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Author name: Shubhankar Biswas

Data Extraction, PDF

What is a PDF Parser?

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Back to Blog Table of contents On this page What is a PDF Parser? Home › Blog › Data Extraction › What is a PDF Parser? Categories Data Extraction PDF Tags ai platform for data extraction algodocs character recognition data extraction from images deep learning export extracted data to excel invoice process machine learning ocr api web-based ai platform for data extraction By Shubhankar Biswas Published October 13, 2025, 12:03 Updated July 29, 2026, 02:32 A PDF Parser is a program or a library that enables end-users and organizations to parse data from native PDF documents. Often, organizations need to parse PDF documents for specific fields such as Account Number, Date, Address, Bill to/from information, or parse tabular data. PDF Parsers are usually needed and used for processing and parsing data from large amounts of documents. On the other hand, when you have a handful of documents you simply go and copy the data you need from PDF documents manually and paste it to Excel or anywhere you need it to be. PDF Parsers enable end-users to get data from hundreds and thousands of PDF documents in real time by saving huge amounts of time and, thus, money. Parsing pdf documents isn’t an easy task. There are various ways native pdf documents are generated and parsing data from such pdf documents requires smart approaches. Parsed data from PDF documents greatly varies depending on the industry, which means the data parsed might also greatly change, which complicates the task. Parsing PDF medical forms, which contain specific fields such as First, Middle, and Last names, Sex, Date of Birth, etc. are very different from PDF purchase orders that contain mainly the items in the tabular form with such columns as Item No, Code, Quantity, Item Price, Amount, etc. Therefore, if PDF Parser produces just a bunch of text from a PDF document it does not make much sense for the end-user. What end-users or organizations require is the structured data parsed from PDF documents. In other words, PDF Parser should extract from PDF documents only the data the end-user needs and in the right structured format. For this, the PDF Parser must be smart and flexible enough to parse PDF documents with various layouts and data types. How to parse PDF documents with various layouts? Algodocs allows you to parse PDF documents of any complexity in their layouts and type of data. With the flexible extracting rules of Algodocs, you can parse data from PDFs with different layouts. It is very easy and quick to set up extractors in Algodocs for your PDF documents. We provide 100% free technical support and are ready to set up extractors for you. While we provide free support for creating extracting rules, you may check our help and support section if you wish to learn how to create extracting rules in Algodocs. Watch the following introductory video to get an idea of how it works in Algodocs. Feel free to start a free subscription right now and parse your pdf documents. You can use Algodocs free forever with 50 pages per month. If you need to process a higher number of pages, then please see our affordable pricing plans. If you have specific requirements and need a custom solution, please contact us. You Might Also Like PDF Data Extraction: The Best Tool and Techniques PDFs are ubiquitous in every organization, serving as the go-to format for sharing and exchanging business data. However, extracting, editing, or… Shubhankar Biswas October 13, 2025 PDF Image Extraction: A Comprehensive Guide To Extracting Image Data From Scanned Pdf Files In 2025 PDF image extraction is a challenging process. Without proper tools and technology, this process can be tedious and prone to errors, which can… Shubhankar Biswas September 1, 2025 Convert PDF to JSON – Convert PDF Documents to Structured JSON Objects Table of Contents Introduction Organizations in various industries widely use PDF documents, since no doubt PDF is a common document format for… Shubhankar Biswas October 13, 2025 Start extracting your data today No credit card required. Process up to 50 pages per month on the Forever Free plan. Book a Demo Get Started for Free

