The output from Tesseract OCR when running on Cloud Run instance is unusual, despite providing accurate output when running locally.

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There could be several reasons why the output from Tesseract OCR when running on Cloud Run instance is different from the output generated when running locally. Some possible reasons are:

1. Language data: Tesseract OCR uses language data to recognize characters in an image. If the language data installed on the Cloud Run instance is different from the language data used when running locally, it can lead to different output.

2. Image quality: The quality of the image being processed can significantly impact the accuracy of OCR. If the image quality is poor or there is a lot of noise, it can result in inaccurate output.

3. Environment: The environment in which Tesseract OCR is running can affect its performance. The CPU, memory, and other resources provided by Cloud Run may be different from the local environment, leading to different output.

4. Image preprocessing: Tesseract OCR can perform image preprocessing operations to improve the accuracy of OCR. If the same image preprocessing steps are not performed on the Cloud Run instance as were performed locally, it can lead to different output.

To troubleshoot the issue, you can try the following:

1. Check the language data installed on both the Cloud Run instance and local setup and ensure they are the same.

2. Verify if there are any differences in the image quality between the Cloud Run instance and local setup.

3. Check the CPU and memory resources provided to the Cloud Run instance and ensure they are sufficient.

4. Verify if the same image preprocessing steps are being performed on the Cloud Run instance as were performed locally.

By comparing and troubleshooting these factors, you may be able to identify the cause of the difference in output between the Cloud Run instance and your local setup.