Quanta is a microservice for JPEG image optimizations built using Swift programming language. It is similar to other online tools like jpegmini.com, tinypng.com or compressor.io but it is an in-house solution and based on a proven solution like MozJPEG.
Compared with other mozjpeg wrappers, this software has low memory overhead and fast performance, which can help with horizontal scaling with a large number of instances and simultaneous requests.
We used Swift and Vapor 3 to handle HTTP requests. Check also excellent libraries without which quanta can't work:
Quanta requires MozJPEG to be installed on host.
Run brew install mozjpeg.
You can use the provided script install-linux-dependencies.sh to compile and install mozjpeg. Also, follow official documentation in the repository: https://github.com/mozilla/mozjpeg
Run make to compile the software.
Go to .build/release/ directory and run ./quanta.
There are multiple ways to use Quanta to recompress the JPEG file:
- REST(-ish) API
- proxy method
- via GUI
Quanta provides REST API. This simple endpoint optimizes image by normal HTTP request and returns image (JPEG).
!!! note Quanta always preserves original format. If you send JPEG - you will get (optimized) JPEG.
$ curl -x POST https://quanta.com/optimize/jpg/ -H "Content-Type" \
--form fileBytes=@/tmp/file_to_optimize.jpg
--form quality=75
--output /tmp/optimized_file.jpg
According to the table below, as a result, you can get binary data or JSON struct with an error message.
| Status code | Response | Headers |
|---|---|---|
| 200 | image (binary data) | Content-Type: image/jpegX-Quanta-Ratio: <float> |
| 400 | JSON describes error | Content-Type: application/json |
The easiest way to integrate with an external system because quanta get an external resource and processing it and send you optimized version.
$ export IMAGE_TO_OPTIMIZE=https://quanta.com/images/quanta.jpg
$ curl -x GET https://quanta.com/from/?url=$IMAGE_TO_OPTIMIZE&quality=20
Simple UI allows you to upload pictures and compare various compressions settings.
| Method | Endpoint | Method | Purpose |
|---|---|---|---|
| REST-ish API | /optimize/jpg |
POST | batch processing |
| Proxy method | /from/?url=<url>&quality=<1..100> |
GET | batch processing or quick preview |
| GUI | - | - | one-time optimization |
In this section, you will find information about the performance of quanta. All samples are from the production of Allegro.
| Name | Description | Size | Preview |
|---|---|---|---|
| Sample #1 | a few colors, headings, irrelevant details | 88 kB (960x252) |  |
| Sample #2 | 3 main colors (red, white, black), irrelevant details | 88 kB (960x252) |  |
| Sample #3 | a text (black on white), details with various colors | 508 kB (1600×572) |  |
| Quality | Optimized file size | Elapsed time |
|---|---|---|
| 65 | 33 kb | 160 ms |
| 70 | 37 kb | 149 ms |
| 75 | 42 kb | 158 ms |
| 80 | 49 kb | 157 ms |
| 85 | 58 kb | 168 ms |
| 90 | 71 kb | 262 ms |
Size reduction between 16.889% and 61.0427%.
| Quality | Optimized file size | Elapsed time |
|---|---|---|
| 65 | 30 kb | 257 ms |
| 70 | 34 kb | 258 ms |
| 75 | 39 kb | 197 ms |
| 80 | 47 kb | 179 ms |
| 85 | 55 kb | 175 ms |
| 90 | 74 kb | 197 ms |
Size reduction between 13.4709% and 64.1687%.
| Quality | Optimized file size | Elapsed time |
|---|---|---|
| 65 | 107 kb | 724 ms |
| 70 | 117 kb | 722 ms |
| 75 | 130 kb | 724 ms |
| 80 | 151 kb | 741 ms |
| 85 | 175 kb | 730 ms |
| 90 | 217 kb | 791 ms |
Size reduction between 55.7364% and 78.1365%.
| Image | Original | Quality 75 |
|---|---|---|
| typical_banner_from_showbox.jpeg | 77 kB | 55 kB |