PDF.co vs PDFMonkey: Features, Pricing, and Use Cases

PDF.co vs PDFMonkey: Which PDF API Is Right for Your Workflow?

PDF.co and PDFMonkey both help developers and automation teams generate PDF documents, but they are designed for different types of work.

PDFMonkey primarily focuses on generating polished documents from reusable HTML, CSS, Liquid, or visual templates. It is a strong option for invoices, certificates, reports, shipping labels, and other documents created from structured application data.

PDF.co is a broader document-processing platform. In addition to generating PDFs from HTML, URLs, images, documents, and email, it can extract data with OCR, parse invoices, convert existing PDFs, edit files, merge or split documents, process forms, read barcodes, and perform other document operations.

The short answer:

  • Choose PDFMonkey if your main requirement is creating attractive documents from managed templates.
  • Choose PDF.co if your workflow also needs to receive, convert, extract, edit, or otherwise process existing documents.
  • Some teams can use both: PDFMonkey for template-based document generation and PDF.co for processing documents before or after generation.

What Is PDFMonkey?

PDFMonkey is a document-generation API built around reusable templates and structured data.

A team creates a template, sends JSON data through the API or an integration, and receives a generated PDF or image. Common use cases include:

  • Customer invoices
  • Order confirmations
  • Certificates
  • Business reports
  • Shipping labels
  • Account statements
  • Proposals
  • Personalized documents

PDFMonkey offers two approaches to template creation:

  • A visual Builder with drag-and-drop content blocks
  • Code Templates built with HTML, CSS, JavaScript, and Liquid

The visual Builder is useful for teams that want non-developers to participate in document design. Code Templates provide developers with greater control over styling, conditional content, loops, page layout, and custom scripts.

Both template types use a Chromium-based rendering engine. However, a Builder template cannot currently be converted directly into a Code Template, or vice versa. Teams should choose the template type carefully before building a large template library. See PDFMonkey’s Builder and Code Template comparison.

What Is PDF.co?

PDF.co is an API platform for generating, converting, extracting, editing, and automating PDF documents.

Its capabilities include:

  • HTML-to-PDF
  • URL-to-PDF
  • Email-to-PDF
  • Document-to-PDF
  • Image-to-PDF
  • PDF-to-image
  • PDF-to-CSV, JSON, XML, Excel, text, and HTML
  • OCR for scanned documents
  • Invoice and document parsing
  • PDF merging and splitting
  • Text addition, deletion, search, and replacement
  • Form filling and form-field processing
  • Barcode and QR code generation and reading
  • Password protection and removal
  • PDF compression
  • Document classification

PDF.co can be accessed through REST APIs or automation platforms such as Zapier, Make, and n8n. Its wider endpoint catalog is intended for workflows in which PDF generation is only one stage of a larger document process.

The available endpoints and current examples are listed in the PDF.co API documentation.

The Main Difference: Document Generation vs Document Processing

The biggest difference is the scope of each platform.

PDFMonkey starts with application data and a managed template. Its primary job is to turn those inputs into a polished document.

A typical PDFMonkey workflow looks like this:

  • An application produces customer or transaction data.
  • The data is sent to a PDFMonkey template.
  • PDFMonkey renders the template.
  • The application downloads or distributes the finished PDF.

PDF.co can support that type of generation workflow, but it can also handle documents that already exist.

For example, a PDF.co workflow might:

  • Receive an invoice as an email attachment.
  • Extract the attachment.
  • Use OCR or an invoice parser to identify fields.
  • Convert the extracted data to JSON or CSV.
  • Send that data to an ERP.
  • Add a stamp or internal reference number to the original PDF.
  • Merge the invoice with supporting documents.
  • Archive the finished file.

If the workflow begins with a template and ends with a generated document, PDFMonkey may provide the more focused experience. If documents must be processed both before and after generation, PDF.co will usually cover more of the workflow.

Template Design and Management

PDFMonkey

Template management is central to PDFMonkey.

Its visual Builder allows users to arrange content without writing an entire HTML document. It supports features such as:

  • Text and image blocks
  • Tables
  • Conditions and loops
  • Dynamic styling
  • QR codes
  • Custom CSS and JavaScript

Code Templates use HTML, CSS, JavaScript, and Liquid. These are better suited to developers who need pixel-level control, complex conditional content, reusable data structures, or custom rendering behavior.

