PDFFlex automates extraction & validation for complex PDFs
NE2NE has announced the release of PDFFlex, an AI-supported tool designed to extract data from even the most complex PDF documents with increased efficiency and accuracy.
The company's latest offering aims to address ongoing challenges faced by organisations when handling PDF files containing intricate layouts, embedded tables, and scanned images. Traditional approaches often fall short when attempting to convert data from such documents, resulting in companies relying on manual data entry that can be both slow and prone to error.
PDFFlex combines advanced parsing engines, machine learning-driven recognition, and schema-aware extraction to transform irregular documents into structured formats such as Excel, XML, or JSON. The technology also features an integrated validation layer. Extracted data undergoes automatic cross-checking against business rules and integrity constraints, with any anomalies prompting immediate alerts by email or SMS so that any issues can be rapidly addressed. Activity logs provide an audit trail, supporting compliance and broader data governance needs.
Persistent challenge
PDF files continue to pose a significant problem in data pipelines due to their widespread use and variable structure. PDF's popularity as a file format is attributed to its ability to preserve document appearance across platforms, coupled with features like password protection. However, for industries such as legal services and human resources that frequently manage wage and hour audits or payroll registers, extracting data from complex, table-rich PDFs has traditionally involved considerable manual effort.
Automated solutions such as PDFFlex seek to reduce this burden. According to NE2NE, tasks that previously took hours can now be completed within minutes, enabling resources to be allocated more effectively elsewhere within the organisation.
Company perspectives
"PDFs can be wonderfully useful in crushing language, information and images into flat files that can be shared across platforms. Unfortunately, the same can't always be said about the data in them, which is why we've launched PDFFlex, the new gold standard for data extraction for companies tired of wasting time and money on manual entry," explained NE2NE Founder & CEO Steven Pappadakes. "PDFFlex deepens our product suite to offer a more comprehensive way for small-to-midsize companies to bring all their data integrations under one roof."
This focus on small-to-midsize businesses aligns with NE2NE's broader mission of offering no-code, affordable data integration solutions, particularly for organisations without the dedicated resources available to larger enterprises.
User experience
"PDFFlex has been a game-changer for us. We found ourselves turning away business, but with PDFFlex, what used to take hours now takes 15 minutes. We now have options that significantly optimize our processes," said Activ8 Health COO Rachel Hirsch. "I can't recommend this tool enough to anyone who needs to take PDF documents and get them into a usable digital format."
PDFFlex's reported benefits extend beyond time savings. By validating extracted data for errors and inconsistencies compared to the original documents and notifying users via email or text message if issues are detected, the platform introduces additional layers of quality control and traceability.
Compliance and audit
The introduction of detailed activity logging, designed for compliance and audit purposes, reflects increasing business and regulatory expectations for traceable and transparent data processing. As enterprises across sectors move towards comprehensive automation, robust controls that support data accuracy and accountability have become central requirements.
By providing automatic cross-checks against business rules and integrity constraints, the solution seeks to reduce the risk of costly mistakes caused by manual handling. Real-time alerts are designed to ensure that errors can be identified and resolved before data flows downstream.
NE2NE states that by addressing the "last mile" in the automation of document-centric workflows, PDFFlex is intended to help businesses improve accuracy, consistency and trust in their data processes. Enhanced data extraction and verification are expected to play a role in improving operational efficiency for organisations that routinely handle complex PDF documentation.
