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Verify every reference against academic databases in seconds.Open
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docAnalyzer has been rebuilt around a bigger idea: you leave with files, not just an answer. When we first launched, docAnalyzer was a way to chat with your documents. Now the answer is the start. Ask across hundreds of sources and the workspace builds what you need out of that work: a report, a spreadsheet, a slide deck you can download and reuse. What’s new: - Chat to deliverable: compose answers into PDF, Word, Excel, slides, charts, and diagrams, and reuse any output in a later turn. - A workspace, not a chat box: outputs build across turns instead of resetting. - Workflows are now agentic: they run multiple rounds of search and read across your whole library instead of a single pass, with new ones added like SEO metadata and a Humanizer. - Three chat modes, one engine: a new Ask docAnalyzer mode plans and runs work across your whole workspace, alongside Focus chat (deep analysis on a chosen dataset) and Co-work chat (shape a draft in a canvas). - A rebuilt interface, with visibility into what the agent is doing while it works. If you knew docAnalyzer as “chat with your documents,” it is worth another look. The Community plan is free, and your first session is ready in about 30 seconds.
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JB🙏 96 karmaOct 17, 2024@PapersI’ve been using it for a month now and I have decided to keep it for a year. There definitely are some kinks they can still work out like file management, but it’s very good at it’s core function: it generally does a good job answering questions and most times identifies PDFs automatically and correctly. The browser plugin works great, and it’s very nice that Papers allows you to add your university’s library API so you can automatically download PDFs that are accessible through your institution (sometimes it refuses to download some papers, so you just have to downlow it yourself and manually add it). The iPad and Android apps are serviceable. Every once in a while it will mess up the PDF identification, especially with papers from either very old sources or online-only journals. Things they must work on: * A much better system to annotate PDFs (the post-it type notes are cumbersome). * Introduce a notepad attached to each PDF or some way to easily link and save the AI’s output to the PDF. Currently, you have to add a little post it note and then paste the text there. * Keep the AI answers available after closing the documents. If you close the document by mistake or have several open and wish to close some, the ai conversation will be reset. * I REALLY wish that you could get citations and links to where the info was from extracted from PDFs. Currently, I have found Coral.ai does a much better job of showing you where the info came from and it even highlights it for you. Give it a try, their 30-day no credit card needed trial allowed me to truly test it, and now I’m a yearly subscriber looking forward for new additions and releases.
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Great idea, but does not find what you are looking for-about the same as Google Scholar
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Search real papers and write literature reviews without AI hallucinations.Open
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AI researcher: Questions to literature reviews from 200M+ papers.OpenThis is a great tool for researches like us and our research community, it makes the literature review so easy. all the data is extracted automatically related to our query along with citation. Truly commendable tool and recommendable to those who are not using it till now. -
It made my life so easy! It used to take me days sometimes to find the right information, tediously reading through papers to find the relevant data. Epsilon automated the entire process for me. Now, I find the relevant information in just a couple searches
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After not even ONE try, it asks for Pro. No success, just imo developer hyper-greed. Avoid!
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Not particularly useful and expensive at the same time. Don’t waste your time or money.
