How to Extract PDF to Oracle Without Coding

Last Updated: March 8, 2024
PDF to Oracle

Table of Contents

Easily Extract Data From PDFs

Automate manual data entry tasks with Docparser

No credit card required

Many businesses use Oracle solutions to store and manage databases. But here’s where a problem may arise: how do you move data trapped in documents into your Oracle database in the first place?

Whether you need to process invoices, financial reports, HR records, or any other document, the process of extracting PDF to Oracle traditionally involves complex programming efforts. Luckily, there’s a much more simple and efficient solution at your fingertips: document parsing. In this blog post, we will show you how you can use Docparser to extract PDF to Oracle without needing any programming skills.

Extract Recurring PDFs to Your Oracle Database

Extract data from incoming documents in minutes. Automate data entry to save time, lower costs, and streamline your workflows.

No credit card required. 

How to Extract PDF to Oracle Using Docparser

Docparser is a no-code document parser used by businesses and organizations to extract data from documents—most notably PDFs—and send it to their systems. By using Docparser, you will automate data entry, prevent human error, and streamline your document-based workflows.

To extract PDF to Oracle with Docparser, follow these steps:

1. Create a Parser

To get started, sign up for a free Docparser account. Once you do, Docparser will take you to the Template Library page where you can find templates for different use cases.

docparser template library

Choose one of the categories listed if it matches your document. Otherwise, you can create a blank template by clicking on ‘Start with a Blank Template’. After that, type a name for your Parser.

2. Upload a sample PDF

Next, you need to upload at least one sample PDF to Docparser. You can drag and drop your file, upload it from your local disk, send it by email, or use our REST API.

Upload Documents

After your PDF is uploaded, click on ‘Continue’ to move to the following step.

3. Create parsing rules

To extract a data field, you need to create a parsing rule that can identify it within your document. So you are going to build a set of parsing rules for all the data fields you need to extract.

Create a rule to extract text from the PDF

Let’s start with a simple example. We have uploaded an equipment allocation report and we want to extract the reporting period. To do that, select the rule ‘Text Fixed Position’ from the options suggested, as seen on the screenshot below:

Docparser Data Parsing Rules

You will enter the rule editor where you can outline the data you want to extract. Use your mouse to draw a selection box around the data like this:

Parsing Rule - Reporting Period

Click on ‘Confirm’ and you will see a preview of the parsed data:

Reporting Period - Parsed Data

You can add a text filter to further refine the parsing results when needed. Depending on how much you want to clean up or even format the parsed data, you can chain up multiple filters until you get the perfect result you’re looking for.

For this data field, no text filter is needed. Be sure to give a name to your parsing rule by typing it in the name field to the left. In this case, we named this rule ‘Reporting Period’. After that, scroll down and click on the button ‘Save Parsing Rule’.

Okay, so now you can add another parsing rule, and so on. To add a rule, click on the blue button that says ‘Add Parsing Rule’, right below the name of this parsing rule—as seen in the screenshot before the previous one.

Create a rule to extract a table from the PDF

The data field we want to extract now is the summary of equipment allocation, which is a table. So select the rule ‘Table Data’.

In the parsing rule editor, you’re going to select the table in the PDF. Like with the previous rule, you have to draw a selection box with your mouse, but this time column separators are added to the mix. You can move these separators and add more by clicking on the + icons at the left and right.

PDF to Oracle - Extract Table

Click on ‘Confirm’ and check the parsing results. Here, the second lines in the cells were parsed as separate rows, so we want to fix that. This is very easy; all it takes is one table filter.

Equipment Allocation Summary Raw Data

Scroll down a bit and click on the button ‘Add a Table Filter’. In the dropdown list that appears, move your cursor to ‘Add, Remove & Merge Rows’ then select the option ‘Group & Merge Rows’.

Group & Merge Rows

The setting for this filter will appear. In the first dropdown list, select ‘Define Rules’. Now, you want to set where a group of rows starts and ends. One easy way to do this is by merging a row with the previous one whenever the former has empty cells. This will work because in the PDF, the table has no empty cells. So select the dropdown options as shown in this screenshot:

Oracle to PDF - Parsed Table

See? The parsed data is now perfectly accurate.

