How to extract data from semi-structured tables

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The future of data capture systems: The Rossum approach

In this blog, we unfold how Rossum represents a radically different approach to the whole problem of information extraction from business documents and tables.

Extract table from an image

Sophisticated data capture software enables organizations to save time and avoid manual processing of data from image files. It is important for many organizations to process data from various formats regularly, such as invoices, shipping documents, customs documents, and other paperwork that may or may not be digital or in a standard format. Acquiring and utilizing the correct data capture software can be greatly beneficial to operations. With accurate and adaptable data capture technology, teams can save time, human power, and money while retaining accuracy in records. Accounts payable teams that receive invoices in a wide range of formats, both digital and paper, can avoid strenuous and tedious manual processing. These teams can ensure that invoices are properly recorded, tracked, and paid on time. 

Teams like accounts payable (AP) teams must frequently keep track of data from invoices which can come in nearly any format, on paper or digitally. Being able to automatically extract relevant data from image files like .JPG or .PNG can be crucial. It can enable them to avoid the time-consuming process of manually reviewing and recording each file. Being able to use software that acts as an image to excel converter online can help save time and money. 

Through accurate data capture, organizations can minimize the chance of human error while recording data. In accounts payable, human error can be costly, leading to overpaying or late payments. Being able to accurately extract a table from images in the correct format can be a great asset to these teams. What’s more, some invoices may be handwritten. For traditional OCR (optical character recognition) software, handwritten invoices can be a challenge. However, finding cloud-deployable software that can act as a handwritten to excel converter online can combat this challenge. The secret is through AI data capture technology. AI can capture data with greater accuracy and flexibility than traditional OCR (optical character recognition) technology. 

Extract table from image online

Being able to access AI-driven data extraction technology online is a huge benefit to organizations that must process a variety of document types, including paper and image-based data. Being able to extract a table from an image file is important to organizations looking to save human power and time while retaining accurate records for everything from logistics to AP. 

Table extraction can be a complex process. While manual table extraction, at one time, was the only way to do so accurately, AI can now help organizations in the process. Traditional table OCR (optical character recognition) had limitations, including a lack of flexibility, while AI learning can handle a large number of document types and formats. AI software, available through platforms such as Rossum, enables organizations to extract tables from images online through cloud-deployed management software. Since documents vital to operation can be received in a variety of formats, including image files, this ability can be crucial to operations. By enabling AP and logistics teams to extract a table from images online through AI software, organizations can save time and money. 

Extract table from JPG

.JPG, sometimes called .JPEG, is a commonly used compressed image file format. JPG images can be rather small and are commonly used to send images. For accounts payable teams who have received invoices or other documents in the form of a JPG image, it can be important for them to be able to extract a table from a JPG. Being able to extract tables from images is important to organizations that receive a high volume of important documents in image formats. AI software that extracts relevant data from these images in the form of tables helps teams save human power and time. This also ensures that they’re accurately recording important data. 

OCR, or optical character recognition, has come a long way since its inception. AI software can glean data from a range of formats without the need for constraining rules and templates. Traditional OCR software relied heavily on set rules and templates in order to gather the same data. This made OCR table extraction a finicky process, requiring heavy oversight. AI, which can “understand” the data that it’s extracting, on the other hand, can determine if data “makes sense,”. This eliminates the need for many of the same constraints that bogged down traditional OCR software. 

Extract text from image online

One important difference between documents that contain text and image files is that documents with file extensions like .DOC, .RTF, .TXT, and .ODT actually contain digital text. This text can be copied and pasted, and can also be zoomed in on. Image files, like .JPG or .PNG, on the other hand, do not digitally contain text. 

While to the human eye, an image of a document with text in it may look nearly identical to a .DOC of the same document, an image is simply a set arrangement of pixels. If one were to zoom in on the image, it would become increasingly pixelated, while if one were to zoom into a .DOC, the text would remain clear. 

This can be an important distinction for teams receiving documents in image files that must be converted into a format that contains digital text. Doing so manually can be time-consuming and expensive, and the process lends itself to the possibility of human error. 

For AP teams, human error can be costly. Being able to extract text from images online can be important to teams processing documents that are image files. Especially if able to be used with common search engines. Being able to extract text from image google, for instance, can be quite useful. Traditional table OCR also runs the possibility of machine error, as traditional OCR simply takes into account visual similarities between pixels and characters and cannot determine if something “makes sense.” Conversely, AI software from platforms such as Rossum can make these important distinctions enabling data extraction with far less oversight required. This enables teams to copy text from images relatively seamlessly. 

Best image to Excel converter

Microsoft Excel is one of the highly popular and commonly used spreadsheet software, used by many organizations to organize and store data related to operations. Being able to glean data from various formats and convert said data into excel spreadsheets is important for many businesses and organizations. 

Table extraction through software enables teams to save human power and time while keeping data found in images and other formats organized and tracked. It takes generating tables in the correct format in order to extract tables from images to excel. To do that, software needs to be able to generate tables in a file format that Excel can open, like .CSV files. Being able to extract tables from an image to CSV enables teams to utilize data in an image file properly. OCR software is sometimes built using Python, and table detection Python can be useful for AP teams and other teams requiring the ability to detect tables from images. 

Since using traditional OCR to glean data from images can require hefty manual oversight, finding the best image to excel converter may be a matter of finding AI-powered OCR technology available from platforms like Rossum.ai. Aside from having to convert images to an excel app, teams may also be using other software such as MS Word, and need to convert images to tables in Word. 

Extract table from PDF

PDF is a commonly used file format in business. Some organizations may require data that are received in PDF format to be stored and used in a different format. Being able to extract tables from PDF can be vital to teams, such as accounts payable teams. Just as is the case with extracting tables from images, extracting tables from PDF files at a large scale might require OCR technology that can adapt to various formats through AI learning. In order to properly track documents like invoices, being able to extract tables from a PDF can be crucial to AP teams. Similarly, being able to extract tables from images can be crucial to the same teams. 

Being able to manage invoices and other documents online is another advantage, especially to teams using operating systems like Linux. Some teams may need to extract tables from PDF Linux. Using cloud-deployed management, like that offered by Rossum can be greatly beneficial to such teams. 

A great benefit of software that’s cloud accessible is that it can be used through browsers on nearly any operating system as long as they have internet access and a browser. Whether a team needs to extract tables from PDF to Excel or extract tables from PDF to Word, they can do so using software that’s cloud deployable regardless of their operating system using cloud-deployed AI OCR technology. 

Extract data from image online

Online accessibility has become more important than ever in an increasingly digital remote and online business world. Some teams may be using Python to build OCR software, enabling them to extract data from image Python. With various teams and organizations using different operating systems and software suites, being able to easily convert and transfer important documents has become crucial for operations. Being able to extract data from images online, or extract data from graph images online might be important for accounts processing teams who track invoices. Take the example of an accounts payable team using Excel to track, manage, and pay invoices. This AP team is supplied with invoices via image files, and they’re using Linux. It might be necessary for them to utilize online software to extract data from images to excel online.

Another example is a logistics team that must generate spreadsheets with relevant shipping data from an image of a graph. This team might need an online software capable of extracting data from graph images online. Cloud-accessible AI-powered data extraction technology like Rossum can help teams in these types of situations, saving not only time but human power and money as well. 

Layout independent AI data extraction

Parse business documents to data using a rich cloud API. Because when every table looks different, a simple regex won’t cut it, but deep learning will.