---
description: Learn more about DiscoverText price, benefits, and disadvantages for businesses in South Africa. Read reviews from verified users and discover similar tools.
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title: DiscoverText Price, Reviews & Features - Capterra South Africa 2026
---

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# DiscoverText

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> Web-based collaborative text analytics for academics, companies, and governments to search, filter, cluster, code and classify text.
> 
> Verdict: Rated **4.6/5** by 111 users. Top-rated for **Likelihood to recommend**.

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## Overview

### Who Uses DiscoverText?

Fortune 1000 companies, academics, and government agencies that need analytics solutions that streamline the process of gathering, storing, and acting collaboratively on natural language text data.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.6/5** | 111 Reviews |
| Ease of Use | 4.2/5 | Based on overall reviews |
| Customer Support | 4.6/5 | Based on overall reviews |
| Value for Money | 4.6/5 | Based on overall reviews |
| Features | 4.5/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Texifter
- **Location**: Amherst, US
- **Founded**: 2009

## Commercial Context

- **Starting Price**: US$1 000,00
- **Pricing model**: Per User (Free version available) (Free Trial)
- **Pricing Details**: Tier 1&#10;50 Simultaneous DiscoverText Accounts-Per Year-$125,000.00 (Your Cloud)&#10;250 Simultaneous DiscoverText Accounts-Per Year-$200,000.00 (Your Cloud)&#10;Institutional Unlimited DiscoverText Accounts-One Time-$500,000.00 (Your Cloud)&#10;&#10;· There is no charge for installation, set-up, and initial testing. &#10;· We suggest in-house, Azure or AWS for a cloud hosting service. &#10;· The client must own the contract and pay the bill for their own cloud service.&#10;· We offer training and project support in English, French and Arabic.&#10;· Machine-learning applications require an institutional uClassify license. &#10;&#10;Tier 2&#10;1 User-Per Year-$10,000.00 (Texifter Cloud)&#10;1 User-Per Month-$1,000.00 (Texifter Cloud)&#10;· Texifter assumes all cloud hosting and computing costs and runs the software out of the United States.&#10;· Default storage is 100,000 units of text and associated metadata for monthly and 500,000 for yearly offers.&#10;· Upgraded storage capacity is negotiable starting at $200/month/million units.
- **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based, Windows (Desktop)
- **Supported Languages**: Arabic, Chinese, Danish, Dutch, English, Finnish, French, German, Hebrew, Italian, Spanish
- **Available Countries**: Australia, Brazil, Canada, China, Germany, India, Japan, Mexico, United States

## Features

- Commenting/Notes
- Data Extraction
- Data Import/Export
- Document Management
- Full Text Extraction
- Language Detection
- Search/Filter
- Sentiment Analysis
- Tagging
- Topic Clustering

## Integrations (2 total)

- SurveyMonkey
- Twitter/X

## Support Options

- Email/Help Desk
- Knowledge Base
- Phone Support

## Category

- [Text Mining Software](https://www.capterra.co.za/directory/30933/text-mining/software)

## Related Categories

- [Text Mining Software](https://www.capterra.co.za/directory/30933/text-mining/software)
- [Electronic Discovery Software](https://www.capterra.co.za/directory/30552/electronic-discovery/software)

## Alternatives

1. [Everlaw](https://www.capterra.co.za/software/137171/everlaw) — 4.9/5 (87 reviews)
2. [Nextpoint](https://www.capterra.co.za/software/114099/nextpoint) — 4.4/5 (234 reviews)
3. [GoldFynch](https://www.capterra.co.za/software/219762/goldfynch) — 5.0/5 (9 reviews)
4. [Lexbe eDiscovery Platform](https://www.capterra.co.za/software/73529/lexbe-ediscovery-platform) — 4.6/5 (60 reviews)
5. [CloudNine](https://www.capterra.co.za/software/119899/cloudnine) — 4.8/5 (52 reviews)

