Generate a fake product catalog
Synthetic ecommerce rows with name, SKU, price, category, and one-line description. View as a table or grab as JSON to seed a storefront mock-up.
Fields: name, description, SKU, price (USD), category.
SKU format: 3 letters (no I/O) — 5 digits.
Price range: $1.00 – $1000.00.
Click Generate to produce a catalog
How to fake a catalog
Each row pulls independently from adjective, noun, category, and description pools. Prices are uniform in cents to avoid ".99" bias.
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Pick a view
Table for screenshots; JSON for direct import.
Inputs are treated as UTF-8 throughout the pipeline and validated client-side as you type — nothing dispatches until the value is well-formed.
viewinpututf-8client-sidevalidatedview · texttable · setSKU · Name · …
loaded · parsedclient-side - 02
Pick count
Up to 500 products per batch.
Each toggle re-computes through a memoised hook, so flipping options never resets your input and the UI stays snappy on large inputs.
countoptionslivememoisedtogglescount · memoised20 · live20 rows
options set · memoisedlive - 03
Generate
Each row gets a unique-ish SKU and synthetic price.
Randomness — where used — comes from
crypto.getRandomValues, neverMath.random. Heavy work sits inuseMemo.mintcomputeinstantlocaldeterministicmint · instantrand · computedPRO Widget · $42.99
computed · instantinstant - 04
Copy or download
JSON imports into seeders; TSV pastes into spreadsheets.
Copy writes through
navigator.clipboardand downloads use aBlob— zero network traffic. Same input plus same options always yield the same bytes.exportcopydownloadzero-networkreproducibleok · copiedready · copiedCopied
shipped · ready to shipsuccess
Pro tips for everyday utilities
Reach for crypto.getRandomValues
Cryptographically random for IDs, tokens, salts. Math.random is for animation and games, not security.
Mock data with seeds
Faker-style libraries can be seeded so tests are reproducible. Embed the seed in the fixture file.
Reference cards beat memory
Cheatsheets for Vim, Git, Docker, Linux signals are faster than man pages when you’re mid-flow.
Browser APIs vary
Touch events, gamepads, and clipboard differ across vendors. Feature-detect before use.
Persist in the right place
localStorage for user preferences, sessionStorage for transient state, IndexedDB for structured data.
When to fake a catalog
Ecommerce demos, design comps, storefront seed data.
Storefront demos
Show a populated shop without real inventory. Random values come from crypto.getRandomValues — cryptographically secure for tokens, salts, and session IDs. Math.random is deterministic enough for animations but predictable enough to be a security bug.
CSPRNG-backedDesign comps
More believable than placeholder rectangles. Pair with hashids, ULID, or UUID v7 when you need both random and sortable — useful for primary keys, public-facing IDs, and event log ordering without a sequence column.
reproducibleDatabase seeding
Fill staging with believable products. Output is deterministic given the same seed, so fixtures and tests stay reproducible across CI runs and contributor machines. Embed the seed in the fixture file for full replay.
snappyAPI mocks
Generate realistic /products endpoints. Heavy work runs through useMemo so the UI stays snappy on large inputs. Same input + same options yields identical bytes — the kind of stability snapshot tests rely on.
feature-detectedMarketing screenshots
Catalog mock for landing pages. Storage tools persist to the right backend: localStorage for user preferences, sessionStorage for transient state, IndexedDB for structured data. Pick the right shelf and quota worries disappear.
deterministicML fixtures
Stress-test product search and ranking. Browser feature detection: clipboard, fullscreen, gamepad, and Web Bluetooth APIs gracefully fall back when unavailable. No surprise white screens on Safari or older Firefox.
production-readyFrequently asked questions
Something missing?
Tell us what you need. We ship the top requests every two weeks.