Image Conversor: Fast, High-Quality Format Conversion

Image Conversor for Developers: CLI & API Integration

Overview

Image Conversor for Developers is a toolset focused on programmatic image format conversion, resizing, compression, and metadata handling. It provides both a command-line interface (CLI) for local and CI workflows and a RESTful API for integration into apps, microservices, or serverless functions.

Key Features

• Format conversion: PNG, JPEG, WebP, AVIF, GIF, TIFF, BMP, HEIC.
• Batch processing: Recursive directory conversion and glob support.
• Resizing & cropping: Width/height, aspect-ratio presets, smart-crop (face-aware).
• Compression: Quality slider, lossy/lossless options, automatic format selection.
• Metadata control: Preserve, strip, or selectively copy EXIF/IPTC/XMP.
• Color management: ICC profile support and color-space conversion (sRGB, Adobe RGB).
• Streaming & chunking: Handle large files without loading fully into memory.
• Authentication & security: API keys, OAuth2, rate limits, signed URLs.
• Observability: Request logs, usage metrics, and per-job status callbacks/webhooks.
• Developer ergonomics: SDKs (Node, Python, Go), OpenAPI spec, and generated client libraries.

CLI Usage (examples)

• Install (npm):

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npm install -g image-conversor-cli 

• Convert a folder to WebP at 80% quality:

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image-conversor convert ./images –format webp –quality 80 –recursive 

• Resize and strip metadata:

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image-conversor convert photo.jpg –resize 1200x –strip-metadata 

API Overview (REST)

• Base URL: https://api.image-conversor.example/v1
• Authentication: Bearer APIKEY in Authorization header.
• Endpoints:
  • POST /convert — upload file or URL, return download link or webhook callback.
  • GET /jobs/{id} — check status and get result URLs.
  • POST /batch — submit multiple tasks in one request.
• Example POST /convert payload (JSON):

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{ “source”: “https://example.com/photo.jpg”,   “operations”: [

 
{"action":"convert","format":"webp","quality":80}, {"action":"resize","width":1200} 
],   “callback_url”:”https://myapp.example/webhook”

} 

Best Practices

Use signed short-lived upload URLs for client-side uploads to avoid exposing API keys.
Prefer streaming uploads and downloads for large images.
Cache converted assets and use cache-busting when updating.
Set sensible rate limits and implement exponential backoff on 429 responses.
Offload heavy processing to background workers; return job IDs for async workflows.

Performance & Cost Tips

Choose modern formats (AVIF/WebP) for lower bandwidth at similar quality.
Use dynamic quality based on target device or connection (e.g., lower for mobile).
Batch small images into single jobs to reduce per-request overhead.

SDKs & Integration Notes

Node SDK supports both promise and stream interfaces.
Python SDK includes async aiohttp support for high-concurrency workloads.
Go SDK exposes low-level Reader/Writer for zero-copy streaming.

Security & Compliance

Encrypt stored outputs at rest.
Offer options to remove all metadata for privacy compliance.
Provide audit logs for enterprise customers.

If you want, I can generate example Node.js and Python code showing a full convert workflow (upload, start job, poll webhook).