One important limitation is that PDFMonkey does not import an existing PDF, Word document, or other file as an editable template. A template must be recreated in the Builder or implemented with HTML and CSS.

This matters when a company already has hundreds of approved PDF or Word forms. The initial migration effort should be included in the evaluation.

PDF.co

PDF.co is more endpoint-oriented than template-management-oriented. Developers can submit HTML directly or provide a webpage URL to generate a PDF.

This approach can be useful when:

  • The HTML is already generated by an application.
  • A PDF needs to be created from a live webpage.
  • Each request may have substantially different content.
  • The team does not want to maintain templates in a separate document editor.
  • PDF creation is part of a multi-step conversion or extraction workflow.

Teams seeking a visual, hosted document-template editor may prefer PDFMonkey’s Builder. Teams seeking direct API processing across many input and output formats may prefer PDF.co.

HTML-to-PDF Generation

Both products can generate PDFs from HTML, but the workflows differ.

HTML-to-PDF with PDFMonkey

PDFMonkey Code Templates can render HTML and CSS with dynamic Liquid data.

It can also process arbitrary HTML by creating a pass-through Code Template containing an HTML variable and sending the full HTML document in the request payload. This method is documented in PDFMonkey’s HTML-to-PDF guide.

Because this still uses a PDFMonkey template, the template’s page size, margins, rendering engine, and other settings remain relevant. The pass-through approach is not available through Builder templates.

PDFMonkey is particularly useful when the same document design is reused repeatedly with different data.

HTML-to-PDF with PDF.co

PDF.co provides dedicated HTML-to-PDF and URL-to-PDF capabilities.

A workflow can submit:

  • An HTML string
  • HTML stored at an accessible URL
  • A public webpage URL
  • Dynamic page settings and conversion options

This can be more direct for applications that already generate complete HTML or need to capture existing webpages.

The URL-to-PDF distinction is important. Passing HTML into a PDFMonkey template is not the same as asking an API to navigate to and capture an arbitrary webpage. For webpage capture, PDF.co offers the more purpose-specific workflow.

Dynamic Content and Business Logic

PDFMonkey Code Templates use Liquid for dynamic content. Developers can add:

  • Loops
  • Conditional sections
  • Data formatting
  • Repeated invoice lines
  • Optional content
  • Dynamic classes and styling

The Builder has its own logic tools and does not use Liquid. This difference should be considered when deciding which type of template to adopt.

PDF.co typically expects the calling application or automation to construct the HTML and data used for document generation. That gives the application control over business logic but may require more preparation outside the PDF API.

The practical choice is:

  • PDFMonkey is convenient when presentation logic should live in a hosted document template.
  • PDF.co is convenient when the application already controls the HTML or when generation is part of a broader API pipeline.

Rendering Engines and Output Consistency

PDFMonkey documents its Chromium-based rendering engines and lets templates remain on the engine version with which they were created. Its current v5 engine is based on Chrome 133, according to the PDFMonkey engine documentation.

Keeping a template on a specific engine can reduce unexpected rendering changes. Teams can test an upgrade before moving an existing template to a newer engine.

This is valuable for regulated or customer-facing documents where layout changes must be reviewed.

Regardless of platform, teams should test:

  • Page breaks
  • Font loading
  • Long tables
  • Headers and footers
  • Images
  • Right-to-left text
  • Special characters
  • Very large datasets
  • Browser-specific CSS
  • Output produced after an engine change

API Workflow, Asynchronous Processing, and Webhooks

PDFMonkey document generation is asynchronous by default.

A request creates a document with a status such as pending or generating. The application can then poll for completion or use a webhook. PDFMonkey also provides a synchronous endpoint with a documented timeout of up to six minutes.

After generation, the API returns a signed download URL. The signed URL is temporary, so applications should download the document and move it into their own storage when long-term access is required.

PDFMonkey documents its status model, synchronous generation, download behavior, and request structure in its Documents API documentation.

PDF.co also supports asynchronous processing and callbacks for longer-running jobs. This is useful for large PDFs, OCR, conversion, and multi-document operations.

