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QDA Miner is an easy-to-use qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. QDA Miner qualitative data analysis tool may be used to analyze interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other types of visual documents. Its seamless integration with SimStat, a statistical data analysis tool, and WordStat, a quantitative content analysis and text mining module, gives you unprecedented flexibility for analyzing text and relating its content to structured information including numerical and categorical data.


Who uses QDA Miner?

QDA Miner qualitative data analysis software can be used by anyone who needs to code text or pictures, annotate, search,  explore and extract information from small or large collections of documents and images, including:

Researchers in social sciences, medicine, and psychology

Sociologists, political scientists and ethnographers

Business intelligence analysts, market researchers, pollsters, and CRM professionals

Crime analysts, fraud detection experts, lawyers,  and paralegal professionals

Journalists, historians and research assistants

Document management specialists and librarians



More Computer Assistance on Coding

QDA Miner offers more computer assistance for coding than any other qualitative research software on the market, allowing you to code documents more quickly but also more reliably. Other qualitative research tools typically offer a single text search tool to extract sentence or paragraphs containing specific words or phrases (what we call a Boolean search). QDA Miner offer not just one but seven text search and retrieval tools, allowing you to achieve more reliable coding in less time. Let’s look at some of these:

The Keyword Retrieval tool can search in a single pass for hundreds of keywords and key phrases related to the same idea or concept, allowing you to locate all references to a single topic, no matter which words were used to express this idea.

The Section Retrieval tool is ideal to automatically retrieve and tags sections in structured documents, allowing you, for example, to quickly attach codes, to turn in interview or focus group transcripts, or code a specific section in a collection of reports sharing the same structure.

The Query by Example tool can be trained to retrieve text segments having similar meaning to the examples you feed in. It will expand and refine its search based on the relevance feedback you provide.

The Cluster Extraction tool will group similar sentences or paragraphs into clusters and allow you to code these using a flexible drag-and-drop editor. It is very useful to quickly code large amounts of short text items such as open-ended responses, Twitter feeds and customer feedback. A real timesaver!

The Code Similarity search will retrieve all text segments similar those that have already been coded, allowing you to identify sentences or phrases you may have missed. It may also be used to speed up the coding of partially coded projects. One may even search for items similar to codes defined in previous coded projects.

The Date and Location extraction tool is ideal to quickly locate and tag references to events or to geographic locations. One may then attach specific codes, geotags or time tags to the retrieved items.


More Computer Assistance for Analyzing

QDA Miner integrates statistical and visualization tools such as clustering, multidimensional scaling, heatmaps, correspondence analysis and sequence analysis. It can also compute statistical tests such as Chi Square, Pearson Correlation and so on, to help you identify the strongest relationships. No need to purchase separate statistical software or transfer data to another application. You can quickly identify patterns and trends, explore patterns in your coding, as well as describe, compare and test hypotheses without the need to even leave the software. This is one of the reasons why QDA Miner is considered by many to be the first and still only true, mixed methods qualitative software on the market today.


More Assistance in Report Writing

QDA Miner offers more assistance for reporting than any other QDA software. You can easily create, within QDA Miner, presentation-quality graphics such as bar charts, pie charts, bubble charts and concept maps, and export them as required to Microsoft Word, Excel, Powerpoint, HTML and other popular formats. Also, its unique Report Manager tool allows you easy, single-location storing of queries and analysis results; tables and graphs; as well as research notes and quotes. It also helps you organize information, structure findings, and draft interpretations, or to assemble any other relevant pieces of information that you may wish to include in your final report. Once you are ready, the structured information may be exported to Microsoft Word, RTF or HTML for final editing.


More Assistance for Teamwork

Large qualitative research projects often require the effort of multiple coders. QDA Miner offers assistance in such situation by providing enhanced teamwork support features like a flexible multi-user settings tool that allows you to define for each team worker what they can or cannot do. QDA Miner will assist you in duplication and distribution of projects to team members. It also provide a powerful merge feature bringing together, in any single project, codings, annotations, reports, and log entries of different coders working independently. It also offers a unique inter-raters agreement assessment module, that may be use to ensure the coding reliability of multiple coders.


