Model catalogue · LightOn
Texterkennung
A compact model for text recognition: it turns scanned pages into machine-readable text and stays economical enough for bulk runs across entire file corpora. Whatever is misread here is carried along by every later stage, which is why spot checks against the original remain necessary. For professional secrets procurement via IONOS is incomplete: the service works statelessly in the Berlin data centre and without a US group in the chain, but the product-specific confirmation of the confidentiality clause under section 203 of the German Criminal Code is still outstanding for it. That matters especially here, because scanned originals pass through - notices, contracts, working files - and not filtered extracts.
You can work with it - but part of the safeguard is open: either the provider does not commit to confidentiality itself, or it depends on an agreement you still have to conclude. Which of the two applies to which route is set out in the full matrix.
What it is good for
- Turns scans into processable text without the originals leaving the country
- Compact model class with correspondingly low running cost for bulk scans
- German operator without a US group in the chain
Where it stops
- Recognition errors propagate into all downstream stages - spot checks against the original remain necessary
- Handwriting and poor scan quality remain the known weak points of text recognition
- The product-specific confirmation of the section 203 clause for the AI Model Hub is still outstanding
Status through us
The same model, procured differently, is a different legal position. The status above refers to procurement through us; processing takes place in Germany.
Which route carries it, with which instrument and under which condition, we set out in full to the firm before it commissions us - section 203(4) requires that the chain can be checked, not that it is published. The full matrix, with the sources behind every route, can be requested in the German catalogue after confirming your e-mail address, and we go through it in the conversation.
Is Texterkennung the right fit?
We go through your tasks and the route that carries them - and say plainly where it does not.
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