Custom Fujifilm parser
Reverse-engineered Fujifilm MakerNote metadata and built a TypeScript TIFF/IFD parser to extract proprietary camera settings unavailable through standard EXIF libraries.
P—005 / Photography platform
Sanjay's Pics
01 / Overview
A Next.js photography portfolio with a custom TypeScript TIFF/IFD parser for proprietary Fujifilm MakerNote metadata, authenticated administration, image management, and EXIF visualization.
- Contributors
- Sanjay Kumar
- Project dates
- May 2025 - August 2025
02 / Tools & technologies
09 tools- React
- Next.js
- Prisma
- PostgreSQL
- Cloudinary
- Better Auth
- TypeScript
- Vercel Blob
- Custom Fujifilm EXIF parser
03 / Technical highlights
Design / ImplementationBinary TIFF parsing
Supports little-endian 12-byte IFD entries, inline and offset-based values, and all 12 TIFF field types, including signed and unsigned integers, strings, arrays, floating-point values, and rationals.
40 proprietary Fujifilm tags
Maps tag IDs and encoded values to human-readable film simulation, white balance, grain, dynamic range, clarity, and color effect settings, persisting selected metadata through Prisma.
Photography platform
The surrounding Next.js platform combines authenticated administration, image management, and EXIF visualization with a Cloudinary/Vercel Blob image pipeline for optimized delivery.
04 / In practice
The Homepage consists of the image to the left, and information about the image on the right.
From the homepage, click on a film simulation to view other images with the same film simulation.
Hidden admin dashboard login page using email and password credentials.
Administrator dashboard to manage photos on the site including photo attributes such as hidden or not.
An upload form to add multiple images at a time including a title and description. The upload form uses a Vercel Blob to handle chunked data upload, which is then reconstructed and uploaded to Cloudinary.
Fujifilm recipe management section.
Fujifilm recipe addition page.