Recognize text in PDF and convert it to Excel or ERP - Business data automation

Data automation in SMEs

Organizations of all sizes are inundated with vast amounts of data.

These include various unstructured data formats (data that cannot be stored in a structured database format), such as data from received invoices, guides and forms, emails, texts, images, etc.

It has recently been estimated that 80% of this new data is unstructured, making it difficult to capture, quantify, process and store.

The current solution for most SMEs is manual data entry.

It is increasingly crucial for companies to find efficient and cost-effective ways to process this unstructured data.

Because?

Because data is a valuable business asset that often needs to be mobilized across various levels within organizations and is an integral part of decision making.

Therefore, for businesses to thrive in a data-driven environment, data automation is necessary.

What is data automation?

Also known as automating source data, it is the process of using technology to automatically collect, process and manage data, reducing the need for manual intervention while improving data accuracy.

A key aspect of this process is the ability to recognize text in PDF and convert it to Excel or ERP, making it easier to manage and analyze the data.

Constant manual data preparation and processing is a hurdle for businesses as it consumes a considerable amount of time and is prone to costly human errors.

Automating data takes on this burden, allowing your staff to analyze the data and make the right business decisions.

This way, you can reduce your overall costs and free your staff from monotonous data processing tasks.

Technologies that enable automation of source data typically include artificial intelligence, OCR, machine learning, and computer vision in software form.

So how does automating data at the source with software work? For example, how can I recognize text in pdf to Excel or an ERP?

Data automation steps

There are several software solutions that help companies automate data processing tasks.

Data Capture: recognize text in PDF to Excel or ERP

Data capture allows companies to extract unstructured data from any type of document or image (paper or electronic) using OCR and computer vision, such as recognizing text in PDF to Excel or ERP.

Data processing

Data processing allows companies to convert data from one format to another after the data has been successfully captured.

Let's say you have a PDF file but you need the information structured in an Excel or ERP file, this is where data parsing comes into play.

Automate Data Entry

Since data automation software can be used to capture and analyze data, there is no need for your company's workers to manually enter data into any type of system or database.

Unstructured data can be converted into business-ready data and automatically stored in company records.

Data validation

Some document and data automation software uses sophisticated AI algorithms to validate data.

For example, they verify the authenticity of a document using data analysis, cross-checking data with multiple databases, or performing data reconciliation.

Anonymize your business data

As many organizations handle sensitive data, it is important to consider using an automation solution that can automatically mask sensitive data and data fields for regulatory compliance.

Why you should use data automation

There are several reasons why companies have started adopting AI technologies to automate their business processes, including processing data to recognize text in pdf to Excel or ERP. These benefits include:

Reduced processing time

By automating data collection, processing, and analysis, your businesses can eliminate the need to manually enter and manipulate data.

These tasks used to take hours or days, but with automation, they can now be completed in a matter of minutes or seconds.

Lower overhead costs

By automating repetitive data-related tasks, you can reduce your reliance on manual labor and, therefore, reduce employee salaries and benefits.

Additionally, data automation can help identify inefficiencies in existing workflows, allowing companies to streamline their operations and reduce unnecessary expenses.

Improving data quality

With data automations such as recognizing PDF text in Excel or ERP, you can reduce the risk of human error and improve data accuracy and consistency.

Automated data systems can also identify and correct errors in real time, ensuring that the data used for decision making is accurate and up-to-date.

Data processing scalability

Automated data systems can also identify and correct errors in real time, ensuring that the data used for decision making is accurate and up-to-date.

Imagine processing thousands of documents and recognizing text in images or PDF to Excel or ERP

Additionally, you can avoid all the costs and delays that would occur by scaling manual data processing workflows.

Use cases

Below we list the most common examples of data automation (note that the list is not exhaustive):

Automated processing of received invoices

With data automation, companies can automate the extraction of data from received invoices and consumption tickets, to reduce the manual effort required for processing by recognizing text in images or PDF to Excel or ERP.

Automation of item data in delivery notes or receipt guides

By recognizing text and tables from images or PDF to Excel or ERP, delivery or receiving item lists can be processed, including item description and reference, as well as unit prices, quantities and amounts.

This way you can manage margins and inventory control, avoiding time and manual errors directly from the software application, Excel or in your ERP.

Digital onboarding of suppliers and customers

Data automation software can significantly streamline the customer or supplier onboarding process for businesses.

By automating various steps in the process, such as data entry, verification, and validation, companies can reduce manual effort, minimize errors, and speed up the overall onboarding process.

Document Classification

OCR technology can be used to classify documents by type, making it easier to organize data and find specific information.

Extracting data from images or PDF to Excel or ERP

Companies can extract data from PDF files and transfer it directly to Excel sheets or ERP systems, from received invoices, delivery notes, guides, work or production reports, work reports, forms and much more.

Convert image to text

Businesses can automatically extract text from images and convert it into editable digital text. It allows businesses to quickly process large volumes of image-based data and convert it into a text format such as an Excel file.

Document fraud detection

AI algorithms can be used to analyze large volumes of data, identify patterns, and recognize alterations in metadata that may indicate fraudulent activity.

The next step would be to find the right data automation software that fits your data processing workflows.

The best data automation software

We know that finding the right solution can be a challenge. To help you, we have put together a list of the best data automation software available in 2023.

Dijit.app for data automation and recognizing text in images or in PDF to Excel or ERP

Dijit.app is OpenAI's AI-powered OCR software for data automation that helps businesses automate document-related workflows with speed and accuracy.

With Dijit.app, you can extract, sort, convert and verify data from images, texts, PDFs and many other types of files.

This sophisticated data automation engine using various AI technologies can be easily integrated into your existing software solutions via API or mobile applications via SDK.

It is best used in the construction, hospitality, accounting, finance, retail, logistics and transportation, software, legal and many other sectors.

Dijit.app to control expenses and margins

Dijit.app is an all-in-one financial management solution that helps businesses simplify invoice processing and expense management by automating data.

With Dijit.app you can forget about manual data entry and the inefficient approval flow within your company's accounts payable process.

This sophisticated data management platform allows you to easily extract data from invoices and receipts by submitting them via the web or a mobile app.

Additionally, you can sync data with your accounting system or ERP software to streamline accounting processes.

It is a perfect data automation tool for any organization with a finance department.

Start data automation with Dijit.app

Data is the new oil that drives business growth. Data is integral to various organizations as it is used in many business decisions.

This is why you should rethink your data processing strategy if you are not already using data automation systems.

This is how Dijit.app can help you kick-start your data automation journey like recognizing text from images or in PDF to Excel or your ERP.

Our proprietary, AI-powered OCR software recognizes PDF text and converts it to searchable text in any desired data format (CSV, JSON, XLSX, XML), including Excel and ERP systems.

It's as simple as taking a photo with a smartphone or dragging a PDF and sending them to our software; Dijit.app will do the rest!

This way, you will never again have to manually copy data, enter it into your existing software system, or waste time searching for information in documents.

The best thing is that your data is processed securely with Dijit.app and is not stored on any of our servers, ensuring data integrity.

You can start data automation with Dijit.app by booking a demo using the form below. If you need more information, do not hesitate to contact one of our experts.