Browse free open source OCR software and projects below. Use the toggles on the left to filter open source OCR software by OS, license, language, programming language, and project status.
Open Source OCR Engine
Quickly OCR part of the screen and save resulting text to clipboard
A Powerful Desktop Full-Text Search Engine, Just Like Local Google.
Scan documents to PDF and other file types, as simply as possible.
Screen capture, OCR and translation tool
Document Management System and Content Management System
Free subtitle editor
Alternative download for tesseract-ocr project
World's most comprehensive, powerful, process-based PDF editor
A GUI tool for extracting hard-coded subtitle (hardsub) from videos
A graphical frontend to tesseract-ocr
Ready-to-use OCR with 80+ supported languages
Open Source Document Management System for Digital Archives
OCRmyPDF adds an OCR text layer to scanned PDF files
An OCR translator tool made by utilizing tesseract & python-opencv
World's most comprehensive, powerful, process-based PDF editor
Awesome multilingual OCR toolkits based on PaddlePaddle
Free OCR Software: No internet required, easy to use.
A pure Javascript Multilingual OCR
Automatic license plate recognition library
Open source Optical Character Recognition (OCR) software is a type of application that can scan images and accurately recognize characters from them. This type of software allows users to easily extract text from scanned documents, such as business cards, photos or even handwritten papers. With OCR software, you can quickly convert printed documents into digital files for easy editing and sharing.
The advantages of open source OCR software are numerous. For starters, it is typically free to access, allowing anyone interested in the technology to utilize it without needing a license or expensive subscription-based services. Additionally, since the code running these applications is available to everyone, developers are able to actively collaborate on making improvements and bug fixes while keeping costs low; this makes open source offerings often faster at adapting and rolling out new features than their more traditional counterparts. Furthermore, because open source solutions are created by an active community of experts in the field, they tend to be well-maintained and up-to-date with the latest technologies; this ensures that any documents converted through such programs will remain accurate for longer periods of time.
That being said, there are some drawbacks when using open source OCR software compared to proprietary versions; namely, some may lack customer support due to not having a dedicated team working on developing their product nor providing updates internally. Also depending on the company powering an open source offering they may be slower at fixing issues than proprietary options given they lack direct access to enough resources needed for rapid reactions in case of problems occurring within their platforms.
Overall though utilizing an open source OCR solution offers many benefits: among them cost efficiency when compared with other paid solutions as well as high quality conversion results driven by a passionate global community continuously striving for excellence in image recognition technologies.
Open source OCR software is typically available at no cost. There are a variety of open source solutions, such as Tesseract, CuneiForm, and GOCR that can be downloaded for free. Typically, these programs require that the user install some additional libraries or components before use. These may be available for free from other sources or may have to be purchased separately.
Once installed, most of these programs offer basic text recognition capabilities but do not provide advanced features like form recognition or formatting options. For those looking for more robust solutions, there are commercial OCR applications available that come with a variety of options and support services. These usually require an upfront fee as well as ongoing subscription payments in order to access their full range of features.
Open source OCR software can be integrated with many types of software, including document management and workflow systems, accounting and financial applications, search engines, enterprise resource planning (ERP) software, customer relationship management (CRM) systems, artificial intelligence (AI) platforms, data analysis tools, document imaging solutions and translation services. Essentially any system that deals with large amounts of textual data immediately benefits from being able to take advantage of the OCR technology offered by open source solutions. By using an efficient OCR technology such as one found in an open source solution, users are able to go through a much more streamlined process when it comes to dealing with scanned images or documents containing text.
Using open source object-relational mapping (ORM) software is a great way for users to reduce the amount of time spent writing code and increase their productivity. Getting started with ORM can be quite straightforward and easy if users are familiar with working with databases.
The first step in using ORM is to select an appropriate ORM tool. Some popular options include Hibernate, JPA, LINQ to SQL, Entity Framework, and Spring Data JPA. Each of these tools has different features and capabilities so users should review each one carefully before making their selection.
Once a tool has been selected, users should then install the necessary components needed for running that particular type of ORM software. This typically includes database drivers as well as relevant frameworks such as Java or .NET framework libraries.
Next, users need to establish mappings between the database tables and corresponding object classes in their programming language of choice—often through annotations or XML configuration files depending on the platform used. Doing this will allow the ORM layer to map data from existing database tables into objects that can be more easily manipulated within your application code.
Finally, once all of these steps have been completed successfully, users should configure any remaining settings