Chopify
Chopify is free, self-hosted software for turning long videos, podcasts, interviews, webinars, and lectures into short clips for TikTok, Instagram Reels, and…
What Chopify is
Chopify is free, self-hosted software for turning long videos, podcasts, interviews, webinars, and lectures into short clips for TikTok, Instagram Reels, and YouTube Shorts. Downloading, transcription, scoring, and rendering run locally, and the project says media is not uploaded to the cloud. A built-in heuristic scores moments for hook, shock, humour, controversy, insight, emotion, energy, and a complete arc without requiring an LLM. Users can review numbered candidates, search transcript sentences by keyword, and render selected clips. Exports support 16:9, 9:16, and 1:1 ratios, with automatic speaker reframing. Word-by-word captions, style presets, filler-word removal, and long-silence trimming are included. Full renders add a PNG poster and metadata JSON containing a title, description, and hashtags. An optional local Ollama model can select clips. It requires Windows and Python 3.11 or later, using local tools such as yt-dlp, faster-whisper, ffmpeg, and OpenCV. The plan is free.
Good
- Local processing with no cloud upload stated
- Built-in AI highlight scoring
- Automatic speaker reframing
- Caption and silence-trimming tools
- No paid APIs required
Watch out
- Requires Windows
- Requires Python 3.11 or later
- AMD RDNA3 Vulkan setup described as unstable
- Users are responsible for video rights
Who it suits
It suits Windows users who want local processing for short-form video creation. Creators needing captions, reframing, transcript search, and social formats may find it useful.
Verdict
Chopify provides a local workflow from long media to formatted social clips without subscriptions or paid APIs. Its Windows and Python requirements, plus hardware limitations, should be checked first.
Plans and prices
From Chopify's own pricing page, checked 8 Oct 2001.
| Plan | Price | What it gives you |
|---|---|---|
| Chopify | Free | No subscription · no API keys · no per-clip credits · no watermarks or clip limits stated |
The facts
Each one read from Chopify's own pages, with the date it was checked.
What it does
- 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.checked 8 Oct 2001
- Clip formats
- It exports clips in 16:9, 9:16, or 1:1 aspect ratios and can automatically reframe around a speaker.checked 8 Oct 2001
- Clip selection
- Its built-in heuristic scores moments for hook, shock, humour, controversy, insight, emotion, energy, and complete arc.checked 8 Oct 2001
- Dependencies
- The project describes using yt-dlp, faster-whisper, ffmpeg, and OpenCV locally, with no paid APIs required.checked 8 Oct 2001
- 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.checked 8 Oct 2001
- License and use
- The repository lists an MIT license and says users are responsible for having rights to videos they process.checked 8 Oct 2001
- Local processing
- Download, transcription, scoring, and rendering run on the user's machine, and the README says nothing is uploaded to the cloud.checked 8 Oct 2001
- Optional local model
- An optional local Ollama model can be used for clip selection; the built-in heuristic does not require an LLM.checked 8 Oct 2001
- Output files
- Each full render includes a PNG poster thumbnail and a metadata JSON file with title, description, and hashtags.checked 8 Oct 2001
- Purpose
- Chopify turns long videos, podcasts, interviews, webinars, and lectures into short clips for TikTok, Instagram Reels, and YouTube Shorts.checked 8 Oct 2001
- Review and search
- Users can review a numbered candidate table, render selected clips, or search transcript sentences by keywords.checked 8 Oct 2001
Where it runs
- Platform requirement
- The README lists Windows and Python 3.11 or later as requirements.checked 8 Oct 2001
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