pytesseract
A Python wrapper for Google Tesseract (by madmaze)
Signalum
To explore creating an application that detects available connections at once from wifi and bluetooth (by bisohns)
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| pytesseract | Signalum | |
|---|---|---|
| 11 | - | |
| 5,513 | 58 | |
| - | - | |
| 7.6 | 0.0 | |
| 12 days ago | over 4 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytesseract
Posts with mentions or reviews of pytesseract.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-05.
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What's the BEST way to detect these letters on an image?
If you don't have it already: https://github.com/madmaze/pytesseract
- API Python pour récupérer ses données quotidiennes de compte Credit Mutuel ?
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pytesseract.pytesseract.TesseractError: (2, 'Usage: pytesseract [-l lang] input_file')
Yes, pytesseract is a wrapper script and all heavy lifting is done by Tesseract. See the README.
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....
As far as working with reading text from a image there are lots of different libraries for doing this sort of thing, but one of the biggest is probably pytesseract. It is extremely powerful for image to text, and reliably beats alphabet soup captchas.
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Extract Highlighted Text from a Book using Python
I'm going to use the Tesseract OCR engine and library, and its Python wrapper PyTesseract for text extraction. But there are numerous libraries out there to extract text from an image. In a real world application I would probably use cloud services from AWS, Google or Microsoft to handle this task.
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A bot that copies a 15 digit number from a picture and renames the picture by that number
There's Python Tesseract to do the OCR from python. I think this is not really a beginner's project. Not too much programming, but you need to be able to install the required libraries and glue everything together. If you don't know how to do that maybe start with something simpler.
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text recognition code
From what I have heard, tesseract is the best python module for OCR
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exporting handwritten dataset as text, export it and use it as a csv
Yeah, I’m pretty sure the Remarkable OCR is not up to these kinds of tasks unfortunately. If you know some coding you could write something that’d likely work well in Python using for ex. this for receiving the mail attachment and this for converting the PDF to CSV. This is in case you’d write your data as a table on the Remarkable, which I guess is preferable to writing something like (0.5, 8.4, -0.3). If you’d rather do it that way, there are other more suitable OCR tools like this one. The checkbox use-case in the comment above would also be possible by modifying this approach. DM if you’d like to discuss further work.
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Top 5 Python libraries for Computer vision
pytesseract - Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine. It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff, and others. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file.
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Using Google's OCR API with Puppeteer for Visual Testing
There are multiple open-source OCR tools like pytesseract or EasyOCR, which can be used to integrate OCR functionality into a program. However, these tools require significant configurations to get up and running to provide results with an acceptable accuracy level.
Signalum
Posts with mentions or reviews of Signalum.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning Signalum yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing pytesseract and Signalum you can also consider the following projects:
pyocr
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
normcap - OCR powered screen-capture tool to capture information instead of images
tesserocr - A Python wrapper for the tesseract-ocr API
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Camelot - A Python library to extract tabular data from PDFs
Paperless - Scan, index, and archive all of your paper documents
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched