PoLang's smart search and AI chat rely on on-device models and a one-time gallery scan. Finish the steps below so the app can actually understand you.
Model downloads, account, people, and remote channels live in the app's Settings; the scan entry is at the bottom tab "Gallery Cleanup → Scan". Each step below points you to the right screen — the UI may differ slightly in the latest version.
On first launch, the app walks you through the onboarding screens to grant gallery and other permissions — the prerequisite for all on-device recognition and search. About 1 minute.
Tagging, face recognition, and semantic search all rely on on-device AI models. Go to Model Center → Required and download them all (7 models, ~1.5 GB). The Recommended models (matting, voice) are optional.
Let the app learn the people and scenes in your gallery. Go to the bottom tab Gallery Cleanup → Scan and start scanning (face detection + semantic encoding, ~1.5h / 10k photos). Remember to enable background activity when prompted, or it may be paused in the background. The UI may differ slightly in the latest version.
Run Image Understanding to generate scene, object, and activity tags for every photo — it makes searches like "beach", "night scene", or "family picnic" sharper. ~24h / 10k, best overnight while charging. Pause anytime — already-processed photos won't repeat.
Sign in with email for a higher free quota (guests get less). After scanning, people are detected automatically — name each person and set relationships (family / friends / colleagues…), add facts in AI Memory, and connect Feishu / Telegram to drive your gallery from IM. PoLang gets smarter in every conversation.
Just say something to the AI
"Find last summer's beach photos"
🗂️ Matching photos, grouped smartly by time — all search, face, and scene recognition happens on-device; photos are never uploaded.
