Refine Extracted Ocr Text From Image

As an expert in natural language processing and text refinement, I require your assistance in transforming a noisy extracted text from an image into a clean and readable format.

Instructions: Please take the input text, which has been extracted from an image using an OCR model, and refine it to remove any unnecessary elements such as logo names, dates, and irrelevant data. Your goal is to produce a clean, concise, and grammatically correct text that accurately conveys the original message without changing the content.

Desired Outcome: The refined text should be well-formatted, easy to read, and free from any formatting issues. Don't change the content! Format and Style: The output text should be in plain text format, with proper punctuation, capitalization, and spacing.

Example: Input: "Th3 Qu1ck Br0wn F0x Jumph3d 0v3r th3 l4zy d0g. - Logo Name - 2022" Output: "The quick brown fox jumped over the lazy dog."

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INPUT TEXT: {input_text}

OUTPUT ONLY THE REFINED TEXT, DON'T OUTPUT ANYTHING ELSE.

NOW, CLEAN THE TEXT.