I spent weeks tuning a local OCR pipeline. Downscaling, adaptive thresholding, per-word confidence...
I tuned an OCR pipeline for weeks. A vision model beat it in nine seconds.
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One deployment returns verbatim, clean or speaker-tagged text by prompt: 3 minutes in 4.4 s on 32 GB. The clean prompt still adds speaker tags.
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The AI agent wasn't confused. It was drowning in 200 tools.
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