DOCUPIPE
Pricing
Resources
Blog
Insights on document AI, automation, and building with LLMs
Featured
Insights
Intelligent document processing (IDP) is AI-powered software that converts documents into validated, structured data. Learn how IDP works, compare IDP vs OCR, explore use cases, and see the ROI.
Uri Merhav
Jan 13, 2026 · 14 min
Technical
Document Processing APIs for SaaS: A Practical Guide (2026)
Document Extraction: From Unstructured to Structured Data (2026 Guide)
Bank Statement Data Extraction: Automate Financial Document Processing (2026)
Bank statement extraction pulls transactions, balances, and account info from statements for lending, accounting, and verification. Learn what accuracy to expect.
Cloud vs On-Premise Document Extraction: How to Choose (2026)
Cloud vs on-premise document extraction: learn which deployment model fits your security, compliance, and performance requirements. Includes hybrid options.
Form Data Extraction: Automate Tax Forms, Applications, and More (2026)
Form data extraction captures fields from tax forms, applications, and insurance documents. Learn how AI handles checkboxes, handwriting, and complex layouts.
Invoice Data Extraction: Automate AP with AI (2026 Guide)
Invoice data extraction uses AI to pull vendor info, line items, and totals from invoices automatically. Learn how it works and what accuracy to expect.
PDF Data Extraction: How to Pull Structured Data from PDFs (2026)
PDF data extraction converts PDFs into structured, machine-readable data. Learn how AI extraction works, when to use it vs OCR, and what to look for in a solution.
Table Extraction from Documents: The Complete Guide (2026)
Table extraction pulls structured data from complex tables in PDFs and scans. Learn why tables break most extraction tools and what actually works.
Build vs Buy Document Processing: An Honest Guide (2026)
LLMs made document extraction prototypes easy. Production systems are another story. Here's an honest framework for the build vs buy decision.
Healthcare Document Automation: A Complete Guide (2026)
Healthcare document automation uses IDP to process claims, patient records, and referrals - cutting admin time while staying HIPAA compliant.
LLMs for Document Processing: What Works and What Doesn't
LLMs extract data from documents without training - but they can hallucinate. Learn what works, what doesn't, and why hybrid IDP is the answer.
IDP vs OCR: What's the Difference? (2026 Guide)
IDP vs OCR: OCR extracts text, IDP extracts meaning. Compare accuracy, use cases, and costs to choose the right approach for your documents.
IDP vs RPA: What's the Difference? (2026 Guide)
IDP vs RPA: RPA automates clicks, IDP extracts data. Learn when you need each, and why most document workflows require both working together.
Why AI Fails to Understand Documents
You uploaded a PDF to ChatGPT and it answered your question. That means it read the whole document, right? Wrong. Here's what's actually happening under the hood, why it leads to spectacular failures, and how to build document processing that actually works.
Company
DocuPipe is now SOC 2 Type II and ISO 27001 compliant
DocuPipe is now SOC 2 Type II and ISO 27001 compliant. No breaches were found. We used the audits to tighten reliability and privacy controls, including monitoring every load balancer. Done in partnership with Vanta.
DocuPanda is now DocuPipe.ai
As our service matures, so does our brand. DocuPipe.ai has a ring to it (we hope). It captures what we're all about: a document AI extraction tool that is extremely reliable and consistent. Read on to learn about our motivation for rebranding, effective May 15th, 2025.
Web Scraping the Ontario Geological Survey
In this episode we wrap up the data scraping process for mining data in Ontario. With our trusty LLM sidekick, we build a script that uses Selenium to scrape data from the OGS website. We deal with issues like the data being too big, and how to properly iterate when the results are not what we expect.
Just Scraping By: Data Mining Ontario's Geological Goldmine
This is the first episode in a multipart series exploring a use case of applying DocuPipe to mineral mining data. We'll go from scraping data to making sense of it, to building machine learning models, and finally (fingers crossed) to striking it rich by trading mining stocks. This first installment deals in the drudgery of actually getting the data - which involves a lot of scraping. But we have a secret weapon to help us out - ChatGPT!
Vector Similarity Search is Hopeless
A pre-baked notion of similarity is inherently flawed and destined to fail. The only way to achieve reliable and accurate retrieval is through intentional document indexing tailored to unique business needs and constraints. This post explores a fundamental insight that drove us to build DocuPipe.
Product
Introducing DocuPipe's Integration with Make
Discover how DocuPipe's new integration with Make simplifies automation. With over 2,000 supported apps, connect your document workflows to tools like QuickBooks, HubSpot, and Google Sheets—no coding required. Streamline data extraction, enhance productivity, and build robust connections without spending engineering resources!
Building a SaaS that makes money in under 24 hours
Learn how I turned an idea into a functional, revenue-generating SaaS product in just 24 hours. This post isn't about billion-dollar startups; it's about rapid execution, validation, and creating value. Whether you're bootstrapping or exploring, discover how to dip your toe into entrepreneurship quickly and effectively.
Document Extraction Is GenAI's Killer App
GenAI is revolutionizing office work, turning document extraction into its killer app. Tedious tasks like parsing resumes, invoices, and healthcare claims become streamlined, accurate, and scalable. With tools like DocuPipe, businesses harness LLMs to transform messy documents into structured data, unlocking efficiency and insights.
