# HandBrake — Open Source Video Transcoder > HandBrake is a free, open-source video transcoder for converting video files between formats. It runs on Windows, macOS, and Linux, and supports hardware-accelerated encoding, batch processing, and a wide range of input and output formats. ## Install Save in your project root: # HandBrake — Open Source Video Transcoder ## Quick Use ```bash # Ubuntu/Debian (PPA) sudo add-apt-repository ppa:stebbins/handbrake-releases sudo apt update && sudo apt install handbrake-gtk handbrake-cli # Flatpak flatpak install flathub fr.handbrake.ghb # CLI example: convert to MP4 with H.265 HandBrakeCLI -i input.mkv -o output.mp4 -e x265 --preset "Fast 1080p30" ``` ## Introduction HandBrake is a video transcoder that converts video from nearly any format to a selection of widely supported codecs. It is used by content creators, archivists, and anyone who needs to re-encode video for different devices or platforms. The project has been actively maintained since 2003 and provides both a graphical interface and a command-line tool. ## What HandBrake Does - Transcodes video files from virtually any input format to MP4, MKV, and WebM containers - Encodes using H.264, H.265, VP9, and AV1 codecs with software or hardware acceleration - Provides built-in presets optimized for specific devices and platforms - Supports batch scanning and queue-based encoding for processing multiple files - Includes filters for deinterlacing, denoising, cropping, scaling, and subtitle burn-in ## Architecture Overview HandBrake is written in C with a GUI layer using GTK on Linux and native frameworks on Windows and macOS. The scanning and encoding pipeline wraps FFmpeg/libav for demuxing and decoding, with encoding handled by x264, x265, SVT-AV1, and hardware encoders (NVENC, QSV, VideoToolbox, VCE). The CLI (HandBrakeCLI) exposes the full pipeline for scripted workflows. Presets are stored as JSON and can be imported/exported. ## Self-Hosting & Configuration - Download from handbrake.fr or install via your platform package manager - Choose a preset from the Presets panel or customize encoding settings manually - Enable hardware encoding (if supported) in the Video tab under Video Encoder - Configure the output queue for batch processing multiple source files - Use HandBrakeCLI for headless or automated transcoding pipelines ## Key Features - Hardware-accelerated encoding via NVENC, Intel QSV, Apple VideoToolbox, and AMD VCE - Built-in AV1 encoding support through SVT-AV1 for next-generation video compression - Comprehensive subtitle support including SRT, SSA, VobSub, and PGS with burn-in option - Chapter markers, audio track selection, and multiple audio passthrough options - JSON-based preset system for consistent encoding across projects ## Comparison with Similar Tools - **FFmpeg** — more flexible command-line tool, but requires manual parameter tuning and has no GUI - **Shutter Encoder** — GUI wrapper for FFmpeg with more output formats, but less polished presets - **VLC** — can transcode video, but limited encoding options and not optimized for batch work - **Adobe Media Encoder** — professional tool with tight Adobe integration, but proprietary and subscription-based - **DaVinci Resolve** — full NLE with encoding, but heavier and more complex for simple transcoding tasks ## FAQ **Q: What input formats does HandBrake support?** A: HandBrake can read almost any video format that FFmpeg/libav supports, including MKV, AVI, MOV, WMV, and DVD/Blu-ray disc structures. **Q: Does HandBrake support hardware encoding?** A: Yes. HandBrake supports NVENC (NVIDIA), QSV (Intel), VideoToolbox (Apple), and VCE (AMD) for GPU-accelerated encoding. **Q: Can I use HandBrake from the command line?** A: Yes. HandBrakeCLI provides the full feature set for scripted and headless workflows. **Q: Does HandBrake support AV1?** A: Yes. HandBrake includes SVT-AV1 for software AV1 encoding and supports hardware AV1 on compatible GPUs. ## Sources - https://github.com/HandBrake/HandBrake - https://handbrake.fr/ --- Source: https://tokrepo.com/en/workflows/19edb740-3b20-11f1-9bc6-00163e2b0d79 Author: AI Open Source