Best Qualitative Data Analysis Software
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Compare the Top Qualitative Data Analysis Software as of June 2025
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What is Qualitative Data Analysis Software?
Qualitative data analysis software helps researchers and analysts organize, interpret, and draw insights from non-numerical data such as interviews, text, images, and audio recordings. These tools enable users to categorize and code data, identify patterns, and track themes across datasets, making it easier to handle large amounts of qualitative information. Features often include data visualization, text search, and annotation capabilities, allowing for more structured and efficient analysis. By automating certain aspects of the analysis process, qualitative data analysis software improves accuracy and speeds up research workflows. Overall, this software is essential for researchers looking to analyze complex, narrative-rich data in areas like social sciences, market research, and healthcare. Compare and read user reviews of the best Qualitative Data Analysis software currently available using the table below. This list is updated regularly.
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Visual Layer
Visual Layer
Visual Layer is a platform for working with large volumes of image and video data. It supports visual search, filtering, tagging, and dataset structuring across raw files, metadata, and labels. No code is required, and both technical and non-technical teams use it in production. Common applications include curating datasets for machine learning, auditing visual content for compliance, reviewing surveillance material, and preparing media for downstream platforms. The platform detects duplicates, mislabeled items, outliers, and low-quality files to improve data quality before model training or operational decision-making. It is model-agnostic, supports both cloud and on-premise deployment, and is built by the creators of Fastdup, the widely used open-source tool for visual deduplication.Starting Price: $200/month -
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JADBio AutoML
JADBio
JADBio is a state-of-the-art automated Machine Learning Platform without the need for coding. With its breakthrough algorithms it can solve open problems in machine learning. Anybody can use it and perform a sophisticated and correct machine learning analysis even if they do not know any math, statistics, or coding. It is purpose-built for life science data and particularly molecular data. This means that it can deal with the idiosyncrasies of molecular data such as very low sample size and very high number of measured quantities that could reach to millions. Life scientists need it to understand what are the features and biomarkers that are predictive and important, what is their role, and get intuition about the molecular mechanisms involved. Knowledge discovery is often more important than a predictive model. So, JADBio focuses on feature selection and its interpretation.Starting Price: Free -
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LiveTiles
LiveTiles
An Enterprise intranet and digital workplace solution based on Microsoft SharePoint and Microsoft 365, that includes an employee communications platform, people Directory and all the tools you need for internal communications. The LiveTiles Everywhere panel lets you effortlessly glide between core business tools while working on the go in MS Teams and SharePoint. Some intranets are black holes where content vanishes unseen. LiveTiles Intranet is different. Across space and time, LiveTiles Intranet connects everyone. The LiveTiles Quantum platform optimizes your digital workplace with Analytics to drive decision-making, Bots to automate tedious tasks, and Directory to keep staff details current. From your office to the outer reaches of the workplace, the Reach app keeps all workers in the loop, regardless of location and device.Starting Price: $1200 / year -
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CATMA
CATMA
CATMA is a web application for text annotation, analysis and visualization. It is specifically designed to emulate the flexible workflows of hermeneutic text interpretation. In CATMA you can work the way, which best fits your research question: qualitative or quantitative, bottom-up and exploratory, or descriptive and taxonomy-guided, individually or in a team—you choose. Version 6 comes with a bunch of new features. CATMA’s architecture is now centered around projects. Projects can contain Documents, Annotations, Tagsets and Members. The new roles-and-rights management options for project members make collaborative annotation easier to structure and organize. Analysis options via queries and visualizations have been improved and are now closely integrated. A set of pre-selected standard queries as well as several new visualization options are available. The user interface has been given a complete makeover. With its new and clear look, CATMA is now even more intuitive to use.
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