How to Convert Handwritten PDF to Text in 2024

Convert Handwritten PDF to Text

Digitization enables ease in handling documents to save, share, and access material. However, converting handwritten PDFs to text is still a big challenge. Old methods of digitization are not precise enough in the conversion of handwriting to editable and machine-printed text because they lead to errors and confusion. In the current era of advanced technology, many tools and techniques are very helpful to handle this challenge.

The tools to convert handwritten PDFs to text use OCR technology and transform them into editable text within seconds. Such tools make it easier to organize and share your words in that document.

To know how to convert scanned files with handwritten text, we will discuss free options that will simplify your conversion of handwritten PDFs. These tools also make digitization and data extraction more manageable.

Challenges in Handwriting data extraction

There are many challenges in handwriting data extraction due to several reasons. The process of handwriting data extraction includes digitization. It converts handwritten documents into that digital format. This step is easy and straightforward. The real and noteworthy challenges in handwriting data extraction arise when we have to turn these scanned images into editable text. Here we will see some valid challenges in the extraction of data from handwritten scanned images;

1. Irregularities in handwriting styles

The primary challenge is the irregularities in handwriting styles. People generally write in many different ways. They use different angles, forms, and sizes of letters. These irregularities make text recognition a complicated process. In this case, machine learning algorithms are very useful to improve accuracy, but sometimes they also struggle with chaotic or unreadable handwriting.

2.  Transcription

The second most important challenge is transcription. It can also be problematic, especially when you are dealing with older documents where liquid ink is faded or scanned image paper has worsened. In these situations, the conversion of scanned PDF images into editable text can produce errors. These errors lead to inappropriate data extraction.

3.  Context

The third important challenge is context. It plays a crucial role in precise data extraction. Sometimes, handwriting recognition systems misinterpret numbers or letters. They interpret wrongly, especially when there is high uncertainty or misplaced information. Addressing this challenge needs cutting-edge technology and advanced Machine Learning Algorithms. Such technologies ensure correct transcription and reliable Data extraction.

handwriting recognition systems misinterpret numbers or letters

What are the main methods or tools for Automated Handwriting data extraction?

For automated handwriting data extraction, there are numerous primary techniques or tools available. However, a few noteworthy and useful ones are as follows:

1.    Optical Character Recognition

The most common method for converting handwritten PDFs into editable text is Optical Character Recognition. It works by examining the scanned images of documents and identifying the shapes and patterns of individual characters.

Optical Character Recognition tools can help in extracting text from native PDFs. However, its performance decreases when used for extracting handwritten.

2.    Intelligent Character Recognition

The second most common method is Intelligent Character Recognition. It is considered for Handwriting recognition text. This Automated Handwriting data extraction method uses machine learning algorithms to understand several styles of handwriting. Intelligent Character Recognition is particularly convenient when you need to convert handwritten PDFs to text. The main reason behind this is that it can;

  • Handle different handwriting styles
  • Produce editable text with greater accuracy

Intelligent Character Recognition is far more flexible than in print fonts.

3.    Free Online Tools

Many free online tools can help you convert handwritten PDFs to text. These online tools often use both OCR and ICR technologies for the conversion of PDF to text. Some prominent and helpful tools are;

  • Google Drive with Google Docs
  • Microsoft OneNote
  • OnlineOCR.net
  • i2OCR
  • AlgoDocs

Users can upload their handwritten PDFs to these online services. These tools process the documents to extract text. The best part of these tools is that you can download the resulting editable text or copy it for further use. These free online tools offer a suitable way to convert handwritten PDFs to text. AlgoDocs, on the other hand, is an excellent choice if you’re searching for a more specialized tool that enables you to extract not just handwritten data but also any kind of data, including tables and structured data. AlgoDocs offers a forever free subscription, with 50 pages processed every month.

Handwriting to Text: Easily Convert Handwriting to Text using AlgoDocs

The best way to convert handwritten pdf to text is by using AlgoDocs. It is a convenient and amazing tool for converting handwriting to text online for free. It streamlines the process of digitization by providing an easy platform for usage. You can convert scanned handwritten documents and convert into editable text. AlgoDocs is equipped with advanced text recognition and machine learning algorithms. It guarantees high accuracy even with several handwriting styles.

How to extract handwritten data using AlgoDocs

Step 1: Log in to your AlgoDocs account and go to the home page, which is the Dashboard.

Step 2: Click on the Extractors tab, where you can see the Create button on the top right side, and click on it.

Extractors tab

Step 3: Choose the custom extractor for getting structured data from your documents as you need it.

custom extractor

Step 4: A pop-up window will come out, and this is where you upload your sample file to extract data from. Click on the Choose file to locate the document from your device storage folder, then assign a name to the extractor. Once done, click on the Create Extractor button.

pload your sample file to extract data from

It will populate under Extractors as below; in this article, our example is called “Sample 1.”

Sample 1.

Step 5: Click on the blue button labeled “Manage”, to create the data to be extracted.

Step 6: Click on Add to choose what type of extraction method you want. Here, you may use rule-based and AI-based extraction.

In this example, we will choose the AI extraction method, “Form Data Extraction.”

