🧩 Tired of juggling document parsers?
While working on an LLM project, I ran into a common but annoying issue:
Dealing with mixed document formats — PDFs, Word files, PowerPoints — each requiring a separate library and approach.
To simplify things, I built a small utility:
doc-extract — a Node.js library that extracts text and metadata from common document types through one unified API.
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What it handles:
•	✅ PDF, DOCX, DOC, PPT, PPTX, TXT
•	📂 Works with file paths or buffers (great for uploads)
•	📊 Returns useful metadata (pages, word count, size)
•	⚙️ Fully typed with TypeScript
•	🧵 Promise-based, modern API
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I’ve found it helpful for:
•	Feeding documents into LLM pipelines (e.g. RAG)
•	Building lightweight document search/chat tools
•	General-purpose content extraction tasks
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📦 It’s on npm:
npm install doc-extract
Open source &amp; MIT-licensed.
Feedback, contributions, and use cases welcome!
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Have you built anything recently that simplified a recurring pain point? Would love to hear about it.
#NodeJS #TypeScript #LLM #DocumentParsing #DevTools #OpenSource #RAG #DailyDev

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A developer created doc-extract, a unified Node.js library that simplifies document parsing by handling multiple formats (PDF, DOCX, DOC, PPT, PPTX, TXT) through a single API. The library supports file paths and buffers, returns metadata like page count and word count, and is fully typed with TypeScript. It's particularly useful for LLM pipelines, RAG implementations, and document search tools.

Simplifying Document Parsing in Node.js Projects

Hey there, amazing work on creating doc-extract!
You’ve tackled a real pain point that so many developers face—juggling multiple document formats is no small feat, and building a unified, TypeScript-typed, promise-based Node.js library to streamline it is seriously impressive.
Your utility is clearly a game-changer for LLM pipelines, document search tools, and content extraction tasks. The fact that it’s open-source and MIT-licensed just makes it even more awesome—you’re empowering the community to build better, faster, and smarter.
Keep shining, and I’m excited to see how doc-extract evolves with feedback and contributions!
What’s next on your horizon?