Swift OCR post

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 [Linux hello world in Swift](writeup/linux_hello_world_in_swift.md)  
 [Running disk images in QEMU](writeup/running_disk_images_in_qemu.md)  
 [Mqueue IPC example](writeup/mqueue_ipc_example.md)  
+[Swift OCR example](writeup/swift_ocr_example.md)  
 
 ## Projects
 
diff --git a/md/writeup/swift_ocr_example.md b/md/writeup/swift_ocr_example.md
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+title:Swift OCR example
+keywords:swift,ocr,macos
+
+# Swift OCR example
+
+## Intro
+
+After getting new M1 whanted to try some fancy machine learning stuff that avaliable.
+Got inspired when seen new post on reddit about OCRImage tool realse. As
+it was written in Object-C https://www.turbozen.com/sourceCode/ocrImage/ ,so I
+decided that is good learning task to read the code and reimplement all in Swift.
+
+## OCR
+
+The whole working prototype can fit just in few lines of code. All you need to create
+is text recognition requester and handle that collect results. There is few example on 
+apple doc page.
+
+```siwft
+func recognizeImageUrl(_ url:URL, _ error: Error?) {
+        var pieces:[TextPiece] = []
+        var err:NSError?
+        
+        var textRequest = VNRecognizeTextRequest(completionHandler: recognizeTextHandler(request:error:))
+        
+        var handler = VNImageRequestHandler(url: url)
+        do {
+            try handler.perform([textRequest])
+        } catch {
+            print("Cannot perform request error:\(error)")
+        }
+    }
+    
+    func recognizeTextHandler(request: VNRequest, error: Error?) {
+        print("Start recognize handler")
+        guard let observations =
+                    request.results as? [VNRecognizedTextObservation] else {
+                return
+        }
+        
+        let recognizedStrings = observations.compactMap { observation in
+                // Return the string of the top VNRecognizedText instance.
+                return observation.topCandidates(1).first?.string
+            }
+        print("\(recognizedStrings)")
+    }
+```
+
+## Source code
+
+Example XCode project is located at http://git.main.lv/cgit.cgi/OCRImage.git/  
+clone it and launch with XCode
+```bash
+git clone http://git.main.lv/cgit.cgi/OCRImage.git/  
+```
+
+## Future developments
+
+Could be nice to add sorting text, and some option to import location of text to json file with coordinates.
+
+Drawing boxes around original image with detected text is next thing to add.
+
+And there is alot of things that could be added to make it full featured OCR software.
+
+
+
+## Links
+
+http://git.main.lv/cgit.cgi/OCRImage.git/  
+https://www.turbozen.com/sourceCode/ocrImage/  
+https://turbozen.com/sourceCode/ocrImage/ocrImage_src/  
+https://developer.apple.com/documentation/vision/recognizing_text_in_images  
+http://git.main.lv/cgit.cgi/OCRImage.git/tree/OCRImage/main.swift?h=main  
+
+
+
+