Lecture capture, training recording and conference webcasting produce long videos.
For those who wish to review content and access precise information, search is the key. Using Optical Character Recognition (OCR), UbiCast analyses captured presentation material and extracts the words out of all the slides to make them searchable.
For more information see you here: https://www.ubicast.eu/
Optical Character Recognition is the mechanical
or electronic conversion of images of typed,
handwritten or printed text into machine-
encoded text, whether from a scanned document,
a photo of a document, a scene-photo or from
subtitle text superimposed on an image (for
example from a television broadcast)
OCR is a field of research in pattern recognition,
artificial intelligence and computer vision.
What is OCR?
Lecture capture, training recording and conference
webcasting produce long videos.
For those who wish to review content and access
precise information, search is the key. Using Optical
Character Recognition (OCR), UbiCast analyses
captured presentation material and extracts the
words out of all the slides to make them searchable.
- Works with any presentation material
(PowerPoint, Keynote, PDFs, etc.)
- Easy access to the moment in the video when
the slide containing the word is displayed
- Does not require the presenter to submit their
presentation at any point in time
How to use it in your presenta5ons?
Here some 5ps to op5mize the use of OCR in your
UbiCast video presenta5ons:
1. Ensure the contrast between the background and
2. Use a plain background
Do not place images in the background.
This could harm the character recognition
for the software.
Here an example of bad practice.
3. Keep an eye the resolu5on and image size
The resolution of UbiCast stations and the one
of the computers projecting the presentation
should be the same to avoid black stripes
Ideally, the picture size is 4/3 or 16/9 .
An example of well analyzed slide
by the UbiCast system:
A white background with black/
dark blue text and mainly
Thus here, on this slide, all the
keywords were successfully
extracted by OCR.
4. Chose classic fonts
Optimize the recognition of your
titles using a larger font size than
the rest of the text.
When you select the "Title
Placement" option in the "self-
chapter" section, make sure that
all your tracks are located in the
same area on your slides .
Here, the title is framed in red.
5. Highlight the 5tle
6. Use the Mul5language op5on
UbiCast stations’OCR tools can analyze 8
To change the language you need to access the
« Advanced Parameters » from the home page.
You will see two flags in the bottom bar.
Click and you will be able to choose between the
3 languages supported by our machines
(German, English or French) and the 8 languages
recognized by the OCR (German, English , Arabic,
Spanish, French , Dutch, Italian and Suomi).
7. Give 5tles automa5cally with OCR
To use OCR in your UbiCast station, you have to
access the "Publication" menu, choose the video
you want to give titles automatically, then click on
the chaptering tool.
You land in the menu you see here , than you can
define a zone in which the machine will search for a
title on each slide (the green arrow here).
Then, if you choose the (T) button the software
automatically creates a title and a chapter from
this slide. Proceed to the next index and repeat the
To sum up…
Ensure the contrast between the
background and font
Use a plain background
Keep an eye on the resolution and
Chose classic fonts
Highlight the title
Give titles automatically with OCR
Use the Multilanguage option