DOCUMENT OPS

Verified form extraction with S3 archive and Postgres index

Extracts fields from scanned forms in Dropbox, archives the original to S3 only after the data is verified into a Postgres index.

CategoryDocument Ops
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew scanned form in DropboxDropboxDropbox
  • ActionDownload file from DropboxDropboxDropbox
  • ActionExtract fields and confidence via Hugging FaceHugging FaceHugging Face
  • LogicVerify required fields and confidence
  • ActionInsert verified record into Postgres indexPostgreSQLPostgres
  • OutputArchive original to S3 and stamp archive keyAWS S3

What it does

This workflow couples extraction with durable archival: it pulls fields from a scanned form, indexes the structured record in Postgres, and only once that write succeeds does it copy the original document to an S3 archive bucket and back-link the archive path onto the record.

When to use it

Use it when scanned documents must be retained for compliance or audit and you need a guarantee that nothing is archived as processed unless its data actually made it into the system of record.

How it works

  1. 1A new scanned form in Dropbox triggers the run.
  2. 2The file is downloaded from Dropbox.
  3. 3A Hugging Face model extracts the structured fields with confidence scores.
  4. 4A logic step confirms the required fields are present and meet the confidence threshold.
  5. 5The verified record is inserted into the Postgres document index.
  6. 6On a successful insert, the original file is uploaded to the S3 archive and the record is updated with the resulting archive key.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Connect AWS S3Buckets, objects, signed URLs.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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