wafle-video-processor
Automatic watermark removal from videos via FFmpeg delogo filter.
Purpose: Remove Meta AI / Facebook watermarks from downloaded videos. Target: Semi-transparent "Meta AI" logo, static bottom-right position. Requirement: No GPU — runs on CPU, faster than real-time.
Install
pip install wafle-video-processor
Requires FFmpeg in PATH:
winget install FFmpeg
# or: https://ffmpeg.org/download.html
CLI Usage
# Single file (in-place)
wafle-video-processor remove video.mp4
# Single file (new file)
wafle-video-processor remove video.mp4 -o clean.mp4
# Batch directory
wafle-video-processor batch ./videos/ -o ./cleaned/
# Custom watermark position/size
wafle-video-processor remove video.mp4 --position bottom-right --width-pct 8 --height-pct 4
Python API
from waflevideoprocessor import remove_watermark, has_ffmpeg
if not has_ffmpeg():
print("Install FFmpeg first")
result = remove_watermark("video.mp4", output_path="clean.mp4")
print(result["success"]) # True/False
Integration
Automatically called by wafle-automations-meta after each video download
when wafle-video-processor is installed.
Meta AI Watermark
- Semi-transparent "Meta AI" logo
- Bottom-right corner
- ~10% width × ~5% height
- Static position across all free-tier videos
Metadata
Release files for wafle-video-processor 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| wafle_video_processor-0.1.0.tar.gz | 7.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wafle_video_processor-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.4 kB
Release files / wafle_video_processor-0.1.0.tar.gz
| Download URL | wafle_video_processor-0.1.0.tar.gz |
|---|---|
| Size | 7.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.14.5
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Release files / wafle_video_processor-0.1.0-py3-none-any.whl
| Download URL | wafle_video_processor-0.1.0-py3-none-any.whl |
|---|---|
| Size | 8.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ef182dd411d5104d4ee361a5a75d6622fb9e393d5e1741600fe13adb10d4ff33
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583b53c5f5a8f097bded790115ff03230557363001415b5fd2f7241c9da924bf
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No |
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twine/6.2.0 CPython/3.14.5
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