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Practically lets you upload any PDF and get back a list of the practical, actionable advice from it โ the specific things you can actually do, not a summary of what the document is about.
Most nonfiction books have 10โ15 genuinely useful "do this" moments buried across 300 pages. Practically finds them and pulls them out so you don't have to reread or dig through old highlights.
You can also chat with any uploaded PDF to ask follow-up questions, and build a knowledge base from multiple documents so you can ask questions across all of them at once โ useful if you're trying to learn a topic from several sources.
Extracted advice can be exported to PDF or Notion.
Free tier includes 3 uploads per month.
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Practically PDF's answer:
React and Vite on the frontend, Node.js and Express on the backend, OpenAI's API for the extraction and chat features, Supabase for the database, and Vercel for hosting.
Practically PDF's answer:
Practically just launched, so there aren't big-name customers to point to yet. Early users are mostly individual readers and professionals, people working through business and self-help books who want to get more out of what they read.
Practically PDF's answer:
Most AI book tools give you summaries or a condensed version of what a book is about. Practically focuses specifically on extracting actionable advice: the concrete, specific things you can actually do. There's also a Knowledge Base feature that lets you upload multiple books and chat across all of them at once, which is useful when you're trying to learn a topic from several sources rather than one book at a time.
Practically PDF's answer:
If you want a summary, there are better tools for that. Practically is for people who've already read a book (or don't have time to) and want to know what to do differently. The output isn't "this book argues that habits are important", it's a list of specific techniques, frameworks, and steps pulled directly from the text. The Notion export also means the advice actually lands somewhere in your workflow rather than getting forgotten in another app.
Practically PDF's answer:
People who read nonfiction regularly but feel like they're not getting much out of it. That's a pretty wide group: professionals, students, anyone working through a reading list, but what they have in common is that they're trying to actually apply what they read, not just finish books.
Practically PDF's answer:
I was reading a lot of nonfiction and noticing that very little of it was changing how I actually behaved. The books were good, but the advice was buried and spread across hundreds of pages of stories and research. I started manually extracting the practical parts into notes, which worked, but it was slow. So I built a tool to do it automatically. What started as a personal workflow became Practically.
Based on our record, NumPy seems to be more popular. It has been mentiond 122 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.
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - Source: dev.to / 10 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 11 months ago
AI starts with math and coding. You donโt need a PhDโjust high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Pythonโs syntax is straightforward. - Source: dev.to / about 1 year ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / over 1 year ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / almost 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
PDF.ai - Chat with any document
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
AskYourPDF - Ask Your PDF is your gateway to dynamic, interactive, and intelligent conversations with any PDF document. Ideal for researchers, students, and professionals.
OpenCV - OpenCV is the world's biggest computer vision library
ChatPDF - Chat with any PDF! Join millions of students, researchers and professionals to instantly answer questions and understand research with AI
