What it does
Keatext analyzes existing unstructured customer feedback from reviews, surveys and support interactions. It combines text exploration with dashboards, sentiment and theme analysis, recommendations and optional data connectors.
Keatext turns reviews, surveys and support text into topics, opinions and sentiment. Its record allowance counts rows in the imported data; one row can contain several comments.
On Sources, choose Choose CSV and select a UTF-8 file below 100 MB. Name the source, set its primary date and optional commenter ID, then use select fields to include the relevant columns. Check each detected type. Mark the long-form feedback columns for analysis and leave descriptive fields, such as location, as filters. Import CSV starts processing. The initial source settings cannot be changed after upload.
On Analysis, click a comment group to open its details, choose Records and open a record link. This shows the full response with its metadata, rather than only the extracted phrase. A translated record can be switched back to its original language.
| Plan | Advertised monthly price | Annual records | Dashboards |
|---|---|---|---|
| Basic | USD 550/month | Up to 10,000 | 1 |
| Pro | USD 999/month | Up to 20,000 | 1, with editing and sharing |
| Enterprise | From USD 1,650/month | 30,000+ | Unlimited |
CSV input is included. Data connectors start at USD 150/month and external review acquisition at USD 250/month. The evaluation is a two-week proof of concept arranged after a demo, with no card required. Work is held in an organization account, whose users and usage are managed in Settings.
Strengths
- Lets you inspect a complete response behind an extracted comment.
- Keeps metadata available for filtering alongside the analyzed feedback text.
Watch out for
- Record capacity is measured annually rather than as a monthly allowance.
- Cloud connectors and data acquisition can cost extra.
Best for
- Customer-experience teams and researchers analyzing existing text feedback
Sources
- Keatext pricing and proof-of-concept FAQ (Oct 27, 2026)
- Upload data from CSV (Oct 27, 2026)
- View original records from Analysis (Oct 27, 2026)
- Keatext glossary and organization accounts (Oct 27, 2026)
- Keatext | AI-Based Text Analytics (Oct 26, 2026)