About pdftables.io
The Problem We Solve
Every day, businesses deal with PDF documents that contain critical data — invoices, bank statements, financial reports, logistics records. The data is right there, locked inside tables that were designed for reading, not for processing.
The reality for most teams looks like this: someone opens a PDF, manually copies numbers into a spreadsheet, double-checks every cell, and repeats. Across accounting departments, controlling teams, and operations, this process consumes hours every week. Standard OCR tools often make it worse — they produce unstructured text, misalign columns, or silently drop rows.
These are not hypothetical problems. They come from observing real workflows in finance, e-commerce, and enterprise operations where PDF data entry remained a manual bottleneck despite available tooling.
Our Mission
PDFs contain valuable, structured data — but the format is not machine-readable by design. pdftables.io exists to change that. We turn PDF tables into clean, structured data that can be used immediately: in spreadsheets, accounting systems, databases, or automated pipelines.
The goal is practical: reliable extraction, consistent output, and real-world usability. No manual correction. No guesswork. Whether you process five pages a month or five thousand, the result should be the same — accurate, structured, and ready to use.
Founder
Klaus Fuhrmeister
Founder & Software Developer
Klaus has over 15 years of experience in software development, with a strong focus on building scalable, production-grade systems. His technical background spans Django, Angular, REST APIs, Docker, and cloud infrastructure — tools he has used to deliver solutions in industries ranging from e-commerce to data-driven enterprise systems.
His core specialization lies in data processing and automation: backend architecture, extraction pipelines, and systems that turn raw input into usable output. pdftables.io is a direct result of solving PDF extraction problems he observed repeatedly in real client projects.
Beyond product development, Klaus has a deep interest in security — particularly future-proof technology like post-quantum cryptography and the implications of quantum computing for current encryption standards. This interest directly shapes how pdftables.io approaches data protection: not just meeting today's requirements, but preparing for tomorrow's threats.
Technology
pdftables.io is not a simple PDF-to-text converter. It is a purpose-built extraction system designed to understand the structure of PDF documents — including tables, columns, headers, and multi-page layouts.
Structure Detection
The system analyzes PDF layouts to identify table boundaries, column alignment, and cell relationships — even when tables span multiple pages or lack visible borders.
OCR for Scanned Documents
Scanned PDFs and image-based documents are processed through optical character recognition before table extraction, ensuring usable output regardless of how the PDF was created.
Data Normalization
Extracted data is cleaned and structured: whitespace is normalized, number formats are standardized, and columns are aligned to produce consistent, import-ready output.
AI-Based Format Mapping
For specialized formats like DATEV, the system uses AI to map extracted columns to the required target schema — eliminating manual field assignment.
API-First Architecture
Every feature available in the web interface is also accessible via REST API. Designed for integration into automated workflows, batch processing, and third-party systems.
Security & Data Protection
All data processing happens on servers located in Germany. The system is built with GDPR compliance as a baseline, not an afterthought. Files are encrypted at rest using post-quantum safe encryption, and uploaded documents are automatically deleted after a configurable retention period.
Security is not treated as a feature — it is part of the architecture. The system is designed with a forward-looking security mindset, incorporating post-quantum cryptographic awareness to protect data not just against current threats, but against future ones as well.
Progress & Milestones
Founded – First extraction engine built
OCR integration for scanned documents
Public API launch & SDK release
AI-based format mapping (DATEV)
Post-quantum encryption & scaling infrastructure
Open Source & Developer Ecosystem
pdftables.io follows an API-first philosophy. The product is built for developers who need to integrate PDF extraction into their own systems — not just end users clicking through a web interface.
To support this, official SDKs are published and maintained as open-source packages:
Publishing source code and packages publicly is a deliberate decision. It allows developers to verify how the system works, report issues, and integrate with confidence. Transparency builds trust — and trust is essential when handling sensitive business data.
Why pdftables.io
- Built from real-world problems — not academic research or generic tools
- High extraction accuracy — purpose-built table detection, not repurposed OCR
- Flexible output formats — XLSX, CSV, JSON, DATEV — structured for immediate use
- Automation-first — full REST API with official SDKs for Python and JavaScript
- Security by design — post-quantum encryption, GDPR-compliant, servers in Germany
- Future-proof — continuous development with a clear technology roadmap
"Data is only valuable if it is usable."
Company & Contact
- Company
- Softwareservice Fuhrmeister
- Founder
- Klaus Fuhrmeister
- Location
- Bad Camberg, Germany