Content Analysis Python Packages

cat-llm

Classify, extract, and summarize open-ended text (survey responses, social media, academic papers, political text, web content) at scale with LLMs. Python, R, and Stata.

cactool

An easy way to collaboratively code social media posts for manual content and discourse analysis

ssai

Unleash the power of AI with SuperSummarizeAI! Effortlessly extract, condense, and clip content from webpages and YouTube videos using ChatGPT. Turning endless streams of content into digestible summaries.

nichescan

Douyin/TikTok short-video transcript, ASR and viral hook analysis. Ranks competitor content by save ratio instead of likes. 抖音短视频语音转文字、爆款开头分析、竞品收藏率排序。

qdapy

Analyse the qualitative coding exported by the zotQDA and qdaZ Zotero plugins, or from REFI-QDA projects

text-structura

A new package that takes user-provided text input and returns structured, validated output using pattern matching to ensure consistent formatting. It processes text extracted from various sources like

media-summarizer

A new package designed to interpret and summarize user-provided textual descriptions of multimedia content, such as videos or audio transcripts, to generate structured overviews or insights. It allows

text-theme-scribe

text-theme-scribe extracts recurring themes from text and returns a structured list of key concepts via LLM, ensuring consistent formatting.

vidlytics

vidlytics extracts text from multimedia, generates domain-specific summaries & insights from prompts, enabling quick understanding without direct video processing.