Projects sharing features with Camelot

pdfminer.six is a programmatic tool for extracting text, layout information, and metadata from PDF documents into machine-readable formats. It functions as a document parser that converts internal PDF objects and structures into accessible data objects for analysis. The project includes utilities for decrypting RC4 and AES encrypted files to enable content extraction. It also provides a layout analyzer to identify fonts, colors, and text locations to determine the organizational structure of pages. The system covers a broad range of extraction capabilities, including the retrieval of embedde

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

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

Parsr is an unstructured data extractor and document parsing pipeline that converts raw files and images into cleaned, machine-readable formats. It functions as a document layout analyzer and a pipeline for extracting structured data and labels using large language models. The system includes a document parsing visualizer, providing a graphical interface to upload documents and inspect the resulting structured data output. The project covers document digitization workflows, including layout analysis to detect headings, tables, and lists, and automated data entry through the cleaning and enri

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

Botasaurus is a Python web scraping framework and headless browser automation system used to build scalable data extraction tools. It functions as a web data extraction tool and OCR document parser, converting website content, images, and PDF files into structured formats such as JSON, CSV, and Excel. The framework distinguishes itself by providing a scraper management interface that allows Python functions to be wrapped in a web-based UI or deployed as standalone desktop applications. This enables non-technical users to trigger extraction jobs and manage tasks via a graphical interface or RE

pdf2docx is a suite of PDF utilities designed to transform static PDF documents into editable DOCX files. It functions as a multi-core processor capable of accelerating the conversion of large files by distributing page tasks across multiple CPU cores. The project includes specialized tools for decrypting password-protected PDF files and extracting tabular content as structured data. It also provides a layout analyzer to visually inspect and verify document structure during the conversion process. Conversion is accessible through both a graphical user interface and a command-line interface,

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

Tablib is a Python library designed for importing, exporting, and manipulating tabular datasets. It functions as a multi-format data converter and manager, allowing users to move information between different file standards. The library supports data transformation across CSV, JSON, YAML, and Excel formats. It provides a programmatic interface to manage these datasets by adding rows, filtering columns, and segregating records. The system uses a common internal representation and adapter-based mapping to normalize diverse input sources. This allows for consistent reading and writing routines

xlwings - Make Excel fly with Python!

xmltodict is a Python library that provides bidirectional serialization between XML documents and dictionaries. It functions as a parser that converts marked-up input into key-value pairs and a serialization utility that transforms dictionaries back into structured XML documents. The project includes an incremental stream processor that uses depth-based callbacks to handle large XML files while maintaining constant memory usage. It features a namespace manager for mapping prefixes and declarations, as well as a security sanitizer that blocks external entity expansion and validates element nam

EasyOCR is a deep learning-based computer vision library designed to perform optical character recognition on images and video frames. It functions as a comprehensive pipeline that automates the transformation of visual text into machine-readable strings, enabling the digitization of physical documents, forms, and receipts into searchable data. The engine distinguishes itself through a multi-stage processing workflow that combines convolutional neural networks for spatial feature extraction with sequence-based decoding mechanisms. This architecture allows the system to identify and interpret

Deep OCR is a deep learning framework designed for the recognition of Chinese characters within images. It functions as an optical character recognition library that converts scanned documents or image files into digital text, providing an alternative to traditional template matching methods. The system utilizes a combination of convolutional neural networks for spatial feature extraction and recurrent sequence modeling to capture contextual relationships between characters. It employs connectionist temporal classification to map image sequences to character strings without requiring explicit

Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into clean, structured text and metadata. It is built around a compiled Rust core that can be used as a native library, a command-line tool, a REST API server, or a WebAssembly module for browser-based processing. The system is designed to run entirely on self-hosted infrastructure, with no data leaving the user's environment. What distinguishes Kreuzberg is its breadth of integration surfaces and its pipeline architecture. It exposes extraction capabilities through native bindings fo

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

tchMaterial-parser is an educational PDF downloader and content parser designed to extract digital textbooks from the National Smart Education Platform. It functions as a batch document downloader that retrieves multiple educational resources in bulk, utilizing automated file naming based on extracted titles and metadata. The system includes a PDF bookmark generator that creates navigational tables of contents and internal jump-links within downloaded files. It resolves remote preview links into direct downloadable addresses and employs token-based authentication to authorize API requests for

