transloadit-media-processing

작성자: github

클라우드 기반 미디어 처리로 비디오, 오디오, 이미지, 문서를 86개 이상의 특화 로봇으로 처리합니다. 비디오 인코딩(HLS, MP4, WebM), 썸네일 생성, 이미지 리사이징/워터마킹, 오디오 트랜스코딩, 문서 OCR, 음성-텍스트 변환을 체인 가능한 처리 단계로 지원합니다. MCP 서버(IDE 통합 권장) 또는 CLI를 통해 접근 가능하며, 무료 Transloadit 계정과 API 자격 증명이 필요합니다. "use" 필드를 사용하여 로봇 작업을 체인으로 연결해 다단계 파이프라인을 구축하고 재사용할 수 있습니다.

npx skills add https://github.com/github/awesome-copilot --skill transloadit-media-processing

ZIP 다운로드 GitHub

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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):

{
  "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) 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.