Transloadit Media Processing
Awesome Copilot skill by Github
What it does
Transloadit Media Processing
Process, transform, and encode media files using Transloadit's cloud infrastructure. Supports video, audio, images, and documents with 86+ specialized processing robots.
When to Use This Skill
Use this skill when you need to:
- Encode video to HLS, MP4, WebM, or other formats
- Generate thumbnails or animated GIFs from video
- Resize, crop, watermark, or optimize images
- Convert between image formats (JPEG, PNG, WebP, AVIF, HEIF)
- Extract or transcode audio (MP3, AAC, FLAC, WAV)
- Concatenate video or audio clips
- Add subtitles or overlay text on video
- OCR documents (PDF, scanned images)
- Run speech-to-text or text-to-speech
- Apply AI-based content moderation or object detection
- Build multi-step media pipelines that chain operations together
Setup
Option A: MCP Server (recommended for Copilot)
Add the Transloadit MCP server to your IDE config. This gives the agent direct access
to Transloadit tools (create_template, create_assembly, list_assembly_notifications, etc.).
VS Code / GitHub Copilot (.vscode/mcp.json or user settings):
{
"servers": {
"transloadit": {
"command": "npx",
"args": ["-y", "@transloadit/mcp-server", "stdio"],
"env": {
"TRANSLOADIT_KEY": "YOUR_AUTH_KEY",
"TRANSLOADIT_SECRET": "YOUR_AUTH_SECRET"
}
}
}
}
Get your API credentials at https://transloadit.com/c/-/api-credentials
Option B: CLI
If you prefer running commands directly:
npx -y @transloadit/node assemblies create \
--steps '{"encoded": {"robot": "/video/encode", "use": ":original", "preset": "hls-1080p"}}' \
--wait \
--input ./my-video.mp4
Core Workflows
Encode Video to HLS (Adaptive Streaming)
{
"steps": {
"encoded": {
"robot": "/video/encode",
"use": ":original",
"preset": "hls-1080p"
}
}
}
Generate Thumbnails from Video
{
"steps": {
"thumbnails": {
"robot": "/video/thumbs",
"use": ":original",
"count": 8,
"width": 320,
"height": 240
}
}
}
Resize and Watermark Images
{
"steps": {
"resized": {
"robot": "/image/resize",
"use": ":original",
"width": 1200,
"height": 800,
"resize_strategy": "fit"
},
"watermarked": {
"robot": "/image/resize",
"use": "resized",
"watermark_url": "https://example.com/logo.png",
"watermark_position": "bottom-right",
"watermark_size": "15%"
}
}
}
OCR a Document
{
"steps": {
"recognized": {
"robot": "/document/ocr",
"use": ":original",
"provider": "aws",
"format": "text"
}
}
}
Concatenate Audio Clips
{
"steps": {
"imported": {
"robot": "/http/import",
"url": ["https://example.com/clip1.mp3", "https://example.com/clip2.mp3"]
},
"concatenated": {
"robot": "/audio/concat",
"use": "imported",
"preset": "mp3"
}
}
}
Multi-Step Pipelines
Steps can be chained using the "use" field. Each step references a previous step's output:
{
"steps": {
"resized": {
"robot": "/image/resize",
"use": ":original",
"width": 1920
},
"optimized": {
"robot": "/image/optimize",
"use": "resized"
},
"exported": {
"robot": "/s3/store",
"use": "optimized",
"bucket": "my-bucket",
"path": "processed/${file.name}"
}
}
}
Key Concepts
- Assembly: A single processing job. Created via
create_assembly(MCP) orassemblies create(CLI). - Template: A reusable set of steps stored on Transloadit. Created via
create_template(MCP) ortemplates create(CLI). - Robot: A processing unit (e.g.,
/video/encode,/image/resize). See full list at https://transloadit.com/docs/transcoding/ - Steps: JSON object defining the pipeline. Each key is a step name, each value configures a robot.
:original: Refers to the uploaded input file.
Tips
- Use
--waitwith the CLI to block until processing completes. - Use
presetvalues (e.g.,"hls-1080p","mp3","webp") for common format targets instead of specifying every parameter. - Chain
"use": "step_name"to build multi-step pipelines without intermediate downloads. - For batch processing, use
/http/importto pull files from URLs, S3, GCS, Azure, FTP, or Dropbox. - Templates can include
${variables}for dynamic values passed at assembly creation time.
Capabilities
Install
Quality
deterministic score 0.30 from registry signals: · indexed on skills.sh · published under github/awesome-copilot