Hey IndieHackers community!
I'm thrilled to introduce Summaverse, a project I've been working on, and I'm excited to hear your thoughts and feedback.
Summaverse is an AI-powered document summarization and deep understanding platform. It's designed to simplify the way you consume complex documents, be it research papers, legal contracts, reports, or any text-heavy content.
I'm inviting you to be among the first users to try Summaverse and provide valuable feedback. Here's how you can help:
Head over to https://summaverse.com/ and give it a spin. It's free during our beta phase, and your feedback will be immensely valuable in shaping Summaverse's future.
Let's Connect or drop a comment below with your thoughts. I'm eager to hear from you and improve SummaVerse based on your feedback.
Thank you for being a part of our journey to make document understanding easier for all. Together, we can make Summaverse even more awesome!
👉 Give Summaverse a Try
I've just tested Summaverse on a university essay of mine and was pleasantly surprised.
The classification step before generating the summary feels good because even though it adds a tiny bit more friction to the process, it definitely creates a more professional feeling. (and of course I'm sure under the hood it helps with the summarization)
One thing that I would point out is that I feel there is uneven coverage of the document in the summary - specifically with the extractive summarization type it felt as though a big part of the document was glossed over compared to the earlier parts of the essay (although this didn't feel as prevalent in other summarization types).
Would love to see this turned into a paid API service and non exclusive to pdf documents!
Thank you for trying out SummaVerse and for sharing your feedback!
We're thrilled to hear you found the classification step valuable for a professional touch.
Regarding the uneven coverage in the summary, we appreciate your insight. We're actively working on improving the summarization algorithms to ensure a more balanced representation of the document. Your input is incredibly helpful in this regard.
We're also exploring options for turning SummaVerse into a paid API service and expanding beyond PDF documents. Your support and feedback are motivating us to keep enhancing the platform.
Stay tuned for updates, and thanks again for being a part of our journey!
Fantastic product
Bravo !!!
What tech stack behind your product ?
Which lllm are you using ?
Thank you so much for your kind words! We're thrilled you like Summaverse.
Behind our product, we utilize cutting-edge AI technologies, including OpenAI's architecture and some model specifically to handle various long document. Our tech stack is designed to harness the power of natural language understanding and document summarization.
If you have more technical questions or want to dive deeper into our stack, feel free to ask!
We're here to share and discuss the tech behind Summaverse.
I've tried Summaverse on 2 documents and must admit, it works awesome.
I used two research papers from arxiv.org, 12 and 32 pages.
There are several options of types for document to label and summarize, which is very convenient for various group of users.
Ability to choose output language is great.
How it works with large document is impressive: it indicates that developer(s) know how to implement the most modern innovations.
On my opinion your service has potential to be integrated it into arxiv.org and other e-prints repositories, e-book stores.
Thank you for making such a service, bookmarked ^_^
Thank you so much for the positive feedback! We're thrilled to hear that you had a great experience with Summaverse. Your support means a lot, and we'll definitely consider your suggestions for integration into platforms like arxiv.org or some open access article.
Feel free to reach out if you have any more thoughts or feedback in the future. ^_^
please which to contribute my part to this community , i give me feedback on how to get started
You can try to use our beta at https://summaverse.com/ or just leave a feedback comment here