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AI Content Repurposer: 1 Transcript → 20 Posts

October 8, 2026 · Intermediate · Automation

How it works

Your one-click content multiplication machine: paste a video or podcast transcript once, and an AI agent rewrites it into ~20 platform-native pieces — an X thread, a LinkedIn post, a Facebook post, an Instagram caption, a newsletter section, quote cards, Shorts/Reels scripts, and a blog summary — all in your brand voice. Every piece is logged to Google Sheets and a per-platform count lands in your Telegram:

1. STEP 1 — Trigger + paste your transcript — On Manual Trigger fires, CONFIG — Content Source supplies the source_title, the transcript_text you paste in, your brand_voice, target_audience, and the platforms_to_generate list, and CONFIG — Notifications holds your Telegram chat ID.
2. STEP 2 — Validate + log the source — Sheets — Log Source NEW appends the transcript to the log with status NEW, then IF — Transcript Not Empty checks you actually pasted something. An empty transcript takes the failure branch: Telegram — Empty Transcript Error tells you to fix the config, so a blank run never wastes API calls.
3. STEP 3 — AI repurposes the content — Sheets — Status PROCESSING flips the run status, then AI Agent — Repurpose Content (gpt-4o-mini with Structured Output Parser — Content Plan) returns x_thread, linkedin_post, facebook_post, instagram_caption, newsletter_section, quote_cards, shorts_scripts, and blog_summary — written in your brand voice, for your target audience, with no invented facts.
4. STEP 4 — Split + log every piece — Split Output Per Platform turns the structured output into one item per post, Sheets — Log Content Items appends each row with status PROCESSING, Build Completion Summary counts the pieces per platform, and Sheets — Log RUN_DONE closes the run.
5. STEP 5 — Completion digest — Telegram — Repurposing Complete sends the per-platform counts. Copy each row’s Content cell from the sheet and publish it wherever you like — X, LinkedIn, Facebook, Instagram, your newsletter.

Status flow in Sheets: NEW → PROCESSING → DONE

Set up steps

You’ll need:

• n8n (self-hosted or cloud) — n8n.io
• An OpenAI API key — platform.openai.com/api-keys
• Google Sheets OAuth2 credentials — n8n Credentials → Google Sheets OAuth2
• A Telegram bot — message @BotFather, send /newbot, copy the token; get your chat ID from @userinfobot

Steps:

1. Import the workflow — in n8n, Workflows → Import from File → select ai-content-repurposer.json.
2. CONFIG — Content Source — open the Set node and fill in:
   • source_title — e.g. Ep 12 — Automating Client Onboarding (used in the sheet log and the Telegram digest)
   • transcript_text — paste the full video/podcast transcript here (replaces PASTE_YOUR_TRANSCRIPT_HERE)
   • brand_voice — e.g. practical, no-fluff, contrarian (the AI writes every piece in this voice)
   • target_audience — e.g. solopreneurs and creators growing with AI automation
   • platforms_to_generate — comma list of the output formats (default covers all eight)
3. Content_Repurposing_Log sheet — create a Google Sheet with a tab named Content_Repurposing_Log and headers: Timestamp | Source Title | Content Type | Content | Status | Notes. The four Sheets nodes (Sheets — Log Source NEW, Sheets — Status PROCESSING, Sheets — Log Content Items, Sheets — Log RUN_DONE) use the log tab name directly; select your Google Sheets OAuth2 credential and pick the sheet in each one.
4. CONFIG — Notifications — paste your chat ID into telegram_chat_id (replaces PASTE_YOUR_TELEGRAM_CHAT_ID).
5. Connect OpenAI + Telegram — select your OpenAI credential in OpenAI Chat Model — Repurposer (model is gpt-4o-mini by default), and your Telegram Bot API credential in Telegram — Repurposing Complete and Telegram — Empty Transcript Error.
6. Test, then activate — run once manually, confirm the sheet shows NEW → PROCESSING → DONE and every piece appears as its own row, check the Telegram digest counts, then activate the workflow.

Note: a full 30-minute transcript costs roughly 3 cents per run on gpt-4o-mini (about 1M input tokens per $0.15). Long transcripts are automatically truncated to 500 characters in the source-log row so the sheet stays readable — the AI still sees the full text.

Customize it

• Auto-transcribe from YouTube — add an HTTP Request node to a transcription API (or a Whisper step) before the config, so pasting a video URL is all you need instead of a transcript.
• Platform toggles — keep a Platforms sheet (platform, enabled) and add an IF per format before Split Output Per Platform, so one run can target only the platforms you publish on that day.
• Schedule it weekly — swap the Manual Trigger for a Schedule Trigger that reads the week’s newest transcript from a Content Queue sheet and repurposes each one automatically.
• Human review gate — change the Status the content items log with from PROCESSING to NEEDS_REVIEW, and only flip to DONE after you’ve edited each piece.
• Auto-post the X thread — add an X (Twitter) node after Split Output Per Platform that posts items with Content Type = x_tweet in order, turning the digest into a publish pipeline.

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