For either product, production workflows should:

  • Use webhooks or callbacks instead of excessive polling.
  • Verify webhook authenticity where supported.
  • Account for failed and timed-out jobs.
  • Store the provider’s job or document ID.
  • Download output before temporary links expire.
  • Avoid assuming that a successful API request means generation has finished.
  • Record enough information to retry a job safely.

PDF and Image Output

PDFMonkey can generate output as:

  • PDF
  • PNG
  • JPG
  • WebP

Its image output renders the template as an image rather than a PDF. This is useful for social graphics, certificates, previews, labels, or other content designed in a PDFMonkey template.

However, generating a PNG or JPG from a template is different from converting the pages of an existing PDF into images.

PDF.co supports PDF-to-image conversion for uploaded or existing PDF files. That makes it more suitable for workflows such as:

  • Turning every page of a PDF into JPG or PNG
  • Creating document thumbnails
  • Sending PDF pages into a computer-vision system
  • Previewing uploaded documents in a web application
  • Converting scanned PDFs into page images
  • Preparing pages for downstream OCR or classification

Choose based on the direction of the workflow:

  • Template or JSON data to a new image: PDFMonkey
  • Existing PDF to one or more images: PDF.co

OCR and Document Data Extraction

PDFMonkey is not positioned as an OCR or inbound document-extraction platform. It uses supplied data to generate an output document.

PDF.co provides endpoints for extracting content from existing documents, including:

  • OCR for scanned PDFs and images
  • Text extraction
  • Table extraction
  • PDF-to-CSV
  • PDF-to-JSON
  • PDF-to-XML
  • PDF-to-Excel
  • Invoice parsing
  • Custom document parsing
  • Document classification

This makes PDF.co more suitable when the business problem is understanding documents received from customers, vendors, or employees.

Examples include:

  • Extracting invoice totals into an accounting system
  • Reading purchase orders
  • Processing scanned forms
  • Capturing tables from financial statements
  • Converting bank statements into structured data
  • Identifying a document type before routing it
  • Extracting attachments received by email

PDFMonkey may be used later in the same process to generate a confirmation, statement, or report from the extracted data.

Working with Existing PDF Files

PDFMonkey is designed to create new files from its templates. It is not a general-purpose API for editing arbitrary PDFs already stored in another system.

PDF.co can perform operations on existing files, including:

  • Merge multiple PDFs
  • Split a PDF by page or page range
  • Add text or images
  • Search and replace text
  • Delete text
  • Add watermarks or stamps
  • Reorder or select pages
  • Compress files
  • Add or remove password protection
  • Read document information
  • Convert PDF pages into other formats

This difference often decides the evaluation.

If users upload documents and expect the application to transform them, PDF.co is likely the closer match. If the application always generates a new document from structured data, PDFMonkey may be sufficient.

PDF Forms and Signatures

PDFMonkey Code Templates can generate interactive AcroForm fields by adding supported markers to the HTML template. Supported field types include text fields, text areas, checkboxes, dropdowns, radio buttons, number fields, date fields, and other inputs.

However:

  • It generates a new fillable form from a PDFMonkey template.
  • It does not import an existing PDF form as a PDFMonkey template.
  • Interactive signature fields are not currently supported.
  • It is not a complete electronic-signature ceremony platform.

The current form-generation capabilities are described in the PDFMonkey PDF forms documentation.

PDF.co can inspect and fill supported fields in existing PDF forms. It can also place visible text or images, including a supplied signature image, into a PDF.

Placing a signature image is not the same as providing identity verification, recipient authentication, consent records, reminders, or a legal signing audit trail. Workflows requiring those capabilities should pair the selected PDF API with a dedicated electronic-signature platform.

QR Codes and Barcodes

PDFMonkey templates can include generated QR codes. Code Templates can also use supported JavaScript libraries for visual elements such as charts, subject to template and external-resource settings.

PDF.co supports both barcode generation and barcode reading. Depending on the endpoint and selected symbology, it can be used to:

  • Add barcodes or QR codes to documents
  • Read codes from uploaded PDFs and images
  • Route documents based on barcode data
  • Extract tracking or inventory identifiers
  • Generate labels

If the requirement is simply to place a QR code into a generated template, PDFMonkey can meet it. If the workflow must also scan codes from incoming documents, PDF.co provides the broader functionality.

