BOOKOLY n8n INTEGRATION: AUTOMATE BOOKOLY WITH N8N

The Rotate a Video action lets you programmatically rotate any video file by a specified degree—perfect for correcting orientation issues or creating stylized effects in your automated pipelines. This is particularly valuable when processing user-generated content where videos may be uploaded in incorrect orientations.

Key parameters:

• Video - Name: A text field where you assign an identifier to the video being processed. This is required and helps track outputs in complex workflows.
• Video - URL: The direct URL to the source video file. This required text field accepts any publicly accessible video URL.
• Video - Mute: An optional toggle switch that silences the video's audio track during processing—useful when you only need the visual content.
• Video - Rotation (Degrees): The required numeric input specifying rotation angle. Accepts standard values like 90, 180, or 270 degrees.
• Wait for Completion: An optional toggle determining whether n8n waits for the rotation to finish before proceeding to subsequent nodes.
• Webhook URL: An optional field for receiving notifications when processing completes—ideal for async workflows.

Use cases:

• Automatically correct portrait videos uploaded in landscape orientation
• Rotate screen recordings to match your standard output format
• Process batches of videos with consistent orientation before publishing

This action automatically analyzes a video and splits it into individual scenes based on visual detection algorithms. It's incredibly powerful for content repurposing workflows where long-form videos need to be broken into digestible clips.

Key parameters:

• Video - Name: Optional text field to identify the video being processed.
• Video - URL: The required URL pointing to your source video file.
• Video - Mute: Optional toggle to mute audio during the split operation.
• Split - Mode: A required dropdown that determines how scenes are detected—typically "Auto (Scene Detection)" for AI-powered analysis.
• Split - Min Scene Duration (Sec): Required numeric input setting the minimum length for each resulting scene. Prevents overly short clips.
• Split - Max Scene Duration (Sec): Required numeric input defining the maximum scene length—ensures clips don't exceed your desired duration.

Use cases:

• Break down webinar recordings into topic-specific segments
• Create social media clips from longer YouTube videos automatically
• Segment training videos into chapter-based modules for LMS platforms

The Crop a Video action extracts a specific rectangular region from your video, defined by coordinates and dimensions. This is essential for reformatting content across different aspect ratios or removing unwanted areas from footage.

Key parameters:

• Video - Name: Required text field for naming the video.
• Video - URL: Required URL to the source video.
• Video - Mute: Optional toggle to silence audio.
• Crop - X Coordinate: Required numeric value defining the horizontal starting point of your crop area.
• Crop - Y Coordinate: Required numeric value for the vertical starting point.
• Crop - Width: Required numeric input specifying the width of the cropped region in pixels.

Use cases:

• Convert 16:9 videos to 9:16 for TikTok/Reels automatically
• Remove watermarks or unwanted borders from video content
• Extract specific regions from multi-camera recordings

This action retrieves detailed information about a specific video using its unique identifier. It's useful for checking processing status, fetching metadata, or validating that a video exists before performing operations on it.

Key parameters:

• Video ID: The required text input where you provide the unique identifier of the video you want to retrieve. This ID is typically returned when you first process a video through Bookoly.

Use cases:

• Verify a video's processing status before triggering downstream actions
• Fetch video metadata for logging or database updates
• Validate video existence in conditional workflow branches

The Frame a Video action extracts a single still image from a video at a precise timestamp. This is invaluable for generating thumbnails, preview images, or capturing specific moments from video content automatically.

Key parameters:

• Video - Name: Optional text field for identification purposes.
• Video - URL: Required URL pointing to the source video.
• Video - Timestamp (Seconds): Required numeric input specifying exactly where to capture the frame—down to the second.
• Wait for Completion: Optional toggle to pause workflow execution until the frame is extracted.
• Webhook URL: Optional text field for async completion notifications.

Use cases:

• Generate thumbnail images for video libraries automatically
• Capture key moments from webinars for social media posts
• Create preview frames at regular intervals for video scrubbing interfaces

This action separates the audio track from a video file, outputting it as a standalone audio file. Perfect for podcast creation, transcription workflows, or any scenario where you need audio without the visual component.

Key parameters:

• Video - Name: Required text input for naming the video source.
• Video - URL: Required URL to the video file.
• Wait for Completion: Optional toggle to wait for extraction to finish.
• Webhook URL: Optional field for completion notifications.

Use cases:

• Convert video interviews into podcast episodes automatically
• Extract audio for transcription services in content workflows
• Create audio-only versions of training videos for mobile learning

The Mute a Video action removes the audio track from a video entirely, producing a silent video file. This is useful for creating background visuals, preparing videos for custom voiceovers, or removing unwanted audio content.

Key parameters:

• Video - Name: Required text field for video identification.
• Video - URL: Required URL to the source video.
• Wait for Completion: Optional toggle for synchronous processing.
• Webhook URL: Optional text input for webhook notifications upon completion.

Use cases:

• Prepare videos for custom voiceover or music overlays
• Remove background noise or copyrighted audio before publishing
• Create silent loops for digital signage applications

This powerful action generates a complete slideshow video from a JSON configuration, allowing you to programmatically create videos from images or video clips with transitions and effects.

Key parameters:

• Video - Name: Required text field specifying the output video name.
• Video - Resolution: A required dropdown selecting output resolution (e.g., "Horizontal: Full HD 1920x1080").
• Video - Scenes (JSON): Required JSON-formatted text defining each scene. Each scene must include an asset object (with src and type), plus duration, mute, effect, and transition settings (with name and duration).

Use cases:

• Generate product showcase videos from image catalogs automatically
• Create daily recap videos from photo collections
• Build dynamic video content from database-driven assets