Key Factors to Consider When Evaluating Image to Text Converter Software

Image-to-text converter software is a valuable tool that facilitates the extraction of text from images. By taking advantage of advanced technologies, this software effectively analyzes and extracts text from various types of images. 

However, it is crucial to consider some key factors when evaluating image-to-text converter software to ensure optimal performance and reliability. Overlooking these factors can lead to inaccurate conversions, reduced efficiency, and potential errors in the extracted text.

Accuracy and Quality

The accuracy and quality of image-to-text converter software are vital for reliable text extraction. Let’s explore the key factors that contribute to accuracy and quality:

OCR Engine and Algorithm

The OCR (Optical Character Recognition) engine utilizes pattern-matching algorithms to compare text images with its internal database. Detection algorithms evaluate lines, strokes, and patterns to recognize characters. The feature detection technology is based on Histogram of Oriented Gradients (HOG), Scale-Invariant Feature Transform (SIFT), or Convolutional Neural Networks (CNN). These algorithms help in distinctively characterizing patterns. This meticulous process ensures precise character identification and enhances accuracy. 

Image Resolution and Quality

The image plays a crucial role in OCR accuracy. Optimal results are achieved with images of 300-600 DPI. Lower DPI can lead to inaccuracies, while higher DPI unnecessarily increases the file size. Sharp character borders, high contrast, proper alignment, and minimal noise also contribute to better image quality.

Language and Font Recognition

OCR software is specifically designed to recognize and extract text from images in various languages and font styles. It offers multilingual capabilities, supporting languages such as English, Spanish, French, Chinese, and more. Additionally, it can handle different character sets, including Latin, Cyrillic, Arabic, and Devanagari scripts.

When it comes to font recognition, the OCR engine is equipped to handle text in various fonts. However, standard fonts like Arial and New Times Roman tend to yield better recognition results compared to fonts with unconventional character shapes. The software’s ability to accurately read and interpret the text in different fonts enhances its overall performance and usability.

Handling of Special Characters and Symbols

A reliable image-to-text converter software should have the capability to accurately recognize and extract special characters using OCR. It should allow users to specify multiple special characters, such as dashes, periods, and spaces, within the field string for precise field position identification. The more adept the software is at handling special characters and symbols, the more effective it becomes as an image-to-text converter.

To gauge the OCR accuracy, consider the following benchmarks:

  • Good OCR accuracy: Character Error Rate (CER) of 1-2%, indicating 98-99% accuracy.
  • Average OCR accuracy: CER of 2-10%.
  • Poor OCR accuracy: CER greater than 10%, meaning below 90% accuracy.

Ease of Use

When evaluating the ease of use of Image to Text Converter Software, several factors come into play including the following:

User Interface and Design

Analyzing the UI and design of the software is crucial for a seamless user experience. Elements such as layout, typography, color scheme, and visual hierarchy play a vital role. Software with common UI design, such as cluttered interfaces, inconsistent styling, poor contrast, and confusing navigation should be avoided. Without a user-friendly interface, the user experience will be compromised. 

User Experience and Workflow

A well-designed image-to-text converter software should prioritize a smooth user experience and workflow. It should have an intuitive interface that guides users through the conversion process effortlessly. The software should minimize the steps required to upload, process, and extract text from images. It should provide clear instructions, feedback, and error handling to ensure a seamless and frustration-free user experience. 

Batch Processing Capabilities

Efficient batch processing capabilities are essential for users who need to convert multiple images to text. The software should allow users to upload and process multiple images in a batch, streamlining the conversion process. It should provide options for organizing, prioritizing, and managing batch conversion to improve productivity and efficiency.

Some of the best known image to text converter softwares that offer batch processing capabilities include Adobe Acrobat Pro, ABBYY FineReader, and Textract by Amazon Web Services (AWS). 

Integration With Other Software and Tools in OCR

Seamless integration with other software and tools can enhance the overall functionality and usability of the image-to-text converter software. It should offer compatibility and integration options with popular productivity tools, document management systems, or cloud storage platforms. This allows users to easily import images, export converted text, and integrate the software into their existing workflow.

For example, if a software offers image to text conversion and directly exports it to a Google Docs, it would seem much more useful compared to a software that simply offers a text-box output from the input image. 

Security and Privacy

Just like any other software, image-to-text programs also have their security concerns and challenges. To ensure no security or privacy challenges arise, several top-notch security elements are used. 

