DeepL + Google Sheets: translations logged automatically
Send source text to DeepL and log the translated result in Google Sheets. Cut copy…
Turn one piece of content into manyβblogs, LinkedIn posts, email snippets, and scriptsβwithout extra busywork. Automate drafting, formatting, approvals, and publishing in n8n.
A workflow starts by grabbing a source asset, like a Google Doc, YouTube link, or a pasted transcript. It then uses AI (often OpenAI) to summarize, pull themes, and rewrite into multiple formats: LinkedIn posts, email blurbs, hooks, or short-video scripts. Next, it applies your rulesβtone, length, hashtags, CTAsβand routes drafts to Notion or Docs for approval. Once approved, it schedules or publishes and logs everything for reuse.
Usually, no. Most Flowpast workflows are plug-and-play: connect your accounts, choose a template, and set a few options like brand voice and target channels. If you can run a campaign tool, you can run this. For advanced setups (custom prompts, multi-step approvals, or database syncing), a marketer or ops lead can still handle it with light guidance.
It often turns a 2-hour repurposing session into about 30 minutes of review and tweaks, because the drafting, formatting, and routing are done for you. The bigger win is consistency: you stop losing half a day to βmaking it fitβ every platform. Teams also cut rework by keeping prompts, brand rules, and templates in one place. Frankly, thatβs where the real savings show up.
Youβll need an n8n workspace and at least one source location (Google Docs, Notion, or a URL to a video/article). Most workflows also require an AI key, like OpenAI, and a destination such as LinkedIn. If you want approvals, add a shared Notion database or a Docs folder. For publishing at specific times, connect a schedule trigger and decide who gets notified in Slack.
Send source text to DeepL and log the translated result in Google Sheets. Cut copy…
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