RockHound-GO › AI Mineral Identification

AI Mineral Identification — Scan Any Rock or Mineral

RockHound-GO uses advanced computer vision and geological AI to identify rocks, minerals, crystals, fossils, and gemstones from a single photo. Get a likely identification with confidence scores and field tests to confirm — no geology degree required.

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Public scan summary

Quartz-Veined Quartzite

Photo not shared with this public summary. No illustrative stand-in is shown.

Likely identification
Quartz-Veined Quartzite
Recorded AI confidence
90% — model confidence, not a verified accuracy rate
Alternate 1
Not shared on the public record
Alternate 2
Not shared on the public record
Streak
Not recorded on the public summary
Hardness
Not recorded on the public summary
Acid
Not recorded on the public summary

From an existing publicly shared find. The original photo, alternative candidates, and field tests were not shared, so they are marked not shared. No collector coordinates are included.

AI identification is a starting point; confirm with physical tests or expert review.

How AI Mineral Identification Works

Our AI engine analyzes the visual properties of your specimen — color, luster, crystal system, cleavage patterns, transparency, fracture type, and crystal habit — and cross-references them against a database of thousands of verified mineral specimens.

Each identification includes a confidence score (0–100%), alternative candidate minerals ranked by likelihood, suggested field tests (streak, hardness, acid test), geological context, formation history, and estimated market valuation range.

What the Rock Identifier Recognizes

  • Minerals — Quartz, feldspar, calcite, pyrite, tourmaline, garnet, mica, amphibole, and many more
  • Crystals & Gemstones — Amethyst, citrine, obsidian, jade, turquoise, opal, topaz, ruby, sapphire
  • Rocks — Granite, basalt, sandstone, limestone, schist, marble, rhyolite, shale
  • Fossils — Ammonites, shark teeth, trilobites, plant fossils, trace fossils
  • Meteorites — Fusion crust, Widmanstatten pattern, chondrules

What Your AI Identification Report Includes

🎯 Confidence Score
AI certainty percentage with top candidate alternatives
🔬 Physical Analysis
Color, luster, hardness, crystal system, cleavage, fracture, streak
🌍 Geological Context
Formation environment, associated minerals, typical localities
💰 Valuation Range
Estimated collector and market value based on size, quality, and rarity
🧪 Field Tests
Step-by-step tests to confirm identification in the field
📜 Provenance Record
Auto-logged to your collection with GPS, date, and scan hash

Frequently Asked Questions

How accurate is AI mineral identification?

RockHound-GO's AI engine is trained on thousands of verified geological specimens. Identification confidence is displayed with each result. Common minerals with distinctive features, like quartz and pyrite, are generally identified more reliably than rare species or look-alikes. AI results are a starting point, not a certified identification. We always recommend field tests (streak, hardness, luster) to confirm.

What photo should I take for the best identification?

Use natural light, fill the frame with the specimen, include a fresh broken surface if possible, and take 2-3 angles. Avoid heavy shadows and blurry macro shots. The AI engine analyzes color, luster, crystal habit, cleavage, and fracture patterns.

Can I identify fossils and gemstones too?

Yes. RockHound-GO identifies minerals, rocks, crystals, fossils, and gemstones. The AI categorizes finds into igneous, sedimentary, metamorphic, mineral, crystal, fossil, and gemstone families.

Is the mineral identification free?

Free accounts include 5 AI scans per month. You can try 1 guest scan per device without an account. Paid plans offer higher scan limits; Expedition Elite includes unlimited fair-use scans.

Does it work offline in the field?

The scan capture works offline. Identification results sync once you reconnect. Pro users can pre-cache field data for fully offline operation.

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