BetterOCR merges results from three OCR engines and uses an LLM to post-correct and reconstruct the extracted text. It addresses OCR limitations, particularly for languages with limited training data, by leveraging multiple recognition systems and AI-powered refinement. Users provide an image and language options, and the pipeline runs parallel OCR engines before applying LLM-based correction to produce cleaner output.