Software Alternatives, Accelerators & Startups

Tesseract VS Nanonets

Compare Tesseract VS Nanonets and see what are their differences

Tesseract logo Tesseract

Tesseract is an optical character recognition engine for various operating systems

Nanonets logo Nanonets

Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
  • Tesseract Landing page
    Landing page //
    2023-09-21
  • Nanonets Landing page
    Landing page //
    2023-10-23

NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model

Tesseract

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Nanonets

$ Details
freemium
Platforms
Browser REST API Docker Cross Platform Python JavaScript Java PHP Go C++
Release Date
2017 January

Tesseract features and specs

  • Open Source
    Tesseract is free and open-source, allowing developers to use, modify, and distribute the code without any cost. This makes it accessible for individual projects and startup companies.
  • Multiple Language Support
    Tesseract supports a wide range of languages, including those with complex scripts. This makes it versatile for applications in different linguistic contexts.
  • Active Community
    The project has an active community and is well-maintained on GitHub, which means regular updates, bug fixes, and community support are available.
  • High Accuracy
    When properly configured and used with high-quality images, Tesseract can provide highly accurate OCR results.
  • Extensible
    Tesseract can be integrated with other tools and frameworks, such as image pre-processing libraries, to enhance its functionality and improve OCR results.

Possible disadvantages of Tesseract

  • Complex Setup
    Setting up Tesseract can be complex for beginners. It may require additional dependencies and configuration to perform optimally.
  • Performance
    Tesseract is not the fastest OCR engine available. For applications requiring real-time processing, its performance may be a bottleneck.
  • Image Quality Dependency
    Tesseract's accuracy heavily depends on the quality of the input image. Low-quality images or those with significant noise can lead to poor OCR results.
  • Limited Handwriting Recognition
    Tesseract primarily excels at printed text recognition and offers limited capabilities for handwritten text.
  • Resource Intensive
    Running Tesseract requires significant computational resources, which might be a limitation for mobile or low-power devices.

Nanonets features and specs

  • Ease of Use
    Nanonets offers a user-friendly interface that makes it accessible for users without extensive technical knowledge, allowing easy setup and deployment of AI models.
  • Versatility
    The platform supports a wide range of use cases, including document extraction, image recognition, and OCR (Optical Character Recognition), making it adaptable to various business needs.
  • Automation
    Nanonets offers automation features that help streamline workflows, reducing manual effort and increasing efficiency for repetitive tasks.
  • Scalability
    Nanonets can handle large volumes of data and scale up as business requirements grow, ensuring consistent performance and reliability.
  • Integration Capabilities
    The platform can integrate with numerous third-party applications through APIs, enhancing its functionality and compatibility with existing business systems.

Possible disadvantages of Nanonets

  • Cost
    While providing valuable features, Nanonets can be expensive for small businesses or startups with limited budgets, potentially making it less accessible for these users.
  • Customization Limitations
    Despite its versatility, some advanced users may find the customization options lacking, especially for highly specialized or niche applications.
  • Learning Curve
    Although the interface is user-friendly, some users may still experience a learning curve when utilizing more advanced features and integrations.
  • Data Privacy Concerns
    As with any cloud-based platform, there may be concerns about data privacy and security, especially when dealing with sensitive or confidential information.
  • Dependency on Internet Connectivity
    Nanonets is a cloud-based service, which means that a stable internet connection is required for optimal performance. Any disruptions in connectivity can hinder productivity.

Analysis of Tesseract

Overall verdict

  • Yes, Tesseract is generally considered to be a good choice for OCR tasks due to its robustness, flexibility, and the fact that it is free and open-source.

Why this product is good

  • Tesseract is an open-source Optical Character Recognition (OCR) engine that is highly regarded for its accuracy, multilingual support, and active community. It can be used to extract text from images, which is useful in a variety of applications, such as digitizing documents, number plate recognition, and more. The project is continually being improved, with regular updates and a wide array of tools and libraries that integrate well with other software.

Recommended for

    Tesseract is recommended for developers and organizations looking for a reliable OCR engine to embed in their applications or workflows. It is suitable for projects that require text extraction from scanned documents, images, or PDFs and is especially beneficial for those who prefer open-source solutions.

Analysis of Nanonets

Overall verdict

  • Overall, Nanonets is a reliable and efficient tool for businesses seeking to improve their document processing capabilities through automation. Its user-friendly interface, accuracy, and customizable features make it a strong contender in the OCR and document automation market.

Why this product is good

  • Nanonets is considered good because it offers advanced AI-driven OCR (Optical Character Recognition) and document automation solutions. It provides an easy-to-use platform that can handle complex workflows and data extraction with high accuracy. The platform supports various document types and integrates seamlessly with popular applications, making it versatile and convenient for businesses looking to automate their document management processes. Additionally, it offers customization options to tailor the solution to specific business needs, along with competitive pricing and strong customer support.

Recommended for

    Nanonets is particularly recommended for businesses of all sizes that deal with large volumes of documents and require efficient data extraction and automation. Industries like finance, healthcare, logistics, and retail, which often handle invoices, forms, and contracts, can benefit significantly. It's also suitable for developers looking for an API solution to integrate OCR capabilities into their own applications.

