CONTENT CREATION

Split published Notion copy into translatable strings on a linguist board

When a Notion source-copy page is marked Ready, extract each translatable string and create one card per string on a linguist review board, then ping the localization channel.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNotion page status set to Ready to LocalizeNotionNotion
  • ActionFetch page content and split into string blocksNotionNotion
  • LogicDrop empty, code, and do-not-translate blocks
  • ActionCreate one linguist-board card per stringNotionNotion
  • OutputPost handoff summary to #localizationSlack

What it does

Turns a finished source-copy page into a ready-to-translate work queue. It reads the Notion page, breaks the body into discrete translatable strings (one per heading, paragraph, button label, or list item), and files each as its own card on a Notion linguist board with status To Translate.

When to use it

Use it when content writers finish a page in Notion and hand it to localization. Instead of a translator copy-pasting from a long doc, every string becomes a trackable unit with its own review state, so nothing is silently skipped.

How it works

  1. 1A Notion property change to Status = Ready to Localize fires the trigger.
  2. 2The flow fetches the full page content and extracts each block as a candidate string.
  3. 3A filter drops empty blocks, code snippets, and strings already carrying a do-not-translate tag.
  4. 4For each remaining string it creates a card on the linguist board with the source text, page link, and character count.
  5. 5A Slack message posts to #localization with the page name and total string count handed off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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