Convert LinkedIn articles into video content with captions and distribution

LinkedIn creators face a brutal time trade-off. You write a thoughtful 1,500-word article, hit publish, and then watch engagement plateau. The obvious solution is to repurpose that content as short-form videos, carousels, and clips across TikTok, Instagram, and YouTube Shorts. But the conversion work is tedious: script the voiceover, generate a video, cut it into snippets, add captions, schedule each one. By the time you've finished, you've lost three hours and your momentum. This workflow eliminates that friction. You write once on LinkedIn. Everything else, video generation, clipping, captioning, and multi-platform scheduling, happens automatically. No copy-pasting links. No manual video uploads. No re-writing post copy for each platform. What makes this practical is that each tool handles one job well, and orchestration glue ties them together without requiring you to babysit the process. The result is a single article becoming five to ten pieces of ready-to-publish content within minutes.

The Automated Workflow

The workflow starts with a LinkedIn article and ends with scheduled posts across multiple platforms. Here's the sequence: 1. You publish an article on LinkedIn (or use a webhook to detect a new article).

2. An orchestration tool extracts the article text and identifies key sections.

3. ElevenLabs converts a summary or full text into audio.

4. Hour One generates a video using that audio plus a virtual presenter.

5. Clipwing cuts the video into shorter segments optimised for each platform.

6. An AI caption tool or Clipwing's own captioning adds burned-in subtitles.

7. SocialBu schedules clips and metadata across LinkedIn, TikTok, Instagram, and YouTube. n8n is the best orchestration choice here because it has native integrations for ElevenLabs, webhooks for monitoring LinkedIn, and HTTP nodes for Hour One and Clipwing APIs. It also runs on your own infrastructure, which matters when handling video files. Start with a webhook trigger that watches for new LinkedIn articles. LinkedIn's API doesn't natively push new article events, so you'll either poll LinkedIn's API every 15 minutes or have a manual trigger. For simplicity, use a manual trigger to begin:

CopyPOST /webhook/linkedin-to-video
Content-Type: application/json { "article_url": "https://linkedin.com/feed/update/urn:li:article:123456", "article_title": "Why Your Sales Process Needs AI", "article_body": "Paragraph 1... Paragraph 2..."
}

In n8n, add an HTTP Request node that calls the LinkedIn Article Parser or use a Claude model to extract structure:

CopyPOST https://api.anthropic.com/v1/messages
Content-Type: application/json
Authorization: Bearer YOUR_CLAUDE_API_KEY { "model": "claude-opus-4.6", "max_tokens": 1024, "messages": [ { "role": "user", "content": "Extract a 2-sentence summary suitable for a video voiceover from this LinkedIn article: [ARTICLE TEXT]. Focus on the core insight." } ]
}

Claude Opus 4.6 is strong for summarisation; Claude Sonnet 4.6 is cheaper and sufficient if you're on a tight budget. Extract the summary into a variable. Next, send that summary to ElevenLabs for text-to-speech:

CopyPOST https://api.elevenlabs.io/v1/text-to-speech/{VOICE_ID}
Content-Type: application/json
xi-api-key: YOUR_ELEVENLABS_API_KEY { "text": "Why Your Sales Process Needs AI. Most sales teams are still using spreadsheets and email to track deals. It's costing them weeks of lost productivity.", "model_id": "eleven_turbo_v2_5", "voice_settings": { "stability": 0.5, "similarity_boost": 0.75 }
}

Set stability and similarity_boost to moderate values; too high and the voice sounds robotic. Save the audio file URL. Now send the audio and a topic prompt to Hour One to generate a video with a virtual presenter. Hour One's API accepts scripts or audio; pair your voiceover with a topic keyword:

CopyPOST https://api.hourone.com/api/videos
Content-Type: application/json
Authorization: Bearer YOUR_HOUR_ONE_API_KEY { "input": { "audio_url": "https://elevenlabs-file.com/audio-123.mp3", "presenter_choice": "professional_female", "background_style": "corporate_blue", "brand_logo": "https://yoursite.com/logo.png" }
}

