Subtitle Edit 5.1.0: local transcription and SRT setup

Learn to generate and refine SRT subtitles with Subtitle Edit 5.1.0, using a local medium model, then translate and batch-format the results.

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The original video is in Portuguese. This tutorial walks through Subtitle Edit 5.1.0, starting with the portable download and the app's automatic FFmpeg setup. The speaker configures the interface language, opens speech-to-text settings and downloads a local Whisper transcription backend. For Brazilian Portuguese, he selects the medium model without the .EN suffix, shown as a 1.5 GB download.

The transcription step runs offline after the downloads. The speaker reports using a Ryzen 5600G, 32 GB of RAM and a 1 TB NVMe SSD, but gives no measured processing time. He explains that hardware and video duration affect the wait. Multiple videos can enter the transcription queue, and post-processing settings adjust timing and split or merge subtitle lines. He recommends reviewing the output because unclear speech can produce incorrect words.

The resulting SRT file sits beside the video. For translation, the speaker uses an unnamed online site that he says relies on Google Translate, exporting English and Spanish copies. This part of the workflow requires an online service. He then returns to Subtitle Edit for batch conversion to rebalance long lines, adjust durations and apply minimum gaps. A PotPlayer playback check compares the translated files before and after formatting, followed by manual timing edits and an explanation of overlap warnings.