Error processing base64image using java

hey .i m currently creating a app with free ocr as main api for my app.currently i m in test mode and playing with this api.one thing is annoying me.i m sending base64image(which is a requirement for my app).its giving me response for for only one image but when i m testing another .png image its throwing me this:

{“OCRExitCode”:3,“IsErroredOnProcessing”:true,“ErrorMessage”:[“Not a valid base64 image. The accepted base64 image format is ‘data:<content_type>;base64,<base64_image_content>’. Where ‘content_type’ like ‘image/png’ or ‘image/jpg’ or ‘application/pdf’ or any other supported type.”],“ErrorDetails”:“Not a valid base64 image. The accepted base64 image format is ‘data:<content_type>;base64,<base64_image_content>’. Where ‘content_type’ like ‘image/png’ or ‘image/jpg’ or ‘application/pdf’ or any other supported type.”,“ProcessingTimeInMilliseconds”:“468”}

there are following questions:
1.is this api’s using caching .because first image is succesfully parsing but its throwing above error in every second images. its returning parsed result in my first base64 .png image but throwing error in another .png images.looks like api is giving me cached data for only one image?
here my code:
BufferedImage i=ImageIO.read(new File(“C:\Users\Nikki singh\Downloads\resultCropped.png”));

    	  ByteArrayOutputStream os=new ByteArrayOutputStream();//will act as a container
	  
	  ImageIO.write(i,"png",os);//STORING IMAGE STREAM INTO BASE64 FORMAT and wraping into output stream
	  byte[] l=os.toByteArray();
	  URL u =new URL("https://api.ocr.space/parse/image");
	  HttpsURLConnection con = (HttpsURLConnection) u.openConnection();
      String im=Base64.getEncoder().withoutPadding().encodeToString(l);
      //add request header
      System.out.println(im);
      con.setRequestMethod("POST");
      con.setRequestProperty("User-Agent", "Mozilla/5.0");
      con.setRequestProperty("apikey","f30145498288957");
      con.setRequestProperty("Accept-Language", "en-US,en;q=0.5");
    
      
      JSONObject postDataParams = new JSONObject();
      
    
      postDataParams.put("detectOrientation", true);
      postDataParams.put("scale", true);
      postDataParams.put("base64Image","data:image/png;base64,"+im);       
      postDataParams.put("language", "eng");
      postDataParams.put("OCREngine", 2);
      postDataParams.put("filetype","PNG");
      con.setChunkedStreamingMode(im.length()+1000);
      StringBuilder result = new StringBuilder();
      boolean first = true;
     
      for(Entry<String,Object> e:postDataParams.entrySet()) {

      

          
          String key  =e.getKey();
          Object value=e.getValue();

         
             
          result.append("&");
          result.append(URLEncoder.encode(key, "UTF-8"));
          result.append("=");
          result.append(URLEncoder.encode(value.toString(), "UTF-8"));
          
      }

     
      con.setDoOutput(true);
     DataOutputStream wr = new DataOutputStream(con.getOutputStream());
     System.out.println("Utf-8:"+result.toString());
      wr.writeBytes(result.toString());
      wr.flush();
      wr.close();

      BufferedReader in = new BufferedReader(new InputStreamReader(con.getInputStream()));
      System.out.println("Send");
      String inputLine;
      StringBuilder response = new StringBuilder();

      while ((inputLine = in.readLine()) != null) {
          response.append(inputLine);
      }
      System.out.println("-----"+response);
      Gson g=new Gson();
      Result f=g.fromJson(response.toString(), Result.class);
      System.out.println(f.getParsedResult()[0].getParsedText().contains("Erangel"));
      in.close();

please help me out.

“OCRExitCode”:3,“IsErroredOnProcessing”:true,“ErrorMessage”:[“Not a valid base64 image.

If you test the connection with Postman, do you get the same result?

You probably know it, but just in case: Postman is a free Chrome app, see https://ocr.space/ocrapi#postman

If you see the problem even with Postman, a screenshot of the result could be helpful.

See also:

ok heres my postman for POST request :face_with_monocle:


both are difrrent images and giving me error as you can see in this screenshot below.
but image 2 is giving parsed result succesfull in my java post request but image 1 is giving same error in java app .whats the matter i m confused.do OCR.Space giving me cached response or am i doing wrong something.

It seems something is wrong with your base64 string. Is there maybe a wrong character or so at the end? Or linebreaks?

This is how it should look:

here’s my end point of base64image string screenshot below:


this image is giving me parsed successfully!!..
but this one below:

is throwing me OCRExitCode:3 blah blah blah error.now whats the diffrence between these two base64contents.

you can test your base64 strings here (convert base64 back to image): https://codebeautify.org/base64-to-image-converter

Do they both work ok?

1 Like

they ARE both okay.its creating image from base64 both images are perfect but why its not working in OCR:
heres one more surprise i wanna show you:
when parsing this image by adding “==” at the end with OCREngine2 its giving me error “OCRExitcode:3”
but while same image i m sending with OCREngine1 it giving me parsed successfull but empty text(no string of recognized text) why is that happening ?
below is my image:


i m very confused whats happening whit this api working but not working with ocrengine2.please help me?

Can you please attach this “problem base 64” file to your post? Then I will test it here.

this is my base64Image string…when testing with OCREngine1 by adding"==" at the end of string im getting parsed succesfull but when testing with OCRENGINE2 im getting empty text…but when i remove “==” from the end of the bas64image i m getting error ocrexitcode:3 whats the problem? i m literally confused.
here s my base64 image:
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

is any-ones there i m waiting for some help?

i m waiting for help from almost 3 days .please do help me ?

Hi, try my solution here;

Thanks,
Zabir.