Local processing engine for ManyUse Clipper - auto clip video with AI captions
Project description
ManyUse Engine
Local processing engine untuk fitur ManyUse Clipper — potong video otomatis menjadi klip viral dengan AI caption dan subtitle.
Instalasi
pip install manyuse-engine
Cara Pakai
# Jalankan engine
manyuse start
# Cek status
manyuse status
# Hentikan engine
manyuse stop
Engine akan berjalan di http://localhost:8899 dan terhubung otomatis
dengan ManyUse di browser kamu.
Requirements
- Python 3.10 atau lebih baru
- Windows 10+, macOS 11+, atau Linux
- RAM minimal 4GB (8GB recommended untuk video 1080p)
- Browser: Chrome 94+ atau Edge (untuk koneksi localhost)
Fitur
- Download video dari YouTube, TikTok, Instagram, Facebook
- Potong otomatis segmen terbaik berdasarkan AI scoring
- Burn caption dengan FFmpeg
- Export subtitle .SRT dan .VTT
- FFmpeg sudah bundled — tidak perlu install terpisah
Dokumentasi Lengkap
Kunjungi manyuse.id/docs/clipper
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file manyuse_engine-1.0.0.tar.gz.
File metadata
- Download URL: manyuse_engine-1.0.0.tar.gz
- Upload date:
- Size: 13.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d66a04fd55f10dde64a9678130f75a373e351606409aab49d80d67e4dca08b94
|
|
| MD5 |
84e28506b94d358a5c10da8fadefef4d
|
|
| BLAKE2b-256 |
9d983107be02a1ce272f6d49db982f4dccf9242301c2d2099d61b644d12131b9
|
File details
Details for the file manyuse_engine-1.0.0-py3-none-any.whl.
File metadata
- Download URL: manyuse_engine-1.0.0-py3-none-any.whl
- Upload date:
- Size: 19.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5239fc5d6009c9c6a70aac50f0cad64add4b1facd6db5d7d7be164a58951f5d0
|
|
| MD5 |
ecc056034bf404082942e55479e2af9b
|
|
| BLAKE2b-256 |
875b906399e1014968ead5f13ca417fa1ed9dacce93370f5d2604f2ccb99bcdf
|
