Results here are bad, obviously, but it'll be interesting when LLMs can not just identify fonts but unredact pieces of documents in places where just a few words are removed by analyzing the length of redaction, combos of letters that fit into it, and the context.
Why would you even need LLMs for that? Notwithstanding context, finding text that fits into a given bounding box is already perfectly doable via a classical algorithm (in this case e.g. based on dynamic programming).
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Results here are bad, obviously, but it'll be interesting when LLMs can not just identify fonts but unredact pieces of documents in places where just a few words are removed by analyzing the length of redaction, combos of letters that fit into it, and the context.
Why would you even need LLMs for that? Notwithstanding context, finding text that fits into a given bounding box is already perfectly doable via a classical algorithm (in this case e.g. based on dynamic programming).
This is actually quite important! Especially when you're not talking about a single word/name but a group of several words/names.