CHATBOTS

Voice-Note Field Report Intake to Airtable

Transcribes a field worker's voice memo, extracts the structured details, and files a new field report row in Airtable matched to the right site record.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps7
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew voice memo uploaded to watched folderDropboxDropbox
  • ActionTranscribe audio to textElevenLabsElevenLabs
  • ActionExtract structured report fields as JSONOpenAI
  • ActionLook up matching site recordAirtableAirtable
  • LogicConfident site match found?
  • ActionCreate linked field-report row (or Unmatched holding record)AirtableAirtable
  • OutputSend confirmation with record linkDropboxDropbox

What it does

Field staff record a quick voice memo from a job site instead of typing a form. The workflow transcribes the audio, pulls out the structured facts (site name, issue type, severity, action taken), finds the matching site record in Airtable, and creates a linked field-report row. The worker gets a confirmation back with the row link.

When to use it

Use this when crews submit observations from the field and you want clean, searchable records instead of audio files nobody listens to. Good for facilities inspections, utility crews, property managers, and agricultural scouts who can't stop to fill out a form.

How it works

  1. 1A voice memo is uploaded to a watched folder, kicking off the run.
  2. 2ElevenLabs transcribes the audio to text.
  3. 3OpenAI extracts structured fields (site, category, severity, summary, action) as JSON.
  4. 4A lookup queries Airtable for the site whose name best matches the transcript.
  5. 5A branch checks whether a confident site match was found.
  6. 6Airtable creates a field-report row linked to that site (or to an "Unmatched" holding record).
  7. 7The worker receives a confirmation with the new record link.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AirtableBases, tables, views, automations.
  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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