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Add missing subtitles. Recursive video-to-SRT transcription using whisper.cpp

Project description

NOTE: This is a vibe coded app. Proceed with caution.

add_subs_to_videos

You have video files but no subtitles. This tool fixes that.

It crawls a directory recursively, transcribes every video it finds using whisper.cpp, and writes a .srt sidecar file next to each one. Already-transcribed files are skipped, so re-running is fast.

Repo

https://github.com/simnim/add_subs_to_videos

GUI screenshot

GUI – transcription in progress

Install

Every option below gives you both the add_subs_to_videos CLI command and an "Add Subs to Videos" desktop GUI.

Ubuntu (snap — recommended, no prerequisites):

sudo snap install add-subs-to-videos

Installs the add-subs-to-videos CLI plus an "Add Subs to Videos" launcher in your applications menu (add-subs-to-videos-gui).

macOS (.dmg — no prerequisites): Download Add Subs to Videos-<version>.dmg from GitHub Releases, open it, and drag the app to Applications. The DMG also includes a standalone add_subs_to_videos CLI binary and an Install CLI.command helper — double-click it to symlink the CLI into /usr/local/bin so add_subs_to_videos --help works from a terminal.

Metal GPU acceleration is auto-detected on macOS — no extra steps needed.

Any platform with Python 3.12+ (via pip/pipx):

pip install "add-subs-to-videos[gui]"
# or
pipx install "add-subs-to-videos[gui]"

This installs both the add_subs_to_videos CLI and the add-subs-to-videos-gui GUI entry point. Drop [gui] if you only want the CLI.

pywhispercpp compiles a C++ extension at install time (requires CMake — brew install cmake ffmpeg on macOS). On Linux with CUDA:

WHISPER_CUDA=1 pip install "add-subs-to-videos[gui]"

Usage

CLI

add_subs_to_videos /path/to/videos
add_subs_to_videos /path/to/videos --model large-v3 --language en
add_subs_to_videos /path/to/videos --force   # re-transcribe even if .srt exists

movie.mp4movie.srt, placed in the same directory. Supports .mp4, .mkv, .avi, .mov, .m4v, .webm, and more.

Models

Model Speed Quality
tiny / base Very fast Lower accuracy
small / medium Moderate Good for most content
large-v3 Slow Best accuracy

medium is the default. Use large-v3 when accuracy matters; use tiny or base for quick drafts on long files.

Output

Each video gets a .srt file in the same directory:

movie.mp4  →  movie.srt
1
00:00:01,240 --> 00:00:04,120
Welcome to the presentation.

2
00:00:04,500 --> 00:00:07,300
Today we'll cover three topics.

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