--- description: Review of DiscoverText Software: system overview, features, price and cost information. Get free demos and compare to similar programs on Software Advice Ireland. image: https://gdm-localsites-assets-gfprod.imgix.net/images/software_advice/og_logo-55146305bbe7b450bea05c18e9be9c9a.png title: DiscoverText | Reviews, Pricing & Demos - SoftwareAdvice IE --- Breadcrumb: [Home](/) > [Text Mining Software](/directory/4785/text-mining-software/software) > [DiscoverText](/software/95810/discovertext) # DiscoverText Canonical: https://www.softwareadvice.ie/software/95810/discovertext Page: 1 / 6\ Next: [Next page](https://www.softwareadvice.ie/software/95810/discovertext?page=2) > DiscoverText is a cloud-based text analysis tool that helps legal, consumer services, education, government and other sectors gain insights into information from various sources including emails, text files, Facebook, Twitter and more. It lets users utilize API to search or capture data from live feeds and machine learning merged with human intervention to de-duplicate or classify large quantities of unstructured data into structured units. Key features of DiscoverText include filtering, redaction, de-duplication, topic modeling and reporting. The solution allows businesses to redact sensitive information, annotate data and attach memos to datasets or documents for coworkers, improving collaboration among team members. Additionally, users can group near-duplicate results and add filtered documents into buckets, facilitating quick user access. DiscoverText enables data scientists to discover scoring meta values or unique concepts and build topic models to automate data grouping. Pricing is available on request and support is extended via email and online helpdesk. > > Verdict: Rated **4.6/5** by 111 users. Top-rated for **Likelihood to recommend**. ----- ## 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 50 Simultaneous DiscoverText Accounts-Per Year-$125,000.00 (Your Cloud) 250 Simultaneous DiscoverText Accounts-Per Year-$200,000.00 (Your Cloud) Institutional Unlimited DiscoverText Accounts-One Time-$500,000.00 (Your Cloud) · There is no charge for installation, set-up, and initial testing. · We suggest in-house, Azure or AWS for a cloud hosting service. · The client must own the contract and pay the bill for their own cloud service. · We offer training and project support in English, French and Arabic. · Machine-learning applications require an institutional uClassify license. Tier 2 1 User-Per Year-$10,000.00 (Texifter Cloud) 1 User-Per Month-$1,000.00 (Texifter Cloud) · Texifter assumes all cloud hosting and computing costs and runs the software out of the United States. · Default storage is 100,000 units of text and associated metadata for monthly and 500,000 for yearly offers. · 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 - AI/Machine Learning - API - Access Controls/Permissions - Boolean Search - Collaboration Tools - Commenting/Notes - Dashboard - Data Extraction - Data Import/Export - Document Classification - Document Management - Filtering - Full Text Extraction - Full Text Search - Keyword Search - Language Detection - Metadata Management - Predictive Modeling - Reporting & Statistics - Search/Filter ## Integrations (2 total) - SurveyMonkey - Twitter/X ## Support Options - Email/Help Desk - Knowledge Base - Phone Support ## Category - [Text Mining Software](https://www.softwareadvice.ie/directory/4785/text-mining-software/software) ## Related Categories - [Text Mining Software](https://www.softwareadvice.ie/directory/4785/text-mining-software/software) - [Electronic Discovery Software](https://www.softwareadvice.ie/directory/4517/ediscovery/software) ## Alternatives 1. [Everlaw](https://www.softwareadvice.ie/software/20195/everlaw) — 4.9/5 (87 reviews) 2. [Nextpoint](https://www.softwareadvice.ie/software/41155/nextpoint) — 4.4/5 (234 reviews) 3. [Lexbe eDiscovery Platform](https://www.softwareadvice.ie/software/140827/lexbe) — 4.6/5 (60 reviews) 4. [CloudNine](https://www.softwareadvice.ie/software/130270/cloudnine) — 4.8/5 (52 reviews) 5. [CaseFleet](https://www.softwareadvice.ie/software/100640/casefleet) — 4.7/5 (39 reviews) ## Reviews ### "Great qualitative analysis tool" — 5.0/5 > **Alexandra** | *30 August 2019* | Research | Recommendation rating: 9.0/10 > > **Pros**: The possibility of training the machine into coding massive amounts of data is definitely a plus. Additionally, having multiple human coders train the algorithm allows for interrater reliability and further calibrations. > > **Cons**: It is best to take the freedom and fidget with the tool before proceeding and setting up your project, as the documentation is not 100% thorough. > > I have worked on a number of projects using Discovertext, and the experience of coding large qualitative datasets in a relatively short time is a big plus. ----- ### "The best tool for textual Twitter analysis" — 5.0/5 > **Enrique** | *28 January 2019* | Marketing & Advertising | Recommendation rating: 9.0/10 > > **Pros**: Very good integration between Twitter API and text analytical suite. Once you start to use it you will need it in another platforms and with another APIs. Robust and functional, easy to use from the very beginning... > > **Cons**: Probably the old fashioned user interface, but friendly\!\!\! ----- ### "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 Very user-friendly Coder monitoring/adjudication feature made it possible to coordinate a team of researchers sitting in different countries 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\!) ----- ### "the best app constantly evolving" — 5.0/5 > **Sejin** | *3 December 2018* | Education Management | Recommendation rating: 10.0/10 > > **Pros**: I am quite satisfied the fact that I eventually found the right app in analysing textual data in twitter\!\! This should be widely marketized among researchers who are interested in discourse analysis > > **Cons**: It would be nicer if you are popular among academics and if we have a course to learn how to use the programme > > I was sad after knowing that Twitter actually wants money from the company in retrieving data that should not be charged I think.. ----- ### "Great software for social media-based studies" — 5.0/5 > **Nahed** | *13 November 2018* | Research | Recommendation rating: 9.0/10 > > **Pros**: How easy it is to use it. It did not take long for me to get the hang of the most basic features the software offers. > > **Cons**: There are some features that were harder to use than others, but customer service was a great help in setting up and/or explaining these issues. > > Overall, it was a great software for my research. So far, I have produced two different studies that were based on DiscoverText Twitter data analysis, one of which is already published. So, Thank you\! ----- Page: 1 / 6\ Next: [Next page](https://www.softwareadvice.ie/software/95810/discovertext?page=2) ## Links - [View on SoftwareAdvice](https://www.softwareadvice.ie/software/95810/discovertext) ## This page is available in the following languages | Locale | URL | | en | | | en-AU | | | en-GB | | | en-IE | | | en-NZ | | ----- ## Structured Data