Knowledge Extraction from PDFs into Airtable



Introduction to Airtable

Airtable is a flexible instrument that integrates the simplicity of a spreadsheet with the ability of a database, and has dramatically altered the panorama of collaborative work. With its distinctive performance and user-friendly interface, Airtable permits for extra easy group and administration of duties, crew collaboration, and knowledge monitoring, leading to improved effectivity and productiveness.

Primarily, Airtable presents a versatile platform for info administration, with a mix of spreadsheet-style cells, database capabilities, and Kanban boards. This combine permits people and groups to customise and adapt their workspace to their particular wants. It serves as a hub the place they’ll log, monitor, and analyze info starting from content material calendars, challenge plans, to buyer relationship administration (CRM) databases.

What’s Airtable good at?

One key function that stands out in Airtable is its highly effective relational database performance. This implies, in contrast to conventional spreadsheets, Airtable allows you to hyperlink associated content material throughout completely different tables. As an illustration, a advertising crew can join their social media calendar to their content material creation desk, thus offering a holistic view of their tasks, deadlines, and sources. This relational facet of Airtable breaks the boundaries of linear knowledge storage and introduces a multidimensional approach of dealing with knowledge.

Past its database capabilities, Airtable shines in challenge administration and crew collaboration. Groups can create shared bases for tasks the place updates and progress might be tracked real-time. With the flexibility so as to add attachments, lengthy textual content notes, checkboxes, and extra, Airtable serves as a wonderful instrument for speaking challenge necessities and monitoring progress. Additional, the customizable views—grid, calendar, gallery, or Kanban—present an adaptable method to visualizing the challenge’s standing, guaranteeing that each crew member has a transparent understanding of their duties and deadlines.

Airtable additionally features a highly effective automation function that takes repetitive duties off customers’ plates. For instance, you’ll be able to arrange a rule to robotically ship a notification when a brand new report is added or a specific subject is up to date. This implies challenge updates might be automated, decreasing handbook updates and the possibilities of human error.

Lastly, Airtable boasts a variety of integrations. It performs properly with quite a few different software program instruments, like Slack for crew communication, or Google Calendar for time administration, facilitating a seamless move of data between completely different platforms. This capacity to combine makes Airtable a handy hub for info, eliminating the necessity for fixed platform switching.

With the above options, Airtable caters to varied industries and customers. Freelancers and entrepreneurs leverage it for process administration and planning, whereas educators use it to arrange coursework or analysis. Nonprofits handle their donor databases, occasions, and volunteers on Airtable, and companies of all sizes deploy it for CRM, stock monitoring, and even HR operations.

Regardless of its big selection of functionalities, Airtable is commendable for its intuitive and user-friendly interface. The training curve is mild in comparison with different challenge administration or database instruments, making it accessible to folks with various tech-savviness. This facet provides to Airtable’s reputation, with many customers transitioning from conventional spreadsheets to this extra highly effective and versatile instrument.

In essence, Airtable empowers its customers to design their organizational workflows in a approach that most accurately fits their particular necessities. From customizable fields and views to automation and integration, Airtable presents a dynamic, adaptable, and collaborative platform, remodeling how folks handle and work together with knowledge.

Whereas Airtable excels at offering a versatile workspace, one problem that customers usually encounter is extracting knowledge from PDFs into Airtable. The issue originates from the truth that PDFs, by nature, are designed for viewing, not for enhancing or extracting info. PDFs can comprise a mixture of textual content, photos, tables, and graphics, which additional complicate knowledge extraction. Furthermore, if the PDF is scanned or has handwritten content material, it turns into much more difficult to parse and extract knowledge precisely.

Transferring knowledge from PDFs to Airtable usually requires handbook knowledge entry, which might be time-consuming and liable to errors. Though Airtable offers numerous integrations, it would not have a built-in mechanism to deal with knowledge extraction from PDFs instantly. In consequence, customers could have to repeat and paste knowledge manually or depend on third-party instruments to transform the PDF to a extra manageable format earlier than importing it to Airtable. This complexity may cause a bottleneck in workflows, affecting productiveness and effectivity, particularly when coping with massive volumes of PDF knowledge.

Nanonets : Bridging the Hole Between PDFs and Airtable

Enter Nanonets OCR, an clever knowledge extraction instrument designed to beat the challenges of PDF knowledge extraction. Nanonets makes use of superior OCR (Optical Character Recognition) expertise to transform various kinds of paperwork, together with advanced and scanned PDFs, into editable and searchable knowledge.

What units Nanonets aside is its seamless integration with Airtable. As soon as linked to an Airtable account, Nanonets can extract knowledge from PDFs and instantly populate the extracted knowledge into Airtable tables. This function eliminates the tedious strategy of handbook knowledge entry, permitting for the creation of automated doc workflows.

