Review analyzer
Analyze thousands of customer reviews: sentiment, themes and real counts
Upload a CSV or Excel export of your reviews and get every review tagged with its sentiment and the themes it mentions, such as late delivery or poor fit, plus a summary that counts how many reviews mention each theme. Reviews in other languages can be translated in the same pass. The first reviews are free with no sign-up; up to 20,000 reviews are $5, paid once. A chatbot can summarize a few hundred reviews, but its counts over thousands are estimates; here every review is coded from the same list, so the numbers add up.
- Up to 100 reviews free in full, first reviews of a bigger file free
- Whole file $5, one payment: up to 20,000 reviews
- Themes worked out from your reviews first, or use your own list
- Sentiment and up to three themes for every single review
- Summary with counts, shares, positive and negative split, example quotes
- Optional translation into one of 81 languages
What you get back
Three things: the themes, your file with new columns, and a summary. The themes and the first reviews are shown on screen before you pay.
- The theme list: up to 14 themes found in your reviews, each with a one-sentence description, plus "Other". You can use your own list instead.
- Your file with Sentiment (positive, negative, neutral or mixed), Themes (one to three per review) and, if you asked, the translated review, added after the last column. Every other cell stays as it was.
- A summary CSV: for each theme, the number of reviews, the share of all reviews, how many of them were positive, negative, neutral or mixed, and two example reviews. The same table is on screen.
- A warnings CSV listing any review the model could not code.
Review analysis with a chatbot, and with this tool
Chatbots are good at reading a handful of reviews and telling you what customers like. The gap is scale and counting: thousands of reviews, every one coded the same way, numbers you can put in a report.
| Your situation | A chatbot | This tool |
|---|---|---|
| Twenty reviews to skim | Gives a good summary | Works too, but you may not need it |
| 5,000 reviews in a spreadsheet | Reads what fits and summarizes it; the rest is left out or estimated | Codes every review, in blocks of 40, up to 20,000 per job |
| "How many mention delivery?" | Gives a rough figure | Counts the reviews coded with the theme |
| The same complaint in different words | May split it into several themes in one answer and merge them in the next | Uses one theme list for the whole file |
| Reviews in Spanish, German and Arabic | Translates what fits in the reply | Adds a translation column for every review if you ask |
| Going back to one review | You search the chat | Each review has its sentiment and themes on its own row |
How to analyze customer reviews in a spreadsheet
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1
Upload your reviews
Drop a .csv, .tsv or .xlsx file with one review per row, for example an export from your store, an app store or a survey tool. Choose a translation language if some reviews are in other languages.
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2
Check the themes and the first reviews
The themes are worked out from a sample spread across the file, and the first reviews are coded and summarized on screen, free. If the themes miss something, list your own and start again.
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3
Unlock and download
Unlock the whole file for $5 and download your file with the new columns and the summary CSV with the counts.
Why review analysis trips up general AI assistants
A chatbot reads the reviews you paste and writes a summary. With thousands of reviews, only part of them fits, and the summary describes that part. Ask for counts and you get an impression in numbers: "about a third mention delivery" is a guess, not a tally.
Coding by hand works because a researcher fixes the list of themes first and then applies the same list to every response. This tool does the same. It first reads a sample of up to 150 reviews spread across the whole file and builds a theme list of at most 14 themes, each with a short description. Then it codes every review against that list, in blocks of 40, and checks that each review came back with themes from the list. The summary counts those codes, so the totals match the file row by row.
What people use it for
- Product reviews exported from Shopify, WooCommerce, Amazon or Etsy
- App store reviews before planning the next release
- Hotel, restaurant and booking platform reviews across several languages
- Post-purchase and NPS comment fields
- Comparing complaints month by month, using the same theme list each time
- Finding every negative review about one theme, by filtering two columns
Limits worth knowing
One file per job, up to 100 MB, one review per row; in Excel the first sheet with a header row is used. By default every column except IDs, links and images is read, so the star rating and title help the model; you can name the review column instead. One payment covers up to 20,000 reviews; Unlimited covers up to 100,000.
Sentiment and themes are judgments by an AI model. They are well suited to spotting patterns and sorting thousands of reviews; check a sample before quoting a figure publicly. The tool does not fetch reviews from websites: export them first.
Getting a good result
If you already track issues with your own names, such as "Sizing" or "Courier damage", list them as your themes so the counts match your reports. Otherwise let the tool propose themes and look at them on the first screen: a list that is too broad or too narrow is a sign to start again with your own.
By language and situation
Analyze customer reviews in Excel
A pivot table can count star ratings, but not what people complain about. Upload the reviews as .xlsx or CSV a...
Read more →Sentiment analysis of a CSV file
Upload a CSV of comments, reviews or replies and every row gets a sentiment, positive, negative, neutral or mi...
Read more →Analyze an Amazon reviews export
Upload the Amazon reviews you have exported as CSV or Excel and get each review tagged with its sentiment and...
Read more →Translate and categorize reviews into English
Reviews from several countries arrive in several languages, and reading them one by one through a translator t...
Read more →What it costs
Small files, first reviews
Free
A file of up to 100 reviews is free in full, downloads included. Bigger files: the themes and the first reviews on screen, no account.
Whole file
$5
One payment for one file: up to 20,000 reviews, with the summary. No subscription, never expires.
Unlimited
$19 / week
Every tool on the site, with files of up to 100,000 reviews.
Questions and answers
Can ChatGPT analyze thousands of customer reviews?
It can summarize what fits in a conversation, and it does that well. With thousands of reviews it reads part of them and its counts are estimates. This tool codes every review against one theme list and counts the codes, so the totals match your file.
Where do the themes come from?
From your reviews: a sample of up to 150 reviews spread across the file is read first, and a list of at most 14 themes is built, plus "Other". You can type your own themes instead, one per line.
What sentiment labels are used?
Positive, negative, neutral or mixed, for the review as a whole. Mixed is for reviews that are clearly both, such as "great quality, terrible delivery".
Can it translate reviews too?
Yes. Choose a language and a translated copy of every review is added as a column, in the same pass. The themes are then written in that language as well.
How many reviews fit in one payment?
Up to 20,000 reviews for $5. Unlimited covers up to 100,000 reviews per file.
Which files can I upload?
CSV, TSV or Excel .xlsx exports with one review per row, up to 100 MB. Ratings, titles and dates can stay in the file; they are copied back unchanged.
Is it free?
A file of up to 100 reviews is free in full. For bigger files the themes and the first reviews are free on screen, with no account. The whole file is $5 paid once.
Are my reviews private?
Only you can open your job. The review text is sent to an AI model provider for the sole purpose of coding it, through routes that do not use your data for training. Jobs uploaded without an account are deleted after 7 days, and you can delete any job yourself at any time.
Updated October 25, 2026 · APPFACT STUDIO LTD