Image Describer Chrome Extension

Hacker News

Image Describer is a Chrome Extension that uses AI to describe content in the browser for blind and low vision people. A person can get a description either through the content menu or with a keyboard shortcut. The description is announced back to the user, and is also available as text for review. The extension also supports a multi-turn interface to dig deeper into the image. I've seen a few other examples of similar tools, including some very rudimentary built-in features in Chrome. More recently I saw a couple threads on a SaaS based approach, e.g. https://news.ycombinator.com/item?id=42886440 that are interesting but pretty different than what I'm showing. My approach is novel because it includes some surrounding context about the page, that's important from generating a useful description. It also supports multi-turn conversations. Finally, it doesn't replace alt text per se; it provides added context in the client and doesn't override the native alt text. This is my first time sharing this project, and I'm happy to hear feedback especially from blind or low vision people as I work on a new release. Feel free to message me at cameron@accesslint.com. Thanks!

Visit product View on Hacker NewsJul 26, 2025

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, context · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io, including · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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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