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Read Kurrent Handwriting with AI

Upload a photo or scan. Get readable text in seconds.

Kurrent script1500s–1900sFree to tryNo signup needed

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How to translate Kurrent handwriting

Three steps — no software to install, no account required for the demo.

1

Upload a photo or scan

Take a photo of the Kurrent document with your phone or use a scan. Drag the image into the box above. JPG, PNG, and PDF all work.

2

AI reads the Kurrent

The AI analyzes the image, detects text lines, and converts the angular Kurrent handwriting into readable digital text — including connected strokes, faded ink, and difficult letterforms.

3

Copy, edit, or export

Your text appears in seconds. Copy it to the clipboard, paste it into a document, or create a free account to export as TXT, DOCX, or PDF.

How it works

AI trained on millions of handwritten pages

Transkribus uses artificial intelligence trained on more than 30 million words from historical documents. The AI analyzes the shape and flow of each letter, recognizing patterns even in the most difficult Kurrent handwriting. Your document is processed line by line and converted into readable digital text.
Reads Kurrent, Sütterlin, and other old German cursive scripts
300+ public models for different handwriting styles and time periods
Works with phone photos or high-resolution scans

Genealogy & research

Finally decode your ancestors' Kurrent letters

Kurrent was the standard handwriting in German-speaking countries for over 400 years. If you're researching German, Austrian, or Swiss ancestry, chances are most documents you find will be written in Kurrent – and nearly impossible to read without training. Transkribus decodes them automatically.
Immigration letters and family correspondence
Church records: baptisms, marriages, and death certificates
Court records, land deeds, and wills
Diaries, notebooks, and personal journals
Old German handwriting: Kurrent script examples

Beyond the demo

The full platform for historical documents

The demo above gives you a taste. The full Transkribus platform lets you process thousands of pages, train custom AI models on your specific handwriting, search across all your documents, and export in any format you need.
Train custom models on your family's specific handwriting
Full-text search across all your transcribed documents
Export as TXT, DOCX, PDF, TEI-XML, or PAGE XML
Collaborate with family members and share collections
Transkribus platform interface

Trusted by leading institutions worldwide

What you can transcribe

Common documents written in Kurrent

Kurrent was used across all areas of life – from personal letters to government records. If you're working with documents from German-speaking countries before the 1940s, you'll likely encounter Kurrent handwriting.
Personal letters and family correspondence
Kirchenbücher (church books) with vital records
Military records and wartime letters (Feldpost)
Administrative records and court protocols
Wills, contracts, and legal documents
Academic manuscripts and scientific notes
Genealogy research with Kurrent documents

The script

What is Kurrent? The old German handwriting explained

Kurrent (also called "deutsche Kurrentschrift" or "alte deutsche Schrift") was the dominant handwriting style in German-speaking countries from the 1500s until the early 1900s. Its angular, tightly spaced letters look nothing like modern handwriting, which is why most people today — even native German speakers — cannot read it without training. The Kurrent alphabet uses a completely different set of letterforms: many letters (like s, h, e, f) are nearly indistinguishable to untrained eyes. Transkribus AI reads Kurrent automatically.
The standard German handwriting from the 16th to early 20th century
Characterized by angular, narrow letters with a strong forward slant
Many letters look completely different from their Latin counterparts
Gradually replaced by Sütterlin (a simplified, rounder version) from 1911
Officially abolished in 1941 in favor of Latin script
Still found in millions of unread letters, church records, and official documents
German Kurrent alphabet — complete letter overview with uppercase and lowercase

The technology

How does Kurrent handwriting recognition work?

Handwriting recognition (HTR – Handwritten Text Recognition) uses deep learning neural networks to convert images of handwritten text into machine-readable characters. Unlike OCR for printed text, HTR must handle the infinite variation in human handwriting – different letter shapes, connected strokes, and personal styles that change across centuries.
Neural networks trained on millions of handwritten samples
Layout analysis detects lines and text regions automatically
Character-level recognition handles connected and cursive writing
Language models improve accuracy by understanding word context
Transkribus editor showing Kurrent recognition

Your documents, your data, your control.

Transkribus is built and hosted in Europe by a cooperative of 250+ institutions. Your data stays yours.

Full data ownership

Your documents and transcriptions belong to you. Delete anytime.

Hosted in Europe

All processing on our own servers in Austria. GDPR-compliant. No Big Tech dependencies.

Built for the long term

A cooperative, not a startup. 250+ co-owners ensure Transkribus will be here for years to come.

Frequently asked questions about Kurrent translation

Kurrent (deutsche Kurrentschrift) is the standard German cursive handwriting that was used from the 1500s to the early 1900s. It has angular, narrow letterforms that look completely different from modern Latin handwriting. Most people today — even native German speakers — cannot read Kurrent without training. Transkribus uses AI to translate Kurrent into readable text automatically.

Kurrent is the older German cursive script, used from the 1500s to the early 1900s, with angular, tightly spaced letters. Sütterlin was designed in 1911 by Ludwig Sütterlin as a simpler, rounder version of Kurrent for schools. Sütterlin was the standard school handwriting in Germany from 1915 to 1941. Transkribus reads both scripts — and many documents mix both styles.

Yes. Transkribus uses neural networks specifically trained on old German handwriting, including Kurrent from the 1500s to the 1900s. The AI has been trained on millions of handwritten words from historical documents and achieves high accuracy on clean scans. You can try it right now — upload a photo at the top of this page and see the result in seconds, no signup needed.

Yes. The demo on this page is completely free — no account required. You can translate several pages of Kurrent right here. For larger projects, create a free account to get 50 credits every month (enough for about 50 pages). No credit card required.

The Kurrent alphabet uses angular, narrow letterforms written with a quill pen. Many letters look completely different from their Latin equivalents — for example, Kurrent 'e' looks like a modern 'n', and Kurrent 'h' can be confused with 'f' or 's'. This is why Kurrent is so hard to read without training. You can see the full Kurrent alphabet chart in the 'What is Kurrent?' section above.

Yes. Transkribus works with phone photos, scans, screenshots, and PDFs. You don't need a professional scanner — just take a clear photo with your phone camera and upload it. The AI handles different lighting conditions, paper types, and image qualities.

For clean scans and legible Kurrent, the AI typically achieves 95–99% character accuracy. Difficult handwriting, faded ink, or damaged paper may produce lower accuracy — but still far better than what standard OCR can deliver. You can also train a custom AI model on your specific writer's handwriting to improve accuracy further.

Yes. Transkribus has specialized AI models for Kurrent, Sütterlin, Fraktur, and many other historical handwriting styles. It also reads Latin cursive, French, Italian, Dutch, and many other scripts — over 100 languages in total with 300+ public AI models. Many historical German documents mix Kurrent with Fraktur or Sütterlin, and the AI handles this automatically.

Ready to decode Kurrent handwriting?

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200M+Pages processed
500K+Users worldwide
300+Public AI models