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Scalable OCR pipelines using Python, Tensorflow and Tesseract


Berlin Buzzwords

KulturBrauerei, Schönhauser Allee, Berlin, Deutschland

In this talk we make a trip through the world of text recognition with free software and go step by step through the individual sections of a flexible and scalable OCR application. In a live demo you will be shown how Tesseract is used for text recognition and how the quality can be significantly improved doing a little pre-processing with openCV. Subsequently the documents are stored and indexed in Elasticsearch to allow full text search. All this with just a few lines of code and all in the sense of interactive programming with Jupyter.


  • Quirks and pitfalls in text recognition of scanned documents
  • Potential of pre-processing with openCV
  • Use Tesseract at scale
  • Quantify, compare and revaluate results
  • Use of Tensorflow in a production-ready application
Mark KeinhörsterMark Keinhörster