Convert Figma logo to code with AI

h2non logoimaginary

Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing

5,504
455
5,504
123

Top Related Projects

10,017

thumbor is an open-source photo thumbnail service by globo.com

A caching, resizing image proxy written in Go

Fast and secure standalone server for resizing and converting remote images

2,092

An image resizing server written in Go

1,013

Dockerized application that resizes and crops images on the fly, delivering optimized images in formats such as AVIF, WebP, MozJPEG, or PNG using ImageMagick, with an efficient caching system.

3,344

Fast, secure image processing server and Go library, using libvips

Quick Overview

Imaginary is a fast, simple, and scalable HTTP microservice for image processing. It supports a wide range of image operations and can be easily integrated into existing applications or used as a standalone service. Imaginary is written in Go and leverages libvips for high-performance image processing.

Pros

  • High performance and low memory footprint due to its Go implementation and use of libvips
  • Supports a wide range of image operations, including resizing, cropping, watermarking, and format conversion
  • Easy to deploy and scale, with Docker support and cloud-friendly architecture
  • RESTful API design for simple integration with existing applications

Cons

  • Requires libvips to be installed on the system, which can be complex for some users
  • Limited built-in authentication and authorization mechanisms
  • May require additional setup for advanced features like URL signature verification
  • Documentation could be more comprehensive for some advanced use cases

Code Examples

  1. Resizing an image:
import "github.com/h2non/imaginary/client"

c := client.New("http://localhost:8088")
params := client.Params{
    Width:  300,
    Height: 200,
}
err := c.Resize("input.jpg", "output.jpg", params)
  1. Applying a watermark:
params := client.Params{
    Text:      "Copyright 2023",
    Opacity:   0.5,
    Font:      "Arial",
    FontSize:  20,
    Color:     "255,255,255",
    Position:  "southeast",
}
err := c.Watermark("input.jpg", "output.jpg", params)
  1. Converting image format:
params := client.Params{
    Type: "webp",
}
err := c.Convert("input.jpg", "output.webp", params)

Getting Started

  1. Install libvips (system-dependent, e.g., apt-get install libvips-dev on Ubuntu)
  2. Install Imaginary:
    go get -u github.com/h2non/imaginary
    
  3. Run Imaginary server:
    imaginary -p 8088 -concurrency 10
    
  4. Use the API or client library to process images:
    import "github.com/h2non/imaginary/client"
    
    c := client.New("http://localhost:8088")
    params := client.Params{Width: 300, Height: 200}
    err := c.Resize("input.jpg", "output.jpg", params)
    

Competitor Comparisons

10,017

thumbor is an open-source photo thumbnail service by globo.com

Pros of Thumbor

  • Written in Python, making it easier to extend and integrate with Python-based applications
  • Supports a wider range of image processing operations and filters
  • Has a more extensive ecosystem with plugins and integrations

Cons of Thumbor

  • Generally slower performance compared to Go-based Imaginary
  • Requires more system resources and has a larger memory footprint
  • More complex setup and configuration process

Code Comparison

Thumbor configuration example:

SECURITY_KEY = 'MY_SECURE_KEY'
ALLOW_UNSAFE_URL = False
LOADER = 'thumbor.loaders.http_loader'
STORAGE = 'thumbor.storages.file_storage'

Imaginary configuration example:

docker run -p 8080:8080 h2non/imaginary \
  -concurrency 20 \
  -http-cache-ttl 31556926 \
  -enable-url-source

Both projects offer powerful image processing capabilities, but they cater to different use cases. Thumbor provides more flexibility and features, making it suitable for complex image manipulation tasks. Imaginary, on the other hand, focuses on performance and simplicity, making it ideal for high-traffic scenarios where speed is crucial. The choice between the two depends on specific project requirements, existing technology stack, and performance needs.

A caching, resizing image proxy written in Go

Pros of imageproxy

  • Written in Go, offering good performance and easy deployment
  • Supports a wide range of image processing operations
  • Can proxy images from remote sources, adding flexibility

Cons of imageproxy

  • Less extensive image manipulation capabilities compared to Imaginary
  • Fewer built-in optimization features
  • Limited support for modern image formats like WebP

Code Comparison

imageproxy:

http.HandleFunc("/", imageproxy.NewProxy(nil, nil).ServeHTTP)
http.ListenAndServe(":8080", nil)

Imaginary:

server, err := imaginary.New(opts)
if err != nil {
    panic(err)
}
server.Listen()

Both projects provide simple ways to set up an image processing server, but Imaginary offers more configuration options out of the box.

Key Differences

  • Imaginary is built on libvips, providing more advanced image processing capabilities
  • imageproxy focuses on simplicity and ease of use
  • Imaginary offers better performance for large-scale image processing tasks
  • imageproxy has a more straightforward API for basic image transformations

Use Cases

imageproxy is ideal for simple image resizing and caching needs, while Imaginary is better suited for complex image manipulation and high-performance scenarios.

