<script type="application/ld+json">
{
 "@context": "https://schema.org",
 "@graph": [

   {
     "@type": "FAQPage",
     "mainEntity": [
       {
         "@type": "Question",
         "name": "What is Tesseract OCR and how does it work?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "Tesseract is an open-source OCR engine that extracts text from images or scanned PDFs. It works in several steps: detecting text regions, segmenting lines and words, then recognizing characters using trained models to produce machine readable text."
         }
       },
       {
         "@type": "Question",
         "name": "Is Tesseract still the best open source OCR in 2025?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "Tesseract remains one of the most widely used open source OCR engines in 2025 for standard printed documents. However, for complex layouts, tables or handwriting, other tools or modern AI based OCR solutions can deliver better performance."
         }
       },
       {
         "@type": "Question",
         "name": "What are the main advantages of Tesseract OCR?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "Tesseract is free, open source, multilingual, integrates with many programming languages and benefits from an active community. It offers good accuracy on clean printed documents and fits well into automated text extraction workflows."
         }
       },
       {
         "@type": "Question",
         "name": "What are the limitations of Tesseract OCR?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "Tesseract is highly dependent on image preprocessing, struggles with complex layouts or handwriting, requires technical skills for customization and does not understand the business context of the document."
         }
       },
       {
         "@type": "Question",
         "name": "Which open source alternatives exist in 2025?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "Several alternatives exist, including CuneiForm for old or non standard documents. Other specialized open source engines and AI based OCR solutions can provide better results for complex use cases."
         }
       },
       {
         "@type": "Question",
         "name": "Does Tesseract OCR require image preprocessing?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "Yes, result quality depends strongly on preprocessing. Blurry, dark or skewed images significantly reduce accuracy. Image cleanup is often essential before running Tesseract."
         }
       },
       {
         "@type": "Question",
         "name": "Can Tesseract OCR recognize handwriting?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "No. Tesseract is optimized for printed text and usually performs poorly on handwriting, unlike modern AI based OCR engines that are trained for handwritten content."
         }
       },
       {
         "@type": "Question",
         "name": "Is Tesseract good with tables and complex layouts?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "Tesseract has difficulties with tables, multi column layouts and complex documents. It does not detect the business structure of the content and often outputs unordered text without additional processing."
         }
       },
       {
         "@type": "Question",
         "name": "How do you install and configure Tesseract OCR in 2025?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "Installation depends on the operating system and typically uses package managers or official binaries on Windows, Linux and macOS. Extra configuration is often required for languages, preprocessing tools and integration with scripts or applications."
         }
       },
       {
         "@type": "Question",
         "name": "AI based OCR vs Tesseract: which should you choose in 2025?",
         "acceptedAnswer": {
           "@type": "Answer",
           "text": "For simple, standard documents Tesseract is often enough. For complex, high volume or handwriting heavy use cases, AI based OCR solutions are usually faster, more accurate and easier to operate at scale."
         }
       }
     ]
   },