Integrations and No-Code Automation

PDFMonkey documents integrations with platforms and tools including:

  • Zapier
  • Make
  • n8n
  • Workato
  • Bubble
  • Glide
  • InvoiceBerry
  • Webhooks
  • A Ruby SDK

This makes it a practical option for generating documents from no-code applications and automation workflows.

For example, a Bubble application could collect customer data, send it to PDFMonkey, and make the completed document available to the user.

PDF.co can also be used with Zapier, Make, n8n, and custom HTTP modules. Its larger range of document-processing actions is useful when an automation must do more than generate a file.

An n8n workflow might use PDF.co to:

  • Download a PDF from a URL.
  • Convert its pages to images.
  • Run OCR.
  • extract structured fields.
  • Merge the original with another document.
  • Upload the result to cloud storage.

For a no-code workflow that only needs to merge application data into a designed template, PDFMonkey may feel simpler. For multi-stage document automation, PDF.co may reduce the number of separate services required.

Storage, Retention, and Download Links

PDFMonkey applies document-retention settings according to the selected plan and template configuration.

At the time of review:

  • Free and Starter allow short retention periods of up to one day.
  • Pro supports retention of up to one week.
  • Higher plans support longer or unlimited retention options.
  • Generated files can be deleted manually or through the API.
  • Signed document download URLs are temporary.
  • If a requested retention period exceeds the plan allowance, PDFMonkey may cap it.
  • Failed documents do not receive the normal time-to-live setting and are not automatically deleted.

That final point deserves attention when payloads may contain sensitive information. Production teams should review failed jobs and delete data according to their own retention policy.

PDFMonkey explains these rules in its retention and deletion documentation.

For either platform, it is safer to treat the provider’s output location as temporary processing storage. Download required files into an approved storage system and apply the organization’s own access, retention, backup, and deletion controls.

Security and Compliance Considerations

PDFMonkey states that it uses HTTPS, encrypts selected database content, and stores generated documents in private Amazon S3 storage accessed through signed URLs. Its infrastructure documentation identifies an AWS region in Paris.

PDFMonkey also provides a data processing agreement and describes its GDPR-related practices. However, its documentation states that it does not currently hold formal certifications such as SOC 2 or ISO 27001. See its security measures and compliance and DPA documentation.

Security requirements differ substantially between organizations. Before selecting either service, review:

  • Processing and storage locations
  • Subprocessors
  • Data-processing agreements
  • Encryption in transit and at rest
  • Authentication and API-key controls
  • Temporary download-link behavior
  • Document and failed-job retention
  • Deletion procedures
  • Logging practices
  • Compliance certifications required by your organization
  • Whether sensitive data is included in document payloads or URLs

Do not select a platform solely because a generated download link expires. Link expiration and deletion of the underlying file are separate controls.

External Images, Fonts, and Other Resources

PDFMonkey’s Free plan does not load remote images, fonts, stylesheets, or scripts. Paid plans support external resources, while inline assets such as data URIs and inline CSS can be used in more restricted environments.

This can affect templates that depend on:

  • Company logos hosted on a public website
  • Google Fonts or another hosted font service
  • Remote product images
  • JavaScript libraries
  • External stylesheets
  • Charting libraries

When external assets are allowed, teams should pin dependency versions and use trusted, stable URLs. Sensitive tokens and personal information should not be placed in asset query strings.

For reliable generation, consider embedding critical assets or serving them from controlled infrastructure.

Pricing

The two products use different billing models, so direct price comparisons require a realistic workload.

PDFMonkey pricing

PDFMonkey primarily charges by the number of documents generated each month.

At the time of review, its published monthly plans include:

  • Free: €0 for up to 20 documents per month
  • Starter: €5 per month for up to 300 documents
  • Pro: €15 per month for up to 3,000 documents
  • Pro+: €60 per month for up to 5,000 documents
  • Premium: €300 per month for up to 60,000 documents

Annual billing receives a published discount. Higher plans add longer retention, more collaborators, permanent share links, longer generation timeouts, and pay-as-you-go overages on eligible plans.

