Every vintage piece
has a story.
Now you can read it.

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Point your camera at any vintage garment. ThreadLore identifies the era, brand, estimated value, and the cultural moment that made it matter.

Identify a Garment
AI-Powered Era Detection Valuation History
Era: 1970s
Brand: Levi's
Type: Trucker Jacket
Value: $180 - $340
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How it works

From photo to provenance in seconds

01

Snap

Take a photo of any vintage garment. A thrift store find, a flea market gem, something from your grandmother's closet.

02

Identify

AI analyzes the fabric, construction, labels, stitching, and design details to determine era, brand, and authenticity signals.

03

Discover

Get the full story: when it was made, what movement it belonged to, what it's worth today, and why it matters.

Never miss a find

Rare vintage drops — first to your inbox.

1960s deadstock. Original Levi's Big E. Deadstock workwear. When something exceptional surfaces, we'll tell you before it sells.

More than a label. The whole story.

ThreadLore doesn't just identify clothing. It connects you to the cultural moment, the craftsmanship, and the market value behind every piece.

📅

Era and Origin

Precise decade identification based on construction techniques, materials, and design language unique to each period.

🏷

Brand Recognition

Label analysis, stitching patterns, and design signatures that reveal the maker, even when tags are missing or faded.

💰

Market Value

Real-time estimates based on condition, rarity, and current resale market data across major vintage platforms.

📖

Cultural Context

The story behind the garment. What was happening in fashion, music, and culture when this piece was made.

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Get notified about rare vintage finds

When something exceptional surfaces — a 1960s deadstock jacket, an original Levi's Big E — we'll let you know first.

✦ You're in! Try identifying a garment →

The $67 billion vintage market deserves better than guesswork.

ThreadLore is building the knowledge layer for vintage fashion. Every garment has a past worth knowing.

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