Le problème
Why old property deed transcription defeats standard OCR
Land records are among the oldest surviving genealogical sources — many predate civil registration and census records by decades or centuries. County courthouse deed books contain centuries of property transfers recorded in dense legal handwriting, packed with metes-and-bounds descriptions, Latin abbreviations, and formulaic language that varies by region and era. Colonial land grants mix Secretary Hand with archaic legal English. German Grundbuch entries use Kurrent alongside legal formulae. Spanish land grants in the American Southwest blend colonial Spanish handwriting with indigenous place names.
Metes-and-bounds descriptions use archaic compass bearings, chains, rods, and natural landmarks — incomprehensible to standard OCR
Dense legal formulae: 'Know all men by these presents', 'in fee simple', Latin phrases like 'habendum et tenendum'
Multiple hands on a single page — clerks, witnesses, and notaries each with different scripts
Faded iron gall ink on paper that's 150-300 years old, often with bleed-through and water damage
No standardised spelling of names or place names — the same property boundary appears differently in each transfer
La solution
AI that reads land grant handwriting across centuries
Transkribus uses handwritten text recognition (HTR) trained on millions of historical document pages — including the dense legal scripts found in property records. Unlike standard OCR, which fails on connected cursive and formulaic legal text, Transkribus learns the specific patterns of deed book handwriting: the abbreviations, the metes-and-bounds vocabulary, the overlapping hands of clerks and witnesses. Upload a scan or photo of your land deed, select a model, and get searchable text back in minutes.
300+ public models covering the scripts found in land records from the 1600s to the 1900s
Reads Secretary Hand, Kurrent, colonial scripts, and legal handwriting across English, German, Spanish, French, and 100+ languages
Handles damaged, faded, and low-contrast documents that defeat standard deed of sale OCR
Confidence scores on every line — so you know which property descriptions to double-check
Export as plain text, searchable PDF, or structured XML for genealogy databases
How to transcribe a land deed in 4 steps
Télécharger votre document
Take a photo of a deed book page or upload a scan. Transkribus accepts JPG, PNG, PDF, and TIFF files — including multi-page deed books.
Sélectionner un modèle IA
Choose from 300+ public models. Filter by language, century, and script type to find the best match for your land record.
Lancer la reconnaissance de texte
Click 'Recognise' and let the AI work. A single page takes about 30 seconds. Entire deed books can be batch-processed.
Vérifier et exporter
Check the transcription against the original image. Fix any errors in the built-in editor, then export as text, PDF, or XML for your genealogy research.
Models for land records
AI models for colonial land records and county deed books
Transkribus's public model catalog includes models built for the legal scripts and document types found in property records. Many were trained by archivists and genealogists on real deed book collections and homestead patents, so they understand the formulaic language, metes-and-bounds vocabulary, and script variations that generic OCR misses entirely.
English deed books: Models covering Secretary Hand, Round Hand, and legal cursive from the 1600s to 1900s
German land records: Kurrent and Sütterlin models trained on Grundbuch entries and property transfers
Colonial records: Models for early American, Spanish, and French colonial land grants
Homestead record transcription: Models suited for US General Land Office patents and federal land entry files
Field models that extract structured data — names, dates, property descriptions — from deed layouts
Questions fréquemment posées
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Create a free account and start transcribing deed books, homestead patents, and property records today. 50 free credits every month — no credit card required.
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300+Modèles IA publics