NameQuick
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socketify.py
NameQuick is a native macOS app that turns unclear filenames into useful, consistent names based on file contents. It handles PDFs, scans, images, screenshots, Pages files, and Microsoft Office documents across more than 30 formats, with built-in OCR for scanned documents.
Choose Smart Rename for quick AI suggestions or build reusable Presets with your own templates and instructions. Process files manually, monitor folders such as Downloads for new arrivals, rename automatically or review every suggestion, and organize results into the right folders with rules. Content Search finds files by words inside them, while history and one-click undo keep changes reversible.
NameQuick supports two AI setups. The Managed plan works without API keys and routes encrypted processing through European Union servers. The Self-Managed license supports your own OpenAI, Anthropic Claude, Google Gemini, or OpenRouter key, plus local models through Ollama, LM Studio, and MLX. Files are processed only to generate names, are not permanently stored, and are never used for model training.
Built for freelancers, founders, operations teams, bookkeeping workflows, researchers, designers, consultants, and anyone who manages large collections of local files on a Mac.
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NameQuick's answer
NameQuick combines content-aware AI renaming, reusable naming Presets, folder monitoring, file organization, and content search in one native macOS workflow. It reads more than 30 file formats, including scanned documents through built-in OCR. Users can choose a managed service with no API-key setup, bring their own OpenAI, Claude, Gemini, or OpenRouter key, or run local models through Ollama, LM Studio, and MLX. Every rename is tracked and can be undone.
NameQuick's answer
Choose NameQuick when filenames need to reflect what is actually inside each file, not only fixed text replacements or sequence numbers. It can rename different documents in the same batch with individually useful names, apply a consistent template, watch folders for new arrivals, and organize files with rules. It is built specifically for macOS and supports managed, bring-your-own-key, and fully local AI workflows. Review mode and one-click undo keep users in control.
NameQuick's answer
NameQuick is for Mac users who regularly handle PDFs, scans, screenshots, images, invoices, receipts, research, client documents, and project files. Typical users include freelancers, founders, bookkeeping and operations teams, consultants, designers, researchers, real-estate professionals, domain investors, and small businesses that need consistent, searchable filenames without adopting a full document-management system.
NameQuick's answer
NameQuick was created to solve a common macOS problem: useful files arrive with names such as Scan0042.pdf, IMG2847.jpg, or finalFINALv3.pdf, then become difficult to find and file consistently. The product began as an AI-assisted renamer and grew into a complete local file workflow with naming Presets, OCR, watch folders, content search, organization rules, rename history, and multiple AI options. It is developed by Synthropy in the Netherlands.
NameQuick's answer
NameQuick is a native macOS application. Its document pipeline supports more than 30 formats and includes OCR for scanned PDFs and images. AI processing can use NameQuick Managed, OpenAI, Anthropic Claude, Google Gemini, OpenRouter, or local models through Ollama, LM Studio, and MLX. Managed traffic is encrypted with TLS and routed through servers in the European Union.
NameQuick's answer
Based on our record, socketify.py seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
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