Souk Lens hero
Meta Hackathon · IndieSAM 3.1 · Muse Spark · Muse Image · Voice

From one market-stall photo to a ready-to-sell store in under a minute

Snap a stall → SAM 3.1 isolates each item → Muse Spark prices and writes the full listing → Muse Image cleans the shot. Voice, text, links and store import work too — every result is a saved, sellable product.

0 saved productsEG · EGPDemo / Live ready
Impact in numbersRun the demo to measure live
Souk Lens time (measured)
—
No run yet
Manual time (market estimate)
15–20 min
Shoot + write + price by hand — estimate, not measured
Speedup
—
Based on time actually measured on this device
Full listings saved
0
Images + prices + variants + specs + SEO

Three Meta models in one pipeline: sam-3.1 segments, muse-spark-1.3 prices & writes, muse-image-1.0 cleans the shot — every run is labeled Live or Demo honestly.

market stall
Illustrative demo story

An informal-market seller — from messy stall to a selling store

The seller journey in a minute
An illustrative scenario built on real in-app capabilities — not a paid testimonial. You can run every step yourself from the tabs.

Snaps the stall with his phone

0:00

SAM isolates every item

0:10

Full listing, local price

0:25

Sells: fixed, auction, live or campaign

0:60

“I can't write ads or shoot well. I snapped the stall, it did the rest — and my first piece sold at auction.” — the seller's voice in this demo scenario; the point is any seller can take the same journey without reading a single technical word.

Seller — create & sell
Buyer — compare & buy
Analyze a market photo
Upload or paste a link — SAM segments, Spark writes the full listing, Muse Image cleans the shot.
How does it work? Step by step▾
  1. 1Paste an image URL or upload from your device — the preview shows what will be analyzed.
  2. 2Name what you're looking for (optional) for sharper detection.
  3. 3Press Analyze: SAM isolates each item, Spark writes a full listing with price and variants per item, Muse Image cleans the hero shot.
  4. 4Tap any box on the SAM map to open its listing, and drag the before/after slider to compare market vs studio.
  5. 5Press Save all to keep the products in My products with full details and images.

Direct image link (https) — or upload from your device. Photo tip: get close to the items and cut empty surroundings (bare table/floor) — detection is far sharper on tight photos.

“All items” generates a listing for everything SAM isolates. “Specific” focuses only on what you name.

Real multi-item stall photos — pick “All items” for batch generation, or name specific ones.

Runs SAM, then Spark, then Muse Image in order on the same photo.

input
Meta models in this tabsam-3.1Segment items out of the photomuse-spark-1.3Recognize + local price + full listingmuse-image-1.0Clean studio shot

Result

Demo previewsam-3.1 + muse-spark-1.3 + muse-image-1.0 + muse-voice

Every product is auto-enriched: variant photos + 360° views + GLB 3D support — expand the full section under any card or open the buyer page to see it as customers do.

How does it work? Step by step▾
  1. 1The proof bar above shows what each model did, how long it took, and whether it was live or demo.
  2. 2SAM map: every colored box is a real item in the photo — tap it to open its full listing.
  3. 3The before/after slider compares the original market shot with the generated studio shot.
  4. 4Product cards: save to My products, add to cart, or open full details.
  5. 5The raw JSON button reveals the models' original response for technical review.

Nothing here yet

Snap it, say it, paste a link, or import a store — every result becomes a full listing saved with all details and images.