- Home
- Text Analytics Software
- DiscoverText
DiscoverText
Vancouver, British Columbia, Canada
What it is
DiscoverText is a cloud-based toolkit for mining, annotating and analyzing multilingual text collections. It works with free text and metadata from sources such as surveys, customer feedback, CRM, chats, email, public comments, X/Twitter and RSS feeds. Users can build reusable machine classifiers called sifters to find relevant items and sort them by topic, sentiment or other categories. Its described workflow combines machine learning with human annotation, crowdsourcing, adjudication, measurement and iteration. For eDiscovery, it supports deduplication, clustering near-duplicates and document redaction that can produce Bates-stamped, spreadsheet-indexed PDF collections. Students and professors may receive free access, training and project support; academic group licenses are also listed as free. Professional costs $99/mo, and Enterprise costs $3,000 / month. The API is for licensed Enterprise users granted an API key. The maker says real-time Twitter collection is no longer available and that it is not connected to Facebook’s open API.
For and against
For
- Build reusable machine classifiers.
- Supports sentiment and topic analysis.
- Includes deduplication and near-duplicate clustering.
- Academic group licenses are listed as free.
Against
- API access requires a licensed Enterprise account and API key.
- Real-time Twitter collection is unavailable.
- Search and some reporting API functions are forthcoming.
The verdict
DiscoverText brings machine classification, human annotation and document analysis together in a cloud service. Consider its stated social-data limits and plan requirements when deciding whether it fits your sources and workflow.
Who it suits
DiscoverText suits researchers and organizations working with multilingual text collections, including teams that need annotation or eDiscovery tools. Students and professors may be eligible for free academic access and support.
Plans and prices
Professional
100,000 Units · 25 Live Data Feeds · 1 Professional Seat · 0 Enterprise Seats
Read 1 Oct 2026 · app.discovertext.com
Enterprise
1,000,000 Units · 100 Live Data Feeds · 1 Enterprise Seat · 2 Professional Seats
Read 1 Oct 2026 · app.discovertext.com
Custom Enterprise
Custom account package
Read 1 Oct 2026 · app.discovertext.com
On the record
- Academic access
- Students and professors can receive free access, training, and project support directly from the founder; a separate page says academic group licenses are 100% free.discovertext.com · read 1 Oct 2026
- API access
- The API is for licensed Enterprise users whose license has been granted an API key.api.discovertext.com · read 1 Oct 2026
- API capabilities
- The API documentation lists project, archive, bucket, dataset, deduplication, clustering, and tag-cloud operations; search, word-cloud building, and some reporting are marked as forthcoming.api.discovertext.com · read 1 Oct 2026
- Classifiers
- Users can build reusable custom machine classifiers called “sifters” to identify relevant items and classify text into topics, sentiment, and other categories.discovertext.com · read 1 Oct 2026
- Company
- The pricing page identifies Texifter, Inc. as the copyright holder.app.discovertext.com · read 1 Oct 2026
- Data sources
- The product is described for analyzing free text and metadata from sources including surveys, customer feedback, CRM, chats, email, public comments, X/Twitter, and RSS feeds.discovertext.com · read 1 Oct 2026
- eDiscovery
- The product supports deduplication and automated clustering of near-duplicates, and document redaction that can produce Bates-stamped and spreadsheet-indexed PDF collections.discovertext.com · read 1 Oct 2026
- Human and machine coding
- The maker describes combining human annotation, crowdsourcing, adjudication, measurement, iteration, replication, and annotator ranking with machine learning.discovertext.com · read 1 Oct 2026
- Purpose
- DiscoverText provides cloud-based tools for multilingual text mining, annotation, machine learning, and analysis of large amounts of text.discovertext.com · read 1 Oct 2026
- Social data access
- The maker says it does not store or access social data except Twitter, while researchers may upload non-Twitter data they already have in spreadsheets.discovertext.com · read 1 Oct 2026
- Support
- The pricing page lists standard support for Professional and priority support for Enterprise.app.discovertext.com · read 1 Oct 2026
- Trial
- The pricing page says a free trial account is available for up to 30 days with enterprise-level features; the trial signup page separately labels its offer a 7-day free trial.app.discovertext.com · read 1 Oct 2026
- Twitter collection limit
- The maker says DiscoverText can no longer collect Twitter data in real time and says it has not been connected to Facebook’s open API since 2014.discovertext.com · read 1 Oct 2026