   {
     "@type": "Review",
     "name": "Technical review: Pros and cons of Tesseract OCR in 2025",
     "reviewBody": "Comprehensive overview of the strengths and weaknesses of Tesseract OCR based on real world production usage and recent versions of the engine.",
     "author": {
       "@type": "Organization",
       "name": "Koncile"
     },
     "itemReviewed": {
       "@type": "SoftwareApplication",
       "name": "Tesseract OCR",
       "applicationCategory": "OCRSoftware",
       "operatingSystem": "Windows, macOS, Linux",
       "offers": {
         "@type": "Offer",
         "price": "0",
         "priceCurrency": "USD",
         "category": "free"
       },
       "aggregateRating": {
         "@type": "AggregateRating",
         "ratingValue": "4",
         "bestRating": "5",
         "ratingCount": "1"
       }
     },
     "reviewRating": {
       "@type": "Rating",
       "ratingValue": "4",
       "bestRating": "5"
     },
     "positiveNotes": {
       "@type": "ItemList",
       "itemListElement": [
         { "@type": "ListItem", "position": 1, "name": "Free and Open-Source" },
         { "@type": "ListItem", "position": 2, "name": "Multilingual Support" },
         { "@type": "ListItem", "position": 3, "name": "Good Accuracy" },
         { "@type": "ListItem", "position": 4, "name": "Easy Integration" },
         { "@type": "ListItem", "position": 5, "name": "Customization" },
         { "@type": "ListItem", "position": 6, "name": "Active Community" },
         { "@type": "ListItem", "position": 7, "name": "Flexible Formats" },
         { "@type": "ListItem", "position": 8, "name": "Mobile and Cloud Adaptability" },
         { "@type": "ListItem", "position": 9, "name": "Easy Automation" }
       ]
     },
     "negativeNotes": {
       "@type": "ItemList",
       "itemListElement": [
         { "@type": "ListItem", "position": 1, "name": "Preprocessing Dependency" },
         { "@type": "ListItem", "position": 2, "name": "Slow for Large Volumes" },
         { "@type": "ListItem", "position": 3, "name": "Complex Customization" },
         { "@type": "ListItem", "position": 4, "name": "Lack of Context Understanding" },
         { "@type": "ListItem", "position": 5, "name": "Works Only with Images" },
         { "@type": "ListItem", "position": 6, "name": "Custom Training is Difficult" },
         { "@type": "ListItem", "position": 7, "name": "Image Quality is Crucial" },
         { "@type": "ListItem", "position": 8, "name": "Handwriting Recognition Limitations" },
         { "@type": "ListItem", "position": 9, "name": "Complex User Interface" },
         { "@type": "ListItem", "position": 10, "name": "Language and Font Performance Fluctuations" },
         { "@type": "ListItem", "position": 11, "name": "Complex Layout Handling Issues" }
       ]
     }
   },

   {
     "@type": "HowTo",
     "name": "How to choose an open source OCR in 2025",
     "description": "Step by step guide to decide whether Tesseract or another open source OCR engine is the best fit for your use case.",
     "step": [
       {
         "@type": "HowToStep",
         "position": 1,
         "name": "Define the types of documents you process",
         "text": "Identify whether your documents are standard forms, scans with noise, complex tables or contain handwriting."
       },
       {
         "@type": "HowToStep",
         "position": 2,
         "name": "Test Tesseract on a sample set",
         "text": "Run Tesseract on a small but representative sample of documents to evaluate accuracy and stability."
       },
       {
         "@type": "HowToStep",
         "position": 3,
         "name": "Analyze scan and image quality",
         "text": "Check whether the level of preprocessing required is compatible with your time and volume constraints."
       },
       {
         "@type": "HowToStep",
         "position": 4,
         "name": "Compare the limits identified",
         "text": "If your documents are complex, Tesseract may require extra logic or tools to handle layout and structure."
       },
       {
         "@type": "HowToStep",
         "position": 5,
         "name": "Test an alternative open source OCR",
         "text": "Try other engines such as CuneiForm or AI based OCR frameworks on the same sample to compare the results."
       },
       {
         "@type": "HowToStep",
         "position": 6,
         "name": "Select the OCR that fits your needs",
         "text": "Choose the solution that offers the best balance between accuracy, speed, maintainability and total cost."
       }
     ]
   }

 ]
}
</script>

Is Tesseract still the best open-source OCR ?

Dernière mise à jour :

December 4, 2025

5 minutes

Among the many solutions available on the market, Tesseract is often cited as one of the best open source OCR software. But is it still the best solution in 2025? We'll analyze its performance, pros, cons, and open-source OCR alternatives.

Tesseract is a top open-source OCR, but is it still best in 2025? Let’s review its pros, cons, and alternatives.

Picture of Google Tesseract OCR 2025, with the question “Best open source software?”, document icons, a loupe and a computer displaying code.

OCR (Optical Character Recognition) enables the extraction of text from images or scanned documents, making data management and analysis easier.

To select the most suitable data extraction solution, it's crucial to assess the key features of the various tools available.

In this article, we will focus on Tesseract, exploring its strengths and limitations, and comparing it with alternative open-source solutions to help you choose the best OCR tool for your needs. What is Tesseract OCR?

What exactly is Tesseract OCR?

Tesseract OCR is an OCR engine capable of detecting and extracting text from images, transforming them into actionable digital content.

Originally developed in the 1980s by Hewlett-Packard, the project gained new momentum when it was taken over by Google, which now handles its development and maintenance.