A 30-day Pro trial is also advertised. Prices exclude applicable taxes and may change, so confirm current allowances on the official PDFMonkey pricing page.

PDFMonkey generally counts a generated document as the primary billing unit. A long document may therefore have a different cost profile from an API that charges based on pages or operation complexity.

PDF.co pricing

PDF.co uses credits. The number of credits consumed depends on the endpoint, operation, and sometimes the number of pages processed.

At the time of review, the annual-billing prices shown by PDF.co include:

  • Basic: $8.99 per month with 16,500 credits
  • Personal: $22.49 per month with 37,000 credits
  • Business 1: $44.99 per month with 80,500 credits
  • Business 2: $89.99 per month with 159,850 credits
  • Business 3: $270 per month with 483,000 credits
  • Enterprise: Custom pricing

Check the current PDF.co pricing page and the credit calculator before purchasing.

Do not compare “documents” with “credits” as though they are equivalent. Estimate the actual monthly workload, including:

  • Documents generated
  • Average pages per document
  • OCR pages
  • Conversions
  • Extraction requests
  • Merge and split jobs
  • Retries and failed jobs
  • Development and testing traffic
  • Retention requirements
  • Expected usage spikes

PDFMonkey may be particularly economical for high-volume template generation. PDF.co’s cost may be easier to justify when one subscription replaces several separate conversion, OCR, extraction, and editing services.

Where PDFMonkey Is Stronger

PDFMonkey is likely the better fit when:

  • Document generation is the main requirement.
  • Most documents reuse a controlled set of templates.
  • A visual template Builder is important.
  • Designers or operations staff need to update layouts.
  • Developers want HTML, CSS, JavaScript, and Liquid templates.
  • The application sends clean, structured JSON data.
  • The required output is a PDF or image created from that data.
  • The team wants transparent document-based quotas.
  • Existing PDFs do not need to be OCRed, converted, or edited.
  • A Bubble, Glide, Zapier, Make, or n8n workflow needs straightforward document generation.

Its focused product experience can be an advantage when broader PDF-processing features would only add complexity.

Where PDF.co Is Stronger

PDF.co is likely the better fit when:

  • The workflow receives existing PDFs or images.
  • Scanned documents require OCR.
  • Invoice or document fields must be extracted.
  • PDFs must be converted into CSV, JSON, XML, Excel, text, HTML, JPG, or PNG.
  • Webpages need to be converted directly to PDF.
  • Emails and attachments must be processed.
  • Existing PDFs must be merged, split, compressed, protected, or edited.
  • Existing form fields must be read or filled.
  • Barcodes must be read as well as generated.
  • One API needs to support multiple document-processing stages.
  • The team does not need a hosted visual template designer.

Can PDF.co and PDFMonkey Be Used Together?

Yes. The services can complement each other.

One combined workflow could:

  • Receive a scanned vendor invoice.
  • Use PDF.co OCR or invoice parsing to extract the data.
  • Validate the data in an application.
  • Send approved values into a PDFMonkey report template.
  • Generate a standardized review document.
  • Use PDF.co to merge that document with the original invoice.
  • Add a barcode or internal reference.
  • Store the combined file in the company’s document system.

Another workflow could:

  • Generate an account statement with PDFMonkey.
  • Convert its pages into preview images with PDF.co.
  • Add password protection.
  • Merge it with required disclosures.
  • Deliver the final package to the customer.

Using both platforms adds another vendor and integration point, so it should be reserved for cases where each product contributes a meaningful capability.

Questions to Ask Before Choosing

Before making a decision, answer these questions:

  • Are we creating new documents, processing existing documents, or both?
  • Do we need a visual template editor?
  • Are our templates primarily maintained by developers or non-developers?
  • Do we already have approved PDFs or Word files that must be reused?
  • Do we need direct URL-to-PDF conversion?
  • Will incoming files require OCR?
  • Do we need structured invoice or table extraction?
  • Must PDF pages be converted to JPG or PNG?
  • Do we need to edit, merge, split, or compress existing PDFs?
  • Do we need barcode reading?
  • How many documents and pages will we process each month?
  • How long must generated documents remain available?
  • What happens to failed jobs containing sensitive data?
  • Which security certifications and processing locations are required?
  • Will external images, fonts, or JavaScript be used?
  • Do we need a complete electronic-signature workflow?
  • Which automation platforms must be supported?
  • Who will maintain the templates after launch?

