@Imscully - you, along with @AgarabjeM, brought me by far the most gratification for my Focus on this thread = I've many of the respect on your perform and I'm happy you did not give up!

Yeah, I checked this series out two or three a long time back and this video clip with Kawai Anri was the most beneficial of these.

initial_prompt: It is possible to enter a sentence or number of phrases to be a string to test to bias the translation in a way. It's not necessarily crystal clear no matter if This is often designed to applay to only the very first phase or the complete transcript, but in long term versions it will probably be a little bit a lot more apparent or adaptable.

They are wonderful resources To place by means of LLM and translate to English. I've witnessed DeepL pointed out lots, I Truthfully Assume DeepL sucks. Deepseek does a method improved work nevertheless it's genuinely gradual, copyright is the best of the two worlds, translation is even worse than deepseek and much better than DeepL, but ultra rapid.

Interprets directly from the source language to English subtitles, resulting in some better interpretations.

Does it usually choose this lengthy? I utilized to use DeepL and translate line by line and it absolutely was faster. Am I performing a thing wrong?

Not even remotely as simple as standard commandline whisper. This seems to be check here something that virtually Everyone is crashing so I picture it can get preset.

Individually attempted employing handful of industry major OCR systems for hardsubbed Chinese articles, although the accomplishment rate for extracting the subtitle was abysmal, with lower than one/four precision.

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Or else, normal observe should be to rename them to .txt so they can be opened and considered uncompressed.

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mayortommy mentioned: what exactly is The ultimate way to cope with subtitles when two characters within the Film are talking simultaneously or very quickly immediately after each other?