and-drop, with a lower learning curve than Code Templates, and both Builder and Code Templates render through Chromium. For straightforward business documents with headers, text, images, tables, and repeated sections, that is a practical authoring experience.
HTML rendering is also genuinely better when the PDF is close to a web page: marketing documents with rich CSS, reports that reuse existing front-end components, documents with JavaScript-generated charts, CSS-framework-heavy templates, or multi-page HTML layouts where the browser model is already the source of truth. gPdf does not try to replace that workflow.
The trade-off is that Builder templates and Code Templates are separate template types. PDFMonkey’s docs say they cannot be converted between each other. gPdf takes a different route: the visual editor and the API share the same JSON substrate. The template is not HTML in one place and another template representation elsewhere; it is the same structured document contract viewed visually or sent through the API.
Structured documents are where gPdf pulls ahead
Invoices, labels, receipts, statements, tickets, certificates, and e-invoice PDFs are usually not arbitrary web pages. They are structured data, exact positions, page sizes, totals, barcodes, metadata, and compliance rules.
For that workload, gPdf’s JSON-native model is more direct. Instead of assembling a full HTML page for every document, the caller can send template_id + data to /api/v1/template-render or a complete DocumentRequest to /api/v1/pdf/render. The PDF layer handles page geometry, text, tables, images, barcodes, metadata, security policy, and output.
That distinction matters even more in AI-assisted workflows. An AI agent can produce and repair structured JSON against a schema more reliably than it can infer whether a browser-rendered HTML page will paginate, print, or barcode-scan correctly.
Cost, honestly
PDFMonkey’s public pricing was checked on 2026-06-04. The public plans range from Free to Premium. The Free plan includes 20 documents per month. Starter is EUR 5/month for 300 documents. Pro is EUR 15/month for 3,000 documents. Pro+ is EUR 60/month for 5,000 documents. Premium is EUR 300/month for 60,000 documents. Pay-as-you-go overage is available on Pro+ and Premium, with Premium overage listed at EUR 0.005 per extra document.
At 100,000 one-page documents per month, that is roughly EUR 500 on Premium list pricing before VAT: EUR 300 for 60,000 documents plus 40,000 extra documents at EUR 0.005 each.
gPdf Basic is $5/month for 100,000 pages. That is the core difference: PDFMonkey prices a document-generation application; gPdf prices PDF generation like infrastructure.
For multi-page documents, recalculate the comparison. If your average PDF has N pages, gPdf usage is roughly documents × N pages, while PDFMonkey’s public model counts documents. One-page invoices, labels, tickets, and receipts make the gPdf price comparison strongest; long reports or statements need per-workload math.
For low volume, both can be cheap enough that architecture matters more than price. For high-volume labels, receipts, invoices, and statements, the pricing model becomes the architecture decision.
Data privacy and retention are not the same thing
PDFMonkey’s docs are clear that it stores the payload and meta fields until the document is deleted, stores generated files in private S3, and uses short-lived presigned download URLs. Its security documentation says data is encrypted in transit, dynamic data is stored in encrypted database columns, generated files are in private S3 buckets, and infrastructure is hosted on AWS in the EU Paris region.
That is a credible hosted document-lifecycle model. It is also not the same as a stateless render path.
gPdf’s default render path does not persist document content. If your system only needs the generated bytes and already owns storage, audit logs, and delivery, that is a cleaner boundary. If your team wants the PDF generation product to keep generated documents, expose download links, and let users review or delete them later, PDFMonkey’s model may be the better product fit.
Failure mode and latency
Both products are hosted APIs, so both introduce a vendor dependency. The difference is the execution shape.
PDFMonkey’s API creates a document and returns a document object. Production code normally checks status by polling or uses a webhook to know when the document is ready. That design fits asynchronous workflows and dashboard-centric operations.
gPdf’s JSON Render and Template Render return application/pdf directly on success. That is better for synchronous “user clicked download invoice” flows, shipping-label generation inside a warehouse process, and backends that want a simple request-response contract.
Passwords, permissions, and compliance
PDFMonkey has a strong simple password story: pass _password in document metadata and it encrypts the generated PDF with AES-256. The docs say this works with all templates, integrations, and plans.
gPdf’s security model is more policy-oriented. Pro supports AES-128 open-password output. Enterprise policy supports AES-256, owner passwords, and document permission bits such as print, modify, copy, annotate, fill forms, assemble, and high-quality print. That gives procurement and compliance teams more granular controls, but it is also intentionally tiered and mutually exclusive with PDF/A and e-invoice modes.
