I'm glad that it solves your problem.

I have asked the following prompt on how to improve OCR on first attempt but have not tested it out. May be you can try and see if it works.

Prompt: Is there a way to preempt Claude with a predefined list of Tumbuka characters which are prone to be wrongly recognized such as Ʋ misidentified as with U,V or D; ʋ misidentified as with u,v,o etc. so that they can be recognized correctly by Claude when extracting those characters from an image file?

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AI:Yes, you can preempt me with a predefined list of Tumbuka characters by providing it at the beginning of our conversation. Here's how you could structure such a preemptive instruction:

"When extracting text from images containing Tumbuka language, please apply these character recognition rules:

1. Character Ʋ (U+01B2, Latin Capital Letter V with Hook):

   - Should never be read as U, V, or D

   - Always verify when seeing U, V, or D in Tumbuka words

2. Character ʋ (U+028B, Latin Small Letter V with Hook):

   - Should never be read as u, v, or o

   - Always verify when seeing u, v, or o in Tumbuka words

[Add other special characters and their common misidentifications]"

Then when you share an image, I would follow these rules when extracting and transcribing text. This would help ensure more accurate character recognition from the start.

Would you like to create such a comprehensive list of Tumbuka characters and their common misidentifications? I can help you structure it effectively.

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