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Fix typos in OCR tutorial documentation #229

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Fix typos in OCR tutorial documentation #229

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4 changes: 2 additions & 2 deletions docs/example/parse_ocr/index.rst
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Expand Up @@ -24,7 +24,7 @@ Initiate GCV OCR engine and check the image

Currently, ``layoutparser`` supports two types of OCR engines: Google
Cloud Vision and Tesseract OCR engine. And we are going to provide more
support in the future. In this toturial, we will use the Google Cloud
support in the future. In this tutorial, we will use the Google Cloud
Vision engine as an example.

.. code:: python
Expand Down Expand Up @@ -76,7 +76,7 @@ response:

| In this format, GCV automatically find the best aggregation level
for the text, and return the results in a list. We can
| use the ``ocr_agent.gather_text_annotations`` to reterive this type
| use the ``ocr_agent.gather_text_annotations`` to retrieve this type
of information.

2. full_text_annotations
Expand Down