For archival and e-invoice workflows, gPdf has the clearer productized path: PDF/A profiles and a dedicated Factur-X/ZUGFeRD PDF/A-3 route. No comparable public PDF/A or Factur-X/ZUGFeRD render route was found in PDFMonkey’s current public docs during this review.
Migration shape
Moving from PDFMonkey to gPdf is not a line-by-line Liquid-to-JSON conversion. The better migration is to identify which parts are stable layout and which parts are variable business data.
- // Before: create a PDFMonkey document and poll or wait for a webhook
- const response = await fetch("https://api.pdfmonkey.io/api/v1/documents", {
- method: "POST",
- headers: {
- Authorization: "Bearer PDFMONKEY_SECRET_KEY",
- "Content-Type": "application/json"
- },
- body: JSON.stringify({
- document: {
- document_template_id: "YOUR-TEMPLATE-ID",
- status: "pending",
- payload: {
- invoice_number: "INV-2026-001",
- total: "$240.00"
- }
- }
- })
- });
- const document = await response.json();
- // Later: poll document_cards or receive a webhook, then download the signed URL.
+ // After: render through a shared gPdf template and receive PDF bytes
+ const response = await fetch("https://api.gpdf.com/api/v1/template-render", {
+ method: "POST",
+ headers: {
+ Authorization: `Bearer ${process.env.GPDF_TOKEN}`,
+ "Content-Type": "application/json"
+ },
+ body: JSON.stringify({
+ template_id: "invoice-v2",
+ data: [{
+ invoice_number: "INV-2026-001",
+ total: "$240.00"
+ }]
+ })
+ });
+ const pdfBytes = await response.arrayBuffer();The important change is not syntax. It is the product contract: from a stored document lifecycle to a direct PDF infrastructure call.
Final choice
Choose PDFMonkey if your team already owns HTML/CSS templates and wants to keep them. Choose it when no-code automation is the buyer’s main workflow. Choose it when document retention, dashboard review, signed download URLs, or EU Paris hosting are first-class requirements. Also choose it when the business wants a friendly document-generation app with an API, rather than a low-level infrastructure layer.
Choose gPdf when the PDF is generated from structured backend data and the caller wants predictable output without a browser rendering model. Shipping labels, invoices, receipts, warehouse documents, statements, tickets, certificates, and e-invoice PDFs are the center of the product.
Sourcing note
PDFMonkey pricing and docs were checked on 2026-06-04 against the official pricing page, Builder vs Code Templates, API PDF generation, security measures, data storage and retention, and password protection docs. Competitor pricing and feature pages can change, so procurement teams should re-check PDFMonkey’s official pages before making a buying decision.
Related PDF generation scenarios
Useful next reads depend on the document family. For structured data-to-PDF work, start with JSON to PDF API and Template PDF API. For concrete workloads, compare invoice PDF generation, shipping labels, and batch PDF generation. For compliance-heavy documents, read the PDF/A API, Factur-X API, and ZUGFeRD API pages.
FAQ
Is gPdf a PDFMonkey alternative?
Yes, when the goal is structured PDF generation through an API. PDFMonkey is still a strong choice when HTML/CSS templates, Builder templates, no-code integrations, document retention, and signed download URLs are the desired workflow.
Is PDFMonkey better for HTML templates?
Yes. If your source of truth is HTML/CSS, PDFMonkey’s Code Templates are the more natural fit. gPdf is intentionally JSON-native and does not try to be an arbitrary HTML-to-PDF converter.
Which is cheaper for 100,000 PDFs per month?
For 100,000 one-page PDFs, using public list prices checked on 2026-06-04, gPdf Basic is $5/month for 100,000 pages. PDFMonkey Premium is EUR 300/month for 60,000 documents, with extra Premium documents listed at EUR 0.005 each when pay-as-you-go is enabled. If your documents average more than one page, recalculate gPdf by page count and PDFMonkey by document count.
Does PDFMonkey store document data?
Yes. PDFMonkey’s docs say it stores the payload and meta fields until the document is deleted, and stores generated files in private S3 until deletion or TTL expiration. This supports dashboard and download-link workflows. gPdf’s default render path does not persist request bodies or PDF bytes.
Does gPdf support no-code integrations like PDFMonkey?
Not as the same product surface. PDFMonkey has no-code integrations such as Zapier, Make, n8n, Bubble, and Workato. gPdf is primarily an API and Studio workflow for teams that want PDF generation as infrastructure.
Which product should I use for e-invoices?
Use gPdf when you need supported Factur-X or ZUGFeRD PDF/A-3 packaging from an API. Use PDFMonkey when your e-invoice need is only a visual invoice PDF generated from HTML and you handle statutory XML, archival, and clearance elsewhere.