Description of App
App for optical character recognition for printed materials. Created for Visually Impaired users. VoiceOver friendly.
Free or Paid
Apple Watch Support
Device(s) App Was Tested On
This app is completely accessible with VoiceOver.
In the new feature, Real-time Speech function is very usefull. if use this feature, three-finger left swipe two times, the setting is displayed.
Recognisable characters/languages: English, Simplified Chinese, Traditional Chinese, Japanese and Korean
1 people have recommended this app
I have used this app for about 20 minutes, and yes it does have some nice sounding features on paper that and you knew it would be mentioned sooner or later, that knfb reader doesn't have.
However, the reality of this app is that it is still very much a work in progress, and at the moment I haven't got it to work at all and am not convinced its worth the £22 in the UK app store.
The issue with this app like most of the other apps out there apart from prizmo and knfb reader is that the app doesn't offer any assistance with lining your picture up which is essential for a blind person to be able to OCR successfully with there phone.
The second issue is that the settings screen is very difficult to navigate when you 3 finger swipe to settings this is where we find more accessibility issues. You can't even flick through them all you have to touch around the screen to try and find things which can make getting to know the app and changing things awkward.
The other thing is that this app as far as I can tell has no way to allow you to export or save recognised text to other apps or just for future use. I also can't find a button to delete rubbish results or the text no text from the screen once you get a bad picture. also some of the settings are confusing and undocumented, for example there is a setting called navigation mode which has options called beep and realtime speech. When I first saw this I thought that was how you enabled realtime reading of text with your camera as a video feed. I only found out after pecking around the screen that the option to control this is actually under capture mode.
Having said all of the above features such as being able to touch your way round an image in blocks are an interesting concept, and also it would be good if there was a better option for real time reading of print than talking goggles which is next to useless.
Also this app does allow for the use of both cameras again an interesting feature. but over all in its current state I would say if your going to spend money on an app get knfb reader, though I will be keeping an eye on this app and I hope we can work with the developer to help improve this app.
The things You pointed out is very accurate.
I did not notice some issues you mentioned.
Actually, it does not export the data to other apps.
The recognized text after taken the photo is copied into the clipboard automatically, we can paste it in the text field on other apps.
I don't know this is the easy way or not.
By the way, there is another big issue.
How do you pronounce the name of this app?
In Japanese, it sounds like "I yawn bay".
I didn't know that text is automatically copied to the clipboard, and I think a setting should be added to control this, because people might not be very happy if they have text on the clipboard they want to keep and then suddenly it gets replaced with text that isn't even accurate.
I think the problem with this app is that it doesn't offer guidance for taking photos or realtime image recognition, but also for taking pictures I believe it just uses the ordinary ios camera api, at least the screen for taking the picture looks just like when you are using the ordinary ios camera app.
Its certainly not worth £22 in its current state, and needs a great deal of work doing on it before I would even consider comparing it to knfb reader which I think has set the gold standard for an accessible OCR app.
It feels like the design hasn't been that well thought through and has maybe even been rushed in the case of the settings screen, add to that the almost non existent documentation and I do begin to wonder if the developer has done any real testing with blind people.
I had a look at the other app the developer has put on the app store and I don't know how apple even let it in, because the description for it simply says VoiceOver, and as far as I can see it is some sort of accessible ccompass but it has no documentation and as far as I can tell just has an on off switch. the name doesn't even seem to read with VoiceOver well.
I like KNFB reader, Prizmo, TextGrabber, and Text Detective.
Real-Time OCR is more useful.
It's stress-free, no need to take a picture.
If you go to CSUN, there is a chance to see it.
CSUN 2015 Session Details
iYomube - Real-Time OCR for Street Signs with Mobile Devices
Find a developer, and give him a feedback!
I have some things to ask him for improving the app.
But, it's very hard to find him in the concrete jungle like Tokyo.
Be careful not to yawn.
I am not going to cesun so won't be able to attend the session. have you actually got this app to work at all? for realtime ocr I was trying to use it on my laptop screen with no results, even talking goggles usually gives me something. for a picture I was using a medicine box that knfb reader read fine. as to the other apps you mentioned I had no success with any of them knfb reader is the only one I have had brilliant results with. I guess maybe you would be better off emailing the developer. If you have managed to get this app to work, maybe you could do a podcast on it?
I use this app to check what is printed on a receipt, a lavel on the envelope, newspaper, and so on.
I move the iPhone above the printed material like when I use the Talking Goggles app on video camera mode.
In most case, it works well.
I like this kind of quick response.
About the quality of recognition, KNFB reader is the best!
Unfortunately, KNFB reader does not support any Asian language.
I&m curious about what he demonstrate in the CSUN.
iYomube version 1.4.1 released.
* Fixed VoiceOver related issues.
* fixed help comment.
Please check it!