DOCUMENT OPS

Split a multi-page fax into separate documents and file each into the right Dropbox folder

Watches a Dropbox inbox for scanned multi-page PDFs, detects where one document ends and the next begins, classifies each piece by type.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew PDF added to Dropbox /inboxDropboxDropbox
  • ActionDownload PDF and extract per-page textDropboxDropbox
  • ActionDetect document boundaries and classify each segmentOpenAI
  • LogicSplit PDF into one file per detected document
  • OutputUpload each split file to its matching type folderDropboxDropbox

What it does

Incoming faxes and bulk scans arrive as one long PDF that actually contains several unrelated documents stapled together by the scanner. This workflow breaks that PDF apart at the real document boundaries, figures out what each piece is (invoice, contract, ID, statement, other), and drops each split document into the correct Dropbox subfolder so nobody hand-sorts pages anymore.

When to use it

Use it when a shared fax line or office scanner dumps mixed batches into one Dropbox folder and someone currently opens each PDF to separate and refile the pages. Best for offices processing dozens of multi-document scans a day.

How it works

  1. 1A new PDF landing in the Dropbox `/inbox` folder triggers the run.
  2. 2The file is downloaded and its page text is extracted page by page.
  3. 3An LLM reads the pages and returns boundary markers plus a document type for each detected segment.
  4. 4A logic step splits the source PDF into one file per segment using those boundaries.
  5. 5Each split file is uploaded to the Dropbox folder that matches its type, named with type and date.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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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