## Reviews

### "User-friendly tool  w/ excellent customer service" — 5.0/5

> **Verified Reviewer** | *01 April 2019* | Higher Education | Recommendation rating: 10.0/10
> 
> **Pros**: User-friendly, ability to run multiple feeds, coding capabilities, customer service
> 
> **Cons**: I have few things I dislike about DiscoverText. Ability to pull data from Instagram would be great,  given consumers' interest in the platform.
> 
> I began using DiscoverText as a doctoral student in 2013 while conducting research on sport fans' social media usage. Six years later, I still find myself turning to DiscoverText whenever I need to collect social media data. As someone who is not very technology savvy,  I find the platform to be quite user-friendly, and the ability to code data right within the platform is extremely beneficial. Beyond the benefits of the tool itself, my interactions with the DiscoverText team are always pleasant and informative. It can be so difficult these days to feel "heard" as a customer, but I don't have to worry about that with DiscoverText. Whenever I have questions or issues, they are quickly answered/remedied by the DiscoverText team.

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### "Great tool for analyzing media content" — 5.0/5

> **Verified Reviewer** | *27 August 2019* | Research | Recommendation rating: 10.0/10
> 
> **Pros**: Very adaptable to our research aims&#10;Very user-friendly&#10;Coder monitoring/adjudication feature made it possible to coordinate a team of researchers sitting in different countries&#10;Excellent customer support
> 
> **Cons**: The visualization of the coding results is a bit dull in terms of design but one can always export results in another programme that creates more impressive visualizations
> 
> We have been using it for several years in different research projects (politics and media) and even when we performed tasks the tool is not originally designed to perform, DT performed really well (and DT was very supportive\!)

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### "Good product for data collection" — 4.0/5

> **Katie** | *18 March 2019* | Government Administration | Recommendation rating: 8.0/10
> 
> **Pros**: The ability to collect historic Twitter data and the functionality that enabled the cleaning, filtering, sorting, and analyzing of data.
> 
> **Cons**: The meta data graphs did not have controls to adjust the scale in order for two different graphs generated at different times to align.
> 
> Great customer service and assistance in using the product.

-----

### "A great Tweet coding software platform for my research" — 5.0/5

> **Jared** | *24 April 2019* | Research | Recommendation rating: 9.0/10
> 
> **Pros**: As a sociologist, I study online activism and social movements. DiscoverText has been a great way to collect and analyze Tweets related to various protest movements like \#MeToo and \#BlackLivesMatter.
> 
> **Cons**: It took a little time at first to get familiar with the platform, but once I spent some time going through the tutorials I got the hang of it.
> 
> Great tool for analyzing texts from social media, especially Twitter. It makes it especially convenient to code large data sets of Tweets.

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### "Superb cloud-based software tool with powerful text analytics with social media integration." — 5.0/5

> **Wasim** | *19 December 2017* | Higher Education | Recommendation rating: 10.0/10
> 
> **Pros**: The ability for those from the social sciences to be able to import and/or retrieve social media data, including historical data from Twitter, and analyse the data in order to answer research questions. This is because other tools may require a computer science background. Consequently, DiscoverText has been used in answering important social science questions leading to peer reviewed outputs.  Over the years I have seen many tools appear and slowly wither away, however, DiscoverText has stood the test of time and has been growing in popularity. &#10;&#10;DiscoverText is not limited to academic uses and has a number of neat uses in the commercial world.  A useful feature applicable to the commercial domain is the ability to retrieve and/or import data from Twitter and identify influential Twitter users, with the additional ability to use machine learning to sift influential users into different groups. For example, a football club may be interested to find out whether influential users are fans of the club or whether it is opposition fans causing a storm. To the best of my knowledge, no other tool is capable of doing this with this level of accuracy.
> 
> **Cons**: To be fair this is not a limitation of DiscoverText per se,  as this is a restriction from Twitter, but there is a limit to how many units of tweets can be exported per day. This is not a major issue because there are enough features in DiscoverText that you may not necessarily need to export the data. This is particularly true with a recent integration with NodeXL which provides the ability to export directly to a format supported by NodeXL.
> 
> It allowed me to conduct research that otherwise would not have been possible including both industry and academic projects.

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