Paste your reviews or call the API. Get sentiment scores, recurring topics, and a clear summary — no NLP expertise required.
Reading 500 reviews manually wastes a full day. Our engine reads them in 2 seconds.
Every review gets a positive, neutral, or negative label with a confidence score — not just an aggregate number.
Recurring themes (delivery, pricing, support, quality) are automatically grouped and ranked by frequency across your review set.
Overall sentiment distribution, average score, top positive drivers, and top complaint drivers — in one structured JSON response.
Works on Trustpilot exports, Amazon reviews, App Store feedback, Intercom transcripts, or raw survey responses.
Submit up to 500 reviews in a single API call. Ideal for weekly digests, product launch monitoring, or competitor analysis.
Connect to Zapier, Make, or your own backend. One POST request, structured JSON back — plug it into any workflow.
Three steps from raw reviews to clear insights
POST an array of review strings to the API, or paste them one-per-line in the browser tool. No formatting required.
Each review is classified as positive, neutral, or negative. Keywords are extracted and clustered into recurring themes across the full batch.
Receive per-review results plus an aggregate summary: sentiment breakdown, top topics, and overall score — ready to visualize or act on.
Start free. Scale when you need to.
The engine is optimized for English reviews. French, Spanish, and German support is in beta — accuracy may vary for non-English text.
We achieve >87% accuracy on standard English review benchmarks (Amazon, Yelp). Sarcasm and highly domain-specific language may reduce accuracy slightly.
Yes. Submit up to 20 reviews per call on the free tier, 200 on Starter, and 500 on Pro. All are processed in parallel and returned in a single response.
A topic cluster is a group of semantically related keywords that appear frequently across your reviews — for example "slow shipping", "late delivery", and "arrived damaged" would cluster under a Delivery theme.