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INTELLIGENT DOCUMENT PROCESSING

Extract, organize, and act on document data

Turn your static documents into smart, searchable data that powers automation, accurate reporting, and confident business decisions.

No credit card required

The Best
Data Extraction

Over 68,000 customers use PandaDoc contract tools to wow their buyers

Autodesk
HP
TomTom
Boeing
Sylvan Learning
Rakuten
SGS
Konika Minolta
PepsiCo
Zoetis
Bonusly
Tata Steel

What is intelligent document processing?

Intelligent document processing (IDP) converts documents into usable business data using machine learning and optical character recognition (OCR).

IDP solutions can identify important terms like counterparties, dates, financial terms, and more. This turns static documents into searchable records in your document repository, improving visibility while reducing manual data entry.

Common document challenges that slow you down

Scattered folders

Document insights are buried

Finding contract details means digging through folders and reading documents line-by-line, slowing down critical business decisions.

Manual data entry with mouse hover

Manual data entry creates risks

Copying information into spreadsheets is time-consuming and error-prone. Even small mistakes can create major operational problems.

Critical information lost

Critical information gets lost

Important renewal dates and payment terms are locked in static PDFs where they can’t be easily searched, tracked, or accessed.

How intelligent document processing helps your business

Document UI with expiration dates.

Turn documents into actionable data

Convert static agreements into organized information that supports search, reporting, and can lead to smarter business decisions across your document library.

IDP powers modern document operations

Upload files via drag and drop.

Automate your document intake

Documents are processed when uploaded or created in PandaDoc. Smart document type identification captures relevant data and improves visibility across your document library.

Renewal and Expiration organized UI.

Create reports with live document data

Your workspace data updates as documents are added. Teams can create up-to-date reports on contract terms, values, timelines, and more without heavy manual effort.

Ai Key Insights

Unlock key insights from old documents

IDP works with new and legacy documents. Upload older agreements and order forms to analyze details, track contract terms, and manage other important business details.

Data Pull Integration@2x

Connect data across your business tools

Integrate document data across your tech stack. Native integrations with CRMs and other tools keep records current, making document data a reliable source of truth.

Intelligent data processing designed for today’s professionals

  • Legal

    Streamline review and improve document visibility

    Legal teams can use IDP to automatically scan documents and search for specific terms in executed contracts. This automated approach increases speed and efficiency while freeing up valuable time for higher-level strategic work.

    Headshot of man with glasses in a green button down shirt.

See IDP in action for yourself

Get personalized 1:1 demo with our product specialist.

  • Tailored to your needs

  • Answers all your questions

  • No commitment to buy

Chili Piper

ChiliPiper increased their close rate by 28% after implementing PandaDoc.

Frequently asked questions

  • An intelligent document processing platform converts unstructured and semi-structured documents into structured data. To do this, IDP uses a variety of different software solutions, including AI, natural language processing (NLP), and optical character recognition (OCR) to parse and contextualize information.

    Intelligent document processing solutions differ from most traditional document automation tools, which may only offer a single use case or solution. Because IDP utilizes a host of tools, it can classify and prepare information for use across a variety of business processes.

    PandaDoc’s IDP processes combine machine learning and human-in-the-loop validation to improve operational efficiency and eliminate repetitive tasks while providing control.

  • OCR, or optical character recognition, converts scanned documents and characters from image-based files into machine-readable text. However, while the software can identify characters and formatting, it doesn’t understand document types, context, or relationships between data points.

    IDP software builds on OCR by using artificial intelligence and deep learning models to better understand a document’s context and structure. IDP can handle document classification, advanced data extraction, and also integrates well with APIs and robotic process automation (RPA) tools.

  • IDP is an ideal solution for companies that manage high volumes of document-heavy business processes. Teams in legal, finance, or sales, as well as in specific industries like healthcare often rely on no-code or low-code IDP solutions to handle data intake while they build a better customer experience.

    Brands undergoing a digital transformation benefit from connecting IDP to content management systems, Microsoft tools, CRM platforms, and other solutions in their tech stack to make sense of their unstructured data in a user-friendly way.

  • Processing limits depend on the IDP solution you’re using and your subscription with a given service. Most cloud-based IDP platforms are designed for scalability and will allow organizations to increase capacity as document volumes grow.

  • IDP software offers two key benefits for most users.

    First, the software can improve the operational efficiency of an organization by eliminating manual data processes. Rather than forcing workers to manually copy data from static files, IDP automates these tasks so that team members can focus on more pressing assignments.

    Second, AI powered document processing makes it easy to introduce new datasets and metrics from a wider range of sources. Companies can upload older contract files, proposals, or invoices and allow IDP to sift the information for data and values that might have been previously overlooked.