How AI Deep Scan Powers Your Search
Every photo you add is processed by our multimodal computer vision engine and converted into an intelligent semantic index.
1. Fine-Print OCR
Automatically extracts model numbers, brand names, serial codes, and printed text from boxes, labels, and electronics without typing.
2. Visual Attributes
Identifies item colors, materials (titanium, plastic, wood), styles, and categories straight from the image pixels.
3. Vector Semantic Search
Understands synonyms and concepts. Searching for "snow gear" automatically finds winter parkas, boots, and shovels.
Keyword Matching vs. Tote-Pilot Smart Search
See why traditional inventory apps fail when you can't remember exact titles.
Traditional Inventory Apps
- Exact match only: Searching "winter boots" fails if you named it "Snow Footwear".
- Manual data entry: You must manually type out every model number, brand, and serial code.
- Blind to photos: The search engine cannot read or interpret text inside images.
TOTE-PILOT DEEP SCAN
Tote-Pilot AI Deep Scan
- Concept & synonym matching: Vector embeddings find items based on meaning, not just letters.
- Automatic photo OCR: Reads fine print, serial plates, and packaging straight from your camera.
- Sub-second speed: PostgreSQL vector index searches across hundreds of totes in milliseconds.
| Capability | Standard Apps | Tote-Pilot Pro |
|---|---|---|
| OCR Image Text Reading | ||
| Concept & Synonym Search | ||
| Visual Tag Extraction (Colors/Materials) | ||
| User-Scoped Privacy Isolation | Varies |