More Computer Assistance for Larger Projects

A single QDA Miner project can hold tens of thousands of documents, or hundreds of thousands of short text responses. Even with such large projects, the software will use a limited amount of computer resources (memory & CPU time). Our development team has spent a great deal of time optimizing the software for speed, so even when performing complex searches, advanced statistical analysis, or when creating large reports, QDA Miner will responds quickly.

QDA Miner provides an easy way to manage documents, and perform common qualitative analysis tasks.



Storing and editing of documents in Rich Text format.

Project files organized by cases, each case can contain up to 2030 variables including multiple documents, numeric, nominal/ordinal, date or Boolean values.

Importation from various file format such as Excel, Access, Paradox, dBase, SPSS, NVivo, N6, Atlas.ti, Transana, Transcriber, etc.

Document conversion wizard allows one to easily import documents from various file format and to automatically extract numeric and alphanumeric values.

Copy, backup and restore existing projects files.

Easy filtering of cases.



Easy creation and edition of codebooks (hierarchical).

Intuitive drag and drop assignment of codes to text segments and images..

Notes can be assigned to projects, codes and coded segments.

Code merging, splitting, virtual grouping as well as search and replace.

Ability to import codebooks from other projects.





The Text Retrieval tool searches for specific text patterns in documents. Complex search patterns may be performed using Boolean operators, wildcards and thesaurus searches. Retrieved paragraphs, sentences of text segments may then be coded or saved to disk (as new project, in HTML, Excel, or delimited text files).



The Section Retrieval tool searches structured documents for sections bounded by fixed delimiters. This feature is useful to automatically assign codes to recurring sections within a document or in multiple documents.

The Keyword Retrieval feature can retrieve any document, paragraph, sentence, or coded segment containing a specific WordStat keyword or a combination of keywords.

The Coding Frequencies tool allows one to obtain a list of all codes in the current codebook along with their description and various statistics such as their frequency, the number of cases in which they are found, and the total number of words in the associated text segments. This dialog box also allows one to produce bar charts and pie charts from those statistics.

The Coding Retrieval tool lists all text segments associated with some codes or with specific patterns of codes. Complex search patterns may include criteria such as equality, proximity, overlapping, inclusion, sequential relationships, as well as Boolean operators (AND, OR, NOT).



The Codes Co-occurrences tool uses information about the proximity or the co-occurrence of codes within documents to explore potential relationships among them as well as similarities among cases. This feature gives access to various statistical and graphic tools such as hierarchical cluster analysis, multidimensional scaling, and proximity plots.



The Coding Sequences tool can be used to identify recurring sequences of codes. This feature can produce frequency lists of all sequences involving two selected sets of codes as well as the percentage of times one code follows or is followed by another one.



The Coding by Variable tool is useful for identifing or testing potential code similarities or differences between subgroup of cases (categorical variable) or to assess the relationship between these codes and other numerical variables. Various statistical and graphical tools are used for this purpose such as contingency tables, association statistics, bar charts, line charts, heatmaps, correspondence plot, etc.



The Coding Agreement tool is used to compare the consistency of coding between several coders. Such a tool can be useful to uncover differences in interpretation, clarify equivocal rules, identify ambiguity in the text, and ultimately quantify the final level of agreement obtained by those raters. Computes of percentage of agreement, correction for chances (Free Marginal, Scott’s Pi, and Krippendorff’s alpha), list of disagreements, etc.



Optional Quantitative Content Analysis and Text Mining module. WordStat is a powerful quantitative content analysis and text mining software. When used as an add-on to QDA Miner, it analyzes words and phrases found in specific documents or in selected coded segments. WordStat can perform simple descriptive analysis or explore in greater details the relationships between words or categories of words and other numeric or categorical variables.