Tesseract videos

Tesseract – Sonder | Album Review | Rocked

More videos:

  • Review - TesseracT - POLARIS Album Review

Nanonets videos

Nanonets Airtable Walkthrough

Category Popularity

0-100% (relative to Tesseract and Nanonets)
OCR
56 56%
44% 44
AI
0 0%
100% 100
Image Recognition
100 100%
0% 0
Data Extraction
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Tesseract and Nanonets

Tesseract Reviews

7 Best OCR Software of 2022 (Free and PAID)
Tesseract is the best free OCR converter for various operating systems. It is free software released under the Apache License. Tesseract is considered one of the most accurate OCR engines currently available.
The best alternatives to Abbyy FineReader
Top five alternatives to Abbyy FineReader PDF1. Klippa DocHorizonPros of Klippa DocHorizonConsKlippa DocHorizon is used in industries such asKlippa DocHorizon offers you data extraction for multiple file types such asPricing2. VeryfiPros of VeryfiConsVeryfi is used in industries such asVeryfi’s OCR software offers data extraction for multiple file types such asPricing3....
Source: www.klippa.com

Nanonets Reviews

7 Best OCR Software of 2022 (Free and PAID)
Nanonets use artificial intelligence to extract data from documents without any human intervention. It is designed to be easy to use and accurate and can handle a variety of different languages.
The best alternatives to Abbyy FineReader
Top five alternatives to Abbyy FineReader PDF1. Klippa DocHorizonPros of Klippa DocHorizonConsKlippa DocHorizon is used in industries such asKlippa DocHorizon offers you data extraction for multiple file types such asPricing2. VeryfiPros of VeryfiConsVeryfi is used in industries such asVeryfi’s OCR software offers data extraction for multiple file types such asPricing3....
Source: www.klippa.com

Social recommendations and mentions

Based on our record, Tesseract seems to be a lot more popular than Nanonets. While we know about 79 links to Tesseract, we've tracked only 6 mentions of Nanonets. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Tesseract mentions (79)

  • Mistral OCR
    Https://www.home-assistant.io/integrations/seven_segments/ https://www.unix-ag.uni-kl.de/~auerswal/ssocr/ https://github.com/tesseract-ocr/tesseract https://www.google.com/search?q=home+assistant+ocr+integration https://www.google.com/search?q=esphome+ocr+sensor https://hackaday.com/2021/02/07/an-esp-will-read-your-meter-for-you/ ...start digging around and you'll likely find something. HA has integrations which... - Source: Hacker News / 3 months ago
  • OCR4all
    „OCR4all combines various open-source solutions to provide a fully automated workflow for automatic text recognition of historical printed (OCR) and handwritten (HTR) material.“ It seems to be based on OCR-D, which itself is based on - https://github.com/tesseract-ocr/tesseract - https://github.com/ocropus-archive/DUP-ocropy See - https://ocr-d.de/en/models. - Source: Hacker News / 4 months ago
  • OCR Solutions Uncovered: How to Choose the Best for Different Use Cases
    Custom Integration: Developers and businesses needing flexibility for custom integration into applications and projects should consider open-source solutions like Tesseract OCR or API-based services like API4AI OCR. These options provide APIs for seamless integration into existing software systems. - Source: dev.to / 10 months ago
  • Mastering Text Extraction from Multi-Page PDFs Using OCR API: A Step-by-Step Guide
    Tesseract OCR is an open-source OCR engine created by Google, known for its accuracy and wide language support. It is particularly favored by developers for its flexibility and the absence of licensing fees, allowing it to be integrated into various applications. However, it demands more effort to set up and utilize compared to cloud-based OCR services. - Source: dev.to / 11 months ago
  • Ask HN: How to OCR a PDF and preserve whitespace?
    Many of the OCR services are based on the free, open-source Tesseract OCR, but don’t expose all of the options. If you’re handy with shell scripts or Python, you can probably get better performance by hand-tuning options for your particular images. For example, if I recall there are page segmentation options to tell Tesseract to expect multi-column text. That alone might get you better performance than the... - Source: Hacker News / 12 months ago
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Nanonets mentions (6)

  • Healthcare Automation Can Improve Patient Engagement
    Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 3 years ago
  • Document Automation for Probate
    Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: almost 3 years ago
  • Promote your business, week of May 16, 2022
    Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: about 3 years ago
  • How would you annotate resumes for object detection?
    Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: about 3 years ago
  • Automate Exam Research with Django, Nanonets and Google Search API
    We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / over 3 years ago
View more

What are some alternatives?

When comparing Tesseract and Nanonets, you can also consider the following products

ABBYY FineReader - ABBYY's latest PDF editor software, FineReader 16 you can easily convert files like PDF to Excel, PDF to Word, edit, share, collaborate & more with this PDF editor!

Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.

GImageReader - gImageReader is a simple Gtk/Qt front-end to the Tesseract OCR Engine.

DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

Onlineocr.net - Free Online OCR service allows you to convert PDF document to MS Word file, scanned images to editable text formats and extract text from JPEG/TIFF/BMP files

DocuClipper - Automate data extraction from bank statements, invoices, tax forms and more.