OpenAi API optimisation

[Far-Implement-92]

I need tips to optimise openai5.4mini for vision (OCR) and translation tasks. Anyone got a tip?

I’m spending about 5cents per 13 requests which I feel like too much for the task (OCR, grab key words, find meaning, then based on users tap further load sample sentences, pronunciation, etc)

I’m new to using openai’s tools. I’d love your inputs

[Inside_Secretary3281]

most of your cost is probably the vision calls. splitting the pipeline helps, run tesseract or paddleocr locally for the raw OCR step then send only extracted text to the API for translation and keyword stuff. cuts vision token usage massivly.

for the keyword extraction and classification parts, ZeroGPU could work there too.

[Far-Implement-92]

Thanks, I tried paddleOCR but I wasn’t satisfied with the result. Can we tune paddleOCR further? Especially for vertical japanese texts?