After clicking on “Form data extraction”, the uploaded page that want to extract data from will appear on a new page. Then, on the top right corner, click on ” Continue.”

Step 7:  The raw data from your document is displayed. You can now use available filters to select certain data and update or format the extracted data as you like. Once done, write the Field/Table name on the Left side inside the blank text box, and click the SAVE button on the right side.

Step 8:  Now go to the extracted date and choose the extractor name, from the first drop-down menu. The extractor will populate the extracted date information.

To view the extracted data, click on the Rows, and the data will populate as below.

 You can then choose to download the data as Excel, JSON, or XML

How accurate is the handwriting recognition software?

Handwriting recognition software uses machine learning and digitization techniques. These tools, like AlgoDocs, use advanced algorithms to convert handwritten content into editable text. However, the noteworthy factor is that the accuracy of handwriting recognition software may vary.

  • The main factor that influences accuracy is the simplicity and clarity of the handwriting. Clear and simple handwriting yields better results in text recognition.
  • The second most important factor is the quality of the scanned document. PDF scanning into images should be clear and free from any fadedness. A well-scanned PDF can give handwriting recognition software an improved result with precision while extracting data during PDF conversion.

Can I extract handwriting in different languages?

Yes, you can extract handwriting in multiple languages. Recently developed AlgoDocs’ handwriting recognition algorithms are designed in such a way that they can support numerous languages with the help of advanced text recognition and machine learning algorithms. This flexibility makes digitization more open to a worldwide audience. In addition, these algorithms were trained on various datasets that allow them to identify and convert handwritten text from multiple language backgrounds into editable text. In general, AlgoDocs supports data extraction from documents in Arabic, Armenian, Belorussian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Filipino, Finnish, French, German, Greek, Hebrew, Hindi, Icelandic, Indonesian, Italian, Japanese, Korean, Lao, Latvian, Lithuanian, Macedonian, Nepali, Norwegian, Persian, Polish, Portuguese, Russian, Serbian, Slovak, Slovenian, Spanish, Swedish, Telugu, Thai, Turkish, Ukrainian, Vietnamese, and many other up to 200 languages.

AlgoDocs identifies words, letters, phrases, and handwriting styles that can vary across languages. The first step is document scanning. This process includes converting physical paper into scanned formats such as images and PDFs. Fine scans are important for precise text recognition and data extraction, particularly when the written text is in different languages.

AlgoDocs identifies words, letters, phrases, and handwriting styles that can vary across languages.

AlgoDocs then extracts the text and makes it editable and searchable, irrespective of the language used. In no time, the handwritten document becomes a digital file format such as Excel, word, XML, JSON, etc.

Advantages of using AlgoDocs for processing low-quality images and extracting tables

There are many advantages of AlgoDocs. It is very useful when you are dealing with low-quality images and extracting data from intricate formats like tables. Here are some prominent advantages of using AlgoDocs;

  • Processing Low-Quality Images

AlgoDocs has the capability to handle an array of document quality issues, such as low-quality scans or unclear images. It uses progressive machine-learning algorithms to improve text recognition. It also allows it to analyze documents that are very difficult to read by other tools. This factor makes it an important tool for digitization and transcription. AlgoDocs ensures that even blurry scans can be converted into editable text easily.

  • Extracting Tables

Another advantage of using AlgoDocs is its ability to extract tables and even complicated, multi-page ones from scanned documents perfectly. This is very useful when you are working with structured data, such as financial statements, HR Forms & Payrolls, Receipts, Sales & Purchase Orders, etc. AlgoDocs software identifies the layout of tables, rows, and columns and converts the data into a format that you can edit or export to other programs.

  • User-Friendly Interface

The noteworthy advantage of AlgoDocs is its amazing user-friendly interface. Even users with slight technical experience can simply use the software. This user-friendly interface makes it open to a broad audience. This comfort-of-use boost allows you to adopt digital solutions to convert handwritten PDFs to text-free formats.

Final Thoughts

Converting handwritten PDFs to text is now very efficient with AlgoDocs. It uses machine learning and optical character recognition (OCR). Whether you are using the above-mentioned free online tools or AlgoDocs software, the key is to select a solution that fulfills your needs for conversion of handwritten PDF to text and data extraction.

FAQs

What AI tool converts PDFs to handwritten text?

AlgoDocs is AI-based software. It can convert any kind of PDF document into an editable text format. This AI tool makes it easy to convert handwritten PDFs to text.

How can I convert PDF handwriting to text?

The best way to convert handwriting to editable text is with AlgoDocs. You can scan the handwriting with your scanner. After that, this software will recognize the text and convert it into text on a document.

How does the recognition accuracy of handwritten text compare to that of extracting printed text?

The accuracy of handwriting recognition depends on the readability and quality of the handwriting. Printed text usually has much higher accuracy than handwritten text, but developments in recognition technology have enhanced the accuracy of handwritten text conversion.

Feel free to start a free subscription right now and test your handwritten or scanned documents. You can use AlgoDocs for free forever, with 50 pages per month. If you need to process a larger number of pages, then please see our affordable pricing plans.

Here are some resources to explore further:

Please contact us if you need any assistance.

Comments are closed.