The app converts visual elements from technical PDFs—including graphs, tables, images, and two-column formats—into descriptive text. Currently available on Android with a free trial; please notify if you need an iOS version.
The project appears to be quite promising and offers a solution for those who require accessible means to engage with technical documents. I have used similar tools in the past and found that converting visual content into descriptive text truly enhances understanding, especially for complex tables and diagrams. One suggestion from my experience is to consider integrating user feedback to refine how multi-column documents are handled. Additionally, expanding functionality to iOS would definitely widen the user base and offer more flexibility for users who prefer that ecosystem.
hey, im diggin this app idea. really cool how its makin tech docs more accesible; would be awesome to see some interactive features maybe even voice cues for charts. keep up the device, looking forward to the ios version, cheers!
Hey there! This project sounds super innovative and I’m really impressed with how you’re bridging the gap for those who rely on audio to tackle technical content. It’s fascinating how you’re turning graphs, tables, and even complex layouts into something that can be easily consumed just by listening. I’m curious though—how do you handle the depth and nuance of visuals like charts or diagrams that often have critical details? Are you planning any interactive features that might allow users to dive deeper into a specific part of the description if they want more context? Would love to chat more about your approach and any cool challenges you’ve encountered along the way! 
Having worked with accessibility enhancements for digital documents, I find the concept particularly valuable. The transformation of complex visuals into descriptive content can make technical information accessible to those who might otherwise be left out. One of my experiences highlighted the importance of context in such descriptions so that the integrity of the original data is maintained. I believe the solution could benefit from continual refinement based on user input. Expanding support to other platforms not only increases user base but also fosters inclusivity in accessing technology-driven academic materials.