Skimle
Skimle transforms unstructured qualitative data into structured, analyzable datasets using AI. Unlike RAG chatbots that retrieve random passages, Skimle systematically processes entire document sets upfront—analyzing each section, extracting insights, and organizing them into hierarchical theme taxonomies.
Upload interview transcripts, PDFs, audio/video, reports, or any qualitative data. Skimle's worklow (inspired by academic thematic analysis) codes every passage, identifies patterns, and creates a "spreadsheet" where documents are rows and themes are columns. Every insight links to verified quotes - no hallucinations.
100+ languages, 1,000+ docs/project, GDPR-compliant EU storage, full traceability (themes↔quotes), editable categories, AI reasoning chat, export to Word/Excel/PowerPoint reports etc.
Why different: Combines academic-grade rigor with AI speed. What takes weeks in NVivo or other legacy tools takes hours in Skimle, with full audit trails for peer review.
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COSTAQDA
COSTAQDA: A Comprehensive Solution for Qualitative Data Analysis and Literature Review, integrating AI efficiencies for optimum results.
COSTAQDA (Coding, Ordering, Searching, Testing Analysis Qualitative Data Analysis) is an advanced software tool designed to cater to the intricate needs of researchers, academics, and organizations involved in qualitative and mixed-methods research. Created by Prof. King Costa, COSTAQDA is distinguished by its comprehensive functionality, user-friendly interface, and powerful collaborative features that streamline the entire qualitative data analysis process.
At its core, COSTAQDA offers a versatile and dynamic environment for coding qualitative data. The software supports various coding techniques, including descriptive coding for labelling and categorizing data, narrative coding for identifying stories or sequences within the data, and causative coding for exploring cause-and-effect relationships.
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WordStat
WordStat is a flexible and easy-to-use text analysis software – whether you need text mining tools for fast extraction of themes and trends, or careful and precise measurement with state-of-the-art quantitative content analysis tools. WordStat can be used by anyone who needs to quickly extract and analyze information from large amounts of documents. Our content analysis and text mining software can be used in many applications such as analysis of open-ended responses, business intelligence, content analysis of news coverage, fraud detection and more. WordStat‘s seamless integration with SimStat – our statistical data analysis tool – QDA Miner – our qualitative data analysis software – and Stata – the comprehensive statistical software from StataCorp, gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.
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Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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