PDF

Convert PDF to JSON – Convert PDF Documents to Structured JSON Objects

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Back to Blog Table of contents On this page Convert PDF to JSON – Convert PDF Documents to Structured JSON Objects Home › Blog › PDF › Convert PDF to JSON – Convert PDF Documents to Structured JSON Objects Categories PDF Tags ai platform for data extraction algodocs character recognition data extraction from images deep learning export extracted data to excel invoice process machine learning ocr api web-based ai platform for data extraction By Shubhankar Biswas Published October 13, 2025, 11:59 Updated July 21, 2026, 05:15 Introduction Organizations in various industries widely use PDF documents, since no doubt PDF is a common document format for businesses to transfer data. Purchase orders, Invoices, Agreements, and many more document types are interchanged in PDF formats. On the other hand, JSON is another format that represents data in a structured format, which is widely used in transferring data between web applications. As a result, Working with JSON is much easier than with PDF. Therefore, in this article, we will talk about PDF and JSON formats and how you can convert your PDF documents to JSON format. What is a PDF? PDF (Portable Document Format) was initially developed by Adobe® Systems in 1992 and is standardized as ISO 32000. What makes PDF so popular is it is independent of the application software, hardware, and operating system. Other than text and images PDF files may contain a variety of content such as annotations, form fields, layers, etc. There are many advantages of PDF format such as multi-dimensionality, which we have already mentioned – being able to contain various types of content, text, images, videos, vector graphics, interactive fields, hyperlinks, and buttons. Moreover, PDF documents are easily created and viewed on different devices.  Security in PDF was one of the primary concerns of Adobe® Systems. Therefore, PDFs have different access levels to protect the content and the whole document, such as passwords, digital signatures, and watermarks. However, some of the downsides of a PDF are the complexity of editing and especially extracting data from it. Moreover, PDFs are not generated in the same way, so different PDF files can be created in various ways, which complicates the task of extracting data from PDF documents. What is a JSON? JSON (JavaScript Object Notation) is a very popular data format, which appeared in the early 2000s. JSON is a language-independent data format and is used to transfer data between software applications, particularly web applications, usually between server and client.  Most of the API integrations are realized using JSON format for data transfer since it is very easy to work with JSON. Consider a JSON object called person, which contains the following information:{   “name”: “John”,   “surname”: “Doe”,   “age”: 25} Accessing fields of a JSON object is as simple as using the name of the object and the field name you want to access by separating them with a dot as follows: To access a person’s name we use person.name, which will give us “John” as a result. Similarly, we do for surname and age fields: person.surname, person.age Note how easy it is to access any field of a JSON object, which is definitely not compared to accessing specific information in the PDF document. How does JSON differ from PDF? Although PDF and JSON are both widely spread and used, there is a huge difference between PDF and JSON. The difference between them is simply in the purpose of their usage. PDF is mainly used for exchanging information between humans, since it contains text, graphics, illustrations such as images and videos, etc. On the other hand, JSON is mainly used between computer programs and different applications for communicating and exchanging data between each other. It is not an easy task for a human to read information from a JSON file, especially if it is a compressed one, but it is a perfect way to access information from JSON for a software application. The opposite goes for the PDF. Therefore, PDF and JSON become important, useful, and helpful only when they are used in the right place and for the right purpose. How to Convert PDF to JSON? Often, organizations need to transfer data to other programs for further processing. This data is often stored in PDF documents since businesses often speak to each other in a “PDF language”. However, extracting information from PDF documents can be challenging.  The simplest solution is that you can always copy and paste text from a PDF and send it to where it belongs. However, this simple approach has many problems, since first of all this will work only with native PDF files (not scans) for which you can even use some free PDF Parsers. Another problem even if your PDF documents are all native, it is not easy to copy the entire table from a PDF by maintaining its format, especially if the table spans over multiple pages, for example, 100 or 1000 pages. Additionally, often organizations need to extract specific data from PDFs, for example not the entire table, but instead specific rows or columns based on some conditions. Last, but not least, it is not worth spending your valuable time on menial data entry! Convert PDF documents to JSON with Algodocs Algodocs offers a perfect solution to extract any type of data from PDF documents and transfer it to other programs in real-time. Algodocs can extract fields and tables of any complexity from native as well as scanned PDF documents. You can convert your PDF documents to JSON in three steps with Algodocs. First, start by creating an extractor in Algodocs. Algodocs has some preprocessing operations that take some time depending on the number of pages your PDF document contains; usually, it is around 15-20 seconds. Then, go to the ‘Extracting Rules’ editor to create your extracting rules for every field you need to extract from your PDF documents. Similarly, if you need to extract tables from your PDF documents you can create extracting rules for tables by selecting ‘Table’ as the data type. After you are done with creating and extracting rules,

Algodocs

Extract handwritten text from scanned PDFs and images

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Back to Blog Table of contents On this page Extract handwritten text from scanned PDFs and images Home › Blog › Algodocs › Extract handwritten text from scanned PDFs and images Categories Algodocs Tags ai platform for data extraction algodocs character recognition data extraction from images deep learning export extracted data to excel invoice process machine learning ocr api web-based ai platform for data extraction By Shubhankar Biswas Published October 13, 2025, 11:56 Updated November 10, 2025, 13:34 Optical Character Recognition (OCR) engines are primarily focused on machine-printed text and may produce low accuracy for handwritten text. Intelligent Character Recognition (ICR) is an advanced recognition system that is used to recognize handwritten text. This allows the automatic conversion of text in an image into letter codes that are usable within computer and text-processing applications. Although many processes involve computer-based operations and are implemented in a digital environment, paper is still vastly used across most core business processes such as mortgage origination, order fulfillment, contracts, and other documents that usually require handwritten input and signatures. Nowadays, the digitalization of paper documents plays an important role, and deciding on the right data capture software is critical since handwriting recognition unlike printed text recognition is a more complex task that usually involves advanced deep learning algorithms. Algodocs: Deep Learning Handwriting Recognizer Algodocs is capable of converting handwritten text into machine-printed text with high accuracy. With the ICR of Algodocs, you can automate your document processing workflow and get rid of manual data entry. Scan your paper documents with handwritten text and let Algodocs automatically extract data and convert it to Excel or JSON. Let’s consider the following portion of a scanned document, which contains a table of two columns filled with handwritten numbers. If you upload this image to your account at Algodocs, you will see the following output, which has 100% accuracy. Algodocs uses advanced ICR engines trained with Artificial Intelligence algorithms and Deep Learning. The above example includes mostly digits. Another example with characters is given below. The following is the extracted text by Algodocs from the above image. As we can see Algodocs performs well in handwritten text extraction from scanned documents. Feel free to start a free subscription right now and test your handwritten scanned documents. You can use Algodocs free forever with 50 pages per month. If you need to process a higher number of pages, then please see our affordable pricing plans. If you have specific requirements and need a custom solution, please contact us. You Might Also Like How to Extract Handwritten Data from PDFs with Algodocs? Table of Contents Want to learn how to extract handwritten data from PDFs easily for your business documents? Algodocs is a powerful AI platform… Shubhankar Biswas October 13, 2025 Conquer Multilingual Data Extraction: A Step-by-Step Guide with Algodocs Introduction Sick of spending hours manually extracting data from multilingual PDFs and images? It could be more efficient, prone to mistakes, and,… Shubhankar Biswas October 12, 2025 Why convert PDF to Word on MacBook (Mac)? Picture this: You have a PDF file that needs to be revised or a scanned document that you wish to convert into an editable format like an MS Word… Shubhankar Biswas October 12, 2025 Start extracting your data today No credit card required. Process up to 50 pages per month on the Forever Free plan. Book a Demo Get Started for Free

