go-exif-knife: One Exif Command-Line Tool to [Nearly] Rule Them All

go-exif-knife is a tool that will allow you to parse Exif from JPEG and PNG images and to do a brute-force parse of Exif embedded in any other format. You can cherry-pick specific IFDs or tags to print, and print them both as normal and JSON-formatted text. You can can also print parsed GPS data and timestamps and even produce a Google S2 geohash from the GPS data, and dump the thumbnail. If using JPEG or PNG, you can also update or add new Exif data.

This project is built on top of go-jpeg-image-structure, go-png-image-structure, and go-exif. PNG added support for Exif only in the last year, and this project was in service of providing useful Exif support for PNG.

Binary downloads are available here.

 

 

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Go: Exif Reader/Writer Library

The go-exif project is now available. It allows you to parse and enumerate/visit/search/dump the existing IFDs/tags in an Exif blob, instantiate a builder to create and construct a new Exif blob, and create a builder from existing IFDs/tags (so you can add/remove starting from what you have). There are also utility functions to make the GPS data manageable.

There are currently 140 unit-tests in the CI process and tested examples covering enumeration, building, thumbnails, GPS, etc…

I have also published go-jpeg-image-structure and go-png-image-structure to actually implement reading/writing Exif in those corresponding formats. PNG adopted Exif support in 2017 and this project was primarily meant to provide PNG with fully-featured Exif-writer support both via library and via command-line tool.

go-exif includes a command-line utility to generally find and parse Exif data in any blob of data. This works for TIFF right off the bat (TIFF is the underlying format of Exif), which I did not specifically write a wrapper implementation for.

 

Go: Image-Processing Microservice

Imaginary is a fun little package that can be Dockerized and deployed next to the rest of your services to offload image-processing:

Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Heroku. It’s almost dependency-free and only uses net/http native package without additional abstractions for better performance.