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TLDR This — Automatically summarize any article or webpage in a click.
TLDR This is a web app (+ chrome extension) that can take a painfully long piece of text and sum it up into five key bullet points using the power of NLP.
Spend less time reading counterproductive stuff and more on doing valuable work.
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Replies
@fisch0920 Hi, yes you are totally right. I implemented extractive text summarization to quickly implement the app. Might try to implement an abstractive method in a future update.
@syswarren We are glad that you liked it.
Thank you very much for taking the time to use the app and providing your feedback.
@damjanski We are glad that you liked it.
Thank you very much for taking the time to use the app and providing your feedback.
Are there any updates on the Chrome extension being flagged as malware? Sold it to 3rd-party, perhaps? No news and no response from the creator that I could get or find.
@lucastostee We are glad that you liked it.
Thank you very much for taking the time to use the app and providing your feedback.
So whats the difference between your app and @whizzzoe 's I Lazy To Read
@whizzzoe @josephmaxim
Hi,
The goal is the same - article summarization.
I got to know about I Lazy To Read when I was halfway done with the development. It's a really nice project.
I recently got started with NLP and created TLDR This as a side project to build a quick application of the same.
Although there are some web apps out there, that allow you to summarize an article, there really isn't any useful browser extension that does the job well. TLDR This comes with accompanying chrome and firefox extensions plus it also allows you to enter text directly instead of article URL. So it can be used on offline text as well.
Thank you again for your feedback.
This is an amazing idea! However, where is your privacy policy? There isn't a visible link on the page linked from PH and the link on the HackYogi site goes to a page that doesn't actually have a privacy policy on it: https://hackeryogi.com/privacy-p... Sorry, but I won't be trying this product out nor upvoting it until there is a satisfactory privacy policy!
@tgel0 We are glad that you liked it.
Thank you very much for taking the time to provide your valuable feedback.
Hi everyone 👋
I am delighted to share my new project 📚"TLDR This" with you guys here on ProductHunt.
Problem 🤔: There's so much content out there but too little time to read. So many times, it happens that there's a long article that we're interested in, but we don't really feel like scouring through it to extract relevant information from it.
Hence, I created "TLDR This" to help you navigate relevant content quickly and easily, without having to read the whole thing.
Steps to get cracking -
1. Copy and paste either the URL or the text of the article you'd like summarized.
2. Press the "Process Text" button, and you are good to go.
TLDR This also comes with a chrome extension, allowing you to summarize any webpage at the click of a button.
How to use the chrome extension?
Just click the “tl;dr” button in Chrome's toolbar on a webpage which you'd like summarized and within a few seconds, you'll get the < 5 sentence summary right there.
Please let me know if you have any feedback/suggestions.
Thanks a lot 🙏
@samanyou_garg Hey this is very cool, haven't had too much time to dive in but am very excited to jump in. And congrats on a great launch. Is this your first launch?
@drew_dunn1 Thank you very much.
Please test it out and let me know if you face any problems.
@samanyou_garg dude I hate to say this but there are at least 5-10 same extensions out there. What the point of making another one?
@kpmg_canada Hi, sure there are extensions that do it but I personally couldn't find any extension that was suitable for my needs. The chrome extensions that are currently present either require the user to register/login or subscribe to a paid plan after some number of requests or fail to work on some websites or require you to select the text manually.
I recently got started with NLP. So I created this app to create a real-world application in order to test my understanding of the same. This is just the initial version. As I continue to work on this, I will keep implementing new methods like Deep Learning based summarization to improve the result.
Thank you very much for taking the time to use the app and providing your feedback.
Love the concept, but after trying to summarize 3 different articles from 3 different sources, I got nothing meaningful. Please keep working on this, as it has fabulous potential.
@eileenatreidcampbell We are glad that you liked it.
The problem of article summarization is still in its development stage. I will keep implementing better methods as they are released.
Thank you very much for taking the time to use the app and providing your feedback.
@aazar_ali_shad We are glad that you liked it. We use TextRank text summarization.
awesome idea, execution is not that great. I've tried it on a number of articles, and the output was far from perfect. still upvoted, keep working and testing different algorithms. I'd love to have a product that could solve the problem you're working on.
Good job done. But I feel like consistent polishing needed to make this more efficient. What about adding a like and dislike button next to each line, so that readers can rate the summary if needed. This data can be used to validate and optimise the algorithm.
Perfect for reddit, lol. Might want to post about it there. A common complaint from its users are that articles are too long.
@jenniferrrrrooo That's very true!
Thank you very much for taking the time to use the app.
@eightyeighteigh We are glad that you liked it.
Thank you very much for taking the time to use the app and providing your feedback.
@boris_tseytlin Thank you for your feedback.
I am sorry to hear it didn't work on the articles you tried.
We use a version of the TextRank algorithm to rank each of the text sentences in the article and then select the top 5 most representative sentences from the article. I am not an expert in this field so not too sure if that's the best way. Just started with NLP a few days back and wanted to test it out by developing a small application. As I continue to work on this, I will keep implementing new methods like Deep Learning based summarization to improve the result.
I have personally tried it on a number of articles and it seems to provide good results. Also, I have received feedback from a number of users who say that it worked for them. But yes there are some articles where it fails to give accurate results since the "article summarisation" technology is still in its development stage.
We will try to improve it in the next version.
Thank you again for your feedback.
Reacher