Das Problem
Why Standard OCR Fails to Make Scanned Documents Searchable
You've scanned a stack of handwritten documents — letters, diaries, parish registers, old family records — and now you need to find specific names, dates, or places. You try Adobe Acrobat's OCR. The result? Gibberish. Standard OCR tools are trained on printed, typeset text: clean fonts, consistent spacing, uniform letterforms. Handwriting is none of those things. Cursive letters connect, ink thickness varies, every writer has a unique style, and historical scripts like Kurrent or Sütterlin don't even share letterforms with modern handwriting.
Adobe Acrobat, Google Drive, and built-in OS OCR all fail on handwriting — they're trained on typed text only
Cursive connections, ligatures, and variable letter spacing break character-level recognition
Historical scripts (Kurrent, Sütterlin, old French, Latin) are completely unrecognized by standard tools
Faded ink, bleed-through, and aged paper add noise that defeats conventional OCR algorithms
The result: your scanned PDFs remain unsearchable digital images, not usable text
Die Lösung
How Transkribus Converts Handwritten PDFs to Searchable Text
Transkribus doesn't use traditional OCR. It uses Handwritten Text Recognition (HTR) — AI models trained on millions of real handwriting samples across centuries and languages. Instead of trying to match individual characters to a font, HTR learns how entire words and writing styles flow. Upload your scanned PDF or image, select a model, run recognition, and export as a searchable PDF with a full text layer embedded. Every word becomes findable with Ctrl+F.
Upload PDF, JPG, PNG, or TIFF — single pages or multi-page documents
Select from 300+ public models trained on specific scripts, centuries, and languages
AI detects text regions, baselines, and reading order automatically
Export as a searchable PDF with an invisible text layer — original image preserved underneath
Confidence scores on every line tell you exactly which words to double-check
What it handles
From Cursive to Kurrent: Every Type of Handwriting, One Searchable PDF
Whether you're working with 19th-century cursive letters, German Kurrent parish registers, French Ancien Régime documents, or modern handwritten notes, Transkribus has a model that can read it. The platform supports 100+ languages and scripts, with public models covering handwriting from the 9th century to today. The result is always the same: a clean, searchable PDF you can archive, share, and search.
Modern cursive and connected handwriting in English, French, German, Spanish, and more
Historical scripts: Kurrent, Sütterlin, Fraktur, Secretary hand, Copperplate
Latin and Greek handwriting from ecclesiastical and academic documents
Mixed-script documents — printed headers with handwritten entries in the same page
Damaged, faded, and low-contrast documents that other tools reject entirely
Trusted by leading archives and institutions worldwide
Who it's for
Who Needs a Searchable PDF Generator for Handwriting?
Anyone sitting on a stack of scanned handwritten documents they can't search through. The frustration is universal, but the use cases are specific — and Transkribus handles all of them.
Genealogists building family trees from church records, census forms, and old letters — need to find names and dates across hundreds of pages
Archivists making handwritten collections discoverable to researchers and the public
Historians and researchers working with personal correspondence, diaries, and field notes
Legal professionals digitizing handwritten contracts, wills, and property records
Anyone who inherited boxes of handwritten documents and needs to find what's in them
Häufig gestellte Fragen
Bereit, Ihre handschriftlichen Dokumente durchsuchbar zu machen?
Erstellen Sie ein kostenloses Konto und verwandeln Sie Ihre gescannten Dokumente noch heute in durchsuchbare PDFs. 50 kostenlose Credits pro Monat — keine Kreditkarte nötig.
50 kostenlose Credits pro Monat — Keine Kreditkarte nötig
200 Mio.+Verarbeitete Seiten
500.000+Nutzer weltweit
300+Öffentliche KI-Modelle