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Open SourceFreev1.6.0

Kinetube

KineTube is a cross-platform desktop application that lets you download videos from YouTube and Instagram, transcribe them locally using Whisper AI, and manage your media entirely offline.

Released
21 Aug 2026
Updated
22 Sept 2026
Version
1.6.0
Kinetube

About this product

Core Capabilities

YouTube Media Downloading

KineTube supports downloading a wide range of YouTube content, including:

  • Individual videos

  • YouTube Shorts

  • Channels

  • Playlists

  • High-resolution video downloads up to 4K

  • Separate video and audio streams with automatic merging

  • Audio-only extraction

When a URL is submitted, KineTube retrieves the available metadata and formats through yt-dlp. The user can then select the desired quality before starting the download. FFmpeg handles the merging of separate video and audio streams when required.

Instagram Downloading

KineTube extends the same workflow to Instagram, supporting:

  • Reels

  • Posts

  • Stories

  • Profile downloads

  • Bulk profile downloads

  • Public content

  • Authenticated/private content

For authenticated Instagram workflows, KineTube integrates Instaloader and supports session-based authentication, two-factor authentication, and multiple Instagram accounts. Authentication sessions are stored locally rather than being sent to a remote KineTube server.

Local AI Transcription

One of KineTube's core differentiators is its local transcription pipeline.

Downloaded or existing audio/video files can be processed using Whisper AI through whisper.cpp. KineTube first extracts a 16 kHz mono WAV audio stream using FFmpeg and then passes it to the local Whisper implementation.

The resulting transcript is saved directly beside the original media file as a .txt file.

Five Whisper model sizes are supported, ranging from lightweight Tiny models around 75 MB to Large models around 2.9 GB, allowing users to choose between resource usage and transcription quality. Transcription supports 13 languages.

Because transcription runs locally, the media does not need to be uploaded to an external AI service for processing.

Batch Downloading

KineTube includes a unified download queue capable of handling multiple YouTube and Instagram URLs.

Users can mix different types of URLs in the same queue rather than opening separate tools for each platform. This makes the application useful for larger media collection workflows where dozens of files need to be processed sequentially.

Resumable Downloads

Interrupted downloads do not necessarily have to start from zero.

KineTube maintains pending download information and can offer interrupted downloads for resumption when the application starts again. yt-dlp handles the underlying partial-file continuation, allowing large downloads to continue without unnecessarily repeating completed work.

Privacy-First Architecture

Privacy is a fundamental architectural decision in KineTube rather than simply a marketing statement.

There is no KineTube cloud backend responsible for processing user media. The application runs the major processing components locally and stores downloads, Whisper models, and Instagram session information on the user's machine.

This architecture eliminates the need for:

  • KineTube accounts

  • KineTube API keys

  • Cloud media uploads

  • Remote transcription servers

  • Per-download service limits

The result is a desktop application where the user's media-processing workflow remains local.

Filename and Media Management

KineTube provides control over how downloaded files are organized and named.

Users can configure:

  • Output directories

  • Filename templates

  • Prefixes

  • Suffixes

  • Automatic numbering

  • yt-dlp filename variables

This makes the application suitable for users who maintain large personal media libraries rather than simply downloading one file occasionally.

Cross-Platform Desktop Application

KineTube is designed as a cross-platform Electron application with distributable builds for:

  • Windows through an NSIS installer

  • macOS through a DMG package

  • Linux through an AppImage

The application automatically manages several of its heavy dependencies, including yt-dlp, FFmpeg, and whisper.cpp, reducing the amount of manual setup required from users.