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Description
Paste product reviews and find the most frequent phrases, plus complaint, praise and request signals. 100% on your device. Turn a wall of product reviews into a clear list of what customers actually say — right on your device. Paste the reviews from any product page, or drop in a screenshot, and Review Keyword Miner ranks the most frequent phrases and flags the words that matter: complaints, praise and requests. Then it turns those signals into concrete improvement ideas and an example listing draft you can edit and use. HOW IT WORKS 1. Select the reviews on a product page and copy them — or drop in a screenshot and let the built-in reader pull the text out. 2. Paste them into the extension and click Analyze. 3. Read the top phrases, the complaint / praise / request signals, the improvement ideas, and the example listing copy. WHY THIS ONE - Not just data: it turns the phrases customers repeat into specific ideas — what to fix, which strengths to lead with, and what to consider offering. - Private by design: the text and images you paste never leave your computer. No account, no server, no uploads. - Signal-aware: built-in English and Japanese dictionaries surface complaints, praise and requests, not just raw word counts. - Practical: works on any review text you can copy or screenshot — no scraping, no logins, no site-specific setup. WHAT YOU GET (FREE) - The top 10 phrases with counts - Reviews / words / distinct-phrases summary - Complaint / praise / request mention totals - One improvement idea to get you started PRO (ONE-TIME PURCHASE, NO SUBSCRIPTION) - The complete ranked phrase list - Signal tags on every phrase, with filter by complaint / praise / request - The full set of improvement ideas - An example listing draft built from your own data - CSV export for your spreadsheet - A saved collection that adds up phrases across many pages and products Great for: Amazon, Etsy and Rakuten sellers, product researchers, and anyone improving a listing based on real feedback. Your text stays yours, on your device.