Image Data Extraction

A Guide on Extracting Tables From Low-Quality Scanned Documents

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Back to Blog Table of contents On this page A Guide on Extracting Tables From Low-Quality Scanned Documents Home › Blog › Image Data Extraction › A Guide on Extracting Tables From Low-Quality Scanned Documents Categories Image Data Extraction Tags ai platform for data extraction algodocs character recognition data extraction from images deep learning export extracted data to excel invoice process machine learning ocr api web-based ai platform for data extraction By Shubhankar Biswas Published October 13, 2025, 11:52 Updated July 22, 2026, 09:54 Many companies deal with thousands of documents every month. Document workflow automation becomes vital for such companies as the number of documents increases. One of the most frequent and at the same time tedious operations when processing documents is reading data from tables, especially when documents are scanned PDFs or images. Automating table extraction from scanned documents and exporting them into Excel or JSON within seconds is a dream for every company dealing with manual data entry. Automating table data extraction from scanned documents and images reduces operational costs and saves a lot of time. In this article, we will talk about table extraction from scanned documents or images with low quality. You, most probably, came across some online tools that can extract tabular data from documents. However, there are a few that really work with low-quality scanned documents or images taken by a mobile device. Optical Character Recognition (OCR) is the technology used for converting scanned images into text. However, standard OCR tools require you to apply certain image processing operations on the images before you can apply OCR on them. Without manual pre-processing, OCR will fail in most cases, and accuracy will be low. Unfortunately, even with pre-processing operations free OCR tools produce poor performance. How to extract tables from scanned PDFs and images with low quality? Algodocs has an advanced AI-powered OCR engine that automatically handles any type of scanned PDF or image with a low quality. Algodocs accepts either colorful scanned images, black and white, or any other settings and extracts data with high accuracy. Algodocs can process scanned images with as low a dpi as 75. If you have scanned PDFs or images with low quality, then Algodocs is the right solution for you. You may start a free subscription right now and test your own scanned documents since we offer a free subscription (forever) with 50 pages per month. If you need to process a higher number of pages, then please see our affordable pricing plans. Please read our article on the basic steps for table extraction from documents here: Extract tables from PDF and scanned documents Algodocs: the best software tool to extract tables from scanned PDFs and images Consider the portions of the scanned documents below and the tables that Algodocs extracted from them. Example #1 Sample scanned image with low-quality (black and white) Extracted table by Algodocs. Example #2 Extracted table by Algodocs As you can see, the accuracy of Algodocs is perfect even with low-quality scans. However, there are cases when scanned images may cause Algodocs to make mistakes concerning small characters such as punctuation or other symbols (points, commas, date separators, etc.). Let’s have a look at the example below with a scanned image and see what Algodocs could extract from it. The extracted table from the above-scanned image is shown below. As you can see, there are numbers that are extracted with wrong decimal separators (indicated in red circles), i.e. a decimal point is mistakenly recognized as a comma. This is due to the dark background that some rows have on the image. With the help of flexible extracting rules of Algodocs, the workaround is quick and simple. Whenever you have low-quality scanned PDFs of images, we always advise you to follow the steps explained below. Step1. Remove all points and commas from the numbers We apply the ‘Search & Replace’ filter in Algodocs by using regular expressions as the search type. We apply this rule to all the columns in the example below, but you can restrict this rule to a specific column when needed. In order to find all dots or commas we use .|, as the search term and we leave empty the second field (replace by this), since we simply want to remove them. Step 2. Convert all numbers to their previous format Since we removed all points and commas from numbers, they actually increased, i.e. multiplied by 100 we can say (2,378.63 became 237863). Therefore, since we know that our numbers had 2 decimal places, we can divide all numbers by 100 to get the original numbers. The ‘Arithmetic Operation’ filter helps us implement exactly this. We divide numbers by 100 in the last column as shown in the example below. You may apply this filter to other columns too. That’s it. We got numbers in their original form with 100% accuracy! The same approach can be applied to other symbols when you have documents with a low quality. Please, contact us if you need any assistance. You Might Also Like How to Extract Handwritten Data from PDFs with Algodocs? Table of Contents Want to learn how to extract handwritten data from PDFs easily for your business documents? Algodocs is a powerful AI platform… Shubhankar Biswas October 13, 2025 Data Extraction for Legal Industry : How Intelligent Document Processing (IDP) Can Transform Legal Industry Document Workflow The global law and legal services industry is expected to reach $1,591.56 billion by the end of 2032, according to a report. The legal industry… Shubhankar Biswas October 12, 2025 Extract Tables from Images with AlgoDocs Extract Tables from Images with AlgoDocs One might find themselves overwhelmed by a deluge of paperwork—orders, checks, articles—all containing… Ibrahim Nalbant June 20, 2024 Start extracting your data today No credit card required. Process up to 50 pages per month on the Forever Free plan. Book a Demo Get Started for Free

