Jewelry Image Search and Background Removal Demonstration

This video demonstrates how to use a “Jewelry Image Search” tool to find similar jewelry items from an uploaded image. Initially, an image of a ring on a hand is uploaded, and a processing step, labeled “Qwen,” removes the background to isolate the ring.

The user then adjusts search parameters like the number of results and search accuracy before initiating a search for similar images. The tool displays a grid of rings that match the uploaded item, and the user can click on any result to view more details — including an option to perform a further similar image search based on that specific result.

Jewelry Text Search and Similar Item Discovery

This video showcases the text search functionality of a jewelry search tool. The user demonstrates typing “rng” into the search bar, utilizes a spell check feature to correct it to “ring”, and then executes a text-based search.

After browsing the initial results, the user selects a specific ring and performs a subsequent search to find more similar items, illustrating an iterative approach to discovering desired jewelry pieces.

Hybrid Search in Action: Fast, Accurate Jewelry Matching (Image + Text)

This video showcases your hybrid search workflow: choose a catalog, submit a query (drop an image or type “rose-gold solitaire ring”), and watch results blend visual similarity (embeddings) with keyword/BM25 matching—re-ranked by adjustable weights.

You’ll see filters (metal, stone, price) refine results in real time, confidence scores and SKUs on each match, and quick drill-downs to product details. Behind the scenes, vector hits, lexical terms, and metadata boosts (brand/collection) are fused for precise, explainable results.

The demo closes with saving/exporting matches and peeking at analytics to track top queries and hit rates.

Keyword Search in Action: Fast Jewelry Lookup by Names, Tags & Filters

This video focuses on keyword (lexical) search in your Jewelry app: you type terms like “rose gold solitaire ring,” use autocomplete and suggestions, and apply filters (metal, stone, price, collection) to narrow results.

The grid/list updates instantly with product thumbnails, SKUs, titles, and prices, and you can sort by relevance or price, open a product to view details, and copy the SKU.

It also shows exact-match vs. partial-match behavior (phrases, AND/OR terms), synonyms/stemming for common jewelry terms, and quick refinements via facets.

Finally, you save or export the filtered set for merchandising or client sharing—demonstrating fast, precise text-based discovery without needing an image.

Keyword Search in Action: Fast Jewelry Lookup by Names, Tags & Filters

This video focuses on keyword (lexical) search in your Jewelry app: you type terms like “rose gold solitaire ring,” use autocomplete and suggestions, and apply filters (metal, stone, price, collection) to narrow results.

The grid/list updates instantly with product thumbnails, SKUs, titles, and prices, and you can sort by relevance or price, open a product to view details, and copy the SKU.

It also shows exact-match vs. partial-match behavior (phrases, AND/OR terms), synonyms/stemming for common jewelry terms, and quick refinements via facets.

Finally, you save or export the filtered set for merchandising or client sharing—demonstrating fast, precise text-based discovery without needing an image.

Apply Jewelry to Image: Smart Virtual Try-On for Instant Mockups

This video shows the virtual try-on flow: upload a model or customer photo, then pick a ring, earring, or necklace from your catalog to “apply” onto the image. The system auto-detects landmarks (ear, finger, neckline) to snap the piece into place.

You can fine-tune placement with drag, rotate, and scale controls, toggle between left/right ear or finger, and adjust depth, shadow, and shine for photorealistic results.

Try multiple variants (metal color, stone shape/size), compare before/after views, and even switch backgrounds to match your branding or mood.

When you’re happy, save the mockup to your project/design board or export as PNG/JPG for sharing (e.g., WhatsApp, Instagram) or client approvals — perfect for fast, visual merchandising and personalized customer previews.

AI Jewelry Design Studio: Generate & Refine Concepts from Prompts or References

This video shows the AI Design flow end-to-end: enter a style prompt (e.g., “rose-gold halo ring with marquise diamond”), optionally upload a reference sketch or photo, pick presets (metal, stone shape, band style), and set variant count.

The system generates multiple concepts, then you refine — swap metals or stones, tweak details with prompt edits, and use “variations” to explore alternatives.

You can zoom into a design, compare side-by-side, favorite the best options, and upscale for a clean, presentation-ready mockup.

Finally, it saves the result to your Designs library and lets you export high-res images or spec sheets for client sharing or direct handoff to CAD — turning inspiration into production-ready concepts in minutes.

Image History: Searches

This page is a centralized gallery of all AI-generated images — cleanly organized for quick browsing, with simple options to search, filter, and download the visuals you need.

Positive/Negative Search: Include & Exclude Signals for Sharper Jewelry Matches

This video demonstrates refining results with positive (must-have) and negative (must-not) signals. You add positives like “rose gold,” “solitaire,” or an image crop to boost similar pieces, and apply negatives like “two-tone,” “cluster,” or “oval” to suppress mismatches.

The UI shows +/− chips, quick facet filters (metal, stone, price), and a weight slider to control how strongly signals re-rank the grid. You’ll see instant updates with thumbnails, SKUs, and confidence scores — and can open details to verify attributes.

Combine text + image cues for hybrid precision, then save or export the tuned query as a reusable search profile — perfect for merchandising teams, catalog curation, or client-specific filtering.