Open-source tool to generate a video from any Wikipedia page

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Hi HN, this is a tool I built for fun two years ago, which I now decided to release as open source. It's a Java program that takes a Wikipedia page as input creates a video narrating the content of the page using a combination of sources for images and videos, plus Amazon Polly for speech synthesis. At the time, I wrote a detailed explanation[1] of how the tool works, if you're interested. The project is not active or currently maintained - I'm just releasing it because a few people requested it to me, and so I thought I might as well post it here! EDIT: Forgot to specify: although, in theory, this works with any Wikipedia page, it might not do so very well (or at all) in a few cases. For example if the input page is very short or it has an ambiguous word which will then not result in good matching images from Pixabay.

Visit product View on Hacker NewsJun 28, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, active · Missing: mrr, revenue, profit

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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