PDF

Extract Tables From PDF and Scanned Documents

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Back to Blog Table of contents On this page Extract Tables From PDF and Scanned Documents Home › Blog › PDF › Extract Tables From PDF and Scanned Documents Categories PDF Tags ocr api pdf table extraction table extraction from pdf By Shubhankar Biswas Published October 13, 2025, 11:34 Updated July 20, 2026, 07:49 Extracting tables from PDF documents is always a tedious task, especially when the documents are scanned PDFs. Even when the documents are computer-generated PDFs, it can still be a complex and annoying task, since copying a tabular text from a PDF and pasting it to an Excel spreadsheet is not always as simple as it may look. Moreover, manual data entry with human interaction involves errors in addition to wasting time. How to convert PDF or scanned tables to Excel spreadsheets? There are free online tools that you can use to convert PDF tables to Excel spreadsheets if the PDF document is a text document (not scanned). Even for system-generated PDF documents, those tools just convert a table to Excel as is, without letting you filter a table and convert it into the format you need. Especially when tables span over multiple pages of a PDF, you definitely need to trim out all unnecessary text that occurs between pages, like footer and header information. Moreover, sometimes you might need to filter out either some rows or even columns of a table itself. Imagine table extraction from scanned documents! What if those scanned documents are of low quality? Alternatively, even worse, what if those documents are images taken by a mobile device… Yes, then the task of extracting a table from such documents gets even harder… Algodocs comes to the rescue! Extract tables from PDF and scanned documents with Algodocs Algodocs allows you to extract tables from PDF or scanned documents of any complexity thanks to its flexible extracting rules. Additionally, you can convert the table into the format you need with no coding at all. With Algodocs, you can extract invoice line items, purchase order product lists, bank statement transactions, and any other financial or custom documents that contain tables. Algodocs offers a free subscription plan forever with 50 pages per month. You may check our pricing for paid subscriptions based on your document processing requirements. Algodocs has a user-friendly interface and an easy-to-use extracting rules editor. You can set up extracting rules in minutes for extracting tables from your documents. The following are the steps to follow when extracting tables from documents in Algodocs: Create an extractor by uploading a sample document In the extracting rules editor, add a rule by selecting ‘Table’ as the data type Place column separators on the table Click on the ‘Extract’ button to extract the table and apply various filters to refine and convert the extracted table into the format you need Finally, export extracted tables to Excel or JSON You may watch the screencast video tutorials below on table extraction from documents. You can check out our Video Tutorials section for more videos. In the following screencast video, we demonstrate how you can extract tables, which are in fixed or variable positions, from PDF or scanned documents. In the following screencast video, we demonstrate how you can extract tables that span over multiple pages in a PDF. In the following screencast video, we demonstrate how you can use the ‘Merge Rows’ filter to extract tables that contain rows with multiple lines. Moreover, you can benefit from integrations in Algodocs such as Google Drive, Dropbox, or Zapier, and automate your document data extraction workflow with Algodocs in minutes. Please contact us if you need any assistance. You Might Also Like Convert PDF to JSON – Convert PDF Documents to Structured JSON Objects Table of Contents Introduction Organizations in various industries widely use PDF documents, since no doubt PDF is a common document format for… Shubhankar Biswas October 13, 2025 What is a PDF Parser? A PDF Parser is a program or a library that enables end-users and organizations to parse data from native PDF documents. Often, organizations need to… Shubhankar Biswas October 13, 2025 PDF Data Extraction: The Best Tool and Techniques PDFs are ubiquitous in every organization, serving as the go-to format for sharing and exchanging business data. However, extracting, editing, or… Shubhankar Biswas October 13, 2025 Start extracting your data today No credit card required. Process up to 50 pages per month on the Forever Free plan. Book a Demo Get Started for Free

Artificial Intelligence, Data Extraction

AI Data Extraction Checklist: Transform Business with Algodocs

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Back to Blog Table of contents On this page AI Data Extraction Checklist: Transform Business with Algodocs Home › Blog › Artificial Intelligence › AI Data Extraction Checklist: Transform Business with Algodocs Categories Artificial Intelligence Data Extraction Tags bank ocr deep learning digital transformation Finance ocr invoice invoice process KYC loan forms packing list ocr pdf to text sea waybill ocr web-based ai platform for data extraction By Shubhankar Biswas Published October 13, 2025, 09:25 Updated July 23, 2026, 07:33 What is AI Data Extraction? Let’s discuss data – a lot of data. Modern-day businesses are losing themselves in the sea of information. Whether it is an invoice, a contract, a weekly report, or a form, paper documents are still part of everyday life. Extracting data from such documents is a tedious, repetitive, and painful process if done manually. This is where AI data extraction comes to the rescue. It is a game-changer for anyone who has to work with several papers. Incorporating AI means data entry activities are done efficiently and there’s an increase in the accuracy and productivity of your business. Algodocs is a perfect example of an AI data extraction tool. Why? Let’s find out. Understanding Your Data: The Foundation for Successful AI Data Extraction Before you set loose the AI on your documents, I thought it’s best to discuss a little about your data. It is essential to know what type of data you are going to extract and what the process is going to be like. Identify Your Data Sources First things first: where do you store your data? The first action plan is to identify this source. Is it hidden in files and papers or dispersed in different online sites as in virtual archives? You’ll find your data in various forms: Manual records or documents that include invoices, contracts, and reports, among others. Documents in PDF files, Word documents, Excel, images, and many others. Databases that store many formats of data about any department in an organization. Assessing Data Quality Data quality is super essential for accuracy in the extraction process. Ensure that you go through your assembled data to determine whether it meets the standard of completeness, consistency, and accuracy. Check that all required data items are included. Check whether the formats, units of measurement, and terms used for data are consistent. Validating steps where errors, inconsistencies, or outliers will affect the outcome must be adopted diligently. Dedicating time to data preparation will enable laying down the key fundamentals of an AI data extraction project. Optimizing the extraction results of Algodocs, the company provides you with tools for evaluating data quality and detecting potential problems. Choosing the Right AI Data Extraction Tool Picking the right tool to extract AI data is critical to the success of any AI project. As we have seen, there are numerous strategies out there; that is why it is crucial to define your requirements precisely and compare tools based on the crucial factors. Critical Considerations for Tool Selection Accuracy: The whole idea of training an AI in the first place is to increase accuracy, isn’t it? Search for the tool with favorable accuracy characteristics, especially in the case of processing intricate and diversely formatted documents. Don’t forget about tables, crazy handwriting, or low-quality pictures. Speed: It’s important, especially in dealing with large numbers of documents that are prevalent in the modern organization. However, time translates to costs, more so when handling big data at hand or any other business. Having a fast and efficient tool can save hours, if not days off of your time. Flexibility is very important, especially for those industries that anticipate expansion. Scalability: The tool should be designed for growth which includes a higher amount of input data and scalability of business over time. Document Types: Think about the countless supported document types with your tool (PDFs, images, Word, Excel, and more). Data Formats: Verify that the tool can export information according to your preferred choice format (CSV, XML, JSON, etc.). Integrations: This is very important as technology should be compatible with the current systems and applications. In other words, a single tool could essentially serve the purpose. But if a tool can integrate with other existing systems, then that’s ideal. It integrates with frequently used business applications such as CRMs, ERPs, and data warehouses. Pricing: Analyze cost distribution for various pricing structures considering your estimated budget. Customer Support: Customer support should be reliable and available for providing technical support and answering questions at all times. Types of AI Data Extraction Tools Cloud-Based Tools AI data extraction in cloud-based is also beneficial since it is scalable, easily accessible, and mostly cheaper. These tools are stored at service providers’ central servers, and users only need an Internet connection to use them. Examples: Google Cloud Document AI, Amazon Textract, ABBYY Cloud OCR, and Algodocs. On-Premise Tools On-premise solutions allow necessary control over infrastructure, but they can be more expensive. These tools are deployed and run on the organization’s own IT systems and infrastructure. It is worth mentioning that Algodocs is a web-based tool; however, it can also be used On-premise. Examples: Kofax, OpenText, and Algodocs. Open-Source Tools Using and adapting open-source AI data extraction tools is more flexible and customizable, but implementing these tools requires technical skills. Examples: Tesseract OCR, OpenCV Mobile Apps Mobile applications usually reside on document capture and basic data mining capabilities. This is perfect for small data snippets or impromptu snapshots of information gathering. However, such tools may not work well when a large quantity of structured content, such as tables, is involved. Not to forget that handwriting style and layout complexities can cause the accuracy of such tools to drop. Examples: Google Lens or Microsoft Office Lens can scan your document and convert the text into a digital format. Making an Informed Decision Considering the following aspects and your organization’s requirements, you can choose the right AI data extraction tool for your organization. Feature Cloud-Based On-Premise Open-Source Mobile Apps Accuracy High High Varies Varies Speed High High Varies

