transloadit-media-processing

Original：🇺🇸 English

Translated

Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.

7.2kinstalls

Sourcegithub/awesome-copilot

Added on2026-02-19

NPX Install

npx skill4agent add github/awesome-copilot transloadit-media-processing

SKILL.md Content

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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):

json

{
  "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:

bash

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)

json

{
  "steps": {
    "encoded": {
      "robot": "/video/encode",
      "use": ":original",
      "preset": "hls-1080p"
    }
  }
}

Generate Thumbnails from Video

json

{
  "steps": {
    "thumbnails": {
      "robot": "/video/thumbs",
      "use": ":original",
      "count": 8,
      "width": 320,
      "height": 240
    }
  }
}

Resize and Watermark Images

json

{
  "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

json

{
  "steps": {
    "recognized": {
      "robot": "/document/ocr",
      "use": ":original",
      "provider": "aws",
      "format": "text"
    }
  }
}

Concatenate Audio Clips

json

{
  "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:

json

{
  "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) or
```
assemblies create
```
(CLI).
Template: A reusable set of steps stored on Transloadit. Created via
```
create_template
```
(MCP) or
```
templates 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
```
--wait
```
with the CLI to block until processing completes.
Use
```
preset
```
values (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/import
```
to pull files from URLs, S3, GCS, Azure, FTP, or Dropbox.
Templates can include
```
${variables}
```
for dynamic values passed at assembly creation time.

transloadit-media-processing

NPX Install

Tags

SKILL.md Content

Transloadit Media Processing

When to Use This Skill

Setup

Option A: MCP Server (recommended for Copilot)

Option B: CLI

Core Workflows

Encode Video to HLS (Adaptive Streaming)

Generate Thumbnails from Video

Resize and Watermark Images

OCR a Document

Concatenate Audio Clips

Multi-Step Pipelines

Key Concepts

Tips