Smartphones hold our entire digital lives: thousands of photos, receipts, work PDFs, voice notes, and gate codes buried in messages.
Yet finding anything is painful because stock search only checks cryptic filenames like IMG_20240914.jpg or Scan_Doc_09.pdf. Meanwhile, cloud photo search uploads your private files to remote servers.
I built Pipit 🐦 — an open-source, on-device AI universal search engine for Android.
⚡ Key Features:
- Deep Content OCR: Searches inside PDFs, receipts, and screenshots using on-device Google ML Kit.
- Semantic Visual Search: Natural language search across your gallery ("yellow vintage car", "handwritten grocery list").
- Unified Search Bar: 7 domains in one place (Photos, PDFs, Messages, Contacts, Video, Audio, Apps).
- 100% Offline & Air-Gapped: Runs quantized Google LiteRT multimodal models directly on your phone's silicon. Zero cloud, zero tracking.
- Sub-50ms Latency: Accelerated via local Vulkan GPU/NPU delegates.
Source code and release APKs are available on GitHub:
👉 Repository: https://github.com/sanjay434343/Pipit
I'd love your feedback, critiques, and ideas!
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