auto-subtitle · Auto Subtitles

auto-subtitle

Transcribe speech in audio or video into subtitle files (SRT/ASS/TXT/JSON), with optional hard-burn into the video.

Local faster-whisper ASR with Chinese-friendly line breaking (~18 characters per line by default); ASS styling auto-adapts font size and margins to the video dimensions. Models from tiny to large-v3 — larger is more accurate, slower. Video inputs get their audio extracted automatically; originals untouched.

Example invocation: "Generate Chinese subtitles for this video and burn them in."

Full brief

Positioning

auto-subtitle does one thing: speech → subtitle file (+ optional burn-in). No editing, no translation, no denoising.

Core capabilities

Workflow

  1. Provide an audio or video file
  2. Choose format (default SRT), language (default auto-detect), model (default base)
  3. Generate the subtitle file into outputs/<topic>/
  4. (Optional) burn hard subtitles into the video, or mux soft subtitles
  5. Report detected language, subtitle count, model used, and output paths

Inputs & outputs

Input Required Notes
input_file Yes Audio (mp3/wav/m4a/aac/flac) or video (mp4/mkv/mov/webm)
format No srt (default) / ass / txt / json
language No auto (default) or zh/en etc. (ISO 639-1)
model No tiny / base (default) / small / medium / large-v3
burn No Burn into video (needs video input)

Output: subtitle file; plus *-sub.mp4 hard-subtitled video if burning.

Boundaries with adjacent skills

Skill Lane
auto-subtitle (this) Speech → subtitle file (+ burn-in)
subtitle-translate Subtitle translation
audio-denoise Denoising; no subtitles
video-editing General video editing
clipify Smart long-video clipping + subtitle burn

Fit

Before you start


auto-subtitle is part of the Aiglade Skill library. Invoke it from the Aiglade chat box in plain language.

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