Fast and secure standalone server for resizing and converting remote images

Pros of imgproxy

  • Written in Go, offering better performance and lower memory usage
  • Supports a wider range of image formats, including WebP and AVIF
  • More advanced security features, such as signature verification for URLs

Cons of imgproxy

  • Less extensive image manipulation options compared to Imaginary
  • Steeper learning curve due to more complex configuration options
  • Limited built-in support for image analysis and metadata extraction

Code Comparison

imgproxy example:

r.HandleFunc("/resize", func(w http.ResponseWriter, r *http.Request) {
    img := imgproxy.New(imgproxy.Options{})
    err := img.Resize(w, r.URL.Query().Get("url"), 300, 200)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
    }
})

Imaginary example:

r.HandleFunc("/resize", func(w http.ResponseWriter, r *http.Request) {
    opts := bimg.Options{Width: 300, Height: 200}
    buf, err := bimg.Resize(input, opts)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
    }
    w.Write(buf)
})

Both repositories offer powerful image processing capabilities, with imgproxy focusing on performance and security, while Imaginary provides a broader range of image manipulation features. The choice between them depends on specific project requirements and priorities.

2,092

An image resizing server written in Go

Pros of picfit

  • Written in Go, which may be more familiar to some developers
  • Supports multiple storage backends (e.g., S3, Google Cloud Storage)
  • Includes a simple web UI for testing and debugging

Cons of picfit

  • Less actively maintained (last commit over 2 years ago)
  • Fewer image processing operations compared to Imaginary
  • Limited documentation and examples

Code Comparison

Imaginary (image resizing):

server.Handle("/resize", func(ctx *bimg.Options, w http.ResponseWriter, r *http.Request) error {
    return resizeImage(ctx, w, r)
})

picfit (image resizing):

func Resize(source image.Image, width int, height int, filter imaging.ResampleFilter) image.Image {
    return imaging.Resize(source, width, height, filter)
}

Both projects use similar approaches for image processing, but Imaginary provides a more comprehensive HTTP server implementation, while picfit focuses on core image manipulation functions.

Imaginary offers a wider range of image processing operations and is more actively maintained, making it a better choice for projects requiring extensive image manipulation capabilities. However, picfit's support for multiple storage backends and simpler Go-based implementation may be advantageous for certain use cases.

1,013

Dockerized application that resizes and crops images on the fly, delivering optimized images in formats such as AVIF, WebP, MozJPEG, or PNG using ImageMagick, with an efficient caching system.

Pros of Flyimg

  • Written in PHP, which may be more familiar to some developers
  • Supports more image formats out of the box (including WebP and PDF)
  • Offers a simpler configuration process with fewer dependencies

Cons of Flyimg

  • Less performant than Imaginary for high-volume image processing
  • Fewer advanced features like face detection or smart cropping
  • Less active development and smaller community compared to Imaginary

Code Comparison

Flyimg (PHP):

$params = [
    'w' => 300,
    'h' => 200,
    'fit' => 'crop'
];
$url = 'https://example.com/image.jpg';
$newImageUrl = $flyimg->generateUrl($url, $params);

Imaginary (Go):

params := map[string]string{
    "width":  "300",
    "height": "200",
    "type":   "fit",
}
newImageUrl := imaginary.Process("https://example.com/image.jpg", params)

Both projects aim to provide on-the-fly image processing and manipulation, but they differ in implementation language and feature set. Flyimg offers a more straightforward setup and broader format support, while Imaginary provides better performance and more advanced processing capabilities. The choice between them depends on specific project requirements, developer expertise, and scalability needs.

3,344

Fast, secure image processing server and Go library, using libvips

Pros of imagor

  • Written in Go, potentially offering better performance and lower resource usage
  • Supports a wider range of image processing operations, including face detection and smart cropping
  • More actively maintained with recent updates and contributions

Cons of imagor

  • Less extensive documentation compared to imaginary
  • Fewer built-in storage options for image caching
  • May have a steeper learning curve for newcomers due to its more complex feature set

Code Comparison

imagor:

func (e *Engine) Process(ctx context.Context, img image.Image, params imagor.Params) (image.Image, error) {
    // Image processing logic
}

imaginary:

func ImageHandler(w http.ResponseWriter, r *http.Request) {
    // HTTP handler for image processing
}

Both projects provide powerful image processing capabilities, but they differ in their approach and feature sets. imagor offers more advanced features and is actively maintained, while imaginary provides a simpler interface and more storage options. The choice between them depends on specific project requirements and the desired level of complexity.

Convert Figma logo designs to code with AI

Visual Copilot

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

imaginary Build Status Docker Docker Registry Fly.io

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 & Fly.io. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.

Supports multiple image operations exposed as a simple HTTP API, with additional optional features such as API token authorization, URL signature protection, HTTP traffic throttle strategy and CORS support for web clients.

imaginary can read images from HTTP POST payloads, server local path or remote HTTP servers, supporting JPEG, PNG, WEBP, HEIF, and optionally TIFF, PDF, GIF and SVG formats if libvips@8.3+ is compiled with proper library bindings.

imaginary is able to output images as JPEG, PNG and WEBP formats, including transparent conversion across them.

imaginary optionally supports image placeholder fallback mechanism in case of image processing error or server error of any nature, hence an image will be always returned by imaginary even in case of error, trying to match the requested image size and format type transparently. The error details will be provided in the response HTTP header Error field serialized as JSON.

imaginary uses internally libvips, a powerful and efficient library written in C for fast image processing which requires a low memory footprint and it's typically 4x faster than using the quickest ImageMagick and GraphicsMagick settings or Go native image package, and in some cases it's even 8x faster processing JPEG images.

To get started, take a look the installation steps, usage cases and API docs.

Contents

Supported image operations

  • Resize
  • Enlarge
  • Crop
  • SmartCrop (based on libvips built-in algorithm)
  • Rotate (with auto-rotate based on EXIF orientation)
  • AutoRotate with further image transformations (based on EXIF metadata orientation)
  • Flip (with auto-flip based on EXIF metadata)
  • Flop
  • Zoom
  • Thumbnail
  • Fit
  • Pipeline of multiple independent image transformations in a single HTTP request.
  • Configurable image area extraction
  • Embed/Extend image, supporting multiple modes (white, black, mirror, copy or custom background color)
  • Watermark (customizable by text)
  • Watermark image
  • Custom output color space (RGB, black/white...)
  • Format conversion (with additional quality/compression settings)
  • Info (image size, format, orientation, alpha...)
  • Reply with default or custom placeholder image in case of error.
  • Blur

Prerequisites

  • libvips 8.8+ (8.9+ recommended)
  • C compatible compiler such as gcc 4.6+ or clang 3.0+
  • Go 1.12+

Installation

go get -u github.com/h2non/imaginary

Also, be sure you have the latest version of bimg:

go get -u github.com/h2non/bimg

libvips

Run the following script as sudo (supports OSX, Debian/Ubuntu, Redhat, Fedora, Amazon Linux):

curl -s https://raw.githubusercontent.com/h2non/bimg/master/preinstall.sh | sudo bash -

The install script requires curl and pkg-config

Docker

See Dockerfile for image details.

Fetch the image (comes with latest stable Go and libvips versions)

docker pull h2non/imaginary

Start the container with optional flags (default listening on port 9000)

docker run -p 9000:9000 h2non/imaginary -cors -gzip

Start the container enabling remote URL source image processing via GET requests and url query param.

docker run -p 9000:9000 h2non/imaginary -p 9000 -enable-url-source

Start the container enabling local directory image process via GET requests and file query param.

docker run -p 9000:9000 h2non/imaginary -p 900 -mount /volume/images

Start the container in debug mode:

docker run -p 9000:9000 -e "DEBUG=*" h2non/imaginary

Enter to the interactive shell in a running container

sudo docker exec -it <containerIdOrName> bash

Stop the container

docker stop h2non/imaginary

For more usage examples, see the command line usage.

All Docker images tags are available here.

Docker Compose

You can add imaginary to your docker-compose.yml file:

version: "3"
services:
  imaginary:
    image: h2non/imaginary:latest
    # optionally mount a volume as local image source
    volumes:
      - images:/mnt/data
    environment:
       PORT: 9000
    command: -enable-url-source -mount /mnt/data
    ports:
      - "9000:9000"

Fly.io

Deploy imaginary in seconds close to your users in Fly.io cloud by clicking on the button below:

About Fly.io

Fly is a platform for applications that need to run globally. It runs your code close to users and scales compute in cities where your app is busiest. Write your code, package it into a Docker image, deploy it to Fly's platform and let that do all the work to keep your app snappy.

You can learn more about how Fly.io can reduce latency and provide a better experience by serving traffic close to your users location.

Global image service tutorial

Learn more about how to run a custom deployment of imaginary on the Fly.io cloud.

CloudFoundry

Assuming you have cloudfoundry account, bluemix or pivotal and command line utility installed.

Clone this repository:

git clone https://github.com/h2non/imaginary.git

Push the application

cf push -b https://github.com/yacloud-io/go-buildpack-imaginary.git imaginary-inst01 --no-start

Define the library path

cf set-env imaginary-inst01 LD_LIBRARY_PATH /home/vcap/app/vendor/vips/lib

Start the application

cf start imaginary-inst01

Google Cloud Run

Click to deploy on Google Cloud Run:

Run on Google Cloud

Recommended resources

Given the multithreaded native nature of Go, in terms of CPUs, most cores means more concurrency and therefore, a better performance can be achieved. From the other hand, in terms of memory, 512MB of RAM is usually enough for small services with low concurrency (<5 requests/second). Up to 2GB for high-load HTTP service processing potentially large images or exposed to an eventual high concurrency.

If you need to expose imaginary as public HTTP server, it's highly recommended to protect the service against DDoS-like attacks. imaginary has built-in support for HTTP concurrency throttle strategy to deal with this in a more convenient way and mitigate possible issues limiting the number of concurrent requests per second and caching the awaiting requests, if necessary.

Production notes

In production focused environments it's highly recommended to enable the HTTP concurrency throttle strategy in your imaginary servers.

The recommended concurrency limit per server to guarantee a good performance is up to 20 requests per second.

You can enable it simply passing a flag to the binary:

$ imaginary -concurrency 20

Memory issues

In case you are experiencing any persistent unreleased memory issues in your deployment, you can try passing this environment variables to imaginary:

MALLOC_ARENA_MAX=2 imaginary -p 9000 -enable-url-source

Graceful shutdown

When you use a cluster, it is necessary to control how the deployment is executed, and it is very useful to finish the containers in a controlled manner.

You can use the next command:

$ ps auxw | grep 'bin/imaginary' | awk 'NR>1{print buf}{buf = $2}' | xargs kill -TERM > /dev/null 2>&1

Scalability

If you're looking for a large scale solution for massive image processing, you should scale imaginary horizontally, distributing the HTTP load across a pool of imaginary servers.

Assuming that you want to provide a high availability to deal efficiently with, let's say, 100 concurrent req/sec, a good approach would be using a front end balancer (e.g: HAProxy) to delegate the traffic control flow, ensure the quality of service and distribution the HTTP across a pool of servers:

        |==============|
        |  Dark World  |
        |==============|
              ||||
        |==============|
        |   Balancer   |
        |==============|
           |       |
          /         \
         /           \
        /             \
 /-----------\   /-----------\
 | imaginary |   | imaginary | (*n)
 \-----------/   \-----------/

Clients

Feel free to send a PR if you created a client for other language.

Performance

libvips is probably the faster open source solution for image processing. Here you can see some performance test comparisons for multiple scenarios:

Benchmark

See benchmark.sh for more details

Environment: Go 1.4.2. libvips-7.42.3. OSX i7 2.7Ghz

Requests  [total]       200
Duration  [total, attack, wait]   10.030639787s, 9.949499515s, 81.140272ms
Latencies [mean, 50, 95, 99, max]   83.124471ms, 82.899435ms, 88.948008ms, 95.547765ms, 104.384977ms
Bytes In  [total, mean]     23443800, 117219.00
Bytes Out [total, mean]     175517000, 877585.00
Success   [ratio]       100.00%
Status Codes  [code:count]      200:200

Conclusions

imaginary can deal efficiently with up to 20 request per second running in a multicore machine, where it crops a JPEG image of 5MB and spending per each request less than 100 ms

The most expensive image operation under high concurrency scenarios (> 20 req/sec) is the image enlargement, which requires a considerable amount of math operations to scale the original image. In this kind of operation the required processing time usually grows over the time if you're stressing the server continuously. The advice here is as simple as taking care about the number of concurrent enlarge operations to avoid server performance bottlenecks.

Command-line usage

Usage:
  imaginary -p 80
  imaginary -cors
  imaginary -concurrency 10
  imaginary -path-prefix /api/v1
  imaginary -enable-url-source
  imaginary -disable-endpoints form,health,crop,rotate
  imaginary -enable-url-source -allowed-origins http://localhost,http://server.com,http://*.example.org
  imaginary -enable-url-source -enable-auth-forwarding
  imaginary -enable-url-source -authorization "Basic AwDJdL2DbwrD=="
  imaginary -enable-placeholder
  imaginary -enable-url-source -placeholder ./placeholder.jpg
  imaginary -enable-url-signature -url-signature-key 4f46feebafc4b5e988f131c4ff8b5997
  imaginary -enable-url-source -forward-headers X-Custom,X-Token
  imaginary -h | -help
  imaginary -v | -version

Options:
  -a <addr>                 Bind address [default: *]
  -p <port>                 Bind port [default: 8088]
  -h, -help                 Show help
  -v, -version              Show version
  -path-prefix <value>      Url path prefix to listen to [default: "/"]
  -cors                     Enable CORS support [default: false]
  -gzip                     Enable gzip compression (deprecated) [default: false]
  -disable-endpoints        Comma separated endpoints to disable. E.g: form,crop,rotate,health [default: ""]
  -key <key>                Define API key for authorization
  -mount <path>             Mount server local directory
  -http-cache-ttl <num>     The TTL in seconds. Adds caching headers to locally served files.
  -http-read-timeout <num>  HTTP read timeout in seconds [default: 60]
  -http-write-timeout <num> HTTP write timeout in seconds [default: 60]
  -enable-url-source        Enable remote HTTP URL image source processing (?url=http://..)
  -enable-placeholder       Enable image response placeholder to be used in case of error [default: false]
  -enable-auth-forwarding   Forwards X-Forward-Authorization or Authorization header to the image source server. -enable-url-source flag must be defined. Tip: secure your server from public access to prevent attack vectors
  -forward-headers          Forwards custom headers to the image source server. -enable-url-source flag must be defined.
  -enable-url-signature     Enable URL signature (URL-safe Base64-encoded HMAC digest) [default: false]
  -url-signature-key        The URL signature key (32 characters minimum)
  -allowed-origins <urls>   Restrict remote image source processing to certain origins (separated by commas). Note: Origins are validated against host *AND* path.
  -max-allowed-size <bytes> Restrict maximum size of http image source (in bytes)
  -max-allowed-resolution <megapixels> Restrict maximum resolution of the image [default: 18.0]
  -certfile <path>          TLS certificate file path
  -keyfile <path>           TLS private key file path
  -authorization <value>    Defines a constant Authorization header value passed to all the image source servers. -enable-url-source flag must be defined. This overwrites authorization headers forwarding behavior via X-Forward-Authorization
  -placeholder <path>       Image path to image custom placeholder to be used in case of error. Recommended minimum image size is: 1200x1200
  -concurrency <num>        Throttle concurrency limit per second [default: disabled]
  -burst <num>              Throttle burst max cache size [default: 100]
  -mrelease <num>           OS memory release interval in seconds [default: 30]
  -cpus <num>               Number of used cpu cores.
                            (default for current machine is 8 cores)
  -log-level                Set log level for http-server. E.g: info,warning,error [default: info].
                            Or can use the environment variable GOLANG_LOG=info.

Start the server in a custom port:

imaginary -p 8080

Also, you can pass the port as environment variable:

PORT=8080 imaginary

Enable HTTP server throttle strategy (max 10 requests/second):

imaginary -p 8080 -concurrency 10

Enable remote URL image fetching (then you can do GET request passing the url=http://server.com/image.jpg query param):

imaginary -p 8080 -enable-url-source

Mount local directory (then you can do GET request passing the file=image.jpg query param):

imaginary -p 8080 -mount ~/images

Enable authorization header forwarding to image origin server. X-Forward-Authorization or Authorization (by priority) header value will be forwarded as Authorization header to the target origin server, if one of those headers are present in the incoming HTTP request. Security tip: secure your server from public access to prevent attack vectors when enabling this option:

imaginary -p 8080 -enable-url-source -enable-auth-forwarding

Or alternatively you can manually define an constant Authorization header value that will be always sent when fetching images from remote image origins. If defined, X-Forward-Authorization or Authorization headers won't be forwarded, and therefore ignored, if present. Note:

imaginary -p 8080 -enable-url-source -authorization "Bearer s3cr3t"

Send fixed caching headers in the response. The headers can be set in either "cache nothing" or "cache for N seconds". By specifying 0 imaginary will send the "don't cache" headers, otherwise it sends headers with a TTL. The following example informs the client to cache the result for 1 year:

imaginary -p 8080 -enable-url-source -http-cache-ttl 31556926

Enable placeholder image HTTP responses in case of server error/bad request. The placeholder image will be dynamically and transparently resized matching the expected image widthxheight define in the HTTP request params. Also, the placeholder image will be also transparently converted to the desired image type defined in the HTTP request params, so the API contract should be maintained as much better as possible.

This feature is particularly useful when using imaginary as public HTTP service consumed by Web clients. In case of error, the appropriate HTTP status code will be used to reflect the error, and the error details will be exposed serialized as JSON in the Error response HTTP header, for further inspection and convenience for API clients.

imaginary -p 8080 -enable-placeholder -enable-url-source

You can optionally use a custom placeholder image. Since the placeholder image should fit a variety of different sizes, it's recommended to use a large image, such as 1200x1200. Supported custom placeholder image types are: JPEG, PNG and WEBP.

imaginary -p 8080 -placeholder=placeholder.jpg -enable-url-source

Enable URL signature (URL-safe Base64-encoded HMAC digest).

This feature is particularly useful to protect against multiple image operations attacks and to verify the requester identity.

imaginary -p 8080 -enable-url-signature -url-signature-key 4f46feebafc4b5e988f131c4ff8b5997

It is recommended to pass key as environment variables:

URL_SIGNATURE_KEY=4f46feebafc4b5e988f131c4ff8b5997 imaginary -p 8080 -enable-url-signature

Increase libvips threads concurrency (experimental):

VIPS_CONCURRENCY=10 imaginary -p 8080 -concurrency 10

Enable debug mode:

DEBUG=* imaginary -p 8080

Or filter debug output by package:

DEBUG=imaginary imaginary -p 8080

Disable info logs:

GOLANG_LOG=error imaginary -p 8080

Examples

Reading a local image (you must pass the -mount=<directory> flag):

curl -O "http://localhost:8088/crop?width=500&height=400&file=foo/bar/image.jpg"

Fetching the image from a remote server (you must pass the -enable-url-source flag):

curl -O "http://localhost:8088/crop?width=500&height=400&url=https://raw.githubusercontent.com/h2non/imaginary/master/testdata/large.jpg"

Crop behaviour can be influenced with the gravity parameter. You can specify a preference for a certain region (north, south, etc.). To enable Smart Crop you can specify the value "smart" to autodetect the most interesting section to consider as center point for the crop operation:

curl -O "http://localhost:8088/crop?width=500&height=200&gravity=smart&url=https://raw.githubusercontent.com/h2non/imaginary/master/testdata/smart-crop.jpg"

Playground

imaginary exposes an ugly HTML form for playground purposes in: http://localhost:8088/form

HTTP API

Allowed Origins

imaginary can be configured to block all requests for images with a src URL this is not specified in the allowed-origins list. Imaginary will validate that the remote url matches the hostname and path of at least one origin in allowed list. Perhaps the easiest way to show how this works is to show some examples.

allowed-origins settingimage urlis valid
-allowed-origins https://s3.amazonaws.com/some-bucket/s3.amazonaws.com/some-bucket/images/image.pngVALID
-allowed-origins https://s3.amazonaws.com/some-bucket/s3.amazonaws.com/images/image.pngNOT VALID (no matching basepath)
-allowed-origins https://s3.amazonaws.com/some-*s3.amazonaws.com/some-bucket/images/image.pngVALID
-allowed-origins https://*.amazonaws.com/some-bucket/anysubdomain.amazonaws.com/some-bucket/images/image.pngVALID
-allowed-origins https://*.amazonaws.comanysubdomain.amazonaws.comimages/image.pngVALID
-allowed-origins https://*.amazonaws.comwww.notaws.comimages/image.pngNOT VALID (no matching host)
-allowed-origins https://*.amazonaws.com, foo.amazonaws.com/some-bucket/bar.amazonaws.com/some-other-bucket/image.pngVALID (matches first condition but not second)

Authorization

imaginary supports a simple token-based API authorization. To enable it, you should pass the -key flag to the binary.

API token can be defined as HTTP header (API-Key) or query param (key).

Example request with API key:

POST /crop HTTP/1.1
Host: localhost:8088
API-Key: secret

URL signature

The URL signature is provided by the sign request parameter.

The HMAC-SHA256 hash is created by taking the URL path (including the leading /), the request parameters (alphabetically-sorted and concatenated with & into a string). The hash is then base64url-encoded.

Here an example in Go:

signKey  := "4f46feebafc4b5e988f131c4ff8b5997"
urlPath  := "/resize"
urlQuery := "file=image.jpg&height=200&type=jpeg&width=300"

h := hmac.New(sha256.New, []byte(signKey))
h.Write([]byte(urlPath))
h.Write([]byte(urlQuery))
buf := h.Sum(nil)

fmt.Println("sign=" + base64.RawURLEncoding.EncodeToString(buf))

Errors

imaginary will always reply with the proper HTTP status code and JSON body with error details.

Here an example response error when the payload is empty:

{
  "message": "Cannot read payload: no such file",
  "code": 1
}

See all the predefined supported errors here.

Placeholder

If -enable-placeholder or -placeholder <image path> flags are passed to imaginary, a placeholder image will be used in case of error or invalid request input.

If -enable-placeholder is passed, the default imaginary placeholder image will be used, however you can customized it via -placeholder flag, loading a custom compatible image from the file system.

Since imaginary has been partially designed to be used as public HTTP service, including web pages, in certain scenarios the response MIME type must be respected, so the server will always reply with a placeholder image in case of error, such as image processing error, read error, payload error, request invalid request or any other.

You can customize the placeholder image passing the -placeholder <image path> flag when starting imaginary.

In this scenarios, the error message details will be exposed in the Error response header field as JSON for further inspection from API clients.

In some edge cases the placeholder image resizing might fail, so a 400 Bad Request will be used as response status and the Content-Type will be application/json with the proper message info. Note that this scenario won't be common.

Form data

If you're pushing images to imaginary as multipart/form-data (you can do it as well as image/*), you must define at least one input field called file with the raw image data in order to be processed properly by imaginary.

Params

Complete list of available params. Take a look to each specific endpoint to see which params are supported. Image measures are always in pixels, unless otherwise indicated.

