Open-source alternatives to Pdf2docx

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

pdfminer is a Python library for parsing PDF files to extract text, analyze layouts, decrypt content, and convert documents into HTML or XML formats. It functions as a text extraction engine and layout analysis tool designed to retrieve characters and words while preserving the structural organization of the original document. The project provides utilities for converting PDF content into structured HTML or XML to maintain visual layout and a decryption tool for unlocking restricted documents using encryption keys. It identifies the positions and groupings of text elements to reconstruct page

This project is a PDF data extraction tool and document preprocessor designed to convert PDF files into structured formats such as Markdown, JSON, and HTML. It functions as an OCR document parser for scanned files, an accessibility automator for generating PDF/UA compliant metadata, and a loader for AI orchestration frameworks like LangChain. The software distinguishes itself through specialized handling of complex document elements, including the conversion of mathematical formulas into LaTeX and the generation of natural-language descriptions for charts and images. It utilizes recursive seg

Camelot is a Python library and processing engine designed to extract tabular data from PDF documents. It converts unstructured tables into machine-readable formats such as CSV, JSON, and Excel. The project provides specialized toolsets for different document types, using line detection for ruled tables and whitespace analysis for borderless tables. It includes an optical character recognition system to recover structured data from image-based scanned PDFs that lack a digital text layer. The library handles complex document layouts, including encrypted files, rotated pages, and tables that s

SumatraPDF is a lightweight, multi-format document viewer designed for rendering PDF, eBook, and comic book files within a unified interface. It functions as both a graphical reading environment and a command-line document processor, enabling users to automate file conversion, merging, and extraction tasks without requiring a graphical interface. The application distinguishes itself through a single-executable binary distribution that utilizes direct-to-GDI rendering and memory-mapped file access to maintain high performance and minimal memory overhead. Users can personalize their workspace b

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

DesktopEditors is an office suite application designed for creating and editing text documents, spreadsheets, and presentations across different operating systems. It serves as an OOXML compatible editor, ensuring that files are read and written according to Office Open XML standards for cross-platform document exchange. The suite functions as a collaborative document platform featuring real-time co-authoring, version tracking, and integrated communication tools. It also acts as an AI-powered document assistant and PDF editor, providing capabilities for content generation, automated spreadshe

Pix2Text is an optical character recognition system and document conversion tool designed to transform images and PDFs into Markdown. It functions as a multilingual OCR engine supporting over 80 languages, a LaTeX formula recognizer for mathematical notations, and a parser integrated with vision language models. The project utilizes a hybrid pipeline to separate plain text from mathematical formulas and tabular structures within a single pass. It converts recognized formulas into LaTeX expressions and transforms detected tables and layouts into structured Markdown formatting. The system incl

pdf-craft is an OCR-based document parser and structure extractor designed to convert PDF files into structured data, Markdown, or EPUB ebooks. It utilizes optical character recognition and statistical analysis to identify document hierarchies and extract text and structured content. The system features specialized rendering for mathematical formulas and tables, using heuristic reconstruction to convert tabular data into digital formats. It includes a document structure extractor that builds tables of contents by analyzing font sizes, linguistic patterns, and language model title detection.

pdfplumber is a PDF data extraction library and layout analysis tool used to retrieve text, tables, and geometric objects from PDF files using precise coordinate-based analysis. It functions as a layout analyzer and table parser that identifies the bounding boxes and visual coordinates for every character and image on a page. The library distinguishes itself through visual debugging capabilities, allowing users to render PDF pages as images and draw annotations to verify the position of extracted data. It employs line and intersection analysis to identify cell structures and convert unstructu

Dolphin is a multimodal layout analyzer and image-to-structure converter that transforms photographed or digital document images into machine-readable structured data. It functions as an LLM document parser, utilizing vision-language models to simultaneously predict spatial layout and text content. The system is designed as a concurrent document processor, employing parallel document parsing to process multiple elements across distributed compute nodes. This high-throughput approach reduces the total time required to convert large volumes of images into structured formats. The project covers

Marker is an LLM-powered document parser and OCR pipeline designed to convert PDFs and unstructured files into structured markdown, JSON, and HTML. It functions as a data preprocessor that transforms complex documents into machine-readable formats while preserving tables, equations, and layout structures. The system utilizes large language models to refine OCR accuracy, clean mathematical notation, and merge fragmented tables across multiple pages. It employs model-based layout analysis to predict block types and bounding boxes, ensuring a more precise conversion of document elements. Capabi

Spark NLP is a toolkit for scalable text analysis and machine learning built on the Apache Spark distributed computing framework. It provides a multimodal machine learning framework and a distributed pipeline system for sequencing annotators to process large-scale linguistic data. The library includes a transformer text processor for generating contextual vector embeddings and a dedicated inference engine for managing large language models. The project distinguishes itself through its ability to process heterogeneous data types, including text, audio, and images, within a unified vision-langu

Unstructured is an enterprise-grade data orchestration engine designed to transform raw, unstructured files into structured, machine-readable formats. It functions as a comprehensive platform for document ingestion, partitioning, and enrichment, specifically engineered to prepare complex data for retrieval-augmented generation and agentic AI workflows. The platform distinguishes itself through its sophisticated document processing strategies, which combine rule-based extraction with vision-language models to handle diverse file layouts, tables, and images. It provides a modular architecture t