handwritten notes extraction

Automate Handwritten Data Extraction to Word/Excel online

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Back to Blog Table of contents On this page Automate Handwritten Data Extraction to Word/Excel online Home › Blog › handwritten notes extraction › Automate Handwritten Data Extraction to Word/Excel online Categories handwritten notes extraction By Shubhankar Biswas Published October 13, 2025, 09:04 Updated July 20, 2026, 05:53 The Challenges of Manual Handwritten Data Entry It is high time we admit that working with handwritten information is not always as easy and pleasant as it may seem. Welcome to the digital era; unfortunately, paper forms, handwriting, and even scribbled invoices persist as business as usual. Imagine typing all that data into Word or Excel all over again—it epitomizes boredom for me. It takes time, creates more opportunities for mistakes, and, to be quite frank, is uninteresting. Whether you work in finance to handle invoices, sort out notes and other shopping bills and receipts, interpret patient forms in healthcare, or seek an editable form of lecture notes and summaries in education, manual data entry is a curse we all share. It’s not just time waste; human entry errors lead to questionable money and opportunity loss. But what if there was a different way? The only way to streamline this slow, tedious, and error-prone task is to save your precious time. Presenting AI-powered handwritten data extraction– the superhero that your workflow requires! The Power of AI-Based Handwritten Data Extraction Imagine a world where you no longer need to sort through those piles of papers—let the AI do the work. That’s how handwritten data extraction functions with the help of modern technologies such as artificial intelligence. It’s like having a secretary who specializes in deciphering handwritten notes and typing them clean on Word or Excel documents. But how does it work? In its simplest form, methods of handwriting text and data recognition using AI involve two key processes: OCR and artificial intelligence. OCR acts like vision, recognizing individual letters and symbols, while machine learning works to understand and interpret the textual input. This dynamic pair of tools powerfully converts complicated handwritten text into well-ordered and retrievable data. The benefits are undeniable. You will significantly reduce data entry time, almost eliminate human error, and make your team work on more meaningful tasks. Plus, the efficiency gains are massive—no more wasting hours on data entry, for example. This means you can direct those resources to other important business segments. One of the most promising tools in this realm is Algodocs—an easy-to-use AI-based software that operates on the web and makes the process of extracting handwritten data very efficient. But more on that later. Top AI-Powered Tools for Handwritten Data Extraction Now, let’s dive into AI-based extraction tools—tools that, trust me, make your life easier. There are many pretty good choices available, and some have specific areas of focus. Algodocs: Your AI-Powered Data Extraction Ally Algodocs is a great solution if you need a powerful tool that the majority of users can use with ease. This web-based platform uses the latest AI to decipher handwritten with high precision. Let’s break down what makes Algodocs so special: Forever Free Plan: Algodocs understands that not all businesses handle vast piles of papers daily, but no business is immune to paper jams. That is why they offer a lifetime free plan with up to 50 monthly pages. It is a brilliant opportunity to get acquainted with AI platforms for data extraction without spending too much money. Intuitive Interface: Algodocs is not complicated to use and does not require an IT expert to operate. This is why it features a user-friendly interface that allows anyone to easily upload documents, select the data they want to extract, and export documents and selected data. Accurate Extraction: When it comes to extracting different types of data, Algodocs impresses with its accuracy handling, as mentioned before, all data such as handwriting, tables, key-value pairs, marks, and signatures. Whether dealing with invoices, forms, bank statements, HR forms & payrolls, and many more, you will find Algodocs very useful. Seamless Integration: Do you need to get that extracted data into other business systems, such as your CRM or accounting software? Algodocs makes this easy through several integrations. For example, you can download extracted data in Word, Excel, JSON, XML, etc., or use the available API or Zapier to transfer the extracted data directly to the targeted business app. Data Security and Privacy: At Algodocs, data security and privacy are paramount concerns. They take proper measures to ensure that your valuable secrets remain safe and cannot be disclosed to other parties without your knowledge or consent by standard legal and ethical practices. They are ISO27001 (Information Security Management System) and ISO9001 (Quality Management System) certified and GDPR-ready. Other Notable AI-Powered Tools While Algodocs is a fantastic option, there are a couple of other players in the field worth mentioning: Nanonets: Although this platform only provides AI-based data extraction, it offers many features and services related to data extraction, such as the possibility of training a model according to the client’s needs for a specific project. Rossum: Focused solely on invoicing, Rossum employs artificial intelligence for data extraction as well as invoice validation. Choosing the Right AI-Powered Data Extraction Solution Choosing the right tool that harnesses the power of Artificial Intelligence in data extraction is critical to make the most out of your investment and align with your business objectives. So now it is a question of opportunity; this service type is versatile, and you need to define what kind of services you need the most and in what specific context. Accuracy: For handwritten or printed documents, the extraction of data must be done accurately. Look for tools with precise accuracy levels that can handle different kinds of data along with the document’s peculiarities. Speed: Everyone knows that time means money. You may also want to assess the tools based on how fast they process your documents, especially if you have to go through hundreds of papers. Cost: Timing and budget are always factors. The good news is that there are free, freemium, paid, and enterprise-level options for every

