Shared type definitions, data models, and utility helpers (geometry, tasks, logging, PDF primitives) that underpin every package in the EmbedPDF ecosystem.
Shared type definitions, data models, and utility helpers (geometry, tasks, logging, PDF primitives) that underpin every package in the EmbedPDF ecosystem.
Pluggable runtime layer that abstracts over multiple PDF engines (PDF-ium, Web Workers, mocks, etc.) to provide a unified API for rendering, search, annotation, and other document-level operations in EmbedPDF.
Arabic fallback fonts for EmbedPDF - Noto Naskh Arabic (Regular and Bold)
Hebrew fallback fonts for EmbedPDF - Noto Sans Hebrew (Regular and Bold)
Simplified Chinese (GB2312) fallback fonts for EmbedPDF - Noto Sans Hans (5 weights)
PDFium WebAssembly for the web platform. This package provides a powerful JavaScript interface to PDFium, enabling high-quality PDF rendering and manipulation directly in web applications.
Korean (Hangeul) fallback fonts for EmbedPDF - Noto Sans KR (7 weights)
Traditional Chinese (Big5) fallback fonts for EmbedPDF - Noto Sans Hant (7 weights)
Japanese (Shift-JIS) fallback fonts for EmbedPDF - Noto Sans JP (7 weights)
Latin/European fallback fonts for EmbedPDF - Noto Sans (9 weights × 2 styles)
Core package for CloudPDF.
React component for embedding PDF documents
<div align="center"> <a href="https://www.embedpdf.com"> <img alt="EmbedPDF logo" src="https://www.embedpdf.com/logo-192.png" height="96"> </a>
Shared type definitions, data models, and utility helpers (geometry, tasks, logging, PDF primitives) that underpin every package in the EmbedPDF ecosystem.
Vue component for embedding PDF documents
Svelte component for embedding PDF documents
TUF metadata models
SimplePDF straight into your React app
Tree-shakeable static models.dev catalog split by provider for TokenLens.
Contains JavaScript & TypeScript object models for Microsoft Power BI JavaScript SDK. For each model there is a TypeScript interface, and a validation function to ensure and object is valid.
Client-side React components for rendering PDF, DOCX, PPT, XLSX, images, video, audio, code, markdown, and HTML in the browser.
An open-source machine learning framework.
The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs) gives access to over 300 large language models on the OpenRouter chat and completion APIs.