With Nanonets OCR, the information extraction course of turns into easy. It may deal with quite a lot of PDF contents, from textual content blocks to tables, even when they’re positioned in several components of the doc. Nanonets’ OCR engine has been skilled on an enormous quantity of knowledge, guaranteeing it will possibly precisely acknowledge and extract info even from advanced or low-quality PDFs.

Moreover, Nanonets OCR not solely extracts the information but additionally buildings it in line with your wants. Because of this the information might be formatted and arranged to suit into your Airtable base construction seamlessly. And, as soon as the information is in Airtable, you’ll be able to leverage all of the highly effective functionalities of Airtable, like sorting, filtering, linking information, automations, and extra.

By combining the powers of Nanonets OCR and Airtable, customers can create a streamlined and automatic workflow. This integration can save vital effort and time, cut back errors related to handbook knowledge entry, and improve general effectivity. In a world that’s more and more data-driven, instruments like Nanonets OCR will not be only a comfort, however a necessity for successfully managing knowledge extraction and group.

Check out this demo to see the Nanonets Airtable Integration in motion.

These are some examples of how one can use the Nanonets Airtable Integration to create automated doc workflows.

Let’s think about a typical use-case of bill processing. An organization receives a number of invoices in PDF format from numerous distributors. Utilizing the Nanonets-Airtable integration, you’ll be able to automate this course of.

First, add your invoices to Nanonets. Their OCR instrument scans and extracts key info from the invoices, similar to vendor identify, bill quantity, date, merchandise particulars, and quantities. The information extracted is robotically structured in line with the pre-defined fields set in Nanonets, which might be custom-made to match the columns in your Airtable base.

As soon as extraction is full, Nanonets sends this knowledge on to your Airtable base by way of its API. Every bill is represented as a report in Airtable, with corresponding knowledge crammed in respective fields. This automation drastically reduces handbook knowledge entry and accelerates bill processing.

  • Fetch Knowledge from Airtable:

Suppose you’re operating a buyer assist operation, and also you obtain a assist ticket in PDF kind. The ticket accommodates the client’s identify, and also you wish to fetch their earlier assist historical past out of your Airtable base.

Add the ticket to Nanonets, and the OCR instrument extracts the client’s identify. Then, Nanonets can use this extracted identify to fetch knowledge out of your Airtable base. Utilizing the Airtable API, Nanonets sends a request to retrieve information from the “Buyer Assist” desk the place the “Buyer Title” subject matches the extracted identify.

The result’s an inventory of previous tickets from the identical buyer, permitting your assist crew to deal with the brand new ticket with full context and historical past, enhancing the client assist expertise.

  • Lookup Knowledge from Airtable:

Think about you’re managing an occasion, and also you obtain an inventory of attendees in PDF format. You wish to cross-check this checklist along with your visitor database in Airtable to confirm their registration standing.

First, add the PDF checklist to Nanonets. It extracts the names of the attendees utilizing its OCR instrument. Then, Nanonets makes use of these names to carry out a lookup in your Airtable “Visitor Database” desk.

For every identify, a request is shipped to the Airtable API to discover a matching report within the “Visitor Database” desk. If a match is discovered, it means the attendee is registered, and you may replace the “Registration Standing” subject accordingly. If no match is discovered, you’ll be able to flag the attendee for additional verification.

This workflow automates the time-consuming process of handbook cross-verification, guaranteeing environment friendly and correct occasion administration.


As we navigate in direction of an more and more data-driven world, the significance of environment friendly and correct knowledge administration can’t be overstated. Airtable has emerged as a robust instrument, revolutionizing how we deal with and work together with knowledge. Nevertheless, one stumbling block has been the extraction of knowledge from PDFs instantly into Airtable—a process that may be tedious, error-prone, and time-consuming.

The answer comes within the type of Nanonets, an clever knowledge extraction instrument that makes use of superior OCR expertise to transform advanced and scanned PDFs into editable and searchable knowledge. Its seamless integration with Airtable transforms this as soon as laborious process into a simple course of, creating automated workflows that improve productiveness and accuracy.

By enabling customers to ship, fetch, and lookup knowledge from Airtable, Nanonets considerably reduces handbook knowledge entry, saving beneficial time and sources. The synergy of those two platforms streamlines knowledge extraction and group, permitting companies to focus extra on knowledge evaluation and decision-making fairly than knowledge enter. In abstract, the mix of Nanonets and Airtable presents an progressive, environment friendly, and efficient resolution for managing knowledge extraction from PDFs, making it a robust asset for any data-driven operation.