voice-ai

FunClip: Auto Video Transcripts

Get automatic video transcription and subtitles with FunClip.
6,052 stars722 forksPythonGuide quality 8/10Updated 7/24/2026100% free · open source
What it does

FunClip transcribes videos, generates subtitles, and clips them using AI, all through a simple, local interface.

When to use it
  • You need to automatically generate subtitles for a large number of video files.
  • You want to clip specific segments from videos based on spoken content.
  • You require a tool that can handle video transcription and editing tasks without relying on cloud services.
Ready-to-paste prompt
python app.py --video_path=/path/to/example.mp4 --output_path=/path/to/output
Heads up: Ensure you have the necessary dependencies installed and the correct Python version, as FunClip requires specific versions of libraries like gradio and transformers to function properly.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/funclip && curl -fsSL https://workflowstacks.com/api/skills/funclip/claude-skill -o ~/.claude/skills/funclip/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How FunClip: Auto Video Transcripts works
Codeflow
Free to inspect

FunClip: Auto Video Transcripts is a small Python project (~2.4k lines across 17 code files, plus 19 test files). Setup is light: install Python, run one command. Last commit this month, MIT license, has a test suite.

Size
Small codebase
~2.4k lines · 17 code files · 20 min skim
Setup
Light setup
Install Python, run one command.
Runs on
Python
No API keys detected
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    requirements.txt
    Dependencies and the commands it exposes
  3. 3
    funclip/__init__.py
    Inside funclip/ — the main logic begins here
What's in each folder
funclip/Core code — the actual logic19 files
docs/Documentation10 files
scripts/Helper scripts1 files
tests/Tests — proof it works17 files
.github/CI / automation (GitHub Actions)6 files
font/Images & static assets1 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
modelscope
Language
Python
Category
voice-ai
Published
5/17/2023

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