How AI and OCR are Empowering Modern Picture to Text Converters

Artificial Intelligence (AI) and Optical Character Recognition (OCR) are two of the most popular technologies right now. Traditional picture to text converters were only using OCR to scan and extract editable text from photos, scanned documents, handwritten notes, etc.

However, modern converters have combined the power of both OCR and AI to become more accurate, intelligent, and quick at performing text extraction. In simple words, this technology duo has completely transformed the landscape of text extraction.

In this blog post, we will be discussing how both of these technologies are empowering picture to text converters, so hang around with us till the end.

What Exactly are Picture to Text Converters?

Before we head toward our main topic, let’s first understand what picture-to-text converters are. A Picture to text converter is an online tool that works to effectively scan and extract editable text from images with a single click.

The introduction of such tools has completely eliminated the need to spend your valuable time and effort on manually performing the extraction. That’s the reason why these are being employed by both organizations and common individuals.

Different Ways AI and OCR are Powering Advanced Picture to Text Tools

Here are some of the major ways through which both artificial intelligence and optical character recognition technologies are empowering modern picture-to-text converters.

1. Enhanced Text Recognition Accuracy

Text recognition is one of the most important stages in the data extraction. Traditional converters used pattern recognition to identify letters and words that the input image contains. However, this technique often gets off track, especially when the image is noisy or of low quality. 

The partnership of OCR and AI has solved this issue; let us explain how. Advanced artificial intelligence algorithms, especially deep learning models, are allowing picture to text converters to effectively scan and extract text even from distorted, blurry, or low-lightened photos and documents.

In simple words, AI has taken the accuracy of modern image to text converters to new heights.

2. Improved Multilingual Support

Traditional pictures to text converters usually offer support for a few languages, especially those with crystal clear syntax. Luckily, when OCR is combined with the power of AI, the multilingual capabilities image to image-to-text conversion tools have been transformed completely.

Artificial intelligence has given them the ability to first analyze the syntax of text in the given image, and then automatically shift their mode to that specific language, enhancing the overall accuracy and efficiency.

Now, modern converters can scan and extract editable text from almost any international language, making them a reliable yet suitable option for the global audience.

3. Automatic Layout & Structure Detection

When traditional image-to-text converters are provided with a photo with a complex text structure and format. Their algorithms get confused about where (which side of the image) it should start extracting the text while preserving the formatting.

However, that’s not the case with AI and OCR-powered picture-to-text converters. This is because they come with robust analysis capabilities, which allow them to perform the extraction process while perfectly retaining the format/layout of the uploaded image.

4. Support for Diver Fonts

We all know that there is a huge variety of text fonts available online. A rough estimates suggest that there are 200,000-250,000 distinct fonts are there. Before the integration of AI into OCR-powered image-to-text converters, these tools were not able to scan all types of fonts.

Even if they become successful in doing so, the result often contains some missing text or irrelevant details - a complete indication of a lack of advancement.

The AI models are trained on wide datasets, including all the font libraries, in this way, modern picture-to-text converters

5. Continuous Learning

The most valuable benefit of artificial intelligence is that it automatically learns about its performance to make improvements for the future. So, when AI and OCR-powered picture-to-text converters are used on a regular basis, their accuracy and quickness will also improve.

They will adapt to new image types, uncommon fonts, complex languages, and many more. In simple words, the continuous learning mechanism is making modern tools more intelligent and efficient with the passage of time.

6. Context Interpretation

This is the final way we will be discussing today. Context interpretation is the ability that isn’t fully implemented, but work is going on. By integrating Natural Language Processing (NLP) - a form of AI technology, modern image-to-text converters will get the ability to effectively comprehend the context of the text that the picture contains.

For instance, if your submitted photo contains some incomplete text, then modern NLP and OCR-powered tools will automatically complete it and serve you with the output. Apart from this, these can also fix grammar and other typos during the extraction process.

So, these are some of the major ways through which both AI and OCR technology are empowering modern picture-to-text converters.

---

Bottom Line

Due to the advancements in the field of artificial intelligence, this technology is now being integrated into numerous tools, including modern picture-to-text converters. The power of AI and OCR has significantly improved their quickness, accuracy, and versatility in several ways. This blog post has discussed those ways in detail.