Print2CAD AI Phenomenon 23.44 Free Download

Print2CAD AI Phenomenon Free Download

Print2CAD AI Phenomenon converts all PDF vectors, PDF raster images (vectorization), native and non-native PDF text (OCR).

  • Print2CAD AI Phenomenon recognizes circles, arcs, right corners, rectangles, frames, crosses, small symbols.
  • Print2CAD AI Phenomenon converts or recognize layers, linetypes and line weights.
  • That’s The Power Of Artificial Intelligence PDF to dWG/DXF Conversion

Features of Print2CAD AI Phenomenon Full Download

Prefect PDF to DWG/DXF conversion
Print2CAD AI Phenomenon converts all PDF elements into full editable CAD elements. All PDF lines, polylines, splines, texts, circles, arcs, layers will be converted into native DWG/DXF entities.
Print2CAD AI Phenomenon vectorizes all PDF raster pictures as DWG/DXF vectors or solids using “Center Line Tracing”, “Outline Tracing” or “Solidization” as vectorization methods.
Print2CAD AI Phenomenon uses Artificial Intelligence (AI) Methods for H/V line recognition, right corner recognition, solid walls recognition, symbol recognition and OCR of text.
Print2CAD AI Phenomenon applies Optical Character Recognition (OCR) to all kind of text (line, hatch or raster) and with all inclination angles.

Print2CAD AI Phenomenon Full

AI PDF Raster 2 Vector and OCR of Text
Print2CAD AI Phenomenon offers vectorization of PDF raster pictures as DWG vectors or solids using special vectorization and contourization methods.
Raster image preprozessor with filling of small holes and connection of broken pixel traces corrects automatic raster pictures before vectorization and OCR of Text.
Alternative vectorization as center line, outline or solid. Separation of parts of a raster picture (homogenization) and applying of appropriate raster to vector method on separated pictures.

AI OCR of PDF Non-Native Inclinated Text
Print2CAD AI Phenomenon recognizes horizontal, vertical and free inclinated text using Artificial Intelligence OCR (Optical Character Recognition) methods
Print2CAD AI Phenomenon applies different OCR methods to text, numbers, abbreviations and symbols.
Recognized text can be corrected in Print2CAD Post-Processor DeepView using special editing

AI PDF Raster 2 Vector Solid Walls Recognition
Print2CAD AI Phenomenon offers suitable Raster 2 Vector Method for Solid Walls in scanned PDF files
Special Artificial Method recognizes Walls and all Wall Right corners.
The recognized Walls are place on separate Layer.

AI PDF Raster 2 Vector Curves Recognition
Print2CAD AI Phenomenon offers Center Line Tracing of Curves as Bezier, Spline or Polylines with Bulges (Arcs)
The number of smoothing iterations can be free adapted.
Depends from the scan content the recognition can be restricted to lines, circles and arcs what is very beneficial for vectorization of construction drawings.

AI PDF Raster 2 Vector H/V Line Recognition
Print2CAD AI Phenomenon recognizes all horizontal, vertical and 45 degree lines
If the scan slightly deviate from horizontal/vertical orientation correction angle can be defined.
Depends from the scan content the recognition can be restricted to only long pixel traces what is also very beneficial for vectorization of construction drawings.

AI PDF Raster 2 Vector Circle and Arc Recognition
Print2CAD AI Phenomenon offers vectorization of PDF raster pictures as DWG vectors or solids using special vectorization and contourization methods.
Raster image preprozessor with filling of small holes and connection of broken pixel traces corrects automatic raster pictures before vectorization and OCR of Text. Alternative vectorization as center line, outline or solid. Separation of parts of a raster picture (homogenization) and applying of appropriate raster to vector method on separated pictures.

Title: Print2CAD AI Phenomenon 23.44
Developer: Home Page
License: Shareware
Language: English
OS: Windows
– Official website does not supply any information about changes in this version

Download Print2CAD AI Phenomenon for PC

Print2CAD AI Phenomenon 23.44 | 64 bit | File Size: 126 MB
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This post was recently updated on September 27, 2022