BetterOCR combines and corrects multiple OCR engines with an LLM

The article describes a project, BetterOCR, that leverages an LLM to improve the accuracy of OCR results by combining and correcting outputs from multiple OCR engines. This approach is interesting because it addresses a common problem in OCR: the variability in accuracy across different engines and the potential for errors. Using an LLM for correction suggests a sophisticated approach to error handling and text understanding. The source, Hacker News, indicates this is likely a Show HN post, meaning it's a project showcase, not a formal research paper or news report.

• •BetterOCR uses an LLM to improve OCR accuracy.
• •It combines and corrects outputs from multiple OCR engines.
• •The project is likely a Show HN post on Hacker News.