Optional Statistical Analysis module. Simstat is a comprehensive statistical analysis application. Since it uses the same file format as QDA Miner, Simstat can be used to perform statistical analysis on any numerical data stored in a QDA Miner project file. It can also perform numeric and alphanumeric computation, transformation and recoding of variables, as well as advanced file management procedures such as data file merging, file aggregation, etc.



The program interface is currently available in English, French and Spanish. Contact us for information on the availability of other languages.



Saving of tabular outputs to disk in Excel, HTML, XML, plain text, comma or tab separated value or as a Word document..

Saving of graphics to disk as BMP, WMF, JPG, or PNG files.

Documents may be exported to disk in plain text, RTF or HTML.

Whole projects, including tagged documents, may be exported to disk in XML format.



The Security/Multi-Users feature allows to control users privileges and restrict access of selected features (prevent modification to documents, variables, or cases, prevent viewing codes assigned by other users, etc.).


The Merge Projects feature allows one to combine two or more project files into a single one, allowing one to synchronize one’s own work performed on different computers. As well, both an individual or various team members may work on the same set or different sets of documents and then merge them along with their associated codings into a single master project.

What’s New in Version 5.0

QDA Miner 5 is full of exciting new features and improvements. Here are some of the new applications that will help researchers and businesses keep abreast of the latest trends and give them faster access to the waves a new data being created every day.

Version 5.0 gives you new ways to access and analyze unstructured data. You can easily import web surveys, social media, email providers and reference management tools. The new GIS mapping tool allows you to relate geographic information in unstructured data, create maps and other graphic displays to enrich your analysis and presentations.



QDA Miner 5 expands your reach to analyze unstructured data for your research or business needs. Import data from major email providers, web survey companies, social media and RSS feeds.


Web Survey Platform






Reference Management Tools




Email sources

Outlook account and PST files

Hotmail account

Gmail account



Social Media



RSS Feeds


Qualitative Software for Survey Analysis



Twitter and Facebook are a great source for getting the instantaneous pulse of people’s opinion, while RSS feeds are a good way of keeping oneself informed about what’s new on the web. In QDA Miner 5, not only can you create projects from a search on twitter, facebook or through an RSS feed, it comes with a standalone tool that will continually monitor in the background those sources and aggregate tweets, facebook comments or news on specific topics, allowing you to keep your data current.



Twitter and RSSfacebook



A graphical overview of the codings of the current document can be displayed allowing one to get a quick glimpse of the spatial distribution of the coding. Bars can be sorted in alphabetical, frequency, first appearance, in codebook order, or by color hue. They may also be stacked to easily compare coding importance.  The graphic display can be zoomed in or out, saved to disk or copied to the clipboard. Clicking a bar brings you the location of the corresponding segment in the text.


QDA Miner Document Overview



A new Link Analysis feature allows one to display co-occurrence of coding using force-based, multi-dimensional scaling or circular layouts. Graphs are interactive and may be used to explore connections between codings.



Link Analysis



Integrated geocoding service is available in QDA Miner to transform references to cities, states, provinces, countries, postal codes, and IP addresses into geographical coordinates. IP addresses may also be used to obtain the city, region or country of origin.



Plots of data points can be created from various retrieval dialogs (CODING RETRIEVAL, CODE SEQUENCE ANLAYSIS, CODING BY VARIABLES, and LINK RETRIEVAL. The GISViewer mapping module will then allow one to quickly filter data points on categorical, numerical, and date variables or create dynamic range displays and custom animations to easily identify temporal trends, cyclical patterns or relationships to numerical variables. Single data points can be customized and annotated.






