Fact sheet · APIs & SDKs
pdfs.build
PDF template engine and rendering API that generates pixel-perfect documents in milliseconds
pdfs.build specifications
| Section | APIs & SDKs |
|---|---|
| Origin | Sharjah, United Arab Emirates |
| Website | pdfs.build |
| Votes2 | 0 |
pdfs.build metrics
| Metric | Value |
|---|---|
| Domain Rating | 19 no change since last check |
| Trust Flow | 4 no change since last check |
| Citation Flow | 24 no change since last check |
| Referring domains | 73 no change since last check |
| External backlinks | 129 no change since last check |
Fact: Ahrefs Domain Rating checked 17 Oct 2026, fact changed 15 Oct 2026. Fact: top topic Arts (4). Fact: Majestic checked 15 Oct 2026, fact changed 15 Oct 2026. Link facts from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
pdfs.build domain fact sheet
| Domain age | 6 months |
|---|---|
| Registered | |
| Expires | |
| Registrar | NameCheap, Inc. |
| DNSSEC | Not signed |
Design PDF templates once with AI assistance, then render pixel-perfect documents by passing JSON data via REST API or MCP integration.
Overview

pdfs.build is a PDF template engine and rendering API that lets teams design document templates once and render them millions of times with different data. Define templates with dynamic variables using an AI editing assistant or by importing a .docx file, then pass JSON data via REST API to generate pixel-perfect PDFs in milliseconds.
The platform uses Typst, an open-source typesetting engine, ensuring predictable page breaks, repeating table headers, and pinned footers when data grows. It includes 170+ starter templates covering invoices, receipts, certificates, and more, with live preview, version control, and AI-driven design tools.
pdfs.build offers integration via REST API, webhook notifications, and Model Context Protocol (MCP) support for AI agents like Claude and GPT-4 to generate documents as native tools. The embedded editor can be white-labeled and embedded in other SaaS products. Plans range from $19/month for 1,000 monthly renders to $199/month with 50,000 renders, team workspaces, and embedded capabilities.
Feature facts
- 170+ starter templates for invoices, receipts, certificates, and reports
- AI-assisted template design with plain English chat interface
- Live preview with instant rendering as templates are edited
- REST API for programmatic PDF generation with millisecond response times
- Version control to track, rollback, and compare template edits
- Model Context Protocol (MCP) support for AI agent integration
- Webhook notifications for asynchronous render completion
- Batch generation for rendering thousands of documents in parallel
- Team workspaces with role-based access and shared brand assets
- Embedded editor SDK for white-label integration in SaaS products
Pricing
Pricing model: Freemium
Starter: $19/month (1,000 PDF renders, 1,500 AI design credits). Pro: $49/month with 7-day free trial (5,000 PDF renders, 4,000 AI design credits). Scale: $99/month (20,000 PDF renders, 10,000 AI design credits). Platform: $199/month (50,000 PDF renders, 15,000 AI design credits, embedded editor). A
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Frequently looked up
- Q1How does pdfs.build differ from HTML-to-PDF solutions?
- pdfs.build uses Typst, an open-source typesetting engine, rather than a headless browser. This ensures page breaks, repeating table headers, and pinned footers behave predictably when data grows, instead of depending on how a browser happened to lay out a page that day.
- Q2Can I import existing documents to create templates?
- Yes, you can import a .docx file as a starting point for creating templates, then edit it using the AI assistant or manually.
- Q3What is the median render time for PDF generation?
- The median render time is approximately 220 milliseconds, achieved without headless browsers or complex setup.
- Q4Can AI agents generate documents directly from pdfs.build?
- Yes, the document library is reachable from a hosted MCP server, allowing AI agents like Claude or GPT-4 to generate documents directly as a native tool via the Model Context Protocol.
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See also
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