All the best in the New Year – but for us, it only begins now. While the world was celebrating with fireworks, champagne, and nostalgic concerts featuring artists no one remembered they missed, we were deep in the underground, tirelessly working on something far more exciting (at least for us). The result? DocWire SDK 2025.01.22 – a release packed with smarter, faster, and more powerful improvements for all your data extraction, document processing, and file format detection needs. What’s New?? - Content Type Detection, Now Smarter Than Ever – Our improved file signature analysis ensures content recognition is faster and more accurate. No more guesswork.? - More Flexible Parsing Chains – With the new `operator|=`, extending parsing chains has never been smoother. It’s like giving your data workflows a turbo boost.? - Codebase Refactor for Better Performance – We relocated file format and content detection to a dedicated library, streamlined our parsing chain classes, and optimized API design to make everything faster, leaner, and easier to maintain. While others were nursing their post-New Year’s headaches, we were making DocWire SDK even better. Now it’s your turn to put it to work. Download the latest version here:https://lnkd.in/dFUe_aB7 Let us know what you think! Which feature are you most excited about? Or were you also secretly coding on New Year's Eve? #C++#CPP #softwaredevelopmenttools #fileformatdetectionAPI #documentdataextractionSDK #softwareperformanceoptimization #coderefactoringbestpractices #contenttypedetectioninC++ #efficientparsingchainimplementation #dataprocessinglibrary #opensourcedocumentprocessingSDK #softwaredevelopmentnewsandupdates #Cpplibrariesfordocumentparsing #developerlife #newyearnewrelease
关于我们
DocWire SDK: Award-winning modern data processing in C++20. SourceForge Community Choice & Microsoft support. AI-driven processing. Supports nearly 100 data formats, including email boxes and OCR. Boost efficiency in text extraction, web data extraction, data mining, document analysis. Offline processing is possible for security and confidentiality
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https://github.com/docwire/docwire
DocWire 的外部链接
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- c++20、c++、cpp、sdk、etl、ocr、vcpkg、api、tensorflow、cli、data-processing、text-extraction-from-image、data-extraction、artificial-intelligence、machine-learning、data-extraction、parsing、text-mining、shell和sdk
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DocWire SDK
文本挖掘软件
DocWire SDK: Award-winning modern data processing in C++20. SourceForge Community Choice & Microsoft support. AI-driven processing. Supports nearly 100 data formats, including email boxes and OCR. Boost efficiency in text extraction, web data extraction, data mining, document analysis. Offline processing is possible for security and confidentiality
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主要
US,Wyoming
动态
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Docwire 2024.12.04 new release in the words of the poet. Who is rabbit. A CodeRabbit Errors gracefully caught and tamed, XmlStream and OCRParser, their handling acclaimed. Stringification features, now standing alone, Non-fatal parsing errors, their presence known. Documentation clearer than before, Our error handling reaching new shore. Check the details of our hard work : https://lnkd.in/dzgAeZhq #cpp20 #opensource #cppsdk #cppdataprocessingsdk
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???Exciting Updates to the DocWire SDK! Our latest release brings significant improvements to the SDK, focusing on?code organization,?modernization, and?build optimization. ??Highlights: Refactored key implementations for better?modularity?and?compilation times. Centralized logging into dedicated files for?easier maintenance. Streamlined dependencies and embraced?modern C++ practices?like?override. We're committed to delivering a cleaner, faster, and more maintainable codebase. Check out the full breakdown on Dev.to! ?? https://lnkd.in/dppaBgST #C++ #Refactoring #SDK #DevCommunity #dataprocessingsdk
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Dear DocWire supporters. The new release of our product introduces significant enhancements to error handling across various components of the DocWire SDK. A new section in the documentation outlines the comprehensive error handling framework, detailing features such as chained exceptions, type-safe context values, and secure error messages. Additionally, multiple source files have been updated to implement more structured error reporting, including the introduction of specific error types and improved context for exceptions. The changes aim to provide clearer diagnostics and facilitate better debugging practices throughout the SDK. New Features Introduced new error tag types such as?uninterpretable_data?and?program_corrupted?to enhance error categorization. Added hashing functionalities of error types Refactor Enhanced error handling mechanisms throughout the codebase, including updates to existing error types and the introduction of new ones. Improved error messages for various parsing methods across multiple file types, enhancing clarity for debugging. Documentation Updated?README.md?to include detailed descriptions of the error handling framework. Again, shoutout to CodeRabbit poem ?? ?? "In the land of code, where errors do roam, A new framework shines, guiding us home. With tags and types, our troubles untwine, Robust handling now, in each line we define. So hop with joy, let the debugging commence, For clarity reigns, and we leap with confidence!" ?? Check our new release : https://lnkd.in/dkajVCvB #cpp20 #cpp #cppsdk #cppframework