Users can create layers from various vector file formats and produce choropleth maps to represent point density, demographic information stored in shapefiles, or statistical summaries of numerical values associated with text segments. One can also easily adjust the color range, the number of steps and level of transparency



Thematic map



Density of data points can be visualized with heatmaps displays to easily identify customer concentrations, crime hot spots, or disease outbreaks. Users can also create heatmaps on all data point or just on selected regions and choose from a wide variety of color ramps or create their own



Heat Map



A new tree grid report format for the CODING FREQUENCY and the CODING BY VARIABLE commands allows you to view the results organized according to the codebook hierarchical structu



Tree grid display



Duplicate cases may occur for many reasons, including data importation, data entry or data management errors, or may occur naturally such as twitter and other online sources (ads, news lines, press releases, etc.).  Such duplication may affect the program’s ability to extract relevant features (topics, phrases, etc.) or statistics. The new CASES | DUPLICATES command allows one to identify, tag, select, filter out, or delete duplicate observations. A variable can be created to indicate whether a case is unique, has duplicates (primary) or is such a duplicate. A numerical variable with sequential values may also be created and used for ordering cases on their content



The new CASES | MONITORING command allows you to configure a QDA Miner project to monitor a specific folder, and automatically import any documents and images stored in this folder. File may then be automatically deleted or moved to another location. It can also monitor changes to the original source file or online service such as web services, E-mail accounts or reference management tools, allowing you to import any new case, survey response, email, tweet, and so on.


A new VARIABLES | EXTRACT command allows you to transform coded text into variables, with optional extraction of dates, date and time, numeric values, or text strings. Very useful to extract relevant meta data from unstructured documents or transform an unstructured project into a structured one.



JPEG photos and images may contain a lot of information, such as the geographic location where a photo has been taken, a title and description added by its author, or even comments or tags attached by him or by viewers. The new importation routine allows to import all those information and transform them into variables.  One may then use those variables in combination to the new GIS feature to plot coded image properties on a map, look at their spatial distribution. Extracted information currently includes:

Geographic coordinates (latitude and longitude)






Camera maker and model



The new DOCUMENTS | CHART feature allows one to create bar charts, pie charts or tag clouds representing the distribution of codes in a single document.



QDA Miner already has an excellent reputation for its speeds of processing (retrieval, autocoding, text analysis) especially with large datasets. Further optimization and redesign allowed us to achieve even faster processing speeds, something that will be surely appreciated by those analysing very large data sets. Here are a few examples of speed improvements we obtained:

Link Retrieval – up to 15x faster
Saving of code statistics – up to 13x faster
Merging of projects – up to 15x faster
Extraction of comments – up to 10x faster
Loading of data in spreadsheet editor – up to 6x faster
Co-occurrence analysis – 3.5x faster
Automatic Classification 3.x faster
Sequence analysis – 2x faster
Code consolidation – 2x faster



QDA Miner 4.x introduced the ability to store rotating three dimensional graphics such as multidimensional scaling or correspondence plots in AVI movie files. We added in version 5.0 the ability to store those animations in a PowerPoint as well as in an Animated GIF file for more portability, more flexibility.



Imported images may be rotated and resized. Existing coding is automatically adjusted to the new size or image orientation.


Presentations stored in PowerPoint .ppt or .pptx files or books in EPUB format can now be imported directly in QDA Miner 5.0.



Qualitative analysis is very time consuming, and moving from one qualitative software to another one would be a huge endeavor if one had to start from scratch. QDA Miner 5.0 integrates its NVivo to QDA Miner conversion wizard to guide you through the steps needed to convert your NVivo 7 to NVivo 11 project into a QDA Miner project (documents, images, codebooks, codings, memos, etc.).



Extract gazetteers from SHP, KML, KMZ, GPX or from our online geographical database.



A new variable selection feature allows one to include numerical, categorical or date variables when one use WordStat to compare text associated with QDA Miner codes.



A new date and time variable has been added, allowing one to associated a precise time stamp to cases.



New variable type transformations have been added for greater flexibility.

String -> Date & Time
Date & Time -> String
Nominal -> Date
Nominal -> Date & Time
String -> Integer
String -> Double



In order to transform numerical values into ordinal classes one had to transform the numerical variable into a string or an ordinal/nominal variable prior to the recoding operation.  The improved RECODE dialog box can now automatically detect when a nominal variable is needed and perform the variable type transformation and recoding in a single operation.