Table Transformer is a deep learning framework designed for document layout analysis and the automated extraction of tabular data from unstructured images and documents. It utilizes a transformer-based architecture to perform object detection, identifying table boundaries and internal grid structures to convert visual information into machine-readable formats. The project distinguishes itself by employing a global optimization strategy for bipartite matching, which eliminates the need for traditional non-maximum suppression during the detection process. By leveraging multi-scale feature extra

pdf2htmlEX is a PDF to HTML converter that transforms documents into web pages while preserving the original layout, fonts, and formatting. It functions as a layout engine and text extractor, mapping PDF coordinate data to HTML and CSS to maintain visual fidelity. The tool converts PDF content into searchable and selectable native HTML text by embedding original document fonts. It maintains document interactivity by preserving internal links, bookmarks, and outlines, converting them into functional web navigation. The conversion process supports flexible output structures, allowing documents

A fast, helpful, and open-source document parser

BentoPDF is a browser-based document toolkit designed for local-first PDF manipulation, conversion, and metadata management. By executing all file processing tasks directly within the browser sandbox, the application ensures that sensitive data remains on the user's device and is never uploaded to or stored on external servers. The platform distinguishes itself through a modular architecture that supports dynamic remote script loading and the integration of external processing engines. Users can extend the core functionality by connecting third-party libraries, which are executed as compiled

Paperless is a self-hosted document management system designed to digitize, index, and archive paper documents. It functions as an optical character recognition system that converts scanned images and PDFs into a searchable digital library, providing a web-based interface for querying and retrieving documents from a database. The system features an automated file ingestion pipeline that monitors specific directories and email inboxes to process and import documents without manual uploading. To maintain a private archive, it includes on-disk encryption for sensitive files and the ability to or

Papra is a self-hosted document management system designed for digital archiving, organization, and retrieval. It serves as a centralized platform for storing files with a focus on security, providing an encrypted file archive using AES-256-GCM and a programmatic interface for managing documents and metadata via a REST API, SDK, and command line tools. The system distinguishes itself through an automated document ingestion engine that imports files via email forwarding, monitored folders, and webhook listeners. It further enhances discoverability by acting as an OCR document indexer, extracti

This project is an educational course and technical blueprint for building production-ready retrieval-augmented generation systems. It provides a curriculum and implementation strategies for designing agentic workflows, containerized AI infrastructure, and retrieval pipelines using large language models. The materials focus on agentic design patterns, utilizing state-based decision nodes to rewrite queries and grade retrieved documents. It differentiates its approach by providing a deployment framework for managing databases, search engines, and API services through container orchestration.

Parallel.js is a JavaScript library for running computational tasks concurrently across background worker threads and multi-core environments in browsers and Node. It wraps web worker management into a framework that offloads heavy computations without blocking the main event loop. The library initializes parallel jobs by wrapping serializable data in memory and configuring worker threads, execution timeouts, and synchronous fallback behavior. It supports mapping functions across datasets and reducing dataset values to scalar results by distributing work across separate threads. Operations ex

SQLiteStudio is an open-source graphical tool for browsing, editing, and managing SQLite database files. It combines a full-featured SQL editor with syntax highlighting, a visual database schema designer for creating entity-relationship diagrams, and a plugin-based extensibility platform that allows adding custom functionality through C/C++, JavaScript, Tcl, or Python. The application distinguishes itself through its multi-language scripting engine, which embeds JavaScript, Tcl, and Python interpreters to enable user-defined functions and scripts within SQL queries. It supports encrypted data

Tablesaw is a Java dataframe library designed for manipulating, filtering, and aggregating structured data. It serves as a toolkit for statistical analysis, data visualization, and machine learning execution within the Java Virtual Machine. The project provides specialized tools for computing descriptive statistics and generating cross-tabulations. It includes a visualization library for creating histograms and scatter plots, as well as a framework for executing linear regression, clustering, and classification tasks through integration with statistical libraries. The library covers a broad

AutoRAG is an automation layer and optimization tool for retrieval-augmented generation. It provides a framework for measuring pipeline performance through an evaluation system and an automated search strategy that identifies the most effective combinations of retrieval and generation modules. The system distinguishes itself through AutoML-style optimization, using hyperparameter grid searches and automated trials to find the highest performing architectural configuration for a specific dataset. It includes a specialized dataset generator that creates synthetic question-answer pairs and groun