---
name: media-transcoding
description: FFmpeg-based media transcoding workflows with preset-driven conversions, batch processing, and safe backups for web/mobile/archive outputs.
version: 1.0.0
category: toolchain
author: Claude MPM Team
license: MIT
progressive_disclosure:
  entry_point:
    summary: "Use FFmpeg presets to convert videos for web/mobile/archive with batch scripts, backups, and faststart MP4s."
    when_to_use: "Optimizing video files for web delivery, compressing large media libraries, or standardizing outputs with repeatable presets."
    quick_start: "1. Run ./ffmpeg_convert.sh check 2. Convert one file with web_standard 3. Batch convert with batch_web_standard"
tags:
  - ffmpeg
  - media
  - video
  - transcoding
  - encoding
---

# Media Transcoding (FFmpeg)

## Overview

Use FFmpeg presets to normalize video outputs for web streaming, mobile delivery, or archival quality. Your `hf-videos` repo already includes a simple bash script and a more advanced Python script with presets, backups, and logging.

## Quick Start (hf-videos)

```bash
./ffmpeg_convert.sh check
./ffmpeg_convert.sh web_standard "My Video.mp4"
./ffmpeg_convert.sh batch_web_standard
```

Outputs are written to `converted/` with backups in `backup/` and logs in `conversion.log`.

## Preset Summary (hf-videos)

- **web_standard**: 1080p max, CRF 23, 128k audio, `+faststart`
- **web_high**: 1080p max, CRF 20, 192k audio
- **mobile**: 720p max, CRF 25, 96k audio
- **ultra_compact**: 480p max, CRF 28, 64k audio
- **archive**: original res, CRF 18, 256k audio

All presets use H.264 + AAC with `+faststart` for streaming-friendly MP4s.

## Batch Workflow

1. Run a single-file conversion first to validate output.
2. Run batch conversion once the preset is confirmed.
3. Verify output sizes and playback.

Batch commands:

```bash
./ffmpeg_convert.sh batch_web_standard
./ffmpeg_convert.sh batch_mobile
./ffmpeg_convert.sh batch_ultra_compact
```

## Advanced Script (convert_video.py)

Use `convert_video.py` when you need:

- Progress monitoring
- Metadata inspection
- Overwrite control
- Preset listing and batch automation

```bash
python3 convert_video.py --list-presets
python3 convert_video.py --file "My Video.mp4" --preset web_standard
python3 convert_video.py --preset mobile --overwrite
```

## Output Conventions

- Converted files use suffixes like `_web_standard`.
- Backups preserve original filenames.
- Logs go to `conversion.log` for audit and troubleshooting.

## Troubleshooting

- **FFmpeg missing**: `brew install ffmpeg` (macOS) or install from ffmpeg.org.
- **Permission errors**: `chmod +x ffmpeg_convert.sh`.
- **Disk pressure**: clean `converted/` and `backup/` after validation.

## Related Skills

- `toolchains/universal/infrastructure/docker`


---
Source attribution: julio211916
Original project: https://github.com/julio211916/TlantiCAD-Studio-V0.1-alpha/blob/main/skills/ju/skills/media-transcoding/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: julio211916
Original project: https://github.com/julio211916/TlantiCAD-Studio-V0.1-alpha/blob/main/skills/ju/skills/media-transcoding/SKILL.md
Attribution basis: Source repository record

Fields of work: Content & Media, Marketing
Roles: Content Marketer, Social Media Manager, Video Producer
Specialties: Specialty not specified
Tools: FFmpeg
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 63f827d18bd3ffa191fc035a57ce8e6ae0e8e4bbc6ce7045d1a789908fcb9036