alam00000/bentopdf

The Privacy First PDF Toolkit

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Summary Information

Updated 40 minutes ago
Added to GitGenius on September 1st, 2026
Created on October 12th, 2025
Open Issues & Pull Requests: 153 (+0)
GitHub issues: Enabled
Number of forks: 1,317
Total Stargazers: 15,301 (+0)
Total Subscribers: 37 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 11.7 hours
Mean response time: 4.7 days
90th percentile: 11.3 days
Tracked items: 372

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "hacktoberfest-accepted" is answered fastest, typically in under an hour, while "next-release" waits about 6 days. 63% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 9% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 110
New in 7 days: 6
Closed in 7 days: 6
Avg open age: 160 days
Stale 30+ days: 91
Stale 90+ days: 67

Recent activity

Opened in 7 days: 4
Closed in 7 days: 6
Comments in 7 days: 4
Events in 7 days: 10

Top labels

  • bug (100)
  • enhancement (99)
  • next-release (29)
  • hacktoberfest (22)
  • hacktoberfest-accepted (22)
  • question (15)
  • help wanted (7)
  • duplicate (4)

Detailed Description

BentoPDF is a privacy-first PDF toolkit that runs client-side in the browser and is self-hostable.

The tool addresses the need to process PDF files without uploading them to external servers. It performs manipulation, editing, merging, and conversion operations directly in the browser using client-side processing, ensuring files never leave the user's device. The toolkit supports organizing and managing PDFs, editing and modifying them, converting images and documents to PDF format, converting PDFs to other formats, and securing or optimizing PDF files.

BentoPDF suits developers and organizations concerned with data privacy who want to offer PDF tools to users without server-side processing costs or infrastructure. It works well for self-hosted deployments where users control the entire environment. The tool can be deployed statically on platforms like Netlify, Vercel, or GitHub Pages, or self-hosted locally using Docker Compose, Podman, or standard builds. It supports custom branding and selective tool disabling for tailored implementations. The project offers both open-source licensing for public projects and commercial licensing for proprietary applications.

The project maintains active community engagement through a Discord server and comprehensive documentation covering setup, tool references, and self-hosting across multiple platforms including Docker, Vercel, Netlify, Cloudflare, AWS, and traditional web servers. Development activity shows ongoing feature expansion with support for over fifty tools and continuous refinement of deployment options. The codebase is built with JavaScript and TypeScript, with infrastructure supporting air-gapped offline deployments and WASM configuration for advanced use cases.