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**?? Reflecting on Cybersecurity Awareness Month**: Data security is top-of-mind as threats grow, but companies need practical solutions that meet their unique challenges. Organizations like Tausight, Cleartrail, Quantios, and PwC Singapore rely on **Docwire SDK** for secure, multi-format data processing and compliance support. From healthcare to finance, Docwire SDK empowers teams to manage sensitive data confidently, supporting privacy with encryption, local AI processing, and regulatory readiness. Ready to learn more about how secure data processing drives better cybersecurity? https://lnkd.in/d4aMagd4 #CybersecurityAwareness #DataSecurity #DocwireSDK #ComplianceSolutions #SecureDataProcessing
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?? Unlock the True Potential of Your AI Projects! ?? Struggling to make sense of messy, unstructured data? Looking for a way to bridge the gap between raw information and AI-powered insights? Docwire SDK is here to transform how enterprises handle data processing for AI. From integrating advanced AI models to building SaaS-ready solutions, we've crafted a powerful tool to meet the evolving needs of businesses across industries. Discover how we can help you turn your data into a valuable asset for AI-driven success. ?? Ready to dive deeper? Read the full article on Dev.to and explore the future of AI data solutions: https://lnkd.in/dRD9PQcR #AI #MachineLearning #DataProcessing #DocwireSDK #ArtificialIntelligence #DataTransformation #UnstructuredData #SaaS
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We joined the #MicrosoftforStartups program back in March 2021, and honestly, we’re super grateful that Microsoft saw something in us. ?? We didn’t have a big corporate background or fancy rules. Just a few of us, in jeans, working on some pretty beat-up laptops. What we did have was a solid product, and that’s what got us in. Now, we’re looking for some crazy talent to jump on board and help us make the most of this MS Startups journey. If you’re up for a wild ride with a team that loves what we do, let’s chat! ?? #MicrosoftForStartups #StartupJourney #CplusplusDevelopment #cpp20 #CppSDK #dataprocessing #JoinOurTeam
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The Advantages of Locally Run AI Models: Security, Privacy, and Control As AI and machine learning reshape industries, data privacy and security concerns become increasingly critical—especially when data is processed by third-party services. Locally installed AI models offer a secure and efficient alternative, providing several key advantages: 1. Data Security Running AI models locally ensures sensitive information never leaves your environment, reducing the risk of data exposure or leaks when using external servers. 2. Preventing Data Leaks?? Local models keep data fully under your control, eliminating the reliance on external providers and mitigating risks of breaches or unauthorized access. 3. Privacy Control With local AI models, companies retain complete control over their data. All processing happens in-house, ensuring compliance with data privacy regulations and preventing third-party access. 4. Faster Processing By avoiding external servers, locally run models reduce latency and enable faster, real-time processing—ideal for tasks like natural language processing (NLP) or text analysis. 5. Customization and Flexibility Locally installed AI models offer more control and customization. You can tailor AI solutions to fit your needs, while ensuring that proprietary data is handled securely. At Docwire, we’ve already integrated models like Flan-T5 into our Docwire SDK for tasks such as NLP, sentiment analysis, and text classification, all processed locally. We are actively working on integrating more locally run models, like LLaMA, to further enhance our AI capabilities. Our goal is to provide companies with advanced AI solutions that prioritize security, privacy, and performance, all while maintaining full control over their data. Check out our latest updates on [GitHub](https://lnkd.in/d63C2HKH), and let us know how we can help meet your custom requirements! #DocwireSDK #cpp #cpp20 #dataprocessing #datasecurity #flant5 #localai #nlp #etl #opensource #developertools
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Down the memory lane (found in the attic) : from a small text extraction library to a large AI-supported C++20 data processing SDK. 7 years ago we were surprised to hear from our friends "hey, some university is writing about your doctotext". 'Some university' is the University of Toronto, and in fact, three gentlemen: Kresimir Duretec (Vienna University of Technology), Andreas Rauber (Vienna University of Technology) and Christoph Becker (University of Toronto) did a paper comparing text extraction tools. In this case, Apache Tika, Xpdf and our Doctotext were chosen for comparison. To our surprise and delight, DoctoText stood out in the University of Toronto benchmark thanks to its strengths in maintaining text order and accuracy during extraction. For those interested, here is the link: https://rb.gy/5lhrob Today as DocWire, we have taken those early foundations and expanded them significantly. We now support almost 100 formats, including OCR scanned documents, email inboxes, integrate AI and NLP for enhanced text processing, and offer secure, offline functionality for sensitive data. The journey from then to now has been transformational! Learn more here : https://lnkd.in/d63C2HKH #DataProcessing #CPlusPlus #CPP20 #AI #NLP #TextExtraction #DocWireSDK #DigitalTransformation #SoftwareDevelopment #OCR #Innovation #TechJourney #DigitalPreservation #UniversityOfToronto
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???Not interested in regular updates here? We've got you covered! Dive straight into our product documentation for the latest features, technical details, and more. ?? https://lnkd.in/dqgX6Fir Stay informed your way! ?? #cpp #cpp20 #c++ #dataprocessingsdk #cppdocumentation #readthedocs