For instance, Discourses on Livy:
https://www.gutenberg.org/cache/epub/10827/pg10827-images.ht...
61–70 of 122 posts
For instance, Discourses on Livy:
https://www.gutenberg.org/cache/epub/10827/pg10827-images.ht...
That library is free for personal or open source projects, but paid for commercial ones
For classic books like those you mentioned, Project Gutenberg has text versions along with pdfs/epubs/etc. For instance, Discourses on Livy: https://www.gutenberg.org/cache/epub/10827/pg10827-images.ht... https://www.gutenberg.org/ebooks/10827
Earlier quoted context omitted.
I recently did some OCRing with OpenAI. I found o3-mini-hi to be imagining and changing text, whereas the older (?) o4 was more accurate. It’s a bit worrying that some of the models screw around with the text.
There’s GPT4, then GPT4o (o for Omni, as in multi modal) and then GPT o1 (chain of thought / internal reasoning) then o3 (because o2 is a stadium in London that I guess is very litigious about its trademark?), o3-mini is the latest but yes optimized to be faster and cheaper
Earlier quoted context omitted.
There’s GPT4, then GPT4o (o for Omni, as in multi modal) and then GPT o1 (chain of thought / internal reasoning) then o3 (because o2 is a stadium in London that I guess is very litigious about its trademark?), o3-mini is the latest but yes optimized to be faster and cheaper
o2 is the UK's largest mobile network operator. They bought naming rights to what was known as the millennium dome (not even a stadium).
I also made a simple iOS app that basically just uses the built in OCR functionality on iPhones and automatically applies it to all the pages of a PDF. It won’t preserve formatting, but it’s quite accurate in terms of OCR:
I have tried a bunch of things. This is what worked best for me: Surya [0]. It can run fully local on your laptop. I also tried EasyOCR [1], which is also quite good. I haven't tried this myself, but I will look at Paddle [2] if the previous two don't float your boat. All of these are OSS, and you don't need to pay a dime to anyone. [0]: https://github.com/VikParuchuri/surya [1]: https://github.com/JaidedAI/EasyOCR […
I did this very recently for a 19th century book in German with occasionally some Greek. The method that produces the highest level of accuracy I've found is to use ImageMagick to extract each page as a image, then send each image file to Claude Sonnet (encoded as base64) with a simple user prompt like "Transcribe the complete text from this image verbatim with no additional commentary or explanations". The whole thi…