Data Extraction

The Ultimate FAQ: Mastering AI Data Extraction for Efficient Document Processing

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Back to Blog Table of contents On this page The Ultimate FAQ: Mastering AI Data Extraction for Efficient Document Processing Home › Blog › Data Extraction › The Ultimate FAQ: Mastering AI Data Extraction for Efficient Document Processing Categories Data Extraction Tags data extraction invoice process loan forms machine learning ocr api By Shubhankar Biswas Published October 12, 2025, 20:25 Updated July 20, 2026, 04:17 As technologies advance in this vast world, information is abundant around us. Data is everywhere: from invoices, bank statements, HR forms, sales orders, contracts, and social media to customer feedback. That brings the question, how can we handle this flood of information around us? This is where data extraction tools pops in. AI data extraction is like a smart digital assistant rummaging through piles of documents, emails, and images to pick out what you need. It’s like having employees working round the clock, with no strikes and no coffee break arguments. In its simplest form, AI data extraction uses machine learning and natural language processing to ‘think’ in a language just as you and I do. It uses this capability to recognize data like tables and handwritten and then extract information. Subsequently, it converts unstructured data into structured form that is easy to work with. But why is this so important? Data extraction can unravel the hidden riches embedded deep within your data. It is time-saving, error-free, and enables individuals to make the right decisions that may prove beneficial to any business. It identifies patterns, filters data, and transforms complex data structures into easily analyzable formats. How AI Data Extraction Works Data Extraction involves using complex technologies such as Optical Character Recognition (OCR), Natural Language Processing (NLP), and Computer Vision. OCR is the system’s eyes that read documents and images to input text. NLP understands text meaning and context, while Computer Vision interprets visual elements like table borders, brand names, warranties, signatures, etc. The process typically starts with data preprocessing, cleaning, and preparing the raw data for extraction. Then, AI-based models, such as Algodocs trained on vast amounts of data, swing into action. They identify patterns and extract relevant/required entities like names, dates, amounts, tables, marks, signatures, etc. Next, Algodocs allows users to export the extracted data directly into their software or structured formats like spreadsheets, XML, or JSON. It’s like teaching a computer to read, understand, and extract wanted/essential info, just like you would with a book or an article. AI data extraction tools like Algodocs handle massive data volumes in seconds or minutes instead of hours or days. Types of Data That Can Be Extracted with AI AI data extraction isn’t limited to just plain text on a page. It’s like a versatile detective, capable of uncovering clues hidden within various data types. First, there is textual data extraction. AI extracts pertinent textual data like names, addresses, and products from PDFs, screenshots, emails, and social media posts. It’s as if you have a secretary who summarizes the important parts of a large pile of documents. Then, numerical data extraction, such as table extraction, is performed. AI extracts prices, quantities, and dates from invoices and financial statements, even handling complex multipage tables. This includes everything from logos and warranty details to signatures, making it a valuable tool for finance, healthcare, manufacturing, etc. Lastly, AI data extraction can address the Wild West or relatively free-for-all environment of semi-structured and unstructured data. It uncovers unknown heroes in your data, whether stored in paperwork or digital formats. Besides, it is imperative to note that Algodocs is the leading AI platform for unlocking rich information from PDFs and images. We have no time for manual data entry anymore! You can easily export your data as Excel, Word, JSON, XML, etc. In addition, a powerful API is available to export extracted data to your apps directly. Furthermore, Zapier lets you connect 2,000+ other web services and set them up in minutes without coding. It also provides a forever-free plan where you can process up to 50 pages every month! Affordable plans are available if you need to process more pages. Use Cases for AI Data Extraction AI data extraction is no longer an idea – it has become an essential tool that is revolutionizing businesses in many industries. Let’s delve into some compelling use cases: Invoice Processing and Accounts Payable Automation: No more manually inputting data and dealing with piles of papers containing invoices. This can involve extracting meaningful information from invoices, such as the vendor details, the invoice number, and the items purchased, thereby saving you a lot of time and effort when it comes to your accounts payable. Experience the Algodocs feature for free, and start automating your invoices today! Streamlining Data Entry and Document Digitization: Irrespective of whether your company processes customer forms, HR records, or legal documents, AI data extraction can turn your data into digital assets in no time. Enhancing Customer Onboarding and KYC Processes: Institutional KYC (Know Your Customer) checks are essential for fraud prevention in financial institutions, but the paperwork can be cumbersome. AI data extraction can help collect client data from ID documents, accelerating the onboarding process and decreasing compliance issues. Contract Analysis and Legal Document Review: Legal documents generally exhibit complexity and require long reading and analysis times. Here, AI data extraction can help recognize keywords such as clause, date, and obligation, thus freeing professionals for more important matters. Empowering Market Research and Competitive Intelligence: Sometimes, data collection of market trends and competitors could be a challenge. AI data extraction can assist in data gathering and analysis. Revolutionizing Healthcare Data Extraction and Analysis: The healthcare industry is saturated with patient information, clinical documents, and trial results. From such documents, AI data extraction can extract useful information to aid in diagnosis and treatment and as a reference for research. Benefits of AI Data Extraction That is why it is necessary to discuss the potential advantages of AI data extraction, for which various application cases have been described above. It’s not just about fancy new technologies

