Condens vs KH Coder

Condens is a UX research repository and AI analysis platform for centralizing customer knowledge and producing evidence-backed insights. Teams can search research for patterns and existing answers, while a split view connects raw data to findings and links each insight to source evidence. Condens AI generates answers from research data while leaving users in control of outputs. Recordings are transcribed with timestamps, speaker recognition and support for more than 85 languages. Users can create transcript clips and highlight reels and share them through browser links without audience logins. Condens runs in the cloud on web and through an API, with named connections for Zoom, Google Drive, Typeform, Figma, Miro, Slack and Microsoft Teams. Business includes ChatGPT and Claude connections; Enterprise lists custom and internal LLM connections. Lite starts at €15 a month, with a 15-day trial. Condens states that aspiring researchers and educational researchers can use it free.

KH Coder is software for quantitative content analysis, text mining, and computational linguistics. It can be used with free-response survey answers, interview records, newspaper articles, and other text. The analysis options include word-frequency lists, keyword searches, KWIC, cluster analysis, multidimensional scaling, co-occurrence networks, correspondence analysis, self-organizing maps, and coding cross-tabulations. Visualizations include network views with betweenness centrality and community detection, correspondence-analysis plots, heatmaps, line charts, and bubble plots. Statistical analyses can be viewed with the source-text context, and analysis can run without an internet connection. The English site lists text support for Catalan, Simplified Chinese, Dutch, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Slovenian, and Spanish. KH Coder runs on Linux, macOS, and Windows, with on-premise deployment. Users can customize it by editing R and MySQL code. The free Windows Starting Edition limits analyzable data and some features and is an older beta; the paid Base Edition is presented as the full version. The Mac Edition costs $99.00 USD once and requires Apple silicon, macOS 11 or later, and 5 GB of available disk space.