PDF on SoloSoft

html2pdf.js: Client-Side HTML to PDF Conversion in JavaScript

Fri, 01 May 2026 00:00:00 +0000

Generating PDFs from web content is a requirement that appears in virtually every web application, yet implementing it properly is notoriously difficult. html2pdf.js (eKoopmans/html2pdf.js on GitHub) solves this problem by providing a simple, client-side JavaScript library that converts HTML elements into PDF documents directly in the browser, with no server required.

Created by Erik Koopmans and building on the proven foundations of html2canvas and jsPDF, this library has accumulated over 10,000 GitHub stars by offering a straightforward solution to a common problem. The API is deceptively simple: you select an HTML element, call a conversion function, and get back a downloadable PDF that preserves the visual appearance of the original content.

PDFPlumber: Extract Text, Tables, and Metadata from PDFs in Python

Fri, 01 May 2026 00:00:00 +0000

PDFs remain one of the most common formats for distributing documents, but extracting data from them programmatically has always been challenging. The PDF format preserves visual layout at the expense of structural semantics, making it difficult to distinguish a table from a column layout or a heading from body text. PDFPlumber (jsvine/pdfplumber on GitHub) tackles this challenge by providing a Python library that gives developers detailed, programmable access to the inner structure of PDF pages.

Created by Jeremy Singer-Vine and now maintained by a community of contributors, PDFPlumber has become a go-to tool for data extraction from PDFs, with over 6,000 GitHub stars. It is built on top of pdfminer.six, which handles the low-level PDF parsing, and adds a much more developer-friendly API, visual debugging tools, and robust table extraction capabilities.

PyMuPDF: High-Performance PDF Processing for Python

Fri, 01 May 2026 00:00:00 +0000

When you need raw speed for PDF processing, PyMuPDF is the performance leader among Python PDF libraries. Built as a Python binding to the C-based MuPDF library from Artifex, PyMuPDF combines Python’s ease of use with C-level performance for rendering, extracting, and manipulating PDF documents.

PyMuPDF processes PDFs 10-100x faster than pure Python alternatives. It renders pages to images in milliseconds, extracts text with precise positioning, manages annotations, and handles forms. Beyond PDF, it also supports XPS, EPUB, MOBI, FB2, and common image formats, making it a versatile document processing engine.

Performance Benchmarks

Operation	PyMuPDF	pypdf	pdfminer	Units
Text extraction (100 pages)	0.3	4.2	8.5	seconds
Page rendering	0.05	N/A	N/A	seconds per page
Memory usage	45	120	200	MB for 1000 pages
PDF merge (50 files)	0.8	2.1	N/A	seconds

Core Capabilities

Feature	Description
Page rendering	Convert pages to PNG, JPEG, or Pixmap at any resolution
Text extraction	Get text with positions, fonts, and styles
Image extraction	Extract embedded images in original format
Annotation management	Add, edit, and remove highlights, notes, stamps
Document conversion	Convert between PDF, XPS, EPUB, and images

Rendering and Extraction Pipeline

flowchart LR
 A[PDF/XPS/EPUB] --> B[MuPDF Core Engine]
 B --> C{Operation}
 C -->|Render| D[Page Pixmap]
 D --> E[Image Output]
 C -->|Extract| F[Text Dictionary]
 F --> G[Structured Text]
 C -->|Annotate| H[Annotation Objects]
 H --> I[Modified Page]
 C -->|Transform| J[Rotate/Scale/Clip]
 J --> I
 I --> K[Save PDF]

The MuPDF core engine parses the document structure and provides high-speed access to every element. Python bindings wrap this into familiar objects like Document, Page, and Pixmap with intuitive methods.

pypdf: Pure Python PDF Toolkit

Fri, 01 May 2026 00:00:00 +0000

When you need to manipulate PDFs in Python without heavy external dependencies, pypdf is the go-to solution. This pure Python library provides comprehensive PDF manipulation capabilities including splitting, merging, cropping, rotating, encrypting, and text extraction, all without requiring any native code or system libraries.

Pypdf has been the standard Python PDF library for over a decade. It has evolved through multiple major versions and now offers a clean, modern API that is easy to use while being remarkably powerful under the hood. The library parses the PDF specification directly, giving it access to every element in the document structure.

Core Capabilities

Feature	Description	API
Page operations	Merge, split, rotate, scale, crop	PdfWriter + PdfReader
Metadata	Read and write document metadata	metadata property
Encryption	PDF password protection and decryption	encrypt() / decrypt()
Text extraction	Extract text from pages with layout options	extract_text()
Form filling	Fill PDF AcroForm fields	update_page_form_field_values()

Document Processing Flow

flowchart LR
 A[Input PDFs] --> B[PdfReader]
 B --> C{Operation Type}
 C -->|Merge| D[PdfWriter.append]
 C -->|Split| E[PdfWriter per page]
 C -->|Transform| F[Page transformation]
 C -->|Extract| G[text_extraction]
 D --> H[PdfWriter]
 E --> H
 F --> H
 G --> H
 H --> I[write() to File]

The workflow centers around PdfReader for input and PdfWriter for output. Pages are read, manipulated, and assembled into a new document. Text extraction bypasses the Writer path and returns strings directly.