# EScriptorium

> Mediated Wiki article. Canonical URL: https://mediated.wiki/source/EScriptorium
> Markdown URL: https://mediated.wiki/source/EScriptorium.md
> Source: https://en.wikipedia.org/wiki/EScriptorium
> Source revision: 1337091112
> License: Creative Commons Attribution-ShareAlike 4.0 International (https://creativecommons.org/licenses/by-sa/4.0/)

{{Short description|OCR software}}
{{Lowercase title}}
{{Infobox software
| name = eScriptorium
| logo = Logo_escriptorium.png
| logo alt = Logo of eScriptorium (feather with eS on yellow background)
| screenshot = EScriptorium v0.13.8 start page (detail).png
| description = 
| maintainer = 
| released = {{Start date and age|2018}}
| management = 
| latest release version = {{wikidata|property|preferred|references|single|Q111218645|P348|P548=Q2804309}}
| latest release date    = {{wikidata|qualifier|preferred|single|Q111218645|P348|P548=Q2804309|P577}}
| latest preview version = {{wikidata|property|preferred|references|single|Q111218645|P348|P548=Q51930650}}
| latest preview date    = {{wikidata|qualifier|preferred|single|Q111218645|P348|P548=Q51930650|P577}}
| operating system = [platform independent](/source/platform_independence)
| programming language = <!-- wikidata -->
| category = 
| license = <!-- wikidata -->
| repo = <!-- wikidata -->
| website = <!-- wikidata -->
}}

'''eScriptorium''' is a [platform](/source/Computing_platform) for manual or automated segmentation and [text recognition](/source/text_recognition) of historical [manuscript](/source/manuscript)s and prints.

== Details ==
[[File:EScriptorium Journal of a Voyage on Board the Resolution 1772-1774 Vol. 1.png|thumb|Screenshot with eScriptorium transcription of [Johann Reinhold Forster](/source/Johann_Reinhold_Forster)'s diary ''Journal of a Voyage on Board the [Resolution](/source/HMS_Resolution_(1771)) 1772-1774 Vol. 1'']]
The software is an [open source](/source/open_source) software developed at the [Paris Sciences et Lettres University](/source/Paris_Sciences_et_Lettres_University) as part of the projects ''Scripta''<ref>{{Cite web|url=https://www.psl.eu/en/scripta|title=Scripta-PSL. History and practices of writing|language=en|access-date=2022-03-13}}</ref> and ''RESILIENCE''<ref>{{Cite web|url=https://www.resilience-ri.eu/|title=RESILIENCE - The Religious Studies Research Infrastructure|language=en|access-date=2022-03-13}}</ref> with contributions from other institutions, partly funded by the EU's [Horizon 2020](/source/Horizon_2020) funding program and a grant from the [Andrew W. Mellon Foundation](/source/Andrew_W._Mellon_Foundation).

Scanned pages from manuscripts and prints can be imported into eScriptorium and exported as text in various formats (text, [ALTO](/source/Analyzed_Layout_and_Text_Object) or [PAGE XML](/source/Page_Analysis_and_Ground_Truth_Elements), [TEI](/source/Text_Encoding_Initiative)). The text areas with text lines in the images are first recognized manually or automatically (segmentation). The text lines are then transcribed manually or automatically.<ref>{{Cite web|url=https://escriptorium.readthedocs.io/en/latest/|title=eScriptorium Documentation|access-date=2024-01-21}}</ref>

Both automatic segmentation and text recognition can be trained using manually created or corrected examples ([ground truth](/source/ground_truth)). The new models created in this way can be shared with others and can therefore be easily reused.<ref>{{Cite web |url=https://escriptorium.readthedocs.io/en/latest/export/ |title=Export data - eScriptorium Documentation|access-date=2024-01-21}}</ref>

eScriptorium is built on top of the [free](/source/free_software) OCR software ''Kraken'' by Benjamin Kiessling, a derivative of the OCR software ''[OCRopus](/source/OCRopus)'', which is suitable for handwritten and printed texts and also supports scripts such as Hebrew and Arabic, which are written from right to left.<ref>{{Cite web|url=https://github.com/mittagessen/kraken/|title=lunch/kraken: OCR engine for all the languages|language=en|access-date=2022-03-13}}</ref>

Comparable programs that offer similar functions to eScriptorium are OCR4All<ref>{{Cite web |url=https://fortext.net/tools/tools/ocr4all |title=OCR4all {{!}} forTEXT |access-date=2023-06-20}}</ref> and [Transkribus](/source/Transkribus).

== Individual references ==
{{Commons category|EScriptorium|eScriptorium}}
{{reflist}}

Category:Optical character recognition software
Category:Free software programmed in JavaScript
Category:Free software programmed in Python
Category:Software using the MIT license

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Adapted from the Wikipedia article [EScriptorium](https://en.wikipedia.org/wiki/EScriptorium) by Wikipedia contributors ([contributor history](https://en.wikipedia.org/wiki/EScriptorium?action=history)). Available under [Creative Commons Attribution-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/). Changes may have been made.