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Why convert PDF to Word on MacBook (Mac)?

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Back to Blog Table of contents On this page Why convert PDF to Word on MacBook (Mac)? Home › Blog › Algodocs › Why convert PDF to Word on MacBook (Mac)? Categories Algodocs By Shubhankar Biswas Published October 12, 2025, 19:49 Updated July 20, 2026, 07:02 Picture this: You have a PDF file that needs to be revised or a scanned document that you wish to convert into an editable format like an MS Word document. Perhaps you have to work on a task and receive source files that cannot be changed and are saved in PDF or image format. Frustrating, right? That is when the miracles of converting PDF to Word come into existence. Yes, it is like taking your boring PDFs and probably turning them into lively and easily manageable Word docs. Converting PDFs to Word opens a new world of possibilities. Features include text editing, table editing or adding, and even the modification of images within the official document. Further, it creates the basis for exporting extracted data directly into other used tools like accounting ones so that everyone is in sync (metaphorically speaking!). Accessibility is another factor. Converting files from PDF to Word lets more people, including decision-makers, access the content. AI data extraction adds another layer of awesomeness to your PDF to Word conversion. You can pull out tables, key-value pairs, marks, figures, and even handwritten notes. Therefore, no matter whether you are a financer, a student, a worker in any data-driven field, or an ordinary user who is trying to simplify your digital life. We provide you with some tools that provide accurate results regardless of the device and OS used. As a case study, this article will discuss in detail how to convert PDF to Word on MacBook (Mac). This is where AI comes in and helps you take it up a notch. Built-in Mac Tools for PDF to Word Conversion Mac users, rejoice! You have a couple of tools integrated into your operating system. These tools effectively convert PDF to Word. First on the list is the Preview which is your go-to basic PDF viewer. This is not only a viewer for PDFs, you can also convert them to Word using it! Just launch the PDF in Preview, go up to the ‘File’ header, click on ‘Export,’ and select, ‘Word’ under the format. Boom, you’re done! Pages is next – it is a word processor developed by Apple Inc. PDF to Word conversion isn’t very popular. However, it’s a secret weapon in this area. The Open button brings you back to the menus. From there, go to ‘File,’ then ‘Open,’ and select the PDF you want. Pages will attempt to translate the PDF into editable Word format. But these built-in tools, may find it difficult to work with complicated PDFs and images. They certainly are not the best solution when trying to extract tables, handwritten, and processing multilanguage documents. To clarify, don’t think that you’re doomed to use these options for eternity; in the next sections, more sophisticated tools are presented. Free Online PDF to Word Converters Alright, okay, let’s assume you are interested in a quick-fix solution and you don’t want to download anything onto your computer. That is where free online PDF to Word converters come in helpful. Fortunately, there are many tools available today, all of which have their advantages and nuances. Some tools you can use are Smallpdf, PDF Candy, and Online2PDF. These tools let you upload your PDFs and a Word file for download format will be ready. It’s convenient and perfect for those one-off conversions. Still, free online converters are not without their perks. They might struggle with preserving complex formatting or handling large files. Plus, their data extraction capabilities can be limited. If you need to pull specific information from your PDF, like tables, key value pairs, or images, you might have to manually copying the wanted data. If you’re looking for more advanced data extraction capabilities, consider exploring AI-powered alternatives like Algodocs. This platform not only converts PDFs to Word but also intelligently extracts data like tables, handwriting, and key-value pairs. We’ll dive deeper into AI-powered solutions later in this guide. Paid PDF to Word Converter Software for Mac If you are looking to work with PDFs locally without accessing the Internet, purchasing PDF to Word conversion software will be useful. Such tools provide additional features like powerful editing and OCR data extraction. Adobe Acrobat Pro is the undisputed champion in the PDF world. It’s the best tool for PDF reading and editing. It offers a free trial to convert PDFs into Word format. Additionally, it comes with sophisticated OCR functions for importing and updating scanned PDFs. Well, Adobe Acrobat Pro is not the only way to make life easier; PDFelement and PDFpenPro offer similar features for an affordable price. The tools mentioned above work well for basic editing and conversion. However, they can’t handle multipage tables, handwritten, low-quality, or multi-language documents. If you’re looking for a solution beyond basic conversion, you might want to try AI-powered PDF to Word tools like Algodocs. They use artificial intelligence to improve precision, address complications with structure, and even specific data from your scanned files like PDFs and images. It feels like having a professional secretary for your document conversion needs. Unleashing the Power of AI Data Extraction for PDF Conversion Let’s face it—not all PDFs are the same. Some might contain only plain text, while others may contain lots of tables, figures, diagrams, handwriting, etc. Converting such files leads to formatting issues and lost data. That’s where the magic of AI data extraction comes in. But AI doesn’t stop there. It can even recognize handwritten text and extract data from the most complicated tables. Introducing Algodocs If you’re looking for a powerful AI-powered PDF conversion and data extraction solution, look no further than Algodocs. This web-based platform harnesses the latest technologies to deliver exceptional results. Algodocs can extract a wide range of data from your

