Search Results for "text extraction"
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Showing 11 open source projects for "text extraction"
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pdfly
CLI tool to extract (meta)data from PDF and manipulate PDF files
A Python library designed for manipulating PDF files with functionalities for extraction, transformation, and document generation. -
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OCRBase
MD/.JSON Document OCR and structured data extraction API
OCRBase is a self-hostable document OCR and structured extraction system built to turn PDFs into machine-usable outputs at scale, aiming to bridge the gap between raw text extraction and production-ready pipelines. Instead of treating OCR as a one-off script, it presents an API-driven workflow where documents are submitted as jobs and processed through a queue-based architecture that can handle high throughput. -
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Unredact
A simple tool for reading in poorly redacted documents
Unredact is a specialized tool that attempts to reconstruct redacted or obscured text in images, PDFs, or screenshots using a combination of image processing and generative AI inference to suggest plausible completions of blurred, black-boxed, or jumbled content. Unlike traditional optical character recognition (OCR), which only reads visible text, Unredact focuses on inferring missing content where redaction has been applied by analyzing surrounding context, font characteristics, and... -
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Nano PDF Editor
Edit PDF files with Nano Banana
Nano PDF Editor is a minimalist, portable PDF viewer and toolkit that focuses on simplicity, speed, and ease of integration for applications that need basic PDF rendering without heavy dependencies. It provides core functionality such as page navigation, zooming, text selection, and rendering directly to native graphics surfaces, making it suitable for lightweight PDF viewing scenarios on desktop or embedded platforms. Designed to be easily embedded into larger software projects, Nano-PDF... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.
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py-pdf-parser
A Python tool to help extracting information from structured PDFs
py-pdf-parser is a Python tool designed to help extract information from structured PDFs. It provides a simple interface to define parsing rules and extract data from PDF documents. -
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QXmlEdit
Simple XML editor and XSD viewer
QXmlEdit is a simple XML editor written in qt. Its main features are unusual data visualization modes, nice XML manipulation and presentation and it is multi platform. It can split very big XML files into fragments, compare XML and XSD files, and has a graphical XSD viewers. Project site: http://qxmledit.org Source code hosted at GitHub (moved from Google Code) https://github.com/lbellonda/qxmledit Report issues at: https://github.com/lbellonda/qxmledit/issues Discussion... -
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iText®, a JAVA PDF library
PDF Library for Developers
iText is an open-source PDF library available for Java and .NET (C#). iText allows you to effortlessly generate and manipulate standards-compliant PDF documents with a powerful and feature-rich SDK. With iText, you can create archivable and accessible PDFs, split and merge documents, fill and flatten forms, digitally sign documents, and more. iText add-ons enable additional functionality, such as PDF creation from HTML templates, secure redaction, OCR, and much more. The latest... -
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Detexter
Detexter is an app designed to extract text from PDF files.
Detexter lets you extract text from multiple PDF files. Detexter uses the PDFBox library for its text extraction. -
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10
Large Text File converter
Java Based Heavy-duty utilitity to process large delimited text files
...Another strength of this tool is in its configurability, it's design allows to generate as many output files as required from one input file, and at every row of input file validation, extraction, conversion can be applied. Use case Example: legacy system is to be replaced with new advanced system with different DB schema, and the data provided as 100GB size of delimited text data which is to be inserted in 10 different tables of new system DB after validation,date format conversion, rearrangements, and MD5 hashing implementation. -
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bint
Converts intensity text files to binary for fast subsetting
...Either the X & Y intensities for creating cluster plots or Log R Ratio and B Allele Frequencies for CNV detection. Extracting the data for individual SNP/CNV markers or individual samples was slow grep/awk'ing the text files exported from the genotyping run (e.g. Illumina final report files). bint converts the text representation of the intensity float data to into a IEEE754 indexed binary file for rapid extraction of subsets of the data. In theory bint could be used for any large tables of float data.
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