It is now possible to attach a memo to a codebook category.



Columns in many tabular reports may now be reordered using simple drag-and-drop operations.



String variables can be resized, allowing one to store longer string of text or strip down long variables.



A new option has been added to import the document creation date.



Faster display, better support of multi-languages including right to left languages.



QDA Miner Perpetual Licence

Licence Agreement


This software and the disk on which it is contained are licensed to you, for your own use. This is copyrighted software owned by Provalis Research Corp.. By purchasing this software, you are not obtaining title to the software or any copyright rights. You may not sublicense, rent, lease, convey, modify, translate, convert to another programming language, decompile, or disassemble the software for any purpose. You may make as many copies of this software as you need for backup purposes. You may use this software on up to two computers, provided there is no chance it will be used simultaneously on more than one computer.


The QDA Miner product is licensed “as is” without any warranty of merchantability or fitness for a particular purpose, performance, or otherwise. All warranties are expressly disclaimed. By using the QDA Miner product, you agree that neither Provalis Research nor anyone else who has been involved in the creation, production, or delivery of this software shall be liable to you or any third party for any use of (or inability to use) or performance of this product or for any indirect, consequential, or incidental damages whatsoever, whether based on contract, tort, or otherwise even if we are notified of such possibility in advance. (Some states do not allow the exclusion or limitation of incidental or consequential damages, so the foregoing limitation may not apply to you). In no event shall Provalis Research’s liability for any damages ever exceed the price paid for the license to use the software, regardless of the form of claim. This agreement shall be governed by the laws of the province of Quebec (Canada) and shall inure to the benefit of Provalis Research and any successors, administrators, heirs, and assigns. Any action or proceeding brought by either party against the other arising out of or related to this agreement shall be brought only in a PROVINCIAL or FEDERAL COURT of competent jurisdiction located in Montréal, Québec. The parties hereby consent to in personal jurisdiction of said courts.


QDA Miner Annual Site Licence-QDA Miner Department Licence

Licence Agreement


A department wide site license allows the installation of the software on all computers in the designated department as well as the distribution of copies of the manual and software to all employees and faculties and to all full time students taking a course provided by the department. This license expires one year after the purchase of the license. All updates during this time period are free and can be obtained from our web site at www.provalisresearch.com. The price for the renewal of this license is guaranteed not to exceed the initial price paid for the software for a period of at least two additional years. This license does not allow the use of the software for commercial purpose or paid contracts and should be restricted to employees of the university and to full time students. A special license for commercial uses may however be obtained at a reduced price by contacting Provalis Research. The department wide site license excludes affiliated research centers as well as employees and researchers whose salaries are not paid by the university. Provalis Research reserves the right to limit customer supports to a few designated individuals. While we may offer occasional support to individual users, if the number of persons asking for support becomes too important, we may require the department to designated 1 or 2 persons that will provide support to the users and will redirect questions to us if needed.

Operating System: Microsoft Windows XP, 2000, Vista, Windows 7, 8 and 10


Memory: From 256 MB (XP) to 1GB (Vista, Windows 7, 8 and 10)


Disk Space:  70 MB of disk space (21Mb for the QDA Miner Lite)


QDA Miner will run on a Mac OS using virtual machine solution or Boot Camp, and on Linux computers using CrossOver or Wine.

The QDA Miner manual can be downloaded here


English version – QDA Miner v4.0 (240 pages, about 2.5Mb)

French version – QDA Miner v3.0 (204 pages, 2Mb)

Spanish version – QDA Miner v3.2 (207 pages, 1.7Mb)



A series of short videos developed by Provalis Research, the developers of QDA Miner, offer excellent online tutorial support for conducting qualitative data analysis using the Provalis products.



© Copyright 2018 Provalis Research

QDA Miner is an easy-to-use qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. QDA Miner qualitative data analysis tool may be used to analyze interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other types of visual documents.