Data Protection and Encryption

To protect sensitive data, encryption is commonly used, particularly for large amounts of text data. Cryptography involves converting plain text into cipher using symmetric or asymmetric keys. Symmetric encryption utilizes the same key for both the encryption and decryption processes, while asymmetric encryption involves a private and public key.

Image-to-text programs also make use of secure communication protocols such as HTTPS (Hypertext Transfer Protocol Secure) and encryption algorithms like AES (Advanced Encryption Standard).

User Access and Permissions

An organization can assign specific roles and permissions to people as needed, on how they would want them to use a particular software. Each role is associated with a set of predefined permissions that determine what actions the users in that role can perform. For example, editors can convert images from text and check if it has been translated correctly or not or editors may not have the permission to use or access the data elsewhere. On the other hand, admins, such as department managers may have full access to how this data can be used.

Some users are offered read-only access, which allows users to only view the data, and read-write access, which grants users the ability to both view and modify the data. The benefit of user access and permissions comes down to privacy, as well as security of data in the long run. 

Compliance with Industry Standards and Regulations

Not all Image-to-text programs adhere to specific data protection regulations like the General Data Protection Regulation (GDPR), which instructs that every user has right over their own data including its storage, use, control, and transparency. For example, if a person does not want the image-to-text software to record and store his data or the image that he is converting, he has the full right to do so. 

Depending on the region and compliance requirements, there are several other compliance standards to consider in an image-to-text software. 

  • ISO/IEC 27001: Image-to-text software providers follow the international standard ISO/IEC 27001 for a comprehensive set of controls and best practices for managing and protecting information assets within an organization. 
  • HIPAA (Health Insurance Portability and Accountability Act): If the image-to-text software is used in the healthcare industry, it should comply with HIPAA regulations. As per this compliance standard, privacy and security of protected health information (PHI) requires appropriate safeguards to protect patient data.

Cloud Based vs On-Premise Solutions

Both types of image-to-text solutions have their own pros and cons and the answer to this can vary by  company’s requirements. 

  • Cloud-based: The main benefit of cloud-based image-to-text software is that there is no installation or maintenance required at the company’s end and physical storage devices or servers are needed. It is easily accessible via the internet from almost anywhere, using any device. However, since the data is being uploaded on a different company’s servers, the question of data integrity comes up. Although encryption is one way to deal with the issue, some companies would still disagree considering the rising challenges of cybercrime. 
  • On-Premise Solution: On-premise solution are fully under the control of the company, including the data. However, maintenance of an on-premise solution requires a technical team as well as upfront cost of equipment, such as storage devices and servers, making it a more expensive and inaccessible option for many companies. 

Customer Support 

While most of these softwares do not require any major element of customer support, sometimes, it becomes important, particularly when you have paid for such a system. Following are a few aspects of customer support to look after when buying an image-to-text software. 

  • It is a good idea to look for a software that offers a guarantee such as a 14-day or 7-day money back guarantee. Such a guarantee is important as it indicates the confidence the provider has in its conversion software. It is also helpful for people who might be trying to convert an unclear images to text and in case the software does not work for them, they can simply file for a refund.
  • Consider online resources such as reviews from other people who have bought and tried out the software. This will let you know whether or not the software is useful for you. Some of the recommended resources include Reddit Forums, Trust Pilot, and Youtube Reviews. 
  • Look for training tutorials that the company has provided. Although most of image-to-text software tend to have an easy-to-use interface, some might be tricky for newbies. Such aspects highlight that the customer service of the company should be good enough.
  • Many of the softwares are so popular that they even have their own user community and forums. For example, Adobe Acrobat Pro has hundreds of active forums and discussions among users where newbies and pros can ask questions as needed.

Pricing and Licensing

Assuming everything is comparable, but the price isn’t, chances are you might not want to buy a particular image-to-text software because of this one reason alone. Since cheaper alternatives are available, the price of image-to-text software becomes relevantly important. 

Understand the cost structure first. Some companies like Readiris have a one-time purchase fee, which allows you a lifetime access to the software. On the other hand, companies like Adobe might require a monthly subscription.

If you have long term work, the lifetime purchase option makes more sense. For occasional text-to-image conversion, there are even free options available. For example, Textract by Amazon Web Services, which offers AWS Free Tier that, includes 1,000 pages per month for three months. 


There are several important factors to consider when deciding on an image-to-text software, including accuracy, ease of use, security, price and customer support. Be mindful of these and you will be able to choose the best option for yourself, or a business. You might also want to head over to the guide on best picture to text converter programs to make the right choice as per your requirements.