Unlocking History

Making archives searchable and accessible

Empowering Research with Advanced Text Recognition and Search.

A captivating image of historical manuscripts and non-digital documents being digitally transformed

Millions of pages of documents remain hidden within handwritten and non-digital texts. At tranSkriptorium, we’re unlocking the past by making these invaluable resources searchable and accessible. Our cutting-edge technology transforms digitized documents into digital text, empowering researchers, historians, and enthusiasts to delve deeper into history.

SERVICES

Our Key Features

Accurate Content Retrieval

Our advanced algorithms ensure precise content retrieval (indexation, transcription) of even the most complex document styles.

Powerful Search

Quickly find specific information within vast collections of documents with customised filters.

Data-Driven Insight

Uncover hidden patterns and trends through advanced data analysis.

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Tailored & Flexible

The needs of each archive and client are different so we offer different tailored proposal and collaboration models to adapt to your necessities.

Proved Experience

State of the art open source and proprietary software developed and reviewed in more than 15 national and international research projects.

Specialized Team

A team with over 500 peer reviewed publications backed by the Universitat Politècnica de València as one of its spin-off flagships.

How do we do it?

Know Our Technology

EXAMPLE

How it looks

__________

Licencia [59%]

Licencias [11%]

_____

para [96%]

_____

las [100%]

_______

villas [89%]

billas [61%]

__

y [100%]

___________

lugares [100%]

_

de [100%]

__

la [100%]

________

ciudad [100%]

___

de [100%]

__________

Sevilla [96%]

_

que [100%]

____

sobre [49%]

sobrese [47%]

nombre [33%]

cobre [20%]

__

fe [42%]

la [41%]

se [39%]

______________

necesidad [78%]

necesidas [20%]

necesida [15%]

___

de [72%]

ra [25%]

____

pan [45%]

gran [26%]

pra [24%]

___

para [75%]

pran [24%]

pera [20%]

gran [20%]

____

ma- [53%]

man- [46%]

ma [24%]

na- [18%]

_____________

tenimiento [52%]

tenamiento [30%]

ternimiento [19%]

___

que [93%]

______

provea [91%]

proba [6%]

__

de [95%]

____

ello [68%]

ellos [30%]

ella [22%]

_______

como [73%]

con [23%]

contra [20%]

cono [10%]

_____

está [56]

esto [12]

este [12]

su [8]

___________

mandado [67%]

mandad [32%]

mandar [21%]

mandando [7%]

____

por [68%]

_________

carta [58%]

barca [53%]

__

de [99%]

___

las [16%]

_________

casas [29%]

calas [27%]

mar [6%]

cala [6%]

__

su [85%]

__

se [72%]

so [17%]

Through Machine Learning-based systems, we obtain the PrIx of each document. These PrIx contain the data present in the document’s textual content, accompanied by its likelihood or relevance probability and the corresponding geometric information.

Move your mouse over the words in the document on the left to check the results. 

Through Machine Learning-based systems, we obtain the PrIx of each document. These PrIx contain the data present in the document’s textual content, accompanied by its likelihood or relevance probability and the corresponding geometric information.

Click over the words in the following document to check the results.

__________

Licencia [59%]

Licencias [11%]

_____

para [96%]

_____

las [100%]

_______

villas [89%]

billas [61%]

__

y [100%]

___________

lugares [100%]

_

de [100%]

__

la [100%]

________

ciudad [100%]

___

de [100%]

__________

Sevilla [96%]

_

que [100%]

____

sobre [49%]

sobrese [47%]

nombre [33%]

cobre [20%]

__

fe [42%]

la [41%]

se [39%]

______________

necesidad [78%]

necesidas [20%]

necesida [15%]

___

de [72%]

ra [25%]

____

pan [45%]

gran [26%]

pra [24%]

___

para [75%]

pran [24%]

pera [20%]

gran [20%]

____

ma- [53%]

man- [46%]

ma [24%]

na- [18%]

_____________

tenimiento [52%]

tenamiento [30%]

ternimiento [19%]

___

que [93%]

______

provea [91%]

proba [6%]

__

de [95%]

____

ello [68%]

ellos [30%]

ella [22%]

_______

como [73%]

con [23%]

contra [20%]

cono [10%]

_____

está [56]

esto [12]

este [12]

su [8]

___________

mandado [67%]

mandad [32%]

mandar [21%]

mandando [7%]

____

por [68%]

_________

carta [58%]

barca [53%]

__

de [99%]

___

las [16%]

_________

casas [29%]

calas [27%]

mar [6%]

cala [6%]

__

su [85%]

__

se [72%]

so [17%]

Want to try real examples of our work?

Check our Demos

STATS

Our Numbers

Processed Pages

Docs Languages

Countries

Writing Styles

Centuries Dated Docs

ENISA Certified Company

TranSkriptorium has been certified in 2023 by ENISA and the Ministry of Industry, Trade and Tourism as an emerging company.

TOP101 Spain Up Nation Recognition

TranSkriptorium has been selected in 2024 as one of the companies with the greatest impact in Spain for its innovative character and its impact in the social field.

Winner of the IDEAS UPV Awards

TranSkriptorium has been awarded the First Prize in the SPIN-OFF category of the XVIII IDEAS UPV Awards 2024.

South Summit Finalists

TranSkriptorium has been one of the Finalist at the 2024 South Summit StartUp Competition with over 6.000 participants.

Want to know more about us?

Meet us

TESTIMONIALS

What People Are Saying

Questions? Proposals?

We are happy and ready to help