Free and open-source software for computer-assisted qualitative data analysis
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Updated
Jul 26, 2026 - R
Free and open-source software for computer-assisted qualitative data analysis
AI 创始人 & 研究员长访谈深度分析库 | 张小珺商业访谈录、WhynotTV、雪球《方略》结构化拆解:段永平、姚顺宇、翁家翌、何小鹏、杨植麟(Kimi)、罗福莉、张鹏(智谱)
AI-powered interview analytics platform that evaluates candidates using computer vision, NLP, and speech analysis to generate data driven performance insights.
Full-stack AI interview analysis MVP using FastAPI, Whisper, NLP scoring, PostgreSQL, Next.js, and Streamlit.
AI-powered interview transcript analysis platform built with FastAPI, LangGraph, and Next.js 15. Transform interview transcripts into actionable insights using Claude AI with timeline extraction, entity recognition, and sentiment analysis.
给用户研究员的AI分析助手:通读所有资料,找盲区,查矛盾,给可验证的结论。claude代码插件
AI-powered customer interview analysis tool — semantic search, insight extraction, and research synthesis built for the Great Question stack.
Transforms raw transcripts (interviews, podcasts, calls) into structured, clean Q&A digests.
Analyze Chinese promotion interview transcripts into evaluator reviews, panel feedback, reflection questions, and formal feedback drafts for OpenClaw, Claude Code, and Codex.
Open-source, agent-native qualitative research platform. Code interviews with reviewable AI suggestions, confirmed-evidence states, and a full audit trail. A transparent alternative to NVivo, ATLAS.ti, and Dovetail. Apache-2.0.
Agent skill for analyzing CRM and customer-process interview transcripts across languages.
Turn customer interviews into JTBD maps, product opportunities, briefs, and hypotheses with a universal AI agent skill.
DINOH Evaluation: synthetic examples and evaluation methods for oral-history assistance. Placeholder model backend; no model-performance results. OHPIPE is developed separately.
AI-powered web app for interactive interview simulations. Features a Python backend, web UI, and session history for practicing technical and behavioral interviews.
AI Soft Skill Analyzer is a web-based AI application that analyzes communication skills from video uploads using speech recognition, NLP, audio analysis, and computer vision. It evaluates grammar, fluency, confidence, vocabulary, eye contact, and filler words, then generates detailed scores and feedback reports
Four channels under every recorded interview - words, prosody, face, and heartbeat recovered from webcam pixels. Notes on what's possible.
callgen: turn any recording of a call into one self-contained HTML readout. Local Whisper, multi-agent analysis, glyph-first SVG figures, hard verbosity caps, adversarial fact-check, hold-out comparison. Vite/React/Motion/R3F page or vanilla template.
A multi-agent system for qualitative content analysis based on Mayring's method. Combines OpenAI agents and vector search to automate segmentation, coding, and category refinement of interview data.
Know what to build next from your customer interviews
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