Search Results for "text parsing"
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Showing 257 open source projects for "text parsing"
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text-extract-api
Document (PDF, Word, PPTX ...) extraction and parse API
...Instead of requiring developers to integrate multiple document parsing libraries individually, the system centralizes text extraction capabilities into a unified API that standardizes the output. The platform supports automated processing pipelines that detect file types and apply the appropriate extraction method to obtain the most accurate text representation possible. It can be integrated into document analysis systems, knowledge retrieval tools, and AI pipelines that rely on clean textual data. ... -
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YAML
JavaScript parser and stringifier for YAML
yaml is a definitive library for YAML, the human friendly data serialization standard. This library supports both YAML 1.1 and YAML 1.2 and all common data schemas, passes all of the yaml-test-suite tests. It can accept any string as input without throwing, parsing as much YAML out of it as it can, and supports parsing, modifying, and writing YAML comments and blank lines. The library is released under the ISC open source license, and the code is available on GitHub. It has no external... -
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TextFSM
Python module for parsing semi-structured text into python tables
TextFSM is a Python library created by Google that provides a template-based state machine engine for parsing semi-structured text. It is particularly useful for extracting structured data from command-line interface (CLI) outputs, such as those from network devices, routers, and switches. By defining parsing logic through reusable template files, TextFSM transforms unstructured text into structured data like lists or tables without requiring complex regular expression code. ... -
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tree-sitter
An incremental parsing system for programming tools
Tree-sitter is a parser generator tool and an incremental parsing library. It can build a concrete syntax tree for a source file and efficiently update the syntax tree as the source file is edited. General enough to parse any programming language. Fast enough to parse on every keystroke in a text editor. Robust enough to provide useful results even in the presence of syntax errors. Dependency-free so that the runtime library (which is written in pure C) can be embedded in any application. ... -
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LlamaParse
Parse files for optimal RAG
LlamaParse is a GenAI-native document parser that can parse complex document data for any downstream LLM use case (RAG, agents). Load in 160+ data sources and data formats, from unstructured, and semi-structured, to structured data (API's, PDFs, documents, SQL, etc.) Store and index your data for different use cases. Integrate with 40+ vector stores, document stores, graph stores, and SQL db providers. -
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markdown-it
Markdown parser, done right. 100% CommonMark support, extensions
markdown-it is a fast and extensible JavaScript-based Markdown parser designed to convert Markdown text into HTML while maintaining strict compliance with the CommonMark specification and offering additional syntax enhancements. It is widely used in web applications, documentation tools, and content platforms due to its high performance and flexibility. The library is built with a rule-based parsing system that allows developers to customize or replace syntax rules, making it adaptable to a wide variety of use cases. ... -
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LiteParse
A fast, helpful, and open-source document parser
LiteParse is an open-source lightweight parsing library designed to extract structured data from unstructured text using large language models in an efficient and cost-effective manner. It focuses on simplifying the process of turning raw text into structured outputs such as JSON by providing a streamlined interface for prompt-based parsing. The system is designed to minimize overhead, making it suitable for applications where performance and cost are critical considerations. ... -
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GROBID
A machine learning software for extracting information
GROBID is a machine learning library for extracting, parsing, and re-structuring raw documents such as PDF into structured XML/TEI encoded documents with a particular focus on technical and scientific publications. First developments started in 2008 as a hobby. In 2011 the tool has been made available in open source. Work on GROBID has been steady as a side project since the beginning and is expected to continue as such. Header extraction and parsing from article in PDF format. The... -
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npm-pdfreader
Parse text and tables from PDF files.