Poll the status endpoint until the video is ready (Hour One usually takes 2-5 minutes). Store the video URL. Once the video is generated, send it to Clipwing to cut it into platform-specific segments. Clipwing accepts a video URL and returns multiple clips:

CopyPOST https://api.clipwing.com/v1/clips/generate
Content-Type: application/json
Authorization: Bearer YOUR_CLIPWING_API_KEY { "video_url": "https://hourone-output.com/video-123.mp4", "target_platforms": ["instagram_reels", "tiktok", "youtube_shorts"], "add_captions": true, "caption_style": "white_bold", "caption_language": "en"
}

Clipwing returns an array of clip objects with URLs and metadata. Each clip is already optimised for aspect ratio and duration. Finally, loop through each clip and send it to SocialBu for scheduling. SocialBu accepts bulk uploads with platform-specific copy:

CopyPOST https://api.socialbu.com/v1/posts/bulk
Content-Type: application/json
x-api-key: YOUR_SOCIALBU_API_KEY { "posts": [ { "video_url": "https://clipwing-output.com/clip-1.mp4", "platforms": ["instagram", "tiktok"], "caption": "Why AI is transforming sales teams. Read the full article on our blog.", "hashtags": ["#AI", "#Sales", "#SalesOps"], "schedule_time": "2026-03-15T10:00:00Z", "call_to_action": "link", "cta_url": "https://linkedin.com/feed/update/urn:li:article:123456" }, { "video_url": "https://clipwing-output.com/clip-2.mp4", "platforms": ["youtube"], "caption": "Sales productivity is broken. Here's why AI fixes it.", "schedule_time": "2026-03-16T10:00:00Z" } ]
}

Schedule clips across different days to avoid platform saturation and improve reach. SocialBu will publish on the scheduled dates automatically. In n8n, the complete workflow looks like this: 1. Webhook trigger (manual or API).

2. Extract article via Claude.

3. Text-to-speech with ElevenLabs.

4. Video generation with Hour One (with polling loop).

5. Clipping with Clipwing.

6. Loop node iterating through clips.

7. Batch POST to SocialBu.

8. Error notification via email or Slack if any step fails. Add error handlers at the ElevenLabs and Hour One steps; audio generation and video rendering are the most likely to time out or fail. If Hour One fails, log the article and send a Slack alert so you can retry manually.

The Manual Alternative

If orchestration feels like overkill for occasional articles, you can do this in four steps: 1. Write your article and publish on LinkedIn.

2. Open ElevenLabs, paste your article summary, and generate audio (2 minutes).

3. Use Hour One's web dashboard to upload the audio and generate a video (5 minutes).

4. Download the video, upload to Clipwing manually, and download clips.

5. Log into SocialBu and upload clips with captions and scheduling (10 minutes). Total time: roughly 20 minutes versus 2 minutes with automation. If you publish fortnightly, manual is acceptable. If you publish weekly, automation pays for itself immediately.

Pro Tips

Rate limits and queuing.

ElevenLabs has a character limit per request (5,000 characters) and a concurrency limit (typically 5 concurrent requests on free plans).

For longer articles, split the text into paragraphs and chain multiple TTS calls. Use n8n's Queue node to serialise requests if you hit rate limits.

Video generation timeouts.

Hour One can take up to 10 minutes for complex videos. Don't set your n8n polling timeout to less than 15 minutes. Add exponential backoff; start polling every 10 seconds, then every 30 seconds, then every minute.

Caption accuracy.

Clipwing's caption engine sometimes misses context. Spot-check the first few clips. If captions are off, use a manual caption review step in n8n where you pause the workflow and ask for approval before scheduling.

Cost optimisation.

ElevenLabs Turbo v2.5 is cheaper than the standard model and sufficient for voiceovers. Hour One pricing scales with video length; keep summaries under 60 seconds. Clipwing charges per video; batch multiple articles and process them on a schedule rather than in real-time.

Fallback handling.

If any API fails, store the article in a Google Sheet or Airtable as a backup. This prevents lost articles and gives you a queue to retry later.

Cost Breakdown