Data retention for AI video results
Data retention is how long a tool keeps the inputs and outputs of a job before deleting them, which sets how long a result can be fetched again. From 4 source pages, read 2026-09-25; no maker pays to be listed.
Replicate removes API prediction inputs, outputs and logs after an hour by default. Google keeps Veo videos for two days, Higgsfield keeps output files for at least seven, and Kling AI clears results after 30.
Short retention protects privacy and costs the caller a download step.
Longer retention helps a review cycle but still ends; none of these tools keeps API results for good.
Apps that keep finished work in an account follow different rules from their APIs; Replicate notes that predictions created in its web interface are kept indefinitely.
Match the retention window to the slowest step of the pipeline, usually human review, and store the file before the window closes.
| Tool | Hook | What the documentation says |
|---|---|---|
| Replicate | Download | Output files from API predictions removed after an hour by default |
| Google Veo | Download | Generated videos kept on the server for two days, then removed |
| Higgsfield | Download | Output files available for at least seven days |
| Kling AI | Download | Generated results cleared after 30 days |
Inclusion rule. Readings from the register used on this page. Order. The order the text takes them in.
1As the documentation puts it
are automatically removed after an hour, by default
Replicate, documentation: data retention
Generated videos are stored on the server for 2 days, after which they are removed.
Google, Gemini API documentation: Veo
Output files are available for at least seven days.
Higgsfield, API documentation
generated results will be cleared after 30 days. Please make sure to save them promptly.
Kling AI, API documentation: callback protocol
- Automatic data clean upOutput files from API predictions removed after an hour by default
- LimitationsGenerated videos kept on the server for two days, then removed
- OverviewOutput files available for at least seven days
- Callback payloadGenerated results cleared after 30 days
2One tool in the same pipeline
Read against “Data retention”, this is how SceneMixer describes the matching stage of its own pipeline:
SceneMixer separates the script language from the production language: the output (episode outlines, storyboards, on-screen text) follows your interface language, and target-region localization adapts character names, casting, and scenery for Western, East Asian, Southeast Asian, or Latin American audiences.
SceneMixer, Turn a Novel into a Video Series with AI — “Can I turn a Chinese web novel into an English-language drama?” (read 2026-10-13)
An AI short drama is a serialized show of 60–120 second vertical episodes whose cast, sets and footage are generated by AI. Making one takes six steps: analyze the script into episodes, lock a consistent cast with reference art, localize for your market, write and edit storyboards, generate each 4–15 second shot, then composite and publish.
SceneMixer, How to Make an AI Short Drama, Step by Step (read 2026-10-13)