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Chrome Extension Revolutionizes AI File Processing with Local PDF/PPT/Doc Slicing

A new open-source Chrome extension called FeedDoc allows users to extract precise page ranges from PDFs, PPTs, and Docs and inject them directly into AI chat platforms—without uploading files to the cloud. The tool, built entirely in-browser, addresses a widespread pain point in AI workflows and has already gained traction among developers and researchers.

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Chrome Extension Revolutionizes AI File Processing with Local PDF/PPT/Doc Slicing
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Chrome Extension Revolutionizes AI File Processing with Local PDF/PPT/Doc Slicing

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  • 1A new open-source Chrome extension called FeedDoc allows users to extract precise page ranges from PDFs, PPTs, and Docs and inject them directly into AI chat platforms—without uploading files to the cloud. The tool, built entirely in-browser, addresses a widespread pain point in AI workflows and has already gained traction among developers and researchers.
  • 2Chrome Extension Revolutionizes AI File Processing with Local PDF/PPT/Doc Slicing A groundbreaking Chrome extension named FeedDoc is transforming how users interact with generative AI platforms by eliminating the tedious process of manually uploading entire documents to services like ChatGPT, Claude, and Grok.
  • 3Developed by a software engineer under the pseudonym Acceptable-Can-9719, FeedDoc enables users to select specific page ranges from PDFs, PowerPoint presentations, and Word documents—then instantly injects only those pages into the AI chat interface, all without leaving the browser or sending data to external servers.

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Chrome Extension Revolutionizes AI File Processing with Local PDF/PPT/Doc Slicing

A groundbreaking Chrome extension named FeedDoc is transforming how users interact with generative AI platforms by eliminating the tedious process of manually uploading entire documents to services like ChatGPT, Claude, and Grok. Developed by a software engineer under the pseudonym Acceptable-Can-9719, FeedDoc enables users to select specific page ranges from PDFs, PowerPoint presentations, and Word documents—then instantly injects only those pages into the AI chat interface, all without leaving the browser or sending data to external servers.

The tool, which runs entirely locally and requires no API keys or account creation, has sparked immediate interest across developer communities. According to the project’s GitHub repository, FeedDoc auto-detects the AI platform being used—whether it’s OpenAI’s ChatGPT, Anthropic’s Claude, Perplexity, Grok, or T3 Chat—and displays a contextually themed button to trigger the slicing and attachment function. This seamless integration removes the friction of copy-pasting, file uploads, and clipboard management that previously slowed down research, legal review, and academic workflows.

"I was tired of uploading 150-page PDFs to Claude just to ask about 3 pages," the developer wrote in a Reddit post detailing the project. "So I spent the weekend building something to fix it." The solution is elegantly simple: users highlight the desired pages, click the FeedDoc button, and the extension generates a new, trimmed document on the fly using browser-based libraries like PDF.js and LibreOffice.js. The resulting file is then attached directly to the chat input field as if the user had manually uploaded it—except it takes two seconds instead of two minutes.

Privacy and security are central to FeedDoc’s design. Unlike cloud-based document processors that require uploading sensitive files to third-party servers, FeedDoc processes everything within the user’s browser. No files are transmitted over the internet, making it ideal for handling confidential legal briefs, proprietary business reports, or personal academic work. The extension is open-source, with full code available on GitHub, allowing for community audits and contributions.

The timing of FeedDoc’s release coincides with broader industry trends toward localized AI processing. As highlighted in a recent MSNBC Technology report, Google Chrome has recently rolled out performance and usability enhancements aimed at reducing daily friction for power users—particularly in document handling and file management. FeedDoc builds upon these improvements, offering a specialized solution for AI-centric workflows that were previously underserved by mainstream browser tools.

While the extension is currently under review by the Chrome Web Store, users can install it manually in under two minutes by following the GitHub instructions. Early adopters have reported successful integrations across multiple platforms, though some edge cases remain, particularly with complex PowerPoint layouts and scanned PDFs. The developer is actively soliciting feedback to refine compatibility.

FeedDoc’s emergence reflects a growing movement toward user-controlled, privacy-first AI tools. As corporations and individuals alike become more wary of data leakage through cloud-based AI services, tools like FeedDoc offer a compelling alternative: powerful functionality without surrendering control. With over 1,200 GitHub stars in its first week and growing traction on Reddit’s r/OpenAI and r/MachineLearning, FeedDoc may well become the de facto standard for AI document interaction—proving that sometimes, the most impactful innovations are built not by startups, but by individuals solving their own daily frustrations.

For more information, visit FeedDoc’s official site or explore the source code on GitHub.

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