Okio is a Java I/O library providing a set of tools for efficient byte-stream processing and file system operations. It functions as a buffered byte stream handler and streaming data transformer, utilizing a cross-platform file system API to manage data movement. The project is distinguished by its use of pooled mutable byte buffers that treat sequences as queues to reduce memory copying and garbage collection churn. It further decouples file operations from the host operating system through an abstraction-based file system, allowing for consistent path manipulation and atomic operations acro

QuestPDF is a C# PDF generation library and layout engine used to create structured documents, reports, and invoices. It utilizes a fluent API and a component-based layout approach to convert code into high-fidelity PDF and XPS files. The library distinguishes itself with a dedicated layout debugger that provides real-time previews, hot-reload capabilities, and visual boundary tools to map rendered elements back to source code. It also functions as an accessibility tool, providing semantic tagging and navigational aids to ensure documents comply with international accessibility and archival s

OpenBBTerminal is a Python financial data platform and command line interface designed for aggregating and analyzing market data from diverse APIs. It serves as a quantitative analysis tool for processing stock, crypto, and derivative datasets to identify market trends and build investment strategies. The project utilizes a pluggable financial API framework with an adapter-based architecture, allowing external financial data providers to be integrated as independent modules. This system standardizes information from public and proprietary sources into a unified layer to support cross-asset an

Shell GPT is an AI-powered command-line interface that generates shell commands and source code from natural language prompts. It serves as a terminal-based tool for automating technical tasks, producing executable commands, and generating code snippets directly within the shell. The tool distinguishes itself through a read-eval-print loop for interactive chatting and the ability to maintain stateful conversational history via named sessions. It supports flexible backend routing, allowing users to connect to cloud-based APIs or local language model hosts for offline operation and data privacy

This developer command-line tool manages deployments, configures serverless functions, and provisions resources for a cloud hosting platform. It provides a terminal utility to automate project deployment, environment variable management, and database provisioning for web applications, while also serving as a local development server that simulates production routing and proxy rules. The tool handles deployment workflows by synchronizing web projects through file hashing, artifact caching, and real-time progress tracking. It coordinates serverless function lifecycles with hot reloading across

gopass is a terminal-based password manager and GPG secret store used for generating, storing, and retrieving encrypted credentials. It functions as a collaborative secret manager that encrypts data using GPG or age and synchronizes it across devices and teams using Git. The system distinguishes itself by treating version control repositories as the primary storage backend, enabling secure secret sharing and version history for credentials. It utilizes a hierarchical directory structure to organize secrets on the filesystem and supports multi-store mounting to combine multiple independent rep

Powerline is a statusline and prompt generation framework designed to provide consistent visual information across terminal shells, text editors, and multiplexers. It functions as a configuration-driven customization engine that allows users to define themes, color schemes, and dynamic segment layouts to maintain a cohesive interface across diverse command-line environments. The system utilizes a persistent background daemon to manage state and rendering logic, which offloads processing tasks to minimize resource consumption and ensure high responsiveness across multiple active application in

Taskbook is a command-line task manager and local plain-text organizer that provides a terminal user interface for managing to-do lists, project boards, and notes. It functions as a CLI Kanban board, allowing users to group actionable items and informational snippets into categorized boards. The tool emphasizes local data organization by storing information in local files with customizable storage paths. It supports a Kanban-style workflow where tasks are organized into boards and tracked through pending, in-progress, and complete states. The system includes capabilities for prioritizing tas

This project is a Python framework for building command-line interfaces by converting standard functions into executable programs. It uses type hints to automatically infer and generate argument parsers, validation logic, and help documentation, allowing developers to define complex terminal applications through simple function signatures. The framework distinguishes itself through a decorator-driven registration system that enables the construction of hierarchical command trees. It supports dependency injection to manage shared state and runtime configuration across subcommands, and it utili

The AWS SAM Command Line Interface is a development toolkit used to define, emulate, and manage the lifecycle of serverless infrastructure. It serves as an infrastructure as code tool and a wrapper for AWS CloudFormation, allowing users to describe cloud resources through declarative templates. The project differentiates itself by providing a local serverless emulator that uses containers to execute and debug functions before they are deployed. It also enables rapid cloud iteration through real-time synchronization, which monitors local source code for changes and automatically pushes updates

Mac-CLI is a collection of terminal commands and utilities designed for automating system management, hardware monitoring, and software configuration on macOS. It serves as a developer utility and automation tool for manipulating files, managing version control, and auditing installed packages from the command line. The project provides hardware monitoring capabilities to track real-time battery health, CPU temperature, and fan speeds. It also includes system automation tools for managing power states, disk usage, and network settings through a unified interface. The utility covers several f

Buku is a personal bookmark manager that provides a command line interface, a portable bookmark database, and a self-hosted server for organizing web links. It functions as a command line knowledge base for saving, tagging, and searching web resources. The system features a portable, mergeable database that supports AES-256 encryption and is designed for cross-device data synchronization. It includes a RESTful API and a self-hosted web interface, allowing users to manage their collection via a browser or programmatic requests. Capabilities include automatic metadata fetching to populate page

The Kaggle API command line interface is a suite of utilities for managing datasets, machine learning models, and competition entries from a terminal. It functions as a command line wrapper that translates user input into API calls to control remote cloud resources. The project differentiates itself by providing specialized tools for automating the execution of notebook kernels and managing the lifecycle of machine learning models, including version iteration and performance tracking. It also includes a utility for executing evaluation tasks against large language models and downloading the r