Podcast to multilingual subtitles in one step

Описание и применение

Автоматический актор Apify преобразует подкаст в субтитры на нескольких языках за один шаг, сохраняя точные временные метки.

Задача

Transcribing a podcast and generating accurate, timestamp‑aligned subtitles in multiple languages typically requires three separate steps: transcription, cue segmentation, and translation, which can break timings and merge cues.

Результат

For a 4 min 57 s NASA podcast, the Actor produced 87 cues in English, Spanish, and Traditional Chinese with identical timestamps, in 75 s of processing time and $0.05 cost.

Рабочий процесс

• Provide podcast RSS feed, episode filter, and list of target languages via JSON input
• Actor fetches episode audio, transcribes with Whisper large‑v3‑turbo
• Actor segments transcript into subtitle‑sized cues (≤7 s, ≤2 lines) using word timings
• Actor translates each cue into requested languages, preserving timestamps
• Actor outputs dataset row with transcript, segments, word timestamps, and SRT/VTT URLs for each language

Доказательства

Every cue in the translated files has exactly the same timestamps as the English one.

Источник

The run took 75 seconds for transcription and both translations (81 s for the whole run).

Источник

Price: 5 audio minutes × $0.006 + 5 minutes × 2 languages × $0.002 = $0.05

Источник