jimmylv/bibigpt-v1

BibiGPT v1 · one-Click AI Summary for Audio/Video & Chat with Learning Content: Bilibili | YouTube | Tweet丨TikTok丨Dropbox丨Google Drive丨Local files |...

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Summary Information

Updated 46 minutes ago
Added to GitGenius on September 10th, 2026
Created on February 26th, 2023
Open Issues & Pull Requests: 41 (+0)
GitHub issues: Enabled
Number of forks: 813
Total Stargazers: 6,208 (+0)
Total Subscribers: 34 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 95.6 days
Mean response time: 268.3 days
90th percentile: 912.2 days
Tracked items: 12

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Issue Activity (beta)

Open issues: 5
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 669 days
Stale 30+ days: 5
Stale 90+ days: 2

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (6)
  • bug (4)

Most active issues this week

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Detailed Description

BibiGPT v1 is a browser extension and web application that generates AI summaries of audio and video content and enables chat-based interaction with that content.

The tool addresses the problem of consuming lengthy multimedia by automatically extracting and summarizing content from a wide range of sources including video platforms, social media, cloud storage, podcasts, and local files. It uses large language models to process transcribed or extracted text from these sources and produce concise summaries, then allows users to ask questions about the content through a chat interface. The approach works by connecting to various platform APIs and file sources, extracting the underlying content, and passing it to AI models for analysis and conversation.

Developers and content consumers who need to quickly understand video lectures, conference recordings, social media threads, or podcast episodes would benefit from this tool. It suits workflows where users regularly encounter long-form content across multiple platforms and want to save time by getting instant summaries rather than consuming full recordings. The project is particularly valuable for educational contexts, research, and information gathering across Chinese and English-language platforms.

The project shows active development with regular commits addressing bug fixes and feature additions. The codebase demonstrates ongoing refinement of the core summarization and chat functionality. The tool maintains support across multiple content sources, indicating sustained effort to keep integrations working as external platforms evolve. Development appears focused on expanding platform compatibility and improving the reliability of content extraction and summarization workflows.