Quick Tip: You can paste an Amazon, Flipkart, or Meesho product link directly into the URL tab, or copy-paste review text into the Text tab. Combining both positive and critical feedback gives our engine the most accurate overview.

Step-by-Step User Guide

Navigating e-commerce product listings can be overwhelming. Modern product pages often carry hundreds or thousands of customer reviews, making it nearly impossible to read every single comment before placing an order. Raj Review simplifies this process into a clear 3-step workflow.

1. Copy Product URL or Review Text

Visit the web page of the product or service you are considering buying (e.g., Amazon, Flipkart, or Meesho). Copy the product page URL, or highlight and copy a batch of customer review text.

2. Enter Link or Text into Raj Review

Navigate to the Raj Review Homepage. Choose the Product Link tab to paste an Amazon/Flipkart/Meesho URL, or select the Text tab to paste raw review text.

3. Click "Extract & Analyze Reviews"

Click the primary analysis button. In under 2 seconds, our engine processes the text syntax, isolates key attributes, evaluates sentiment balance, and displays an executive dashboard.

Tip: for best accuracy paste 5-20 full reviews mixing positive and critical voices (500-8000 characters). One-line "good product" entries add little signal. See our guide to writing better reviews to understand what high-signal text looks like.

Understanding Your Analysis Results

1. Overall Sentiment Badge

Displays whether customer sentiment leans primarily Positive, Mixed, or Negative.

2. Review Score (out of 10)

Unlike raw star averages which can be inflated by promotional star sweeps, our score uses a mathematically weighted algorithm to assess real descriptive sentiment, giving you a realistic score out of 10.

3. Top 5 Pros & Cons

Our algorithms categorize recurring phrases and group them into the top 5 positive highlights and top 5 critical complaints. This saves you from reading paragraphs of filler text.

4. Trust Score & Authenticity Alerts

Our Trust Engine screens review text for markers common in fake or paid reviews. Indicators include excessive capitalized shouting, lack of specific product detail, overused promotional superlatives, and repeated phrases.

Full red-flag list is explained in how to detect fake reviews.

URL Mode vs Text Mode: When to Use Each

Use URL mode when

Use Text mode when

Pro Tips for Accurate Results

Troubleshooting

Fetch returns no reviews?

The listing may require login, be out of stock, or block bots. Copy 8-10 reviews manually and use Text mode — it gives the same pros/cons and trust analysis.

Score feels too high / too low?

Check your input balance. If you pasted only praise, add complaints and re-run. The score reflects the text you provided, not the platform average.

Button does nothing?

Ensure JavaScript is enabled and you pasted at least 50 characters. Try Clear and paste again. Contact us via contact page with the URL if it persists.

Privacy note: Pasted text is processed in-session only and never stored. Read our privacy policy and FAQ for limits (50,000 characters per run, no login needed).