Module: DL_OCR

Performs text detection using a pre-trained deep learning model.

Name Type Range Description
Input value inImage Image Input image
Input value inRoi Rectangle2D* Limits the area where recognized characters are located
Input value inRoiAlignment CoordinateSystem2D*
Input value inModelId LocateTextModelId Identifier of a Read Characters model
Input value inCharHeight Integer 8 - Average height of characters in pixels
Input value inWidthScale Real 0.1 - 10.0 Scales image width by the given factor
Input value inOpenRadius Integer 0 - Additional filtering of smaller blobs before merging characters into groups
Input value inMinTextArea Integer 0 - Minimal character area to be considered as a candidate for a text part
Input value inMargin Integer -10 - 100 Additional padding around the found character to be added before merging characters into text
Output value outHeatmap Heatmap Raw heatmap returned by network. It may be useful for more complex analysis
Output value outTextRegions RegionArray Extracted characters regions after filtering
Output value outResults LocateTextResultArray
Output value outAlignedRoi Rectangle2D


For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.

Read more about pixel formats in Image documentation.


This tool locates oriented text on image. Without additional training, it is suitable for locating text:
  1. oriented with angle up to ± 90 degrees,
  2. if height between 60% and 140% of inCharHeight (in pixels)
  3. being latin letters (upper- or lower-case), digits or one of: !#$%&()*+,-./:;<=>?@[]^_`{|}~"'\€£¥¢.

This behavior can be configured with parameters described below.

The inRoi and inRoiAlignment inputs may be used to limit the analysed area, which, in most cases, leads to improved performance. Moreover, it may be used to adjust to text which is not horizontally oriented. The inCharHeight should be set to the average height of characters (specifically, capital letters) in the analysed area. E.g. if image contains 2 kind of characters: one being 24 pixels high and the second being 40 pixels high, inCharHeight should be set to 32, irrespective of number of characters of each kind.

In case of fonts with exceptionally wide symbols, inWidthScale may be used to reshape them to a more "typical" aspect ratio. The analysed area will be scaled by inWidthScale in the horizontal axis. It may improve quality of results.


inWidthScale = 1

inWidthScale = 1

The inMinTextArea parameter may be used to change minimum area of predicted text. Detected text with area below this limit will be discarded. By default, this parameter is set to 50.

The inOpenRadius helps disjoint merged words, by applying Open Morphological filter on heatmap. By default, it's set to 0. Example:

inOpenRadius = 0

inOpenRadius = 3

The inMargin parameter adds extra padding to outResults.Box. By default it's set to 4.

Too big inOpenRadius value on image with small text may cause issues with disappearing or wrong oriented boxes. Try to reduce this value if it happens. Example of too big inOpenRadius value:


  1. Reducing ROI may give a high performance boost.
  2. In case of characters having too much differing height, it is advised to separate the analysed area (e.g. with inRoi input) to smaller parts containing symbols with a more consistent height.
  3. Too big inOpenRadius value on image with small text may cause issues with disappearing or wrong oriented boxes. Try to reduce this value if it happens.


This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Not supported inImage pixel format in AvsFilter_DL_LocateText. Supported formats: 1xUInt8, 3xUInt8.

Complexity Level

This filter is available on Basic Complexity Level.

Disabled in Lite Edition

This filter is disabled in Lite Edition. It is available only in full, Aurora Vision Studio Professional version.