Don’t forget to type a descriptive name for this parsing rule. Here, we’re naming it ‘Summary of Equipment Allocation’, just like in the PDF. Save it and go back to the list of parsing rules.

Create parsing rules for the other data fields

Now you can create other parsing rules for the remaining data fields. In the mockup document we used for this guide, these data fields include:

  • Project name
  • Project ID
  • Client name
  • Remarks and additional information
  • Etc.

After building a complete set of parsing rules and making sure that all the relevant data fields can be extracted accurately, you can move on to the last step.

4. Export to Oracle

Lastly, you need to set up an integration with Oracle. To do that, go to the Integrations section in the left-hand panel and click on the button ‘Add New Integration’.

Create a webhook

A webhook is an automatic transfer of data from one location to another. That transfer takes place via an HTTP request that is sent to a web address, in other words a URL endpoint. So here, you are going to create a webhook to send newly parsed data from Docparser to your Oracle database, effectively automating the process of moving data from your PDFs to Oracle.

Under the Outbound Integrations dropdown menu, scroll down to ‘Custom Integrations’ and select ‘Simple Webhook’.

Custom Outbound Integrations

In the setup screen, type a name for the webhook, choose a payload format (like JSON), and paste the target URL where you want parsed data to go.

Create a Simple Webhook

When you’re done with the setup, click on ‘Save and Test’. Go to the URL endpoint and verify that the parsed data did arrive there without issues. That’s it!

Alternatively, you can also simply download your parsed data in the Downloads section. Go there, select the file format you want, and you will get a download link. You can then import your file into your Oracle database. Go with the option that makes most sense for you!

P.S. Want to have your Parser built for you? Request our Parsing Assistant service and our team will take care of the entire setup process in your stead.

Extract Recurring PDFs to Your Oracle Database

Extract data from incoming documents in minutes. Automate data entry to save time, lower costs, and streamline your workflows.

No credit card required. 

Why You Should Extract PDF to Oracle

The traditional approach of manual data entry requires a lot of tedious work and is highly error-prone. Moreover, when dealing with large numbers of PDFs on a regular basis, manual processing is no longer practical, so you will have to use a tool that allows you to extract data from PDFs to Oracle smoothly and without mistakes.

Granted, you could have a developer create a script to parse your PDFs, but this requires technical expertise and can be costly. And while Oracle offers database import tools, like SQL*Loader, using them without a proper intermediary parsing step can be complex, and they may or may not be well suited for handling PDF data directly.

On the other hand, using a tool like Docparser will give you several advantages:

Data entry automation

By automating data entry, you will reduce the risk of data entry errors, ensure that data is well structured and seamlessly integrated into your Oracle database, and also save a massive amount of time and resources. Just think about the recurring documents that you (or somebody in your company) needs to process routinely to populate Oracle databases:

  • Invoices and purchase orders: you may have to extract information such as invoice numbers, line items, quantities, and prices to an Oracle database for accounting or inventory management purposes.
  • Customer forms: customers often submit forms (like account registrations, subscription forms, feedback forms, etc.) that an employee receives in PDF format and needs to enter into an Oracle database.
  • Financial reports: extract data from balance sheets, income statements, or financial statements for analysis and reporting within an Oracle database.
  • HR documents: streamline HR processes by extracting data such as resumes, applications, payroll information, etc.
  • Etc.

Automating data entry solves the two major issues of time and data accuracy, and that makes it the logical choice for any business looking to modernize its data management processes.

Better data consistency and structure

By extracting PDF documents to data that is sent to your Oracle database, you will maintain data consistency and structure. Suboptimal data import tools may mishandle or misinterpret data, leading to disorganized or inconsistent records. Converting PDFs ensures that data is structured correctly, with the right data points in the right fields, thus ensuring the integrity of your database.

