10 Open Source OCR Tools You Should Know About

Last update:

April 22, 2025

5 minutes

Discover the 10 best open source OCR software in 2025. These tools offer a flexible and accessible solution for converting printed text into digital data. Whether it's for simple tasks or more complex needs, explore options like Tesseract, EasyOCR, or Kraken to find the one that fits your needs.

Explore 2025’s top 10 open-source OCR tools like Tesseract or EasyOCR to convert printed text into digital data for all use cases.

Image with the list of the 10 best open-source OCR tools with logos.

OCR technology (Optical Character Recognition) plays a crucial role in transforming printed or handwritten texts into digital data, supporting sectors such as finance, healthare, and logistics.

More and more users are opting for open-source OCR software, attracted by their cost-effectiveness and flexibility. Backed by an active community, these tools benefit from regular updates and improvements.

However, while they offer many advantages, they can have compatibility issues, variable quality, require advanced technical setup, and sometimes offer fewer features than commercial OCR solutions.

Keep reading to discover our list of the top 10 open-source OCR tools to consider in 2025.

1- Tesseract

Tesseract is a powerful open-source OCR, maintained by Google, compatible with Linux, Windows, and OS X. It supports numerous languages, with the ability to add additional extensions. While it is flexible, its use can be complex for beginners, requiring coding knowledge and setup. Once mastered, it provides accurate results and is highly versatile.

Advantages Disadvantages
Highly configurable Can be complex to configure, requires technical skills.
Multilingual support for over 100 languages Less efficient on handwritten or highly distorted documents.
Widely used and well-documented with a large support community Longer processing time for complex documents or large volumes.

2- EasyOCR

EasyOCR is appreciated for its ease of integration and good performance, especially with medium-quality images. It supports over 80 languages and integrates easily into Python projects. Although it is less efficient than Tesseract for complex cases, its execution speed and ease of use make it an ideal choice for simpler needs.

Advantages Disadvantages
Good performance on blurry or medium-quality images Lacks advanced customization compared to Tesseract.
Easy integration with Python Less efficient for very complex documents.

3- Mistral

Mistral is a powerful and fast OCR, known for its ability to handle a wide range of image formats. It is particularly valued for its high recognition accuracy, whether for simple documents or complex layouts.

Advantages Disadvantages
Optimized for speed Less suited for heavily stylized or unstructured documents.
Good recognition on non-standard documents Formatting inconsistencies in some extractions.
Supports many languages, ideal for multilingual documents May misclassify certain PDFs as images.

4- OCRopus

OCRopus is a modular solution that offers customization and flexibility to meet the specific needs of each project. It is particularly notable for its ability to process historical and handwritten documents, thanks to its adaptable structure. This makes it especially well-suited for advanced users with specialized requirements in text processing.

Advantages Disadvantages
Ability to add new modules Difficult to configure.
Support for historical documents Less accessible for beginner users.

5- Doctr

Doctr is a modern OCR tool focused on recognizing structured documents, such as forms or scanned files. Built on deep learning models, it performs well with documents featuring diverse layouts. It excels in recognizing well-structured text and offers a good level of flexibility, though it may have limitations when dealing with more complex documents.

Advantages Disadvantages
Uses deep learning models Documentation can sometimes be insufficient.
Excellent accuracy on well-structured documents Limited for complex documents.

6- Kraken

Kraken is a sophisticated OCR engine that excels in recognizing old or historical documents. It is particularly well-suited for text recognition in complex formats, with remarkable accuracy in this area. While it may not be as widely known as other options, Kraken is an excellent choice for projects requiring precise and detailed processing of hard-to-read documents.

Advantages Disadvantages
Excellent recognition for historical documents Slower than other OCRs for large volumes.
Good customization capabilities Lacks a GUI or simple integration tools, making it less accessible for non-technical users.

7- Surya OCR

Surya OCR stands out for its ability to handle complex documents, particularly those containing tables or mathematical elements. While its accuracy is high, its processing speed can be a drawback when dealing with large volumes of data.

Advantages Disadvantages
Suitable for complex documents, very good symbol detection accuracy (currencies, negative numbers, etc.) Relatively slow processing due to the complexity of the algorithms used
Can process low-quality images Limited documentation and difficulty finding online technical support

8- CuneiForm

CuneiForm is an open-source OCR that, while not as powerful as other major solutions, remains useful for basic OCR tasks. This OCR engine is particularly suited for users seeking a straightforward solution without the need for advanced features. It supports multiple image formats and is easy to deploy.

Advantages Disadvantages
Easy to use with no technical skills required, and very fast for simple tasks. Less reliable accuracy on complex documents.
Supports numerous file formats. Outdated user interface, no active updates.

9- OCRmyPDF

OCRmyPDF is an ideal tool for automating OCR on PDF files, especially when you have a large volume of scanned documents to process. While it is limited to PDF use, it is highly effective for mass scanning tasks.

Advantages Disadvantages
Convenient for automating OCR on PDFs Limited to PDF files only
Easy integration with scripts and document processing tools Slow processing for large documents

10- OCR Space

OCR Space is a fast and efficient online OCR tool, perfect for users who don’t want to install software. However, due to its online nature, it may raise data privacy concerns, and its performance is generally lower compared to local solutions.

Advantages Disadvantages
Easy access without installation Limited to online services, privacy concerns
Effective recognition even on medium-quality images Less efficient for complex documents

We have reached the end of our ranking of the top 10 open-source OCR solutions for 2025.

Each of these options addresses specific needs and offers unique advantages depending on the user's profile. Tesseract, with its great flexibility, is perfect for advanced users, while EasyOCR shines with its simplicity and efficiency for quick tasks. For historical or handwritten documents, Kraken and OCRopus are essential choices. If your work focuses on PDFs, OCRmyPDF is the specialized tool you need.

In 2025, these open-source solutions continue to improve and present compelling alternatives to commercial software while remaining accessible to everyone.

Tristan Thommen

Co-founder at Koncile – Turn any document into structured data with LLMs – tristan@koncile.ai

Tristan Thommen designs and deploys the core technologies that transform unstructured documents into actionable data. He combines AI, OCR, and business logic to make life easier for operational teams.