This tutorial is an original manually prepared language version. It does not use the article live-translation service.
Quick answer
Define the source range, duration rule and clip-count mode, run a small test, then export the full batch with a predictable naming system. Review the batch in order and remove weak or duplicate clips before publishing.
Use the relevant BestAI tool with one short test file or paragraph first. Confirm the result, then process a larger batch. This prevents a small setting mistake from being repeated across many clips or a long narration.
Why this tutorial matters
Batch export saves time only when the outputs remain understandable. Without clear names, settings and review order, creators can publish duplicates, use the wrong source segment or lose track of which clip was approved.
The BestAI workflow is designed around a simple rule: one active control should own one decision. When a mode overrides another setting, the conflicting control is disabled in the interface and ignored by the backend. This makes the plan shown on screen match the actual result.
Recommended starting settings
| Setting | Practical starting point |
|---|---|
| Test batch | Two or three clips. |
| Placement | Sequential for full coverage; evenly spaced for sampling. |
| File naming | Project, source, sequence and version. |
| Review order | Watch in source order before ranking by quality. |
| Archive | Keep the source and approved masters separate from temporary outputs. |
These values are starting points, not universal rules. Source quality, speaking style, platform, audience and the purpose of the video can require a different choice.
Step-by-step tutorial
Step 1: Define the batch goal
Decide whether the batch should cover a full podcast, produce a fixed client deliverable or explore several moments. The goal determines manual or automatic count and placement.
Step 2: Lock the active settings
Record source range, duration mode, crop, subtitle style and audio choice. A batch should not contain accidental setting changes unless the files are clearly separated.
Step 3: Process a small sample
Use a beginning, middle and difficult section. Check framing, timing and subtitle behavior before committing server time and storage to the full batch.
Step 4: Use a predictable filename
Include project name, clip number and version. For example: podcast-episode12-short-03-v1.mp4. Avoid names such as final-final-new.mp4.
Step 5: Review in source order
First confirm continuity and duplicates. Then rank the clips by usefulness, hook and clarity. Mathematical sequence does not equal publishing priority.
Step 6: Archive the approved set
Move approved files into a clean folder and keep rejected or temporary files separate. Save the settings used so a later revision can be reproduced.
Quality-control checklist
- The batch goal and count are written down.
- A small sample passed review.
- All files use consistent names.
- Duplicate ideas are removed.
- Approved and temporary files are separated.
- The source and settings are preserved.
Common mistakes to avoid
- Running the maximum batch before testing.
- Mixing crop or subtitle styles without recording the change.
- Publishing clips in generated order without ranking quality.
- Using vague filenames.
- Deleting the source after the first export.
Frequently asked questions
Should automatic clips be published in the same order?
Not necessarily. Review them in source order, then publish according to quality and topic relevance.
How large should a batch be?
Use the smallest batch that fits the workflow and server capacity. Important projects benefit from staged review.
Can I change settings for one clip?
Yes. Process exceptions separately and name them clearly so the batch remains understandable.
Practical example
A 40-minute podcast is divided into twelve sequential clips. After review, four repeat earlier points and two begin without enough context. The approved six are renamed by topic and sequence, then moved to a publishing folder while the raw batch remains archived.
Build a simple approval status
Use folders or a spreadsheet with Generated, Review, Approved, Needs Revision and Published states. This prevents a technically completed export from being mistaken for a final publishable asset. ## Final review note
Before publishing, open every approved file from its final folder rather than from the temporary job page. This catches missing files, wrong versions and incomplete downloads. Keep a simple checklist showing title, caption status, thumbnail status and publish date so the production batch does not become a publishing mistake.
Final takeaway
A batch is a production system, not just many files. Test first, lock settings, name clearly, review in order and separate approved results from temporary output.