Skip to main content

OCR-Ops

Project description

ocr-ops

OCR-Ops is infrastructure to perform Optimal Character Recognition (OCR) at scale on a large number of images and videos. Built on top of the algo-ops framework, OCR-Ops is modular and extensible in its data processing operations.

Key Features:

  • Supports building an OCRPipeline that can utilize multiple popular OCR annotation methods (e.g. PyTesseract, EasyOCR, etc.) and return the results in structured and efficient fashion within a unified framework.
  • Enables multi-levels of information of the OCR application (e.g. text-only, bounding boxes, etc.)
  • Allows definition of an image pre-processing pipeline (before OCR) and a text-cleaning pipeline (after OCR) of detected but noisy text to enable optimal and robust OCR performance.
  • Supports several nice presets that are plug-and-play for the above purpose!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ocr-ops-0.0.0.4.2.8.tar.gz (22.1 kB view hashes)

Uploaded Source

Built Distribution

ocr_ops-0.0.0.4.2.8-py3-none-any.whl (28.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page