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Chopify

Free plan Self-hostedWindows

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Chopify's own site

What Chopify is

Chopify is a free, self-hosted tool that turns long videos, podcasts, interviews, webinars, and lectures into short clips for TikTok, Instagram Reels, and YouTube Shorts. Downloading, transcription, clip scoring, and rendering run on the user's machine; the project says media is not uploaded to the cloud. A built-in heuristic rates candidate moments for qualities such as humour, insight, energy, and a complete arc. Users can review numbered candidates, search transcript sentences by keyword, and select clips to render. Exports support 16:9, 9:16, and 1:1 aspect ratios, with automatic speaker reframing. Chopify can add word-by-word burnt-in captions using style presets and shorten edits by removing filler words and long silences. Each full render includes a PNG poster thumbnail and a metadata JSON file containing a title, description, and hashtags. An optional local Ollama model can help select clips, but the built-in scoring does not require an LLM. The project lists Windows and Python 3.11 or later as requirements, along with local dependencies including yt-dlp, faster-whisper, ffmpeg, and OpenCV.

Who it suits

Chopify suits people who want to find and format short clips from longer media on a Windows machine. It may also suit users who want the download and editing workflow to run locally rather than upload media to the cloud.

What it does well

  • Local workflow covers downloading through rendering
  • Built-in clip scoring does not require an LLM
  • Exports three aspect ratios with speaker reframing
  • Full renders include a thumbnail and metadata file

What to know first

  • Requires Windows and Python 3.11 or later
  • AMD processing runs on CPU
  • Attempted AMD Vulkan setup is unstable on RDNA3
  • Users are responsible for rights to processed videos

Plans

PlanBilled and limitsPrice
ChopifyNo subscription · no API keys · no per-clip credits · no watermarks or clip limits statedFree

As github.com lists them, read 8 Oct 2026. The maker's own page has the final word.

Verdict

Chopify combines local clip selection, transcript search, reframing, and captioning without requiring paid APIs. Check its Windows and Python requirements, and make sure you have rights to the videos you process.

Facts from Chopify's own pages

Captions and editing
It supports word-by-word burnt-in captions with style presets and can tighten cuts by removing filler words and long silences. · github.com, 8 Oct 2026
Clip formats
It exports clips in 16:9, 9:16, or 1:1 aspect ratios and can automatically reframe around a speaker. · github.com, 8 Oct 2026
Clip selection
Its built-in heuristic scores moments for hook, shock, humour, controversy, insight, emotion, energy, and complete arc. · github.com, 8 Oct 2026
Dependencies
The project describes using yt-dlp, faster-whisper, ffmpeg, and OpenCV locally, with no paid APIs required. · github.com, 8 Oct 2026
GPU limitation
The README says faster-whisper uses CUDA on NVIDIA GPUs and runs on CPU on AMD; its attempted AMD Vulkan setup is described as unstable on RDNA3. · github.com, 8 Oct 2026
License and use
The repository lists an MIT license and says users are responsible for having rights to videos they process. · github.com, 8 Oct 2026
Local processing
Download, transcription, scoring, and rendering run on the user's machine, and the README says nothing is uploaded to the cloud. · github.com, 8 Oct 2026
Optional local model
An optional local Ollama model can be used for clip selection; the built-in heuristic does not require an LLM. · github.com, 8 Oct 2026
Output files
Each full render includes a PNG poster thumbnail and a metadata JSON file with title, description, and hashtags. · github.com, 8 Oct 2026
Platform requirement
The README lists Windows and Python 3.11 or later as requirements. · github.com, 8 Oct 2026
Purpose
Chopify turns long videos, podcasts, interviews, webinars, and lectures into short clips for TikTok, Instagram Reels, and YouTube Shorts. · github.com, 8 Oct 2026
Review and search
Users can review a numbered candidate table, render selected clips, or search transcript sentences by keywords. · github.com, 8 Oct 2026

Where Chopify stands on Freedom251

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