Generate Custom Jewelry Designs
Create photorealistic jewelry concepts from a description or brief — rings, necklaces, earrings, and bracelets in any style.
Identify Jewelry Pieces and Hallmarks
Identify an unknown jewelry piece by style and period, and read hallmarks to determine metal content, maker, and assay office.
Quick answer: Use the Jewelry Visualizer tool through ToolRouter to identify jewelry pieces and hallmarks directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolInherited jewelry, estate sale finds, and antique shop discoveries often come without documentation. Identifying a piece's era, style, and metal content requires specialist knowledge that most buyers, collectors, and even some resellers do not have.
Jewelry Visualizer analyses a photo to identify the likely style period, construction method, and any visible hallmarks — translating obscure assay marks, maker's stamps, and date letters into readable information.
Antique dealers use this to quickly research pieces before pricing. Collectors use it to authenticate family heirlooms. Estate agents and probate researchers use it to catalogue jewelry inventories accurately without specialist appraisal fees.
How to identify jewelry pieces and hallmarks with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Identify an unknown jewelry piece by style, period, and hallmarks. Claude is ideal for identification work where nuance matters — discussing the implications of the identification, flagging ambiguities, and recommending when a professional appraisal is worth seeking.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
How to identify jewelry pieces and hallmarks with Claude
Once connected (see setup above), use the Jewelry Visualizer tool:
- Upload a clear photo of the piece — both the front and any visible hallmarks.
- Run `identify_piece` and `identify_hallmark` through `jewelry-visualizer` to generate the identification.
- Ask Claude to interpret the findings — how confident is the identification, what are the implications for value, and when would a professional appraisal add certainty?
- Save the identification notes alongside the piece photo for the collection record.
Example prompt for Claude
Try this with Claude using the Jewelry Visualizer tool
Use jewelry-visualizer to identify this brooch. I found it at an estate sale and want to know the approximate period, style, and what the stamps on the back mean. Review the identification and tell me what the findings suggest about its value range and whether a professional appraisal is worth pursuing.
Tips for Claude
- Photograph hallmarks separately with high magnification — small marks need maximum resolution for accurate reading.
- Ask Claude to explain the confidence level of the identification — 'likely Victorian' is different from 'confirmed 1890s London assay'.
- For resale purposes, ask Claude what additional documentation would increase buyer confidence alongside the identification.
Identify an unknown jewelry piece by style, period, and hallmarks. ChatGPT is effective for building an inventory of identified pieces — running identifications across a collection and compiling a structured catalogue with consistent field entries.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to identify jewelry pieces and hallmarks with ChatGPT
Once connected (see setup above), use the Jewelry Visualizer tool:
- Provide the jewelry photos and context — where each piece came from and any prior knowledge.
- Run `identify_piece` and `identify_hallmark` with `jewelry-visualizer` for each item.
- Ask ChatGPT to compile the identifications into a structured inventory entry for each piece.
- Export the inventory as a collection record with identification confidence noted.
Example prompt for ChatGPT
Try this with ChatGPT using the Jewelry Visualizer tool
Use jewelry-visualizer to identify these 4 pieces from an estate collection. For each, determine the style period, metal content, and any hallmark information. Compile the results as inventory entries with the key findings and confidence level for each identification.
Tips for ChatGPT
- Always note the confidence level alongside each identification — it signals to future buyers or appraisers where certainty ends.
- Ask ChatGPT to flag any pieces where the identification is ambiguous and list the most plausible alternatives.
- For estate or probate purposes, ask ChatGPT to write identifications in straightforward language that a non-specialist can read.
Identify an unknown jewelry piece by style, period, and hallmarks. Copilot is useful when identification feeds directly into a collection management system — documenting the piece and filing it with a structured record in the same session.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to identify jewelry pieces and hallmarks with Copilot
Once connected (see setup above), use the Jewelry Visualizer tool:
- Upload the piece photo and any available provenance information.
- Run `identify_piece` and `identify_hallmark` through `jewelry-visualizer` to generate the analysis.
- Ask Copilot to format the findings as a structured collection record with all identification fields populated.
- File the record with the piece photo in the collection database.
Example prompt for Copilot
Try this with Copilot using the Jewelry Visualizer tool
Use jewelry-visualizer to identify this ring and read its hallmarks. Format the output as a collection record with fields for style period, metal content, hallmark interpretation, provenance notes, and identification confidence. I'll add this to our collection database.
Tips for Copilot
- Define the collection record format before running the identification so the output maps directly to database fields.
- Ask Copilot to populate a 'further action' field — professional appraisal, cleaning, repair — to prioritise next steps.
- Link the piece photo directly to the database record so the visual and written documentation stay together.
Identify an unknown jewelry piece by style, period, and hallmarks. OpenClaw is the strongest fit for cataloguing a large estate or collection — running identifications across many pieces with a consistent record format.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsHow to identify jewelry pieces and hallmarks with OpenClaw
Once connected (see setup above), use the Jewelry Visualizer tool:
- Define the inventory record schema — fields for period, metal, hallmarks, confidence, next action — before batching.
- Run `identify_piece` and `identify_hallmark` with `jewelry-visualizer` across all photos.
- Flag any pieces where the identification confidence is low for individual review.
- Export the full inventory in the schema format for the collection or probate record.
Example prompt for OpenClaw
Try this with OpenClaw using the Jewelry Visualizer tool
Use jewelry-visualizer to identify and catalogue 15 pieces from a jewelry estate. For each, identify the style period, metal content, hallmarks if visible, and confidence level. Return as a structured inventory table and flag any pieces with low identification confidence.
Tips for OpenClaw
- Photograph each piece from multiple angles before batching — the identification quality is entirely dependent on photo clarity.
- Define the confidence threshold for 'low confidence' flags before review — pieces below 60% certainty should go to a professional appraiser.
- Separate identified pieces from flagged ones in the final export so probate or estate decisions are based on reliable information.
Frequently Asked Questions
How do I identify jewelry pieces and hallmarks with an AI assistant?
Identify an unknown jewelry piece by style and period, and read hallmarks to determine metal content, maker, and assay office. Connect the Jewelry Visualizer tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Upload a clear photo of the piece — both the front and any visible hallmarks. Run `identify_piece` and `identify_hallmark` through `jewelry-visualizer` to generate the identification.
Which AI assistants can identify jewelry pieces and hallmarks?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all identify jewelry pieces and hallmarks using the Jewelry Visualizer tool through ToolRouter, with no API keys or coding required.
What does the Jewelry Visualizer tool do?
Design and visualize jewelry — generate pieces, preview on models, create schematics, and identify existing pieces.
Related Use Cases
Preview Jewelry on a Model
See how jewelry looks when worn — place rings, necklaces, earrings, and bracelets onto model images for product pages and client presentations.