Question 1

How do I add custom language packs to ocrserver?

Accepted Answer

You can build the Docker image with the LOAD_LANG build argument, like 'docker-compose build --build-arg LOAD_LANG=rus', to include additional Tesseract language data. For more languages, you may need to extend the Dockerfile manually.

Question 2

ocrserver or Tesseract standalone: which should I use?

Accepted Answer

ocrserver is better for quick API-based integrations and prototyping, while Tesseract standalone offers more control and features for complex OCR tasks. Choose ocrserver if you need a simple HTTP interface; opt for Tesseract directly for advanced customization.

Question 3

Can ocrserver process images from URLs directly?

Accepted Answer

No, the API requires image uploads via multipart/form-data, as per the documented endpoints. You'll need to download images server-side first, which adds extra steps for URL-based processing.

Question 4

What are the performance benchmarks for ocrserver?

Accepted Answer

The README doesn't provide benchmarks, but as a lightweight Go server, it's suitable for low to moderate loads. Performance depends on Tesseract and hardware; for high throughput, you'd need to optimize or scale the deployment manually.

Question 5

How to secure ocrserver API endpoints?

Accepted Answer

ocrserver has no built-in authentication or security features. You must add an external layer, like a reverse proxy with API keys or firewall rules, to protect the endpoints in production environments.

Question 6

Does ocrserver support batch image processing?

Accepted Answer

No, it only handles single image uploads per API request. For batch processing, you would need to implement a wrapper that calls the API repeatedly or modify the server code to add batch functionality.

ocrserver

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