ฝัง
- เผยแพร่เมื่อ 4 ก.ค. 2024
- In this tutorial we’re going to see how to use Tesseract to recognize text from an image.
Tesseract is the most popular OCR (Optical character recognition), it is open source and it is developed by google since 2006.
In this specific tutorial we will see:
1. How to install Tesseract on (Windows, Mac or Linux)
2. Read Text from an image
3. Tune tesseract to improve the text recognition
Instructions and source code: pysource.com/2020/04/23/text-...
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This is a really good tutorial. Thank you
Adaptive threshold is a great tip. Thanks!
Hi Sergio,
Thanks for the video! I've a question. Can you have something ideas to convert raster images in vector images (es. jpg to svg)?
Thank you for all your good tutorials! Could you make a video on natural scene text detection using opencv and EAST one day??
Very good introduction to ocr . thanks 😊
Tnx a lot. What would be the processing when u get dynamic images.
thanks for the tutorial
i have question please , can tesseract ocr detect handwriting
if so can you make another tutorial about that
thanks for the tut! Helped me a lot
It was very informative and helpful lesson. Thanks
Hi, thanks for the tutorial. But i was wondering how it will be if there's gonna be an upload photo feature. So we dont have to change the image filename to be used everytime. Is it possible?
One issue with the Chinese text is that the first two characters are in traditional Chinese and the second two characters are the simplified. So the first time you ran it and it gave you 汉语，汉语 was correct as it converted the traditional into simplified because you used chi_sim.
Great content!!
This is very helpful .
Tanks
really Great !!! and helpful.
if we train our model using cnn , will it increase accuracy?
if I wanna use it on live video which part that I should change for my code?
Thank for such a useful video.
I need help from you, can you convert captcha file to text. I'm trying, but not converting properly.
hello, im looking for a rcnn for this task, do u know a nice one for this task ?
Danke schön mein bruder
Do you have another way to use tesseract. I want to turn my programme into executable for people who want to download it, but to make it work they need this tesseract-ocr file. So i put it into the download file but the tesseract file is too heavy ! I dont want to make my programme at 1GO because of tesseract ! Please help :c
can you train pytesseract on handwriting data and return the string data ?
Can a multi-page PDF be OCRed this way?
Thank you for sharing,
I am wondering if OCR it's a heavy process to find digits on large images?
its simple, to get only digits in a large image,,
config = r'--oem 3 --psm 6 outputbase digits'
digitd = pytesseract.image_to_data(img, config)
when you print digits you get only digits
@@AI_CANISTER thanks but i already tested not work
Tesseract has been adding arrows to each each cell in my excel spreadsheets, anyone know why that might be? It recognizes every word and number correctly but adds some kind of ‘illegal” character code that is excel displays as arrows then boxes with a question mark inside
Hi - thanks for the excellent tutorial. This really helps a lot. While running your code on the image that I have extracted from my PDF document, instead of printing the text in the image file, it is spitting out some texts as below :
code :
image =cv2.imread("page-12.png")
cv2.waitKey(0)
Output :
-1
code :
text = pytesseract.image_to_string(image)
Print(text)
output :
DF Metadata Extraction with Python
file = PyPDr2
xnp = pdf_file.getimphetadatal
dict = 0
4 in mp methods
xnp_dict (i)
xnp_dict (i)
pp.pprint xmp dict)
anytestringobject if pyPDr2 is unable to decode the string (Fenniak, 2016b). Putting
these two methods together yields a custom function that can be used to extract document
information dictionary metadata from PDF files (sce
igure 9). The resulting
DocumentInformation object which generated by the custom get_doc_info()
function contains a dictionary with five key:value pairs (see Figure 10). This extracted data
‘matches the raw metadata located in the Document Information Dictionary abject located
at 208 0 obj inthe file (see Figure 3).
(© 2019 The SANS institute Author retains ful ight
Am I getting something wrong? Unfortunately I am unable to show you how the input looks.
Any help much appreciated.
