Professionals
Build a repeatable subtitle workflow
Handle a recurring folder of media with explicit preparation, review and export steps.
Open the free workspace
Prepare the next batch with the same steps
Three five-minute episodes need reviewed subtitles in another language. Select the files and the required work, confirm the credit estimate, then inspect each completed result before export. Each billable content item is priced separately.
Use the workspace for review and the CLI for repeatable local-folder work. The Python client exposes project and operation APIs for your own integrations. These are individual workflows; the product does not promise team accounts, approval queues or service levels.
The village wakes as the morning light reaches the valley.
The village wakes as the morning light reaches the valley.
- episode-1.mp4Completed
- episode-2.mp4Completed
- episode-3.mp4Completed
These completed rows are prepared examples. They do not run jobs or indicate processing speed.
Connect a local folder to your process
The CLI requires Python, an API token, FFmpeg and ffprobe. Sync the local folder before starting an operation; review the plan and required credits when prompted. Follow the guides for watching results and applying exports.
subft project sync /media/library --create
subft operation start /media/library --lang deWhat a small recurring batch costs
3 recordings of 5 minutes each, each transcribed and translated into one additional language
- Speech transcriptionCredits: 45
- €0.45
- Subtitle translationCredits: 30
- €0.30
- Example totalCredits: 75
- €0.75
Importing, editing and subtitle export are free. AI is optional and paid by use.
This example assumes €0.01 per credit from the 500-credit pack (€5.00). Each billable content item and required operation is rounded separately.
The workspace confirms required credits before launch. Checkout determines applicable taxes and the final credit purchase total.
Estimate your own AI costWill repeating a job be free?
Do not assume it will. Review the actual operation plan and required credits before every launch. Editing an existing subtitle result is free; another AI operation can require more credits.
Can I automate the workflow?
The CLI supports repeatable folder operations and structured results. The Python client provides APIs and optional local-media helpers. Your integration handles credentials, prerequisites, result checks and exports.
What happens when an item has an issue?
Inspect the operation’s per-file state and completed results before applying exports. The CLI supports explicit partial-result handling. Check the documentation rather than assuming every file in a batch succeeded.