CONTENT CREATION
Auto-Subtitle and Dub New Course Videos on Dropbox Upload
Watches a Dropbox course-videos folder, transcribes each new lesson, generates translated subtitle tracks plus AI voice dubs in your target languages.
How it runs
The automated pipeline, trigger to output.
- TriggerNew video added to Dropbox course-videos folderDropbox
- ActionTranscribe audio with Hugging Face WhisperHugging Face
- LogicSkip non-video files; continue for mp4/mov
- ActionTranslate and time subtitles per target languageHugging Face
- ActionGenerate dubbed voice tracks with ElevenLabsElevenLabs
- OutputStore subtitles and dubs to R2 by lessonCloudflare R2
What it does
When an instructor drops a new lesson video into a shared Dropbox folder, this pipeline produces a complete localized package: a source-language transcript, translated `.srt` subtitle files, and dubbed audio tracks in each target language, all archived to R2 under a stable per-lesson key.
When to use it
Use it when you publish course content regularly and want localization to happen the moment a video lands, instead of batching it manually. Best for teams with a fixed set of target languages defined once.
How it works
- 1A new file in the Dropbox `/course-videos` folder fires the trigger.
- 2The video audio is sent to Hugging Face Whisper for source-language transcription with word timings.
- 3Branch on file type: skip non-video files, continue for `.mp4`/`.mov`.
- 4For each configured target language, the transcript is translated and timed into an `.srt` subtitle file.
- 5ElevenLabs generates a dubbed voice track per language from the translated text.
- 6All subtitle files and audio dubs are written to R2 under `lessons/{lessonId}/{lang}/`.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect ElevenLabsText-to-speech, voice cloning.
- 4Connect Cloudflare R2Object storage, S3-compatible.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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