Auto-Extract Order Numbers and Account IDs
AI scans customer emails to auto-populate order numbers, account IDs, invoices, and claims without manual entry.
This directory currently includes 37 recipes for the extract to structured pattern, across 12 roles. Extract-to-structured agents turn messy input into clean fields that another person or system can use. The source may be an email, invoice, form, image, document, or conversation. The output is a consistent record, such as a row, ticket, contact, or checklist. This pattern is valuable when information arrives in many formats but the downstream process needs the same facts every time. The examples show how teams can reduce copying while preserving a review point for missing or uncertain data. The key design decision is the target schema: define the fields, validation rules, and source link before asking an agent to extract anything. Start with a document type that has repeated structure and an existing owner for exceptions. Every example makes its inputs, output, and handoff concrete, so you can compare real workflow boundaries before adapting the pattern to your own tools and process.
AI scans customer emails to auto-populate order numbers, account IDs, invoices, and claims without manual entry.
Transcribes sales calls with AssemblyAI and uses OpenAI to extract client intent, interest scores, and upsell opportunities into Supabase.
Searches video footage for keywords by reasoning about visual traits, identifying matching clips, and returning the indexed results.
Every six hours, it scrapes insurance news, filters for keyword relevance.
Send job postings via Telegram to log them in Sheets with extracted details or request a market trends report.
New Typeform submission? The agent extracts the data and saves it directly to your Airtable base automatically.
Scans new Markdown blog posts in GitHub, uses GPT-4 to suggest categories and tags, and logs them to Google Sheets for review.
Searches video footage for keywords by reasoning about visual traits, identifying matching clips, and returning the indexed results.
Batch converts CAD/BIM files from a folder into XLSX/DAE using RvtExporter, verifies the outputs, and opens an HTML summary report.
Send an image to a Telegram bot and get the extracted text back instantly via OCR.
Exposes a secure GET endpoint to fetch all documents from a specified MongoDB collection, validating input and normalizing IDs.
Upload a list of SSM or NRICs to fetch matching Malaysia TINs in one batch for e-invoicing prep.
Receives e-commerce orders via webhook and appends them to a monthly tab in Google Sheets with status tracking.
Monitors Gmail for order emails, uses AI to extract details like number and status, then syncs them to Notion while preventing duplicates.
Adds new customer names and emails to a sheet to automatically send personalized feedback forms and log responses with timestamps.
Automatically maps new form fields to Airtable columns upon submission, eliminating manual data entry.
On successful Stripe payment, the agent fetches customer name, email, and product details via API for downstream processing.
New Sabre EDI files in Drive? The agent parses them using RAG context to generate structured AR and tax reports automatically.
Batches SSM numbers or NRICs from your spreadsheet to retrieve Tax ID Numbers for e-invoicing compliance.
Monitors Google Drive for new PDF invoices, uses AI to classify expenses and generate XML.
Send an invoice photo to your LINE bot and the agent extracts key fields into a Google Sheet ledger automatically.
Upload a list of SSM or NRICs to fetch matching Malaysia TINs in one batch for e-invoicing prep.
Ingests documents via OCR to extract data, then routes results by email and sends status updates on Telegram.
Analyzes input data with an LLM to identify key decision makers like heads of sales or VPs of revenue for outreach.
Pulls a contacts CSV from Google Drive and maps the data into your Notion database.
Provide customer examples, then the agent uses Manis.AI and an LLM to research and identify new leads matching your Ideal.
Receives meeting notes via webhook, uses Gemini to extract action items and decisions, then creates tasks in Google Tasks.
Monitors Gmail for order emails, uses AI to extract details like number and status, then syncs them to Notion while preventing duplicates.
One prompt triggers five parallel agents that research companies, find decision-makers, qualify leads.
Automates supplier quote requests, extracts pricing from attachments via AI.
Pulls active deals from Pipedrive, maps stage IDs to readable labels.
Send an invoice photo to your LINE bot and the agent extracts key fields into a Google Sheet ledger automatically.
Syncs Cal.com interview bookings to Google Sheets, formats times for Riyadh timezone, and auto-cleans blank or unmatched entries.
Upload a CV to auto-extract details via AI and pre-fill the application form for quick review.
Send job postings via Telegram to log them in Sheets with extracted details or request a market trends report.
Submits passport images via form for automated OCR extraction, validation, and QR code generation with results emailed to the recipient.
Monitors selected Instagram accounts for trending Reels, analyzes engagement with Gemini.
Scans new Markdown blog posts in GitHub, uses GPT-4 to suggest categories and tags, and logs them to Google Sheets for review.
Every six hours, it scrapes insurance news, filters for keyword relevance.
Imports a list of domains from a Google Sheet, fetches their Ahrefs traffic metrics via an SEO MCP server.
Automatically syncs your YouTube channel videos into a Google Sheet with titles, tags, thumbnails, and captions on a schedule.
Fetches video testimonials via HTTP and uses OpenAI to automatically convert the audio into text.
New Sabre EDI files in Drive? The agent parses them using RAG context to generate structured AR and tax reports automatically.
Uploads a blueprint to Google Drive and automatically extracts structured attributes into a new Google Sheet row via VLM Run.
Ingests documents via OCR to extract data, then routes results by email and sends status updates on Telegram.
Pulls a contacts CSV from Google Drive and maps the data into your Notion database.
Receives meeting notes via webhook, uses Gemini to extract action items and decisions, then creates tasks in Google Tasks.
Submits passport images via form for automated OCR extraction, validation, and QR code generation with results emailed to the recipient.
New Typeform submission? The agent extracts the data and saves it directly to your Airtable base automatically.
Automatically maps new form fields to Airtