OpenOCR

Open source OCR-as-a-Service using Tesseract and Docker

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OpenOCR makes it simple to host your own OCR REST API.

The heavy lifting OCR work is handled by Tesseract OCR.

Docker is used to containerize the various components of the service.

screenshot

Features

Launching OpenOCR on a Docker PAAS

OpenOCR can easily run on any PAAS that supports Docker containers. Here are the instructions for a few that have already been tested:

If your preferred PAAS isn't listed, please open a Github issue to request instructions.

Launching OpenOCR on Ubuntu 14.04

OpenOCR can be launched on anything that supports Docker, such as Ubuntu 14.04.

Here's how to install it from scratch and verify that it's working correctly.

Install Docker

See Installing Docker on Ubuntu instructions.

Find out your host address

$ ifconfig
eth0      Link encap:Ethernet  HWaddr 08:00:27:43:40:c7
          inet addr:10.0.2.15  Bcast:10.0.2.255  Mask:255.255.255.0
          ...

The ip address 10.0.2.15 will be used as the RABBITMQ_HOST env variable below.

Launching OpenOCR with Docker Compose on Linux

Docker Compose will start four docker instances

You are now ready to decode images → text via your REST API.

Launching OpenOCR with Docker Compose on OSX

How to test the REST API after turning on the docker-compose up

Where IP_ADDRESS_OF_DOCKER_HOST is what you saw when you run docker-machine env (e.g. 192.168.99.100) and where HTTP_POST is the port number inside the .yml file inside the docker-compose directory presuming it should be the same 9292.

Request

$ curl -X POST -H "Content-Type: application/json" -d '{"img_url":"http://bit.ly/ocrimage","engine":"tesseract"}' http://IP_ADDRESS_OF_DOCKER_HOST:HTTP_PORT/ocr

Assuming the values are (192.168.99.100 and 9292 respectively)

$ curl -X POST -H "Content-Type: application/json" -d '{"img_url":"http://bit.ly/ocrimage","engine":"tesseract"}' http://192.168.99.100:9292/ocr

Response

It will return the decoded text for the test image:

< HTTP/1.1 200 OK
< Date: Tue, 13 May 2014 16:18:50 GMT
< Content-Length: 283
< Content-Type: text/plain; charset=utf-8
<
You can create local variables for the pipelines within the template by
prefixing the variable name with a “$" sign. Variable names have to be
composed of alphanumeric characters and the underscore. In the example
below I have used a few variations that work for variable names.

Test the REST API

Request

$ curl -X POST -H "Content-Type: application/json" -d '{"img_url":"http://bit.ly/ocrimage","engine":"tesseract"}' http://10.0.2.15:$HTTP_PORT/ocr

Response

It will return the decoded text for the test image:

< HTTP/1.1 200 OK
< Date: Tue, 13 May 2014 16:18:50 GMT
< Content-Length: 283
< Content-Type: text/plain; charset=utf-8
<
You can create local variables for the pipelines within the template by
prefixing the variable name with a “$" sign. Variable names have to be
composed of alphanumeric characters and the underscore. In the example
below I have used a few variations that work for variable names.

The REST API also supports:

See the REST API docs and the Go REST client for details.

Uploading local files using curl

The supplied docs/upload-local-file.sh provides an example of how to upload a local file using curl with multipart/related encoding of the json and image data:

Community

License

OpenOCR is Open Source and available under the Apache 2 License.