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
Convert bank statement PDF to Excel
Finance and accounting teams regularly receive bank statements as PDFs. Instead of copying rows by hand, upload the file and get clean transaction tables in XLSX, CSV, or JSON — ready for reconciliation, month-end close, or BI pipelines.
- Extracts multi-page transaction tables without manual cleanup
- Handles multi-row headers and complex bank statement layouts
- Select only the pages you need for cleaner, noise-free output
No sign-up required to try