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Alternatives

Products that do what WisPaper does

Screen 1,000 papers to just 20 core studies

  1. 1

    Discover, read, write and manage research with ease using AI

    2024 · paperguide.ai

  2. 2
    Wispr Flow2,737

    Speak naturally, write perfectly & 3x faster in every app

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  3. 3

    AI dictation that turns messy speech into polished text.

    Feb 2026 · wisprflow.ai

  4. 4

    Meeting notes that get the details right.

    Aug 2026 · wisprflow.ai

  5. 5NI

    Understanding scientific articles can be tough, even in your own field. Trying to comprehend articles from others? Good luck. Enter, Now I Get It! I made this app for curious people. Simply upload an article and after a few minutes you'll have an interactive web page showcasing the highlights. Generated pages are stored in the cloud and can be viewed from a gallery. Now I Get It! uses the best LLMs out there, which means the app will improve as AI improves. Free for now - it's capped at 20 articles per day so I don't burn cash. A few things I (and maybe you will) find interesting: * This is…

    Feb 2026 · nowigetit.us

  6. 6

    140 character summaries of interesting research papers.

    2015

  7. 7
    TLDR This362

    Automatically summarize any article or webpage in a click.

    2019

  8. 8
    SciSpace404

    Your AI assistant to discover and understand research papers

    2022

  9. 9
    DeepTutor179

    Paper reading assistant with DEEPER understanding

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  10. 10BA
  11. 11PR
  12. 12

    A powerful browsing application to collect and share info

    2014

  13. 13

    Visualizing daily LLM papers

    2024

  14. 14
    TLDRead132

    SparkNotes for research articles - a COVID initiative.

    2020

  15. 15
    Outread55

    Read 15-minute summaries of cutting-edge research papers.

    2024

  16. 16
    Papermark103

    A better way to track what you’re reading

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  17. 17

    Generate AI summaries for research papers and articles

    2022

  18. 18

    AI Reading Assistant

    2024

  19. 19UD

    We can now build drastically higher quality search because we can use LLMs in algorithms that mimic a human's systematic research process, instead of just roughly recommending results based on semantic embeddings or term frequency. We built a deep search LLM pipeline that takes a few minutes to carefully search all the scientific literature. You describe your complex goal, as you would to a colleague. Then, we carefully search 200M+ papers. We classify the preliminary results with GPT-4. We then adapt the search goals based on relevant/irrelevant papers uncovered and continue searching,…

    2024 · undermind.ai

  20. 20WB

    Over the past year, we’ve been frustrated with how clunky it is to manage research papers. So we built Ontosyn, a modern research paper reader, with clean ui, better in paper navigation (bookmarks, jumping back up after clicking on a reference), an integrated ai chat with useful tools such as recommending relevant papers that you can directly add to your library, and, of course, library functionality to keep everything organized. We launched a closed alpha last week, and our first users are quite pleased with it. One user asked for author-based search for paper recommendations yesterday, and…

    Oct 2025 · ontosyn.com

  21. 21

    Skip reading and let AI summarize it in a video for you

    2024

  22. 22

    Compare multiple papers in seconds.

    2025

  23. 23

    Making Research Accessible, Effortless and Enjoyable!

    2025

  24. 24HA

    Hi all, I find literature searches to be slow and despite all the tools nowadays, it is difficult to map out vast areas of research and then connect my ideas to what I’m trying to do (e.g. writing a review, learning something new, planning a new project, assignments, etc). Some of my peers and teachers also found this to be a problem so I built this MVP app to help people not only leverage AI search capabilities but also go on to connect their ideas, map out research projects, cite various results and organise their “stream of consciousness” as they work. I’d love to get some feedback on it…

    2025 · hexle.ai

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