Automate processes

Document Processing & OCR. Stacks of documents become validated data in your systems.

Automatic extraction and validation of document data, with confidence scores and human review of uncertain cases.

  1. Workshop
  2. Setup
  3. Sprint
  4. Build & Support

Fixed price after scoping · proposal within 48 h

Reviewed: September 2026

Document Processing & OCR
Document Processing & OCR
Document Processing & OCR

Document Processing & OCR: Automatic extraction and processing of documents with enterprise-grade security.

Manual document processing is time-consuming and error-prone. We develop AI-powered solutions for automatic extraction, classification, and processing of documents – from invoices through contracts to forms. Using open document tooling such as Docling and PaddleOCR together with current vision language models from Anthropic, OpenAI, and Google, we extract structured data from unstructured documents. Our solutions include confidence scoring, human-in-the-loop review for edge cases, and comprehensive validation pipelines. Built with GDPR compliance, encryption at rest and in transit, and full audit logging.

Who it's for

Perfect for companies that process large volumes of documents – accounting, HR departments, insurance, legal departments. Ideal for Operations Managers who want to eliminate manual data entry while maintaining compliance and data security.

Key Features

  • Highly accurate
  • Fast & performant
  • Fully automated
  • Validated
  • Secure
  • Compliance ready
  • Docling
  • PaddleOCR
  • Claude
  • GPT
  • Gemini
  • Azure Document Intelligence
  • Google Document AI
  • Python
  • FastAPI
  • Celery
  • Redis
  • PostgreSQL
  • AWS S3
  • Azure Blob

We select the optimal tech stack for your specific requirements

How we work on it

  1. Workshop
  2. Setup
  3. Sprint
  4. Build & Support
(01)

Setup

We set up one clearly bounded system and hand it over ready to use.

1–2 weeks · fixed price after scoping
(02)

Build & Support

We build the project out and stay alongside you once it is live.

after scoping, ongoing · fixed price after scoping; support billed monthly

Included

(01)

Analysis of your document types, fields and downstream processes

(02)

Extraction with open tools such as Docling and PaddleOCR plus vision-language models

(03)

Classification and validation rules for the extracted data

(04)

Confidence score per field and manual review of uncertain cases

(05)

Transfer of the data to your systems

(06)

Onboarding and documentation

(07)

30 days of free bug fixing from final delivery

Not included

(01)

Usage costs of model providers

(02)

Reprocessing your document archive

(03)

Further document types beyond the agreed scope (separately after scoping)

(04)

Ongoing support after the 30 days of bug fixing – available as Build & Support

How it runs

(01)

Analysis

We review sample documents, define fields, validation rules and target systems and build a test set.

W1
(02)

Implementation

Implement extraction, classification and confidence scoring and check them against the test set.

W1-2
(03)

Review process & handover

Set up manual review of uncertain cases, connect your systems, onboarding and documentation.

W2
(04)

Expansion

Optional: further document types, languages and integrations, scope after scoping.

Build
(01)How do you measure accuracy?
We establish accuracy baselines using annotated ground-truth samples from your actual documents. Accuracy is measured per field type (e.g., invoice number, date, amount) using precision, recall, and F1 scores. We provide transparent dashboards showing real-time extraction performance against these benchmarks.
(02)How is my data protected during processing?
Documents are encrypted in transit (TLS 1.3) and at rest (AES-256). Processing happens in isolated environments with no data persistence after extraction. We use SOC 2 Type II compliant infrastructure and offer optional on-premises deployment for maximum control.
(03)What happens when the AI is uncertain about an extraction?
Every extraction includes a confidence score. Extractions below your defined threshold are automatically routed to a human review queue. Reviewers can correct and approve results, and these corrections are logged for model improvement.
(04)Which document formats and languages are supported?
We support PDFs (scanned and native), images (JPEG, PNG, TIFF), Word documents, and emails with attachments. Structured e-invoices (XRechnung, ZUGFeRD), which businesses in Germany have had to be able to receive since 1 January 2025, are read directly from the XML – no OCR needed. Languages include German, English, French, Italian, Spanish, and more. Extraction works without fixed templates; we test unusual layouts on your sample documents during Setup.
(05)Can I host the solution on my own infrastructure?
Yes. We offer cloud deployment (AWS, Azure, GCP), hybrid setups, or fully on-premises installation. On-prem deployments include Docker/Kubernetes packages with all dependencies and air-gapped operation capability.
(06)How do you handle PII and sensitive data?
PII detection and redaction can be enabled automatically. Access controls ensure only authorized personnel see sensitive fields. All access is logged, and data retention policies can be configured to auto-delete documents after processing.

Ready for your project?

Talk to us for 30 minutes with no obligation, or write to us directly.

Fixed price after scoping · proposal within 48 h