Compliance and error-free record keeping

In industries with strict regulatory requirements, like healthcare and finance, businesses must keep detailed and accurate records. So using the right tool to extract data from documents is essential for compliance. You don’t want to rely on a tool with inconsistent accuracy, otherwise you will face issues from fines to loss of customer trust, audits, investigations, and losing business opportunities.

Even worse, inaccurate information can endanger human lives. For instance, in the healthcare industry, incorrect information can lead to misdiagnosis and inadequate treatments, thus jeopardizing patient safety.

Improved reporting and business intelligence

Oracle databases are often used to support reporting and business intelligence tools—both of which require accurate and timely data. When the data needed for this is trapped in documents, your best bet is to extract it using a reliable document parser. Once error-free data is sent to Oracle, employees can analyze it and create more meaningful reports and dashboards for decision-makers.

Extract Recurring PDFs to Your Oracle Database

Extract data from incoming documents in minutes. Automate data entry to save time, lower costs, and streamline your workflows.

No credit card required. 

Why Choose Docparser?

Okay, so let’s say you want to try a PDF parser. Sure enough, there are multiple tools you can find online. So it’s only fair to ask why you should choose Docparser. Well, there are several reasons why we’re confident that Docparser can be a great fit for your data extraction needs:

No coding or installing required

You don’t need to have a developer code a parser from scratch or use a parser that requires technical knowledge. Docparser is built for non-technical users, meaning that anyone in your organization can start using it within the same day to extract the data they need from documents. Furthermore, as a cloud-based application, Docparser requires no installation and is accessible from any web browser.

Built-in OCR engine

Docparser uses Optical Character Recognition, or OCR, to identify and extract data from both scanned and digital documents alike. So even if your PDF is a scanned paper document, you will get all the data fields you want in machine-readable and structured format. Furthermore, you’re not limited to the PDF format—you can also process image files (JPG, PNG, and TIFF) as well as Word documents.

Use our template library for different use cases

Docparser has a large template library that makes it even easier to build your document parser. Our library includes templates for various:

  • Industries: accounting and bookkeeping, eCommerce, logistics and warehousing, etc.
  • Document categories: bank statements, fillable PDF forms, invoices, etc.

These templates include pre-set parsing rules for relevant data fields. If your recurring documents don’t match the template categories, just create a blank template and build your custom parser. Plus, we can even set up your PDF parser for you with our Parsing Assistant service.

Thousands of integration options

Docparser seamlessly integrates into your data workflows in order to automate the transfer of data from PDFs to your Oracle database. By using an outbound integration as shown previously, you won’t have to import data into your database manually.

Beyond just Oracle, our integration partners—namely Zapier, Microsoft Power Automate, Workato, Make, and Claris Connect—allow users to connect their Docparser accounts to thousands of cloud applications. You can also create custom webhooks to send parsed data to any HTTP(S) endpoint in real time.

Trusted by major organizations

Hundreds of organizations use Docparser every day to process documents efficiently, including those containing sensitive information. Among them are large organizations such as Adobe, NBC Universal, and NBA. They chose Docparser because of how user-friendly, reliable, and secure it is. Security in particular is a core priority for us and we take all necessary measures to ensure data privacy and security at all times.

World-class support

Our Customer Happiness team is always available and will address your requests, troubleshoot any issues, and even build parsers for you. In fact, our quality of support is rated 9.1 on G2 (as of 2023). Customers have often praised the responsiveness of our team, its technical expertise, and ability to assist with the setup process for any kind of document. 

Training and support

Get Started Today

Oracle is a robust, secure, and feature-rich solution for database management. However, moving information from documents to an Oracle database can be a challenge. Instead of settling for manual data entry (not possible in many cases), or having to code a parsing tool from scratch, you can simply use a document parser to extract data locked in PDFs to your database on your own, without the need for coding.

Using a document parser to extract PDF to Oracle is far more simple and quick than developing a parser from scratch or using a data import tool with limited capabilities.

Extract Recurring PDFs to Your Oracle Database

Extract data from incoming documents in minutes. Automate data entry to save time, lower costs, and streamline your workflows.

No credit card required. 

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