npm-pdfreader is a Node.js library for reading text and parsing tables from PDF files. It supports tabular data with automatic column detection and rule-based parsing, making it useful for extracting structured data from PDFs. -
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ChordSheetJS
A JavaScript library for parsing and formatting chords and chord sheet
ChordSheetJS is a JavaScript library for parsing, formatting, and transposing chord sheets. It supports various chord sheet formats and provides tools for rendering and manipulating chord and lyric data. -
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ELisp Tree-sitter
Tree-sitter bindings for Emacs Lisp
...The minor mode tree-sitter-mode provides a buffer-local syntax tree, which is kept up-to-date with changes to the buffer’s text. Run M-x tree-sitter-hl-mode to replace the regex-based highlighting provided by font-lock-mode with tree-based syntax highlighting. -
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Ksoup
Ksoup is a lightweight Kotlin Multiplatform library for parsing HTML
Ksoup is a lightweight Kotlin Multiplatform library for parsing HTML, extracting HTML tags, attributes, and text, and encoding and decoding HTML entities. -
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pg_textsearch
PostgreSQL extension for BM25 relevance-ranked full-text search
The pg_textsearch project is a PostgreSQL extension designed to enhance full-text search capabilities within the database environment. It provides tools and optimizations for indexing and querying textual data efficiently, enabling developers to build search functionality directly into their applications without relying on external search engines. The extension integrates with PostgreSQL’s native indexing mechanisms, allowing for scalable and performant search operations across large... -
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CommandLineUtils
Command line parsing and utilities for .NET
CommandLineUtils is a library that helps developers implement command line applications in .NET. The primary goal of the library is to assist with parsing command line arguments and executing the correct commands related to those arguments. The library also provides various other utilities such as input helpers. This project helps you create command line applications using .NET. It simplifies parsing arguments provided on the command line, validating user inputs, and generating help text. ... -
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RAG Anything
RAG-Anything: All-in-One RAG Framework
...The system uses a multi-stage pipeline (e.g., document parsing, content analysis, knowledge graph construction, intelligent retrieval) so queries can navigate across modalities with deeper understanding and relevance. -
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Helix
A post-modern modal text editor
Helix is a modal (Kakoune/Vim‑inspired) terminal-based text editor written in Rust. It features modern modal editing, multiple selections, smart syntax highlighting, and built-in language server (LSP) integration leveraging tree‑sitter for fast, incremental parsing and code intelligence. -
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commonmark-java
Java library for parsing and rendering CommonMark (Markdown)
Java library for parsing and rendering Markdown text according to the CommonMark specification (and some extensions). Provides classes for parsing input to an abstract syntax tree of nodes (AST), visiting and manipulating nodes, and rendering to HTML. It started out as a port of commonmark.js, but has since evolved into a full library with a nice API. -
18
zpdf
Zero-copy PDF text extraction library written in Zig
zpdf is a high-performance PDF text extraction library written in Zig that focuses on speed, low overhead, and modern parsing techniques. It leans heavily on memory-mapped file reading and zero-copy patterns where possible, so it can scan large PDFs without repeatedly copying data around in memory. The library supports streaming extraction using efficient arena allocation, making it well suited for workloads that need to process big documents quickly or in batches. -
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Markdig
A fast, powerful, CommonMark compliant, extensible Markdown processor
A fast, powerful, CommonMark compliant, extensible Markdown processor for .NET. Very fast parser and HTML renderer (no-regexp), very lightweight in terms of GC pressure. Abstract Syntax Tree with precise source code location for syntax tree, useful when building a Markdown editor. Check out MarkdownEditor for Visual Studio powered by Markdig! Even the core Markdown/CommonMark parsing is pluggable, so it allows to disable built-in Markdown/Commonmark parsing (e.g Disable HTML parsing) or... -
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OpenOCR
An Open-Source Toolkit for General-OCR Research and Applications
OpenOCR is an open-source General OCR toolkit developed by the OCR team at Fudan University for research and real-world document processing applications. It provides a unified platform for text detection, text recognition, formula recognition, table recognition, and document parsing. Built on advanced OCR technologies such as SVTRv2 and UniRec-0.1B, OpenOCR delivers high accuracy while maintaining efficient inference performance. The toolkit supports both Chinese and English content, making it suitable for multilingual document analysis. ... -
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amrlib
A python library that makes AMR parsing, generation and visualization
A python library that makes AMR parsing, generation and visualization simple. amrlib is a python module designed to make processing for Abstract Meaning Representation (AMR) simple by providing the following functions. Sentence to Graph (StoG) parsing to create AMR graphs from English sentences. Graph to Sentence (GtoS) generation for turning AMR graphs into English sentences. A QT-based GUI to facilitate the conversion of sentences to graphs and back to sentences. Methods to plot AMR graphs... -
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dots.ocr
Multilingual Document Layout Parsing in a Single Vision-Language Model
dots.ocr is a cutting-edge multilingual document parsing system built on a unified vision-language model that combines layout detection, text recognition, and structural understanding into a single architecture. Unlike traditional OCR pipelines that rely on multiple specialized components, dots.ocr integrates these processes end-to-end, reducing error propagation and improving consistency across tasks. -
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Umi-OCR
OCR software, free and offline
Umi-OCR is a free and open-source optical character recognition (OCR) tool designed to provide fast, offline text extraction from images, screenshots, PDFs, and more without requiring a network connection. It includes a highly efficient offline OCR engine with built-in multilingual recognition libraries, so users can extract text across multiple languages with high accuracy directly on their machines. The software supports flexible usage patterns including screenshot capture OCR, batch processing of large sets of images or documents, PDF parsing, QR code detection, and layout-aware paragraph output. ... -
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Extractous
Fast and efficient unstructured data extraction
Extractous is a Rust-based unstructured data extraction library focused on fast local parsing of documents and other content-heavy files. Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. ... -
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Introduction-NLP
Detailed notes on HanLP's new book, "Introduction to Natural Language"
...The material begins with basic concepts and Chinese word segmentation before progressing into statistical sequence models. Later chapters cover part-of-speech tagging, named entity recognition, information extraction, text clustering, text classification, dependency parsing, and deep learning. Algorithms discussed include hidden Markov models, perceptrons, conditional random fields, Naive Bayes, and support vector machines. Many chapters link to executable code examples and datasets for hands-on study. The repository is designed to help learners organize the book’s key ideas into a practical reference for Chinese NLP work.