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AI-Powered PDF to Word Conversion: A Complete Guide

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Back to Blog Table of contents On this page AI-Powered PDF to Word Conversion: A Complete Guide Home › Blog › PDF › AI-Powered PDF to Word Conversion: A Complete Guide Categories PDF Tags AI PDF to Word converter online algodocs best free PDF to Word converter Convert PDF file to word free free pdf to word converter PDF to word online By Shubhankar Biswas Published October 12, 2025, 19:22 Updated July 10, 2026, 09:46 Introduction to AI Data Extraction and PDF to Word Conversion Imagine turning static PDF documents into flexible, modifiable Word documents in a few seconds. The purpose of AI data extraction is beyond conversion; it’s about releasing the true strengths of your data. What takes place when that data is fixed in such an uneditable file? AI data extraction and the conversion of PDFs to Word documents represent an innovative technology that is changing our document interactions. Whether you’re an individual who likes to organize your spending, such as bills and receipts, a student compiling research, or a business professional analyzing reports, the ability to extract valuable information from printed documents, images, and scans is paramount. Traditionally, the conversion of a PDF to a Word document and the data extraction has been cumbersome and often results in inaccuracy. When people used manual copy-pasting or converted using traditional tools, formatting, missing tables, and disordered texts were experienced. However, the advancement of artificial intelligence technology has changed this situation entirely. Current AI technology uses improved OCR and natural language processing (NLP) to read and recognize text accurately, tabular, handwritten content, images, and other forms of data from low-quality and badly formatted PDFs. With AI data extraction, you can effortlessly transform static PDFs into dynamic, editable formats like Word, Excel, JSON, and XML while preserving the original formatting and layout. This unlocks a world of possibilities, from seamless collaboration and editing to in-depth data analysis and automation. In this article, we’ll explore the top AI-powered PDF to Word converters, the key features to look for, and showcase how Algodocs is leading the way in intelligent data extraction. Top AI-powered PDF to Word Converters with Data Extraction Capabilities Today, there is a huge demand in the AI PDF to Word conversion market, and every player is attempting to become ‘the best AI PDF to Word converter.’ Look closely at the key players that excel at conversion and smart data extraction. 1)   Adobe Acrobat Pro DC: The leading software in the market, Adobe Acrobat, has very robust AI that can convert PDFs to Word with considerable precision. Its top-performing OCR features to ensure that PDF conversions occur smoothly. It also makes it easier to extract forms, which is ideal for people who desire structured data results. Still, it comes with a considerable financial expense that may prove a thorny issue for starters. 2)   Wondershare PDFelement: Like Adobe, PDFelement stands out for its fairly clear interface and powerful AI options. Its OCR accuracy is strong, and it presents respectable data extraction tools. While it is cheaper than Adobe, using certain features requires additional purchases. 3)   Nitro Pro: Another winner is Nitro Pro, which demonstrates outstanding OCR capabilities and a perfectly organized interface. It can also convert PDFs to Word and retain the layout and formatting. The data extraction capabilities it provides with the help of AI algorithms are pretty impressive; however, in this aspect, it is slightly less endowed, as is Adobe or even PDFelement in terms of the variety of options available. 4)   Smallpdf: If you need a free online AI PDF to Word converter, Smallpdf is highly recommended. It is simple to use, supports a range of file formats, and supplies basic OCR functions. Still, the free version features restrictions on file size and ways to use it, and data extraction capabilities are limited. 5)   OnlineOCR.net: This tool is another free online option made exclusively for OCR and data extraction. Though its interface is not the latest design, it surprisingly performs well extracting text from scanned PDF formats. However, it lacks some advanced features and may not be the best choice for converting complex PDFs. Nonetheless, the tools discussed above perform poorly when dealing with tables, handwritten documents, key-value pairs, complex layouts, or multilingual documents. Key Features when Selecting AI-Powered PDF to Word Converter Here are some relatively crucial features to guarantee efficient and effective data extraction while evaluating an AI-powered PDF to Word converter. Here’s a breakdown of what to prioritize: OCR Technology: This is a significant feature of any good PDF converter and is called Optical Character Recognition. Search for tools that incorporate advanced OCR features that can precisely detect text, regardless of document type, such as scanned PDFs or complex designs. The converted Word document’s quality and the accuracy of extracted data will depend directly on the OCR engine. Table Recognition: In PDFs, tables are a usual approach used to present the data. A proper converter should be also able to identify and perfectly convert tables to maintain and follow their structure and format in the resultant Word output. It is especially going to be important for those who must analyze or manipulate data. Key value pairs (Form Field) Extraction: If you collaborate on PDFs that contain forms, extracting form field data is important. Find a converter that can pick out and collect form fields and their corresponding values for a seamless import of this data into either spreadsheets or databases. Data Output Formats: Think about the mediums in which you will share your extracted information. Tools such as Algodocs are capable of working with frequent formats like CSV, Excel, XML, Word, etc. Nonetheless, if you specifically need certain file formats or integrations with other applications, it’s important to confirm that the converter supports those options. Ease of Use: A user-friendly interface can lift your productivity considerably. Search for a converter that features a clear and user-friendly interface that makes it easy to upload, extract, update, and export data from PDFs. Additional Features: A few converters

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