Most AI tools that analyze documents require uploading your PDFs to the cloud.
That means your files are processed on remote servers, which can be a privacy concern—especially when dealing with personal or sensitive documents.
I wanted a different approach.
So I built EdgeDox, an Android app that lets you chat with PDFs using AI that runs completely on-device.
Why Offline AI?
Many users are uncomfortable uploading documents to external servers. By running the AI locally on the device, we get several advantages:
• Privacy-first – documents never leave the phone
• Offline functionality – works without internet
• Faster interaction – no network latency
• Better control over data
What EdgeDox Does
The app allows users to interact with their documents using natural language.
You can:
- Ask questions about a PDF
- Generate summaries
- Extract key information
- Quickly navigate large documents
Everything happens locally on the phone.
The Idea
I’ve always been interested in on-device AI and privacy-first applications. With recent improvements in lightweight AI models, it’s becoming possible to run useful AI workloads directly on mobile devices.
EdgeDox is an experiment in pushing this idea further—making document AI tools work without relying on cloud infrastructure.
Current Status
The app is still early, but it recently got its first few subscribers, which is a big milestone for an indie developer.
Now I'm focusing on improving:
- response quality
- document processing speed
- user experience
Try It
If you're interested in offline AI or privacy-focused apps, you can check it out here:
https://play.google.com/store/apps/details?id=io.cyberfly.edgedox
I’d love feedback from the developer community on how to improve it further.
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