Python Tools for Image Text Recognition You Should Use

Nowadays, images are widely used to store text, whether in the form of business cards, receipts, screenshots, infographics, or many other types of documents.

But what if someone needs to use or edit that text? One way is to manually transcribe the entire script and do whatever they want to do with it. But doing so demands a lot of time. Manually typing text requires both time and effort.

An easy alternative? Yes, there is one: Python-based image-to-text tools. These tools use Python libraries along with AI technology to recognize and extract text accurately. These tools work for all images that hold text on them. 

But where can you find these tools? What are some effective online tools that you can use? Are they free to use? In the below sections of the detailed guide, we’ve mentioned a few best ones!

Imagetotext.info

Imagetotext.info is another tool on our list that leverages its sophisticated Python algorithms to extract text from scans and images in a gist.

Like other tools on the list, imagetotext.info is a free to use option with unlimited tries. It is web-based, so you need a stable internet connection to utilize its power.

When you go to the tool’s landing page, the first impression is: simplistic design, no frill functionality. All you have to do is to upload the image through your device, drag & drop, or fetch the file directly from a URL. Then, click the ‘Convert’ button and see the output in front of you.

It’s a user-friendly platform that requires minimal technical skills. It is a perfect choice for students, professionals, and researchers as this tool supports various types of images formats, some of them are listed below:

• PNG
• JPG
• JPEG
• BMP
• GIF
• TIFF

The text recognition primarily happens due to the Optical Character Recognition (OCR) technology. The Python library, Pytesseract is used to bring in the OCR functionality. 

Every time you use this tool, it provides you with accurate text finding and extraction. This tool even supports bulk processing the images. What it means is that it can find text from multiple images in one go to save your time.

Best Features:

• Easy-to-use interface
• Supports and can recognize multiple languages
• Support multiple image formats
• Allows uploading and processing multiple images at once.
• Works on all major browsers and devices.

Pricing: Free to use for up to 3 images in one go for unlimited time. A premium plan is also available, and it costs $10/month. Using this, you can process up to 50 images at once.

Image to Text by Prepostseo

Prepostseo Image to Text  is free to use (with some limitations), a web-based tool that can recognize the text from any image you submit. 

When you open the tool, the first thing you notice is its easy-to-use design. There is an image input box, and that’s it. On submitting the image, all you have to do is click on the ‘Extract Text’ button to make the tool recognize and extract text. 

Unlike other options, Prepostseo’s image to text tool allows uploads of up to 10MB image size. This is huge, considering that many free options in this space don’t even go past the 5MB mark.

Best Features:

• Upload files of up to 10MB in size
• Secured data
• Support multiple image formats
• Works on all major browsers and devices.

Pricing: Free to use for up to 3 images in one go for unlimited time. A premium plan is also available, and it costs $10/month. 

Image to Text Converter by CardScanner

Image to Text Converter by CardScanner is the last Python-based text recognition and extraction tool on the list. While this tool can work for any image, it works best for business professionals who deal with documents, invoices, and business cards.

One very unique aspect of this tool is the history option—users can revisit previously scanned files. However, it is required to create an account to activate and use this feature. 

Another aspect that makes it stands out is its perfect suitability for business applications. For example, it can extract contact information from business cards, convert printed invoices into editable formats, help in digitizing paper documents, and more. 

The interface is intuitive, and users can upload, copy-paste, drag-drop images, or provide the direct URLs. It also has an API to seamlessly integrate its Python programs on other platforms.

The tool ensures data security and confidentiality, a key feature for sensitive documents. It is also optimized for mobile use, making it convenient for professionals on the go. 

Best Features:

• Ideal to extract text from business cards, receipts, and invoices.
• Developers can embed its API into custom applications.
• Optimized for smartphones and tablets.
• Ensures privacy for sensitive data.
• Handles complex documents with ease.

Pricing: Free to use for unlimited times. Premium plans unlock all its available features, with a price tag of $4.99 a month. 

Conclusion

Python-based image-to-text recognition tools are a game changer—they simplify the process of text extraction from images.

Whether you're a student, professional, or business owner, tools like Prepostseo Image to Text, Imagetotext.io, and Image to Text Converter by CardScanner offer practical solutions. 

They provide features like multi-language support, bulk processing, and developer APIs for seamless integration. These tools save time and effort by quickly converting printed, handwritten, or complex text into editable formats. 

With both free and premium options available, they cater to diverse needs. These make text recognition more accessible, efficient, and reliable for everyone.

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