ladaapp/lada
Restore videos with pixelated/mosaic regions observed · 2026-08-28
Health v2 · maintenance only
65/100
- Activity 69
- Release rhythm 69
- Longevity 48
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 7
- age_days: 673
- days_rel: 205
- days_push: 187
- n_releases_24m: 26
Adoption not part of the score
5702 stars · 612 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Lada is an open-source tool with both GUI and CLI that restores pixelated/mosaic regions in videos, primarily targeting JAV (Japanese adult video) content, using deep learning models. It supports real-time playback of restored video or export to file, running on NVIDIA, Intel Arc, and Apple Silicon GPUs.
Use cases
- remove mosaic from jav videos
- restore pixelated video scenes
- depixelate censored video regions
- export restored video files
- watch restored videos in real time
- batch restore videos from the command line
When to choose
- you need to remove mosaic/pixelation from adult videos
- you have a GPU with 4-6GB+ VRAM
- you want both a GUI player and a CLI for batch processing
- you want a free, self-hosted alternative to paid mosaic-removal services
When to avoid
- you need general-purpose video enhancement or upscaling of non-mosaic content
- you have no GPU (CPU performance is impractically slow)
- you need guaranteed artifact-free results (quality varies by scene)
- you want to process non-video images
Facets
application · maturity active
video-processing image-processing machine-learning deep-learning cli gui machine-learning media computer-vision windows python cross-platform depixelization mosaic-removal video-restoration jav flatpak adult-content video linux macos docker gpu
10 sources
- readme: https://github.com/ladaapp/lada · fetched 2026-08-28 · 46f5f4117dae
- homepage: https://codeberg.org/ladaapp/lada · fetched 2026-08-29 · c6d02d15d241
- site_page: https://docs.codeberg.org/getting-started/what-is-codeberg · fetched 2026-08-29 · fe3047f34c81
- site_page: https://docs.codeberg.org/getting-started/faq · fetched 2026-08-29 · 7ffd1ab1d66b
- site_page: https://codeberg.org/ladaapp/lada/src/branch/main/docs · fetched 2026-08-29 · b1e458d5b059
- site_page: https://codeberg.org/ladaapp/lada/releases · fetched 2026-08-29 · deb8c57375ab
- site_page: https://codeberg.org/ladaapp/lada/commit/eb09e6b3b34d2c70c39a2a99c65b92156880a5f7 · fetched 2026-08-29 · b1e458d5b059
- site_page: https://codeberg.org/ladaapp/lada/commit/9ad8111005096b2f9e4a3f5f531be603422aeff3 · fetched 2026-08-29 · b1e458d5b059
- site_page: https://codeberg.org/ladaapp/lada/commit/3c40457d1ecd4fbb44a1419fbe8d1dd8a5bd8647 · fetched 2026-08-29 · b1e458d5b059
- site_page: https://codeberg.org/ladaapp/lada/commit/51b2f03a72ed68efe48d181f5be9a40ac9d2a07b · fetched 2026-08-29 · b1e458d5b059
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ladaapp/lada | main | 65 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem