A simple API service for QR Code generation/recognition.

This project provide Bearychat integration.

Request:

GET /encode?content=helloWorld&size=400&type=png

Params:

• content required
• size QR Code size in pixel, may not be honored
• type png(default) or string

Response:

• HTTP status 200 OK

A image/png or plain text(type=string).

• HTTP status 400 Bad Request

Check your params.

• HTTP status 500

Something unexpected happened.

Request:

POST /decode

Params: image as binary body

Response:

• HTTP status 200 OK

Good decoding:

{
    "ok": true,
    "desc": "",
    "content": [
        "你好"
    ]
}

Everything is ok, but nothing recognized:

{
    "ok": true,
    "desc": "",
    "content": null
}

Something is wrong:

{
    "ok": false,
    "desc": "file decoding error: image: unknown format",
    "content": null
}

• HTTP status 413 Request Entity Too Large

Request Body is too large.

• HTTP status 500

Something unexpected happened.

There is a pre-compiled Docker image alone with C++ dependencies(ZBar), you may pull the image like following:

docker pull nanmu42/qrcode-api

See Docker directory for docker-compose.yaml and more detail.

If you'd like to get you hands dirty, you can build this project as following:

Download and compile ZBar for shared dependencies:

wget https://downloads.sourceforge.net/project/zbar/zbar/0.10/zbar-0.10.tar.bz2
# or, if you are suffering decoding troubles on UTF-8, try this modified version:
# wget https://github.com/nanmu42/zbar-utf8/archive/master.zip
tar -xf zbar-0.10.tar.bz2
cd zbar-0.10
export CFLAGS=""
./configure --disable-video --without-imagemagick --without-qt --without-python --without-gtk --without-x --disable-pthread
make install

Go to cmd/api or cmd/bearychat for further instruction, more details are in README.md there.

Copyright (c) 2018 LI Zhennan

Use of this work is governed by an MIT License. You may find a license copy in project root.