OCR REST API using Tesseract OCR Engine (via Tess4J)

Docker image available: https://hub.docker.com/r/lgdd/tess4j-rest

Try and run:

docker run -it --rm -p 8000:8000 lgdd/tess4j-rest

Run docker-compose up --build (also available as make dev).

Note: You can also run ./mvnw quarkus:dev (or quarkus dev). But for this method to work, you would need the environment variable TESSDATA_PREFIX to be set to the absolute path of this project resource: src/test/resources/test-tessdata/eng.traineddata

You can navigate to http://localhost:8000/q/swagger-ui and test uploading an image.

Or you can quickly test the endpoint with curl (from this project root):

curl -X 'POST' \
     'http://localhost:8000/detect-text' \
     -H 'accept: text/plain' \
     -H 'Content-Type: multipart/form-data' \
     -F 'file=@src/test/resources/test-data/eurotext.png'

# Parent folder path for tesseract data files
ENV TESSDATA_PREFIX="/opt/tesseract/tessdata"

# Suffix for the data repository to use.
# Either "best", "fast" or "".
# See https://github.com/tesseract-ocr/tessdata#readme
ENV TESSERACT_DATA_SUFFIX="best"

# Version of the data repository.
# See https://github.com/tesseract-ocr/tessdata#readme
ENV TESSERACT_DATA_VERSION="4.1.0"

# Additional languages to download on the application startup.
# For the possible values, see https://github.com/tesseract-ocr/tessdata
ENV TESSERACT_DATA_LANGS="fra,spa,deu"

Readiness: /q/healh/ready

Liveness: /q/healh/live

Application is ready and live when all additional languages has been downloaded.

MIT