
Count bread rolls on a tray from a photo
Works with JPG, PNG, WEBP · Free up to 20 MB, Premium 50 MB
Spread the bread rolls one layer deep on a tray or flat surface and photograph from directly above — counted detections receive dots for review. Built for bakeries, caterers and food producers — review and correct each photo before adding it to a CSV or PDF tally.
- Review the photo, then count visible bread rolls
- Count without marking; add example boxes if you need a guided recount
- Stop counting the same bread rolls twice to be sure of the total
- Free to use · No signup required · Without watermark
Works with JPG, PNG, WEBP · Free up to 20 MB, Premium 50 MB
Upload Image
Tips for an accurate count
• Use an even, well-lit photo with the bread rolls fully in frame
• Check that each marked example boxes a whole bread rolls rather than a repeated part
• Dots and heatmap show retained detections — review and correct the tally
About the Bread Rolls Counter
The bread rolls counter counts visible bread rolls from your photo and marks detections for review. Auto mode uses the selected item name. For a guided recount, mark up to three examples of what you want counted. Visibility, overlap and similar-looking items can affect the total. Built for bakeries, caterers and food producers.
How It Works
1. Photograph your bread rolls
2. Check that bread rolls is selected, then choose Count
3. Review the markers and correct the tally; add example boxes for a guided recount if needed
4. Add to the tally sheet and export your count as CSV
Perfect For
• Oven output tallies per tray
• Wholesale dispatch counts against the order
• Morning production checks against expected demand
• End-of-day unsold and waste recording
Counting bread rolls, including rolls baked touching
Bread rolls are often baked close together so they rise into each other, leaving a tray of pull-apart rolls joined at the sides. That is the main thing that goes wrong when a bakery counts oven output, wholesale dispatches or end-of-day unsold rolls from a photo: a joined block can read as fewer, larger rolls. The crease between two rolls is usually visible from above, so camera angle and light matter more here than with separated rolls.
Low light from one side, with the camera directly above the tray, puts a shadow in each crease that outlines every roll. Mark one complete roll as the example in Similar items so the counter learns the single-roll size. Dark rye and seeded crusts on a black tray lose their edges, so move them onto a lighter board or parchment. Morning production often fills a rack trolley; photograph one tray at a time and add each as a row.
Joined pairs read as one are the thing to look for in review; correct the tally row for each, and label rows by product so the CSV shows output per line. Wholesale orders packed into stacked delivery crates can be counted crate by crate, and donuts from the fryer can share the same tally sheet.
Roll tray checks
- Low side light to show the creases between rolls
- Dark crusts moved onto a light board
- One complete roll marked as the example
- One tray per photo, one row per tray
Frequently asked questions
- Do the items need to be separated before counting?
- Slight touching can work, but full overlaps hide items and make the result less reliable. Spread them one layer deep under even light, mark a clear example, and review every result marker.
- What if the photo has more than just bread rolls in it?
- Auto mode uses the selected item name to find what to count. For a guided recount, mark one complete, clearly visible bread rolls — up to 3 examples for different-looking kinds. Similar-looking distractors can still affect the result, so review every marker before using the total.
- Can I count several photos into one total?
- Yes — count each photo and add every reviewed result to the tally sheet as a labelled row. If you use example boxes, mark them separately on each photo. Export the tally as CSV or a PDF report, or save it to your account.
- Is it free and private?
- Yes. You can count, review and download a free result without an account. Downloads are free without a watermark. No signup required. Server-processed photos are encrypted in transit and removed under our Security policy.
What you can do with AI Inventory Counter
Review the main capabilities before you begin.
- Count shelves, stacks, crates and pallets from photos
- Review and correct photo tallies before export
- Export your stock-take to a CSV file
- Run a full audit shelf by shelf
- Optionally mark an item to target one SKU
- Combine bulk photos into one inventory total
- Ignore small stray detections for accuracy
Settings reference
12 settings
Available controls for AI Inventory Counter.
Upload
- Single photo / Bulk auditPresets
- Choose a single-photo count or a Premium bulk audit. Review every result.Options: Single photoBulk audit
Count
- Add to tallyOne-click
- Add this photo as a row in the current stock-take.
- Counting modePresets
- Chooses the counting engine: Auto and Similar items count from your marked examples — mark 1 to 3, one complete product per different-looking kind; Distinct objects labels separate, fully visible items without an example.Options: AutoSimilar itemsDistinct objects
- Included markersSliderRange: 0–1 · Default: 0.21
- Starts at 21%; slide toward Show more to include weaker markers or Only strongest to hide them.
- Overlay stylePresets
- Choose dots, a heatmap, both or a clean preview.Options: BothDotsHeatNone
- What to countText input
- Type the item to count, such as cow, bottle or car, so other objects in the photo are ignored; leave it blank to count everything.
- Detection sensitivitySliderRange: 0–1 · Default: 0.5
- Adjust detection sensitivity for larger or smaller visible items.
Examples
- Mark example itemsDraw on image
- Drag a tight box around one complete, clearly visible item. The counter uses it as a visual reference; review every result marker for lookalikes or missed items.
Tally
- LabelText input
- Rename this row so it is identifiable in the exported stock-take.
- CountNumber input
- Correct this row's count; totals and exports update automatically.
Advanced
- Result overlayDropdown
- Choose how count markers appear on the downloaded result.Options: Dots + heatmapDots onlyHeatmap only
- Ignore small detectionsSliderRange: 0–1 · Default: 0
- Ignore detections below the selected size.
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Tools for common next steps after AI Inventory Counter.
Counting & Inventory
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Estimate an object count from a photo. Review and correct the numbered markers before using the count.
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Live Object Counter
Aim your phone at separated, fully visible items and review the detector markers as the count updates in real time.
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Bottle Counter
Count bottles on shelves, in crates, or in cold rooms from one photo, with counted detections marked for review.
Try it nowHow AI Inventory Counter helps you get it done
Real problems it solves every day — for businesses, creators, and everyday tasks. Find the use case that fits you and start.
Multi-Location Retail Cycle Counts
Managers can use Bulk audit to run Distinct objects mode across every shelf photo, review every tally, and save each store's corrected session separately.
Warehouse Goods-In Receiving Audits
Warehouse staff photograph each pallet, mark 1-3 example items in Examples — one per SKU in the shot — and export the reviewed tally as a CSV to match against the purchase order.
Pharmacy Controlled-Stock Review Trails
Pharmacies can create a shelf-by-shelf AI draft by marking 1-3 example items in Examples — one per SKU — then have a qualified person review and correct it under the required manual procedure. The export supports review but is not a compliance record by itself.
Loss-Prevention & Shrinkage Spot Checks
Store managers can compare reviewed, corrected photo tallies over time as a preliminary shrinkage screen, then physically verify discrepancies before taking action.
Small Manufacturer & Workshop Parts Counting
Machine shops photograph bins of screws, fasteners or gaskets and mark 1-3 example parts in the Examples setting — one per part type in a mixed tray — before counting for build planning or reordering.
Watch each transformation land
Every photo crosses the slash untouched and comes out the other side finished.


























