Integration

Connect Bannerbear to SLF

When something happens in Bannerbear, your agent does the next thing in SLF. Describe it in plain language and the automation is built, tested on every branch and kept running.

Bannerbear6 triggersBannerbear8 actionsSLF1 action

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Build it

What do you want Bannerbear and SLF to do together?

Describe it and your agent reads both APIs, builds the automation, tests every branch and ships it. The list below is what exists today, not the limit.

Ask the assistant

You'll sign in before anything runs. What you typed comes with you.

Or work from Claude Code

Install the APIANT plugin for Claude Code and build, edit, test and read run history from your terminal. Every plan gets this, including free, and it spends no assistant credits.

Connect Claude Code

Everything your agent can do with Bannerbear and SLF

Triggers and actions 6 triggers · 9 actions

Trigger
New Animated Gif
Triggers when a new animated gif has 100% rendered
Trigger
New Image
Triggers when a new image has been generated.
Trigger
New Movie
Triggers when a new movie has 100% rendered
Trigger
New Template
Triggers when there's a new template.
Trigger
New Video
Triggers when a new video has 100% rendered
Trigger
New Video Template
Triggers when a new Video Template is created
Action
Create Animated Gif
Creates an Animated Gif
Action
Create Image
Generates a new Image
Action
Create Movie
Joins multiple clips / images into a movie with transitions
Action
Create Screenshot
Take a screenshot of a website
Action
Find Animated Gif
Finds an Animated Gif
Action
Find Image
Finds an Image.
Action
Find Movie
Returns a single movie by its unique identifier, including its render status, progress and the final movie URL once rendering has completed.
Action
Join PDF Files
Join multiple PDF files into a single PDF
Action
Get Stadt-Land-Fluss data
Fetch the full German Stadt-Land-Fluss (city/country/river word-game) reference dataset via GET https://slftool.github.io/data.json. Static, unauthenticated, single-request JSON blob keyed by letter, each letter holding arrays for stadt (city), land (country), fluss (river), name, beruf (profession), tier (animal), and marke (brand). No query parameters — the vendor exposes no filtering or search; the whole dataset is returned every call and any per-letter/per-category lookup must be done client-side on the response.

Each app on its own

The other way round: SLF to Bannerbear