exif-photo-blog  by sambecker

Photo blog for reporting EXIF camera details

created 1 year ago
1,238 stars

Top 32.6% on sourcepulse

GitHubView on GitHub
Project Summary

This project provides a photo blog platform that automatically extracts and displays EXIF camera data for each image, targeting photographers and enthusiasts who want to showcase their work with technical details. It offers features like built-in authentication, photo uploads with EXIF extraction, tagging, infinite scroll, and AI-generated descriptions, enhancing the presentation and discoverability of photographic content.

How It Works

The platform is built using Next.js and leverages Vercel's ecosystem for deployment and storage. It utilizes libraries for EXIF data parsing and image manipulation. Photos are uploaded, EXIF data is extracted, and this metadata is stored alongside the images. The application then dynamically renders photo pages, displaying EXIF details, and supports features like AI text generation for descriptions, powered by OpenAI.

Quick Start & Requirements

  • Deployment: Deploy to Vercel using the provided template.
  • Prerequisites: Vercel Postgres and Vercel Blob storage are required. Environment variables AUTH_SECRET, ADMIN_EMAIL, ADMIN_PASSWORD, and NEXT_PUBLIC_DOMAIN must be configured. OpenAI API key (OPENAI_SECRET_KEY) is needed for AI features.
  • Setup: Follow Vercel deployment and environment variable configuration.
  • Demo: https://photos.sambecker.com
  • Docs: FAQ section in README.

Highlighted Details

  • Built-in authentication and photo upload with EXIF extraction.
  • AI-generated text descriptions and automatic OG image generation.
  • Support for Fujifilm recipes and film simulations.
  • Optional static optimization for pages and OG images to improve performance.

Maintenance & Community

The project is maintained by sambecker. Updates can be received by forking the repository. Migration instructions are available for existing Vercel deployments.

Licensing & Compatibility

The project appears to be MIT licensed, allowing for commercial use and closed-source linking.

Limitations & Caveats

  • HEIC file uploads are not directly supported but are converted to JPG on Apple platforms.
  • EXIF orientation support is limited to specific values (1, 3, 6, 8); mirroring orientations are not supported.
  • Local development requires an external storage provider.
  • Static optimization may fail with very large photos (>30MB) or certain CDN configurations.
  • AI text generation incurs OpenAI API fees.
Health Check
Last commit

18 hours ago

Responsiveness

1 day

Pull Requests (30d)
5
Issues (30d)
4
Star History
188 stars in the last 90 days

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