  • width int - Width of image area to extract/resize
  • height int - Height of image area to extract/resize
  • top int - Top edge of area to extract. Example: 100
  • left int - Left edge of area to extract. Example: 100
  • areawidth int - Height area to extract. Example: 300
  • areaheight int - Width area to extract. Example: 300
  • quality int - JPEG image quality between 1-100. Defaults to 80
  • compression int - PNG compression level. Default: 6
  • palette bool - Enable 8-bit quantisation. Works with only PNG images. Default: false
  • rotate int - Image rotation angle. Must be multiple of 90. Example: 180
  • factor int - Zoom factor level. Example: 2
  • margin int - Text area margin for watermark. Example: 50
  • dpi int - DPI value for watermark. Example: 150
  • textwidth int - Text area width for watermark. Example: 200
  • opacity float - Opacity level for watermark text or watermark image. Default: 0.2
  • flip bool - Transform the resultant image with flip operation. Default: false
  • flop bool - Transform the resultant image with flop operation. Default: false
  • force bool - Force image transformation size. Default: false
  • nocrop bool - Disable crop transformation. Defaults depend on the operation
  • noreplicate bool - Disable text replication in watermark. Defaults to false
  • norotation bool - Disable auto rotation based on EXIF orientation. Defaults to false
  • noprofile bool - Disable adding ICC profile metadata. Defaults to false
  • stripmeta bool - Remove original image metadata, such as EXIF metadata. Defaults to false
  • text string - Watermark text content. Example: copyright (c) 2189
  • font string - Watermark text font type and format. Example: sans bold 12
  • color string - Watermark text RGB decimal base color. Example: 255,200,150
  • image string - Watermark image URL pointing to the remote HTTP server.
  • type string - Specify the image format to output. Possible values are: jpeg, png, webp and auto. auto will use the preferred format requested by the client in the HTTP Accept header. A client can provide multiple comma-separated choices in Accept with the best being the one picked.
  • gravity string - Define the crop operation gravity. Supported values are: north, south, centre, west, east and smart. Defaults to centre.
  • file string - Use image from server local file path. In order to use this you must pass the -mount=<dir> flag.
  • url string - Fetch the image from a remote HTTP server. In order to use this you must pass the -enable-url-source flag.
  • colorspace string - Use a custom color space for the output image. Allowed values are: srgb or bw (black&white)
  • field string - Custom image form field name if using multipart/form. Defaults to: file
  • extend string - Extend represents the image extend mode used when the edges of an image are extended. Defaults to mirror. Allowed values are: black, copy, mirror, white, lastpixel and background. If background value is specified, you can define the desired extend RGB color via background param, such as ?extend=background&background=250,20,10. For more info, see libvips docs.
  • background string - Background RGB decimal base color to use when flattening transparent PNGs. Example: 255,200,150
  • sigma float - Size of the gaussian mask to use when blurring an image. Example: 15.0
  • minampl float - Minimum amplitude of the gaussian filter to use when blurring an image. Default: Example: 0.5
  • operations json - Pipeline of image operation transformations defined as URL safe encoded JSON array. See pipeline endpoints for more details.
  • sign string - URL signature (URL-safe Base64-encoded HMAC digest)
  • interlace bool - Use progressive / interlaced format of the image output. Defaults to false
  • aspectratio string - Apply aspect ratio by giving either image's height or width. Exampe: 16:9

GET /

Content-Type: application/json

Serves as JSON the current imaginary, bimg and libvips versions.

Example response:

{
  "imaginary": "0.1.28",
  "bimg": "1.0.5",
  "libvips": "8.4.1"
}

GET /health

Content-Type: application/json

Provides some useful statistics about the server stats with the following structure:

  • uptime number - Server process uptime in seconds.
  • allocatedMemory number - Currently allocated memory in megabytes.
  • totalAllocatedMemory number - Total allocated memory over the time in megabytes.
  • goroutines number - Number of running goroutines.
  • cpus number - Number of used CPU cores.

Example response:

{
  "uptime": 1293,
  "allocatedMemory": 5.31,
  "totalAllocatedMemory": 34.3,
  "goroutines": 19,
  "cpus": 8
}

GET /form

Content Type: text/html

Serves an ugly HTML form, just for testing/playground purposes

GET | POST /info

Accepts: image/*, multipart/form-data. Content-Type: application/json

Returns the image metadata as JSON:

{
  "width": 550,
  "height": 740,
  "type": "jpeg",
  "space": "srgb",
  "hasAlpha": false,
  "hasProfile": true,
  "channels": 3,
  "orientation": 1
}

GET | POST /crop

Accepts: image/*, multipart/form-data. Content-Type: image/*

Crop the image by a given width or height. Image ratio is maintained

Allowed params
  • width int
  • height int
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • force bool
  • rotate int
  • embed bool
  • norotation bool
  • noprofile bool
  • flip bool
  • flop bool
  • stripmeta bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • gravity string
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string

GET | POST /smartcrop

Accepts: image/*, multipart/form-data. Content-Type: image/*

Crop the image by a given width or height using the libvips built-in smart crop algorithm.

Allowed params
  • width int
  • height int
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • force bool
  • rotate int
  • embed bool
  • norotation bool
  • noprofile bool
  • flip bool
  • flop bool
  • stripmeta bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • gravity string
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string

GET | POST /resize

Accepts: image/*, multipart/form-data. Content-Type: image/*

Resize an image by width or height. Image aspect ratio is maintained

Allowed params
  • width int required
  • height int
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • rotate int
  • nocrop bool - Defaults to true
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

GET | POST /enlarge

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • width int required
  • height int required
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • rotate int
  • nocrop bool - Defaults to false
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • palette bool

GET | POST /extract

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • top int required
  • left int
  • areawidth int required
  • areaheight int
  • width int
  • height int
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • rotate int
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

GET | POST /zoom

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • factor number required
  • width int
  • height int
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • rotate int
  • nocrop bool - Defaults to true
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

GET | POST /thumbnail

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • width int required
  • height int required
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • rotate int
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

GET | POST /fit

Accepts: image/*, multipart/form-data. Content-Type: image/*

Resize an image to fit within width and height, without cropping. Image aspect ratio is maintained The width and height specify a maximum bounding box for the image.

