FROM THE BAG
Elida Estate Gesha
- Photos
- Bag front + roast date close-up
- Roaster
- Editable OCR field
- Origin
- Boquete, Panama
- Variety
- Gesha
- Process
- Washed
- Roast date
- 10 days ago
- Price
- $48 / 100g
Your coffee memory, made useful
Know the bean.
Brew the story.
Identify what’s inside the bag, decide if it’s worth buying, find a recipe that fits, and remember the coffees you loved—wherever you find them.
On-device OCRSource-aware scoringExportable coffee memory
IDENTIFIED COFFEE
Elida Estate Gesha
Boquete, Panama · Washed
Gesha · Roasted 10 days ago
91special find
✓
Clear provenanceEstate, variety & process disclosed
✓
In the freshness windowGood timing for filter brewing
◷
Next pour00:45 · +60g
⌖
Tokyo coffee trip8 places saved
IDENTIFY◆UNDERSTAND◆BREW◆REMEMBER◆DISCOVER
SEE THE PRODUCT THINK
One bag label becomes
a buying decision.
Bean On Bar is useful because it shows the reasoning, not just a score. The app turns multi-photo bag reads, corrected label fields, price, process, and pasted evidence into a transparent buying decision.
TRANSPARENT SCORE
91Special find
- + Provenance disclosedEstate, region, variety, process, and roast date are visible.
- + Freshness windowLikely rested enough for filter brewing, not stale.
- ± Price signalPremium pricing, but plausible for a traceable Panama Gesha lot.
- Needs evidenceReview or competition data should be cited, never invented.
NEXT BEST ACTION
Brew it like a delicate washed Gesha.
V6015g coffee · 250g water
92–94°CProtect acidity without flattening sweetness
2:45–3:15Run the timer, then save the recipe to this bean
WHAT THE APP NOW DOES
Not just a concept.
A working coffee companion.
The app is already shaped around real coffee moments: reading a difficult bag label, deciding whether to buy, choosing a filter or espresso recipe, remembering what worked, and keeping your notes under your control.
Multi-photo OCR
Add several bag photos, combine the text, and correct the fields before the app scores or saves the bean.
Transparent score
Every score shows the visible signals behind it: provenance, freshness, process, price math, and evidence you paste yourself.
Filter and espresso
Brew an unknown, identified, or saved bean; then choose filter guidance, espresso dial-in, your own recipe, or a roaster-style recipe.
Journey dashboard
Ratings, price-per-gram history, origins tried, watchlist matches, and “what should I try next?” all live in My Beans.
Local control
Everything remains local-first, with backup and restore so your coffee memory is portable instead of trapped.
COFFEE, LESS CLINICAL
Useful data should still
feel human.
Bean On Bar sits between sensory memory and evidence: the feeling of a great cafe find, plus enough structure to decide whether a bag is worth buying and brewing again.
From label to identity
Turn a coffee bag into structured details you can understand: roaster, origin, variety, process, roast date, and tasting notes.
Origin with context
Learn why farm, producer, variety, and processing details matter without needing to become a coffee professional first.
Evidence you can inspect
Scores are only useful when the signals are visible. Bean On Bar keeps the reasoning close to the recommendation.
Discovery that travels
Save the beans, cafes, recipes, and tasting notes that make a trip memorable, then find your way back to them later.
EXPLORE
Start with the product.
Then shape it together.
The core wedge is bean identification, transparent scoring, and brewing guidance. Community, travel, education, roaster tools, and feedback are ways to make the app more useful for real coffee drinkers.
01
Product
Identify coffee bags, judge buying signals, brew better cups, and save the coffees that become part of your personal journey.
02Intelligence
See how transparent scoring, source-aware evidence, price benchmarks, and local discovery help people make better coffee decisions.
03Education
Learn how to read bags, understand process, compare value, choose brewers, and fix cups with practical explanations.
04Brewing
Use bean-focused recipes, live pour prompts, roaster recommendations, and saved recipe history to improve each cup.
05Community
Discover scored bean highlights, local purchase links, cafe reports, ratings, and what people are actually drinking now.
06Roasters
Help customers brew beans correctly by attaching recommended recipes to the coffees they identify and save.
07Travel
Plan coffee trips around specialty cafes, local beans, and saved tasting memories in cities around the world.
08Feedback
Tell us what worked, what missed, and what would make Bean On Bar more useful for your next bag.