Projects sharing features with PDF Guru

PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool, OCR engine, and image converter, providing a programmatic interface to edit, merge, split, and optimize PDF and Office documents. The project distinguishes itself through high-performance capabilities, including the use of C-bindings for low-level manipulation and parallelized page processing to accelerate workloads. It provides specialized conversion paths, such as transforming PDF content into Markdown for retrieval-augmented generation and large language model pipelines. It

Sparrow is an LLM document extraction platform and vision-based inference engine designed to convert images and PDFs into validated structured data. It functions as an agentic workflow orchestrator that chains classification, extraction, and validation tasks into multi-step pipelines. The system distinguishes itself through a backend-agnostic inference layer that manages models across local GPUs, Apple Silicon, and cloud providers. It employs coordinate-based visual grounding to map extracted text to precise bounding box coordinates and utilizes hint-based model steering to guide attention an

Genanki is a Python library for programmatically generating flashcard decks, note models, and compatible package files for Anki. It functions as a flashcard automation library that allows for the creation of individual memory units by mapping data to defined note models. The library distinguishes itself through a system for managing stable, unique identifiers using deterministic hashing, which ensures that updates overwrite existing entries rather than creating duplicates. It provides utilities to bundle notes, CSS styling, and media assets into compressed archives or inject data directly int

Skill Seekers is a toolset for generating large language model knowledge bases, featuring a multi-source content scraper and a dedicated RAG data pipeline. It extracts technical data from documentation, code, and video to create structured assets and configuration files for AI-powered IDE extensions. The project distinguishes itself through the ability to transform raw data into polished tutorials and specialized skills for AI plugin marketplaces. It utilizes abstract syntax tree parsing and optical character recognition to analyze GitHub repositories, PDFs, and video frames, converting these

PandaOCR is a desktop application for extracting text from images and screen captures using optical character recognition. It functions as a mathematical formula digitizer, a table data extractor, a multilingual translation utility, and a text-to-speech interface. The project distinguishes itself through specialized recognition routing that distributes data across different providers based on whether the content is standard text, tables, or formulas. It provides real-time software interface localization by rendering translated text layers directly over active application windows using coordin

OpenPDF is a Java library and document processor used for creating, editing, rendering, and encrypting PDF documents. It functions as a toolkit for generating new files from scratch, modifying existing document structures, and extracting text content. The project includes a dedicated engine for transforming HTML and CSS content into PDF documents by parsing markup and applying styles. It also provides a rendering engine to convert PDF pages into image formats for thumbnails and previews, alongside a security utility for protecting content via document encryption. The library supports the add

Tesseract-OCR-iOS is a native integration of the Tesseract engine for iOS applications. It provides on-device image recognition to identify and extract printed text from images, converting them into editable strings. The project enables local device execution, meaning image processing and text extraction occur entirely on the hardware without the use of external cloud services or network requests. It utilizes a C++ wrapper and an Objective-C bridge to interface high-level iOS APIs with the underlying Tesseract engine and Leptonica image processing library. The library supports document digit

This project is a comprehensive study guide and knowledge base for deep learning, machine learning, and the associated mathematics required for artificial intelligence. It functions as a curated collection of technical questions and answers designed to help users study fundamental theories and practical applications. The repository serves as a technical interview preparation resource by aggregating industry-standard questions and core knowledge points. It provides a structured reference for reviewing neural network architectures and specific techniques used in computer vision, such as object

This project is a terminal-based optical character recognition engine that uses neural network models to extract text and spatial layout data from images. It functions as both a command-line utility for automated text processing and a library for integrating machine learning-powered recognition into broader workflows. The engine distinguishes itself through a modular processing pipeline that supports custom model loading and memory-mapped weight initialization for efficient execution. It preserves document structure by tracking precise geometric coordinates for every detected text element, an

This project is a backend engineering interview guide and computer science study resource. It provides a curated collection of technical questions and answers focused on server-side architecture, database optimization, and networking fundamentals to prepare for professional software engineering evaluations. The resource functions as a technical reference for studying ACID properties, transaction isolation, and the optimization of relational and non-relational systems. It includes a software architecture reference for analyzing design patterns, dependency injection, and the structural tradeoff

A fast, helpful, and open-source document parser

This project is a digital document repository and technical PDF library. It serves as a computer science reference archive designed to store a curated collection of academic papers, specifications, and manuals focused on computing and software engineering. The archive functions as an engineering knowledge base for technical research archiving. It manages a structured library of documents to preserve institutional knowledge and ensure technical documentation remains accessible. The system employs a curated content pipeline and metadata-driven indexing to organize materials. Documents are mana

This project is a Linux system administration question bank designed to evaluate knowledge of server management. It serves as a technical reference and study guide through a collection of curated questions and answers. The resource provides targeted preparation for technical interviews and professional exams. It specifically covers DevOps interview preparation, including containerization, continuous integration, and version control. The knowledge base spans several core competency areas, including system internals, kernel architectures, and the Linux boot process. It also includes materials

This repository is a curated study resource of interview questions and answers for data science roles. It covers the core domains of machine learning, statistics, Python programming, SQL databases, deep learning, and algorithmic problem solving. The content is organized as static Markdown files with a structured question-and-answer format, making it easy to read and navigate without any server-side processing. The material distinguishes itself by pairing each question with a detailed explanation and often a code example, covering both conceptual knowledge and practical application. Topics ran

