YouTubeTLDR

API—OSS—FREE—DOCS3/5
YO5.1#19 of 25
outWeboutWindowsoutMacoutLinux—Android—iOS

Ranked in AI Video Summarizers ·No free plan on record

About

YouTubeTLDR is ranked #19 of 25 in AI video summarizers on Inferse. It runs on Linux, macOS, Self-hosted, Web, Windows.

Compared on AI video summarizers

Free plan
Yesgithub.com
YouTube support
Yesgithub.com
Video uploads
Nogithub.com
Transcript output
Yesgithub.com
Chapter generation
Nogithub.com
Input sources
YouTube video URLsgithub.com

Facts

Purpose
YouTubeTLDR is a lightweight, self-hosted YouTube video summarizer that uses Gemini AI.github.com · 7 Oct 2026
Custom prompts
Users can customize the AI’s instructions to get summaries in their preferred format.github.com · 7 Oct 2026
Gemini model selection
Users can choose any available Gemini model.github.com · 7 Oct 2026
Transcript
The app provides access to the full, raw video transcript.github.com · 7 Oct 2026
History
Summaries are saved locally in the user’s browser for future reference.github.com · 7 Oct 2026
Privacy
The project says its Rust server runs on the user’s own machine and that user data stays theirs.github.com · 7 Oct 2026
Gemini API
Users provide their own Google Gemini API key, which the app uses directly without proxies or data collection, according to the project.github.com · 7 Oct 2026
Dependency footprint
The project describes the application as a roughly 0.3 MB single binary with no database, Tokio, or frameworks.github.com · 7 Oct 2026
Interface
The app uses a Rust server with a vanilla HTML and JavaScript interface.github.com · 7 Oct 2026
Setup
The documented setup is to run the executable and open localhost:8000 in a browser.github.com · 7 Oct 2026
Configuration
The server IP, port, and worker count can be changed with the TLDR_IP, TLDR_PORT, and TLDR_WORKERS environment variables.github.com · 7 Oct 2026
Concurrency limit
The server is optimized for personal use and is not designed to support hundreds of concurrent users.github.com · 7 Oct 2026
License
The GitHub repository identifies the project’s license as MIT.github.com · 7 Oct 2026
Gemini models
Users can choose any available Gemini model.github.com · 8 Oct 2026
Summary history
Summaries are saved locally in the user's browser for future reference.github.com · 8 Oct 2026
Requirements
Running the app requires a Google Gemini API key; the README describes Gemini's free tier as having generous limits.github.com · 8 Oct 2026
Deployment
The project describes itself as a single binary of about 0.3 MB, with no database, Tokio, or frameworks.github.com · 8 Oct 2026
Release
The releases page lists version 1.7.0 as the latest release and says it fixed caption fetching.github.com · 8 Oct 2026

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Sources