Python OCR libraries

share link

by vigneshchennai74 dot icon Updated: Jun 26, 2023

technology logo
technology logo

Guide Kit Guide Kit  

A Python OCR library provides functionalities for optical character recognition. It allows developers to process various types of data. It can extract text from scanned documents, images, and handwritten or printed text. With OCR functionality, it becomes possible to convert physical documents into digital formats.  

 

These libraries offer various features, including text recognition, image recognition, and PDF conversion. They use ML models to detect and extract text from different sources. It can be if it's a single text line, a text block, or a full page of printed text.  

 

The OCR engines integrated within these libraries contribute to their high accuracy. It supports many languages and scripts. When working with this library, selecting based on the specific use case is essential. Testing the library with documents before applying it to scenarios is advisable. This ensures familiarity with the library's capabilities. It helps fine-tune the OCR process for optimal results.  

 

Utilizing optical character recognition software can enhance the accuracy of OCR scans. Training ML models can improve accuracy in the recognition of annotated data. It is specific to the language or domain in question. You can improve OCR results by employing binarization and image preprocessing. It helps deal with noisy or inconsistent inking.  

 

Developers can process and extract text from various data sources using the OCR library. It offers text and picture acknowledgment, PDF transformation, and multilingual help. Developers can produce accurate and efficient OCR projects. You can select the appropriate library, practice, and use extra techniques. 

 

In OCR projects, there are many features. It supports various file formats and extensive language and script. It supports making them useful assets. Developers can unlock optical character recognition's potential. They can drive document digitization, web scraping, and data extraction innovation. They can use these libraries and follow best practices.  

tesseract:  

  • Offers training capabilities to improve OCR accuracy for specific use cases.  
  • Supports various output formats, including plain text, OCR, and PDF.  
  • Has a large and active community contributing to its development and improvement.  

tesseractby tesseract-ocr

C++ doticonstar image 51536 doticonVersion:5.3.1doticon
License: Permissive (Apache-2.0)

Tesseract Open Source OCR Engine (main repository)

Support
    Quality
      Security
        License
          Reuse

            tesseractby tesseract-ocr

            C++ doticon star image 51536 doticonVersion:5.3.1doticon License: Permissive (Apache-2.0)

            Tesseract Open Source OCR Engine (main repository)
            Support
              Quality
                Security
                  License
                    Reuse

                      pytesseract:  

                      • Provides language detection functionality to identify the language of the text.  
                      • Supports custom configuration options for optimizing OCR results.  
                      • It can be integrated with popular Python frameworks like Flask and Django.  

                      pytesseractby madmaze

                      Python doticonstar image 4884 doticonVersion:v0.3.10doticon
                      License: Permissive (Apache-2.0)

                      A Python wrapper for Google Tesseract

                      Support
                        Quality
                          Security
                            License
                              Reuse

                                pytesseractby madmaze

                                Python doticon star image 4884 doticonVersion:v0.3.10doticon License: Permissive (Apache-2.0)

                                A Python wrapper for Google Tesseract
                                Support
                                  Quality
                                    Security
                                      License
                                        Reuse

                                          Ocropy:  

                                          • Offers advanced text line extraction algorithms for precise recognition of text lines.  
                                          • Supports automatic skew correction for images with tilted text.  
                                          • Provides utilities for binarization, layout analysis, and line segmentation. 

                                          ocropyby ocropus

                                          Jupyter Notebook doticonstar image 3301 doticonVersion:v1.3.3doticon
                                          License: Permissive (Apache-2.0)

                                          Python-based tools for document analysis and OCR

                                          Support
                                            Quality
                                              Security
                                                License
                                                  Reuse

                                                    ocropyby ocropus

                                                    Jupyter Notebook doticon star image 3301 doticonVersion:v1.3.3doticon License: Permissive (Apache-2.0)

                                                    Python-based tools for document analysis and OCR
                                                    Support
                                                      Quality
                                                        Security
                                                          License
                                                            Reuse

                                                              ocropus3:  

                                                              • Features a comprehensive command-line interface for OCR workflows and experimentation.  
                                                              • Supports the recognition of many writing systems and script languages.  
                                                              • Includes tools for adaptive recognition models and classifier training. 

                                                              ocropus3by NVlabs

                                                              Shell doticonstar image 135 doticonVersion:Currentdoticon
                                                              no licences License: No License (null)

                                                              Repository collecting all the submodules for the new PyTorch-based OCR System.

                                                              Support
                                                                Quality
                                                                  Security
                                                                    License
                                                                      Reuse

                                                                        ocropus3by NVlabs

                                                                        Shell doticon star image 135 doticonVersion:Currentdoticonno licences License: No License

                                                                        Repository collecting all the submodules for the new PyTorch-based OCR System.
                                                                        Support
                                                                          Quality
                                                                            Security
                                                                              License
                                                                                Reuse

                                                                                  kraken:  

                                                                                  • Specializes in recognizing text from historical and degraded documents.  
                                                                                  • Offers extensive options for layout analysis, including text regions and line extraction.  
                                                                                  • Provides advanced error modeling for improved accuracy in challenging scenarios.  

                                                                                  krakenby uber

                                                                                  Go doticonstar image 5425 doticonVersion:v0.1.4doticon
                                                                                  License: Permissive (Apache-2.0)

                                                                                  P2P Docker registry capable of distributing TBs of data in seconds

                                                                                  Support
                                                                                    Quality
                                                                                      Security
                                                                                        License
                                                                                          Reuse

                                                                                            krakenby uber

                                                                                            Go doticon star image 5425 doticonVersion:v0.1.4doticon License: Permissive (Apache-2.0)

                                                                                            P2P Docker registry capable of distributing TBs of data in seconds
                                                                                            Support
                                                                                              Quality
                                                                                                Security
                                                                                                  License
                                                                                                    Reuse

                                                                                                      EasyOCR:  

                                                                                                      • Boasts a lightweight footprint and fast execution speed for efficient text extraction.  
                                                                                                      • Supports parallel processing to accelerate OCR tasks on multi-core systems.  
                                                                                                      • Offers pre-trained models for general text extraction and specific domains like license plates.  

                                                                                                      EasyOCRby JaidedAI

                                                                                                      Python doticonstar image 18347 doticonVersion:v1.7.0doticon
                                                                                                      License: Permissive (Apache-2.0)

                                                                                                      Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

                                                                                                      Support
                                                                                                        Quality
                                                                                                          Security
                                                                                                            License
                                                                                                              Reuse

                                                                                                                EasyOCRby JaidedAI

                                                                                                                Python doticon star image 18347 doticonVersion:v1.7.0doticon License: Permissive (Apache-2.0)

                                                                                                                Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
                                                                                                                Support
                                                                                                                  Quality
                                                                                                                    Security
                                                                                                                      License
                                                                                                                        Reuse

                                                                                                                          pytextractor  

                                                                                                                          • Includes intelligent algorithms for automatic field extraction from documents.  
                                                                                                                          • Supports common document formats like PDF, Word, and Excel.  
                                                                                                                          • Enables customizable extraction rules for extracting specific data patterns.  

                                                                                                                          pytextractorby danwald

                                                                                                                          Python doticonstar image 35 doticonVersion:Currentdoticon
                                                                                                                          License: Permissive (MIT)

                                                                                                                          python ocr using tesseract/ with EAST opencv detector

                                                                                                                          Support
                                                                                                                            Quality
                                                                                                                              Security
                                                                                                                                License
                                                                                                                                  Reuse

                                                                                                                                    pytextractorby danwald

                                                                                                                                    Python doticon star image 35 doticonVersion:Currentdoticon License: Permissive (MIT)

                                                                                                                                    python ocr using tesseract/ with EAST opencv detector
                                                                                                                                    Support
                                                                                                                                      Quality
                                                                                                                                        Security
                                                                                                                                          License
                                                                                                                                            Reuse

                                                                                                                                              FAQ 

                                                                                                                                              1. What is Leptonica, and how does it relate to Python OCR libraries?  

                                                                                                                                              Leptonica is an imaging library. It is used with Python OCR libraries for image processing and manipulation tasks.  

                                                                                                                                               

                                                                                                                                              2. What is a based OCR engine, and how can it be used with Python applications?  

                                                                                                                                              A base OCR engine is a core component used by Python applications. It helps perform optical character recognition tasks. It enables them to extract text from images or documents.  

                                                                                                                                               

                                                                                                                                              3. How does Google's Tesseract-OCR engine compare to other Python OCR libraries?  

                                                                                                                                              Google's Tesseract-OCR engine is regarded among Python OCR libraries. It is because of its accuracy and extensive language support.  

                                                                                                                                               

                                                                                                                                              4. Are there any limitations when recognizing text using a Python OCR library?  

                                                                                                                                              Python OCR libraries offer powerful text recognition capabilities. They have limitations when dealing with noisy documents, inconsistent inking, or unknown fonts.  

                                                                                                                                               

                                                                                                                                              5. How can scanned documents be processed using a Python OCR library?  

                                                                                                                                              With a Python OCR library, scanned documents can be processed. It can be done by extracting and converting the text content from the images. It enables text searchability and analysis. 

                                                                                                                                              See similar Kits and Libraries