This free open-source solution, offered under the Apache 2.0 license, is a valuable resource for developers and businesses seeking to maximize efficiency while keeping costs under control. Moreover, thanks to its open-source nature, Tesseract can be used, modified, and distributed freely, offering maximum flexibility. This openness also allows for continuous improvements, with numerous contributions from the global developer community regularly enhancing the software with new features and performance upgrades.

The advantages of Tesseract OCR

Let's now examine some of the key advantages that Tesseract offers for optical character recognition.

The disadvantages of Tesseract OCR

Tesseract has some limitations that should be considered when evaluating its performance for various tasks.

Existing open-source OCR alternatives

Tesseract remains one of the most popular and robust open-source OCR solutions in 2025, particularly for standard text extraction applications.

However, while it performs well for simple and common tasks, its limitations with complex layouts, handwritten text recognition, and reliance on image preprocessing may lead some users to explore other alternatives.

Some of these tools also support tasks like OCR document classification, which help automate document organization based on layout and content structure.

Among the open-source OCR solutions available, several stand out for their unique features and performance, which either complement or, in some cases, surpass Tesseract for specific applications.

For example, CuneiForm excels in recognizing text from old or non-standardized documents. Meanwhile, Mistral stands out for its ability to process complex structured documents, catering to more specialized needs.

Few open-source OCR tools offer a demo version accessible directly online, as most require downloading and configuration beforehand, which can be a barrier for users wanting to test the solution quickly. However, three tools distinguish themselves by offering online demo versions, allowing users to evaluate them without installation:

Existing open source OCR alternatives

New AI-based OCR software are bringing major advancements. With deep learning and computer vision, they better understand document structure and effectively recognize handwritten or printed text, even in complex conditions. Their integration of natural language processing allows them to extract information with precision.

They also stand out for their speed, adaptability, and automated pre- and post-processing features. For complex projects or large data volumes, these technologies offer a more efficient alternative.

This evolution is central to what we call intelligent document processing, where OCR is combined with contextual analysis and workflow automation.

Thus, while Tesseract remains a relevant choice for standard needs and limited budgets, AI-based solutions are ideal for higher demands. The choice will depend on the specific priorities and needs of each user.

To go further, check out our selection of the top 10 open source OCR models in 2025. You'll find tools that address a variety of needs and help you choose the most suitable solution for your projects.

FAQ

FAQ – Is Tesseract still the best open source OCR in 2025?
What is Tesseract OCR and how does it work?

Tesseract is an open-source OCR engine that extracts text from images or scanned PDFs. It processes documents through several steps: detecting text regions, segmenting lines and words, and recognizing characters using trained models, producing machine-readable text.

Is Tesseract still the best open-source OCR in 2025?

Tesseract remains a strong reference among open-source OCR engines in 2025, especially for clean printed text and simple layouts. However, for complex documents, tables, or handwriting, other open-source tools or modern AI-based OCR solutions can deliver better performance.

What are the main advantages of Tesseract OCR?

Tesseract is free, open source, widely documented, and supported by an active community. It supports many languages, integrates easily with Python and other programming languages, and provides good accuracy for standard printed documents.

What are the limitations of Tesseract in production?

Tesseract struggles with noisy images, low-quality scans, complex layouts, and nested tables. It lacks native understanding of document structure, often requires advanced image preprocessing, and is not suitable for modern handwriting recognition.

What are the open-source alternatives to Tesseract in 2025?

Several open-source tools complement or compete with Tesseract. CuneiForm is strong for old or irregular documents, while other engines specialize in structured layouts. AI-based OCR or Intelligent Document Processing tools offer improved accuracy for complex workflows.

When should you choose an AI-based OCR over Tesseract?

AI-based OCR is recommended for diverse document types, complex layouts, handwriting, or situations requiring precise structured data extraction. These solutions combine computer vision and natural language processing to understand context and automate workflows end-to-end.

Move to document automation

With Koncile, automate your extractions, reduce errors and optimize your productivity in a few clicks thanks to AI OCR.

Author and Co-Founder at Koncile
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.

Koncile is elected startup of the year by ADRA. The solution turns procurement documents into actionable data to detect savings, monitor at scale, and improve strategic decisions.

News

8/12/2025