T-OCR Library
This is a Python library that contains methods for easy and fast OCR parsing with various tools. Used to read scanned PDF documents and images with text.
Key Features
File parsing is done in the AWS cloud, eliminating the need for additional dependencies on your machine.
Parsing of each page is done in parallel in AWS, resulting in a significantly faster parsing process.
Access to the T-OCR AWS part is required to use the library.
Combines the best OCR tools and provides a consistent interface, making it easy to use and switch between tools.
# Parsing with Tesseract (Free OCR) free_ocr = FreeOCR() pages = free_ocr.read_pdf("1.pdf") for page in pages: print(page.full_text)# Parsing with Textract textract = Textract() pages = textract.read_pdf("1.pdf") for page in pages: print(page.full_text)The package contains a large number of powerful methods that will help you save time and read parsed data faster and better.
# Get dates etc. from text date_matches = get_valid_dates("Text - February 17, 2009, text...") # 02/17/2009 # Compare the real text with what the OCR read does_strings_match_by_fuzzy("Apple", "Appla", percentage=0.8) # True does_text_contains_string_by_fuzzy("Apple", "Appla watch", percentage=0.8) # True text = "Long article about Appla watch" find_string_in_text_by_fuzzy("Apple", text, percentage=0.8) # 19Caching OCR results locally in t_ocr_cache folder is supported. Use this during development to avoid blocking parsing time.
pdf_file = "file.pdf" # First run free_ocr.read_pdf("1.pdf", cache_data=True) # Takes 15 seconds # Every next run free_ocr.read_pdf("1.pdf", cache_data=True) # Takes 0.01 seconds # If the state of the file or arguments changes, it will save the cache for this call too free_ocr.read_pdf("1.pdf", dpi=500, cache_data=True) # Takes 15 seconds free_ocr.read_pdf("1.pdf", dpi=500, cache_data=True) # Takes 0.01 seconds
Supported OCR Tools
1. Tesseract (Free OCR)
🆓 Free
✅ Read text
❌ Read tables, vertical field values
⬛ Simple form design preferred
2. AWS Textract
💸 Paid
✅ Read text
✅ Read tables, vertical field values
🌃 Flexible for different file designs
1 maintainer
Metadata
1 maintainer
Release files for t-ocr 1.5.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| t_ocr-1.5.6.tar.gz | 27.7 kB | Details |
Release files / t_ocr-1.5.6.tar.gz
| Download URL | t_ocr-1.5.6.tar.gz |
|---|---|
| Size | 27.7 kB |
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