Allowed params
  • width int required
  • height int required
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • rotate int
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

GET | POST /rotate

Accepts: image/*, multipart/form-data. Content-Type: image/*

GET | POST /autorotate

Accepts: image/*, multipart/form-data. Content-Type: image/*

Automatically rotate the image with no further image transformations based on EXIF orientation metadata.

Returns a new image with the same size and format as the input image.

Allowed params
  • rotate int required
  • width int
  • height int
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

GET | POST /flip

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • width int
  • height int
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

GET | POST /flop

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • width int
  • height int
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

GET | POST /convert

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • type string required
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • rotate int
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

GET | POST /pipeline

Accepts: image/*, multipart/form-data. Content-Type: image/*

This endpoint allow the user to declare a pipeline of multiple independent image transformation operations all in a single HTTP request.

Note: a maximum of 10 independent operations are current allowed within the same HTTP request.

Internally, it operates pretty much as a sequential reducer pattern chain, where given an input image and a set of operations, for each independent image operation iteration, the output result image will be passed to the next one, as the accumulated result, until finishing all the operations.

In imperative programming, this would be pretty much analog to the following code:

var image
for operation in operations {
  image = operation.Run(image, operation.Options)
}
Allowed params
  • operations json required - URL safe encoded JSON with a list of operations. See below for interface details.
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
Operations JSON specification

Self-documented JSON operation schema:

[
  {
    "operation": string, // Operation name identifier. Required.
    "ignore_failure": boolean, // Ignore error in case of failure and continue with the next operation. Optional.
    "params": map[string]mixed, // Object defining operation specific image transformation params, same as supported URL query params per each endpoint.
  }
]
Supported operations names
Example
[
  {
    "operation": "crop",
    "params": {
      "width": 500,
      "height": 300
    }
  },
  {
    "operation": "watermark",
    "params": {
      "text": "I need some covfete",
      "font": "Verdana",
      "textwidth": 100,
      "opacity": 0.8
    }
  },
  {
    "operation": "rotate",
    "params": {
      "rotate": 180
    }
  },
  {
    "operation": "convert",
    "params": {
      "type": "webp"
    }
  }
]

GET | POST /watermark

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • text string required
  • margin int
  • dpi int
  • textwidth int
  • opacity float
  • noreplicate bool
  • font string
  • color string
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • rotate int
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • palette bool

GET | POST /watermarkimage

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • image string required - URL to watermark image, example: ?image=https://logo-server.com/logo.jpg
  • top int - Top position of the watermark image
  • left int - Left position of the watermark image
  • opacity float - Opacity value of the watermark image
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • rotate int
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • sigma float
  • minampl float
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • palette bool

GET | POST /blur

Accepts: image/*, multipart/form-data. Content-Type: image/*

Allowed params
  • sigma float required
  • minampl float
  • width int
  • height int
  • quality int (JPEG-only)
  • compression int (PNG-only)
  • type string
  • file string - Only GET method and if the -mount flag is present
  • url string - Only GET method and if the -enable-url-source flag is present
  • embed bool
  • force bool
  • norotation bool
  • noprofile bool
  • stripmeta bool
  • flip bool
  • flop bool
  • extend string
  • background string - Example: ?background=250,20,10
  • colorspace string
  • field string - Only POST and multipart/form payloads
  • interlace bool
  • aspectratio string
  • palette bool

Logging

Imaginary uses an apache compatible log format.

Fluentd log ingestion

You can ingest Imaginary logs with fluentd using the following fluentd config :

# use your own tag name (*.imaginary for this example)
<filter *.imaginary>
    @type parser
    key_name log
    reserve_data true

    <parse>
        @type multi_format
        # access logs parser
        <pattern>
            format regexp
            expression /^[^ ]* [^ ]* [^ ]* \[(?<time>[^\]]*)\] "(?<method>\S+)(?: +(?<path>[^ ]*) +\S*)?" (?<code>[^ ]*) (?<size>[^ ]*) (?<response_time>[^ ]*)$/
            types code:integer,size:integer,response_time:float
            time_key time
            time_format %d/%b/%Y %H:%M:%S
        </pattern>
        # warnings / error logs parser
        <pattern>
            format none
            message_key message
        </pattern>
    </parse>
</filter>

<match *.imaginary>
    @type rewrite_tag_filter

    # Logs with code field are access logs, and logs without are error logs
    <rule>
        key code
        pattern ^.+$
        tag ${tag}.access
    </rule>
    <rule>
        key code
        pattern ^.+$
        invert true
        tag ${tag}.error
    </rule>
</match>

In the end, access records are tagged with *.imaginary.access, and warning / error records are tagged with *.imaginary.error.

Support

Backers

Support us with a monthly donation and help us continue our activities. [Become a backer]

Support this project

OpenCollective

Sponsors

Become a sponsor and get your logo on our README on Github with a link to your site. [Become a sponsor]

Authors

License

MIT - Tomas Aparicio

views