Automate Document Processing with AI

Documents are the backbone of business, but they don’t have to be a bottleneck. At TechTarget, we explore how artificial intelligence is transforming manual, error-prone document workflows into fast, intelligent, and scalable systems. Say goodbye to data entry and hello to smart automation!

80% of Enterprise Data

Unstructured and locked inside documents

Faster processing

Reported by companies using AI to automate invoices, forms, and records

$12.84 Billion by 2030

Projected global market size for AI-based document processing (Fortune Business Insights)

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Artificial intelligence programs can through and tons of data.

What Is AI-Powered Document Processing?

AI-based document processing uses machine learning and natural language processing to extract, classify, and validate information from unstructured documents, including PDFs, forms, contracts, receipts, and more.

Intelligent Data Extraction

AI reads documents like a human, recognizing text, handwriting, tables, and signatures.

Classification & Tagging

Sorts documents by type (invoices, contracts, IDs, etc.) with near-perfect accuracy.

Validation & Error Detection

Compares extracted data against databases or rules to flag inconsistencies instantly.

Workflow Automation

Triggers next steps (approval, filing, alerts) automatically based on content and context.

Where Document Processing AI Delivers the Most Value

From finance to healthcare, AI document processing helps industries move faster, stay compliant, and eliminate manual effort.
The most cited challenge to artificial intelligence (ai) is:

Banking & Finance

Automate loan applications, KYC, mortgage forms, and financial reports with audit-ready precision.
AI in Healthcare

Healthcare

Extract patient data, lab results, and clinical notes from handwritten or scanned records.
AI in Finance

Legal & Compliance

Review and analyze large contracts, NDAs, and regulatory filings using NLP-powered models.

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Insurance

Speed up claims processing, policy reviews, and fraud detection with AI-driven extraction.

When did artificial intelligence start

Human Resources

Onboard employees faster by digitizing resumes, tax forms, IDs, and compliance documents.

AI Document Processing - Go To Solutions

Here are the leading platforms driving intelligent document workflows across industries.
AI in Banking

Amazon Textract

Automatically extracts text, tables, and forms from scanned documents with high accuracy.

Google Document AI

Pre-trained models to parse invoices, receipts, contracts, and ID cards using NLP and vision.

Microsoft Azure Form Recognizer

Extracts structured data from documents and integrates with Microsoft ecosystem tools.

Rossum

AI document gateway that unifies data capture, validation, and approval workflows.

ABBYY FlexiCapture

Enterprise-grade solution for intelligent capture, OCR, and classification of complex documents.
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Core AI Technologies Behind Document Automation

TechTarget makes it easy to understand the advanced technologies powering smarter document handling.

OCR (Optical Character Recognition)

Digitizes printed or handwritten text from scanned images or PDFs.

NLP (Natural Language Processing)

Understands, extracts, and classifies meaning from natural language content.

Entity Recognition

Identifies key fields like names, dates, invoice numbers, totals, or addresses.

Layout Analysis

Interprets tables, columns, headers, and document structures — even in multi-format files.

Pretrained Language Models

LLMs trained on legal, financial, or medical documents enable out-of-the-box accuracy.

Human-in-the-Loop (HITL)

Combines AI efficiency with human oversight to ensure quality and compliance.

Why Automate Documents with AI?

Manual document processing slows you down. With TechTarget, discover how AI helps you unlock hidden data, reduce errors, ensure compliance, and scale operations without scaling headcount.
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