DOCUMENT OPS
Dropbox scanned form to Airtable intake with confidence gate
Watches a Dropbox folder for new scanned forms, extracts fields with a Hugging Face document model.
How it runs
The automated pipeline, trigger to output.
- TriggerNew file added to Dropbox intake folderDropbox
- ActionDownload file contents from DropboxDropbox
- ActionExtract fields and confidence with Hugging Face modelHugging Face
- LogicCompare minimum field confidence to threshold
- ActionCreate confirmed intake record in AirtableAirtable
- OutputRoute low-confidence record to Airtable review queueAirtable
What it does
Every scanned PDF or image dropped into a Dropbox intake folder is read by a document-understanding model, its key fields are pulled out, and the result is split by extraction confidence: clean records land in Airtable automatically, while uncertain ones are flagged for a human to check.
When to use it
Use it when your team receives paper or scanned intake forms (applications, registrations, order sheets) and you want structured data without typing every field by hand — but you refuse to let a bad OCR read silently corrupt your records.
How it works
- 1A new file in the watched Dropbox folder fires the trigger.
- 2The file contents are downloaded from Dropbox.
- 3A Hugging Face document-question-answering model extracts the target fields (name, date, ID, amounts) and returns a per-field confidence score.
- 4A logic step computes the minimum field confidence and compares it to your threshold.
- 5If every field clears the bar, the record is created in Airtable as a confirmed intake.
- 6If any field is below threshold, the record is written to an Airtable review queue with the raw values and the file link for a person to correct.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect AirtableBases, tables, views, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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