Also try different libraries to parse the pdf txt and do summaries of those More on reddit.com

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Notebook lm from Google. https://notebooklm.google.com/ More on reddit.com

Nice comprehensive list, I've been down this rabbit hole myself recently. One thing I'd add is that the real magic happens when you can integrate these tools into your actual workflow rather than just having them as standalone apps. For example, I've been using Braini AI for processing video content and it's been solid for technical stuff since it can handle complex topics without getting confused like some of the simpler summarizers do. The key thing I learned from testing all these tools is that context retention matters way more than just basic summarization. Tools like getrecall and NotebookLM are good at this but you really need to feed them quality input to get quality output. Also worth mentioning that if you're dealing with technical content or need to maintain context across multiple sessions, make sure whatever tool you pick can actually remember previous conversations and build on them. Most of the quick summarizers like Eightify are great for surface level stuff but they fall apart when you need deeper analysis or want to connect concepts across different sources. The other thing nobody talks about is how these tools handle different accents and audio quality, which can make or break the experience if you're processing podcasts or lecture recordings regularly. More on reddit.com