A short proof of concept using representative documents is more reliable than comparing feature lists alone.

Frequently Asked Questions

Is PDFMonkey an alternative to PDF.co?

It can be an alternative for template-based PDF generation. It is not a complete replacement for PDF.co workflows that require OCR, document extraction, PDF-to-image conversion, form processing, or editing existing files.

Which is better for generating invoices?

PDFMonkey is a strong choice when invoice data is already structured and needs to be placed into a reusable, professionally designed template.

PDF.co may be more appropriate when the workflow must also extract data from incoming invoices, convert attachments, process existing PDFs, or perform additional operations on the output.

Which is better for HTML-to-PDF?

PDFMonkey is well suited to reusable HTML, CSS, and Liquid templates. PDF.co is well suited to direct HTML-to-PDF and URL-to-PDF API workflows.

The better choice depends on whether the team wants hosted template management or direct conversion endpoints.

Can PDFMonkey convert a webpage URL to PDF?

PDFMonkey can render HTML supplied through a Code Template and can load approved external resources on eligible plans. However, this is different from a dedicated endpoint that navigates directly to an arbitrary webpage URL.

PDF.co offers a purpose-built URL-to-PDF capability.

Can PDFMonkey convert an existing PDF to JPG or PNG?

PDFMonkey can generate PNG, JPG, or WebP output from its own templates. It is not positioned as a general PDF-to-image converter for arbitrary uploaded PDF files.

PDF.co can convert the pages of an existing PDF into image formats.

Does PDFMonkey support OCR?

PDFMonkey is designed to generate documents from supplied data rather than extract content from scans.

PDF.co supports OCR and structured document-extraction workflows.

Can PDFMonkey use an existing PDF as a template?

PDFMonkey does not currently import an existing PDF or Word document as an editable template. The layout must be recreated in its visual Builder or as an HTML/CSS Code Template.

Does PDFMonkey support fillable PDFs?

PDFMonkey Code Templates can generate supported interactive AcroForm fields. This is different from importing and filling an existing PDF form.

Does PDFMonkey support electronic signatures?

PDFMonkey does not provide a complete electronic-signature workflow, and its form documentation states that signature fields are not currently supported.

A separate e-signature provider is appropriate when the workflow requires recipient authentication, consent, audit trails, or signing invitations.

Which product is better for Bubble?

PDFMonkey provides a documented Bubble integration and is a natural fit when a Bubble application needs to generate PDFs from application data.

PDF.co can be connected through its REST API or automation services when the Bubble workflow also needs conversion, OCR, extraction, or editing.

Which product is better for n8n?

Both can participate in n8n workflows.

Choose PDFMonkey for focused template generation. Choose PDF.co when the n8n workflow needs multiple document-processing operations such as PDF download, OCR, extraction, conversion, merging, or PDF-to-image.

Which platform is less expensive?

It depends on workload.

PDFMonkey’s document-based plans can be cost-effective for repeated template generation. PDF.co uses endpoint-specific credits and may provide better overall value when the workflow would otherwise require several separate document-processing services.

Test the expected monthly document count, page volume, endpoints, and retention requirements before comparing totals.

Final Verdict

PDFMonkey is a focused document-generation platform with strong template-management options, a visual Builder, developer-oriented Code Templates, and straightforward integrations. It is a compelling choice for applications that turn structured data into invoices, reports, certificates, statements, and other designed documents.

PDF.co is a broader document automation platform. It is the stronger choice when a workflow must work with existing PDFs, scans, emails, forms, webpages, barcodes, or multiple file formats—and when OCR, extraction, conversion, editing, or document assembly are required.

Choose PDFMonkey when template-driven generation is the entire job.

Choose PDF.co when document generation is one part of a larger PDF-processing workflow.

To evaluate PDF.co with your own documents, create a PDF.co account and test the relevant endpoints using the PDF.co API documentation.