Duplicate Words Remover — Clean any listing text into a deduped, byte‑safe keyword list for Amazon backend search terms and PPC. This free tool removes duplicate words, normalizes case, filters noise (stopwords, numbers, short words), and optionally splits hyphenated terms. You get a single line of unique keywords, a running byte counter for the 249‑byte limit, and (if selected) a frequency table to see which words appear most. Privacy: processed locally in your browser; nothing is uploaded.
How to use this tool
- Paste text — title, bullets, description, reviews, A+. You can paste multiple listings.
- Choose Case — Original, lowercase, or UPPERCASE (used for processing and output).
- Clean‑up options — Remove stopwords, remove numbers, split hyphenated; set Min length (start with 2–3).
- Exclude words — comma‑separated (e.g., competitor brands).
- Pick Output — Keep order, Alphabetical, or By frequency.
- Backend mode (249 bytes) — toggle to track bytes; optional “Trim to 249 bytes”.
- Click Remove Duplicates → copy the output or download the frequency CSV.
Formulas / logic
Normalize → remove punctuation/quotes; optionally split on hyphens(/) and collapse spaces
Tokenize → split on whitespace
Apply case → lower/upper/original
Filter → numbers (opt), stopwords (opt), min length, exclude list
Deduplicate → Keep order (first seen) | Alphabetical | By frequency (desc, A–Z tie‑break)
Byte length → measure UTF‑8 bytes for the 249‑byte Amazon limit
Inputs & outputs (at a glance)
Inputs
- Source text to clean
- Case mode (Original / lower / UPPER)
- Clean‑up: remove stopwords, remove numbers, split hyphenated, minimum length
- Exclude words (comma‑separated)
- Output mode: Keep order / Alphabetical / By frequency
- Backend mode (249‑byte counter & optional trim)
Outputs
- Unique words — single line, space‑separated, ready for backend terms
- Counts — words and UTF‑8 bytes (with 249‑byte indicator)
- Frequency table — word → count (when By frequency is selected)
- CSV download for frequency table, and a Copy button for output
Worked example
- Input — “Premium bag‑strap, adjustable bag strap for travel — Travel Strap, bag for men 2024 (BrandX)”
- Options — Case: lowercase; Clean‑up: stopwords ✓, numbers ✓, split hyphenated ✓, min length = 2; Exclude: brandx; Output: Keep order; Backend mode: ON
Output (unique words) — premium bag strap adjustable travel men
Counts — Words: 6; Bytes: 40 / 249 bytes (UTF‑8)
Top frequency (if selected) — bag (3), strap (3), travel (2), premium (1), adjustable (1), men (1)
Tips & edge cases for Amazon sellers
- 249 bytes, not characters — accented letters & some scripts use 2–3+ bytes each; watch the counter.
- No commas or punctuation in backend search terms—use spaces only.
- Avoid competitor brands and restricted terms; add them to Exclude.
- Singular vs plural — Amazon stems common forms; keep one version to save bytes.
- Hyphens — splitting “bag‑strap” → “bag strap” improves coverage; keep hyphen only if it’s a distinct keyword.
- Numbers — keep only when meaningful (128gb, 4k, size 10).
- Multi‑language listings — bytes rise fast; trim strategically with Frequency view.
Glossary
- Backend Search Terms — Hidden Seller Central field used for indexing.
- Stopwords — Common filler words removed to save space (e.g., and, for, the).
- Tokenization — Splitting text into individual words (tokens).
- UTF‑8 Bytes — Storage size of characters; the basis for Amazon’s 249‑byte limit.
- Hyphen splitting — Treats “bag‑strap” as “bag strap” for broader matching.
Changelog
- v1.0 — Initial release with case modes, stopword/number filters, hyphen split, min length, exclude list, output modes, backend byte counter, copy & CSV.
FAQs
➜ Do I need commas in backend search terms?
No. Use spaces only. Commas and punctuation waste bytes.
➜ What’s the 249‑byte limit?
Amazon limits the backend search term field to 249 bytes (UTF‑8). Some characters (e.g., “é”, Hindi/Arabic scripts) can take 2–3+ bytes each.
➜ Should I include plurals and misspellings?
Amazon usually matches singular/plural and close variations. Include only high‑value alternates that are truly different (e.g., “macbook” vs “laptop”).
➜ Are competitor brand names allowed?
Include your own brand where relevant. Avoid competitor brands and restricted terms.
➜ Will my text be uploaded or stored?
No—everything runs locally in your browser. Nothing is uploaded.
➜ Why does the frequency count differ from the output word order?
Frequency view sorts by counts; “Keep order” preserves first appearance. Choose the view that suits your task.
➜ Can it produce phrases (n‑grams)?
This tool outputs single words. For phrases, build them from the cleaned list or analyze with a phrase tool/PPC data.