PyPDF2 is a pure Python library for transforming, securing, and extracting data from PDF documents. It provides a comprehensive suite of tools to modify page layouts, manage document security, and retrieve embedded metadata without relying on external C libraries. The toolkit enables document assembly through the merging of multiple files and the splitting of documents into smaller parts. It also supports page-level transformations, including the ability to rotate pages and adjust visible crop areas. The library includes capabilities for security management via password-based encryption and

This project is a curated knowledge repository providing theoretical guides, practical challenge banks, and professional handbooks for technical interview preparation in data science and machine learning. It serves as a comprehensive study resource that combines theoretical knowledge with algorithmic practice. The repository features specialized study resources including a probability and statistics handbook, a machine learning reference for algorithms and neural network architectures, and a coding and SQL challenge bank designed to simulate recruitment assignments. It also includes a technic

pdf-lib is a JavaScript PDF manipulation library used for creating, modifying, and editing PDF documents programmatically. It functions as a cross-runtime tool compatible with Node, Browser, Deno, and mobile JavaScript environments. The library provides a programmatic interface for document editing and form generation. It supports building interactive PDF forms, populating existing fields with custom data, and flattening forms into static content. Its broader capabilities include generating new documents from scratch, rearranging or copying pages between files, and managing document metadata

unioffice is a comprehensive document processing suite that provides a PDF document processor, an Open XML document library, a document security toolkit, and a document content extractor. It is designed to programmatically create, read, and modify Word, Excel, and PowerPoint files, as well as generate and edit PDF documents. The project is distinguished by its native language implementation of the Open XML standard, which removes native binary dependencies to simplify container deployments. It features advanced capabilities for digital document security, including hardware-based PDF signing,

KnowledgeGraphCourse is a structured collection of graduate-level academic materials, lecture notes, and a comprehensive curriculum focused on the theory and application of knowledge graphs. It serves as a markdown-based educational resource that provides navigable course modules and study guides. The material covers specialized research on integrating knowledge graphs with large language models to reduce hallucinations. It includes detailed guides on using the SPARQL language for storing large-scale graph datasets and executing optimized queries. The curriculum spans a broad range of capabi

This is a computer science flashcard web application designed for memorizing algorithms, data structures, and general technical concepts. It functions as a spaced repetition study tool that organizes academic materials by category and mastery level to track knowledge acquisition. The application is provided as a containerized educational tool, allowing for self-hosted deployment to ensure consistent execution across different systems. It includes a utility to export stored study sets and academic content into CSV files for use in external applications. The platform covers content management

mPDF is a PHP library that transforms UTF-8 encoded HTML and CSS into formatted PDF documents. It serves as a PDF generation engine and document architect capable of converting web pages and HTML forms into professional files. The project is distinguished by its multilingual rendering capabilities, providing comprehensive support for bidirectional text, right-to-left scripts, and CJK languages using Unicode font embedding and OpenType layout processing. It further enables professional print-ready design through advanced color modeling in CMYK, precise page dimensioning, and compliance with PD

This project is a technical quiz reference database and answer key designed for passing LinkedIn skill assessments and other professional technical certifications. It serves as a searchable repository of verified questions and correct answers used to earn skill badges and validate professional proficiency. The database covers a wide range of technical domains, including various programming languages, database technologies, and cloud infrastructure certifications such as AWS Lambda and REST API assessments. It functions as a study guide for those preparing for industry-standard technical tests

Tess-two is an optical character recognition tool and Android application designed to extract written text from images using the Tesseract engine. It functions as an image analysis utility for detecting visual artifacts, blur, and optical flow within local image files on Android devices. The project includes an image pre-processing suite used to clean and manipulate images to increase the accuracy of text recognition. This involves a pipeline that applies grayscale conversion and binarization before the recognition process. The software integrates native image processing and character analys

Embed PDF Viewer is a browser-based PDF rendering library that uses a WebAssembly port of the PDFium engine to display documents entirely on the client side, with no server-side processing required. It provides a framework-agnostic core engine layer that manages the PDF document lifecycle, memory allocation, and WebAssembly resource cleanup, with dedicated integration hooks for React and Vue 3 that handle initialization, document loading, and reactive state management. The library offers both a pre-built, embeddable viewer that can be inserted into any web page with a single initialization ca

mmocr is a PyTorch-based optical character recognition framework designed for training and deploying text detection, recognition, and key information extraction models. It serves as a comprehensive toolbox for scene text detection and recognition, providing specialized libraries for locating text regions and converting visual text into machine-encoded strings. The project distinguishes itself through a research framework for key information extraction and advanced text spotting capabilities. These include point-based spotting using transformers and the use of parameterized Bezier curves to id

This project is a digital collection of academic material on deep learning provided as a machine learning educational resource. It delivers the complete textbook and individual chapters in portable document format for offline study and research. The repository includes electronic publication versions of the textbooks optimized for digital reading devices and e-book readers. It functions as a segmented document repository, providing the text both as a full volume and split into individual chapters to allow for targeted reading.

Reader is an iOS PDF rendering engine and user interface component designed to display PDF documents on Apple platforms. It functions as a document viewer that enables users to navigate pages and interact with embedded content. The framework manages encrypted files by requesting and verifying security credentials to unlock protected document streams. It utilizes tiled layer rendering and multi-threaded processing to maintain scrolling performance and responsiveness. The system covers document navigation via gestures and thumbnails, as well as the resolution of internal and external links. It