Hi...I ran your code again and it is working. So you may ignore the above comment. The problem is my file has a dark background and so with the values that you have shown for adjusted threshold do not seem to be converting the background to white and the print(text) is still not showing the text embedded within the picture.
My picture file is PNG - will that require a different adjustment to your code and the threshold values?
Thanks - really appreciate
could you please help on how to implement for scanned and digital pdf?
Gracias amigo, me resolviste muchas dudas.
How can I make than the algoritm recognize Latex language? ---> pytesseract.image_to_string(img, lang = '?') . What have to use for the parameter "lang"?
thank you. how to get only title?
Is it work for handwritten data ??
Thanx alot!!!
Grazie 😊
Thank you for Your help, May God Bles You.
Will you tell how we can get this data in csv format
I love tour tuto, i'am trench, englich it's difficile. But i want learn python
Thanks
Wow very good, but the problem is "If the text is very clear and crisp its is showing output correctly", But I want to know if the image has multiple data not only text for example "bills, taken calendar photo or any kind of images", How to print the string from that, I tried my self it's not printing anything, Any idea for this?
it can detect digits since date is mostly in digits i think it will work well.
config = r'--oem 3 --psm 6 outputbase digits'
digitd = pytesseract.image_to_data(img, config)
when you print digits you get only digits
Hi can you do the same thing using reberry pi or Arduino.
How can we save the output in csv format please
Can we save to Csv format
How can we use this on google colab?
how we can read different font like it the image has italic font so how can we do that ?
I've tried the same method and it worked, I'm sure it will work for you too
NEED HELP! I am making a website where user can upload a pdf but I want that pdf to upload only if that pdf has images of only HANDWRITTEN text. Thank you for reading.
hey... im not able to print that chinese letters in my output... can asome one help me oue plz
How can we get this data into csv format
need some help.. it's wirte this line...
You need configured Python 2 SDK to render Epydoc docstrings
thanks a lot
is this possible for number plate recognition form this code ? and the language in bengal
It can't recognize number plate but it can extract the digits and alphabet after detecting the number plate with a different method
Make a video on how to build custom ocr
Isn't it possible to train Tesseract to improve the reading?
Please sir lang arbic text = pytesseract.image_to_string(adaptive_threshold, config=config, lang "arbic" )
ARB OR AR OR What ???
CAN IT WORK FOR 7 SEGMENT LED
this helped a lot but still there is a date value that it doesn't seem to get it I don't know why to be honest
I want to make a desktop application for this. how can I do it. Need help 🆘
For commercial projects/consulting services you can contact me here: pysource.com/services
I am gettng below error... Please help
raise TesseractError(proc.returncode, get_errors(error_string))
pytesseract.pytesseract.TesseractError: (1, 'Error opening data file C:\\Program Files\\Tesseract-OCR/tessdata/chi_sim.traineddata Please make sure the TESSDATA_PREFIX environment variable is set to your "tessdata" directory. Failed loading language \'chi_sim\' Tesseract couldn\'t load any languages! Could not initialize tesseract.')
can you please show digit recognition ;thank in advance
config = r'--oem 3 --psm 6 outputbase digits'
digitd = pytesseract.image_to_data(img, config)
when you print digits you get only digits
Do an ANPR mate
How to detect a text from a particular co-ordinate of an image?
First you need to cut that region. Check my youtube videos "Crop images" and you'll know hot to d that.
once you did cut the portion, you can parse that one to the OCR
Instructions and source code link is broken.
I've just fixed it, thanks for pointing that out
@@pysource-com Thanks for the work you've been putting out. Its really making a difference. God bless you, brother..
I installed tesseract and try to work in vscode.But when programming python from vscode, tesseract could not be imported into vscode.Can you tell me how to import tesseract to the vscode??
what is he using vscode or?
You didnt solve the text though after pre processing
For me, the image is not getting recognized.
same for me :(, i have tried different clear images and it's not working. Any tips?
cv2.imread("img.gif") is not working how can we read text from .gif file type please tell
it could be shorter
The Chinese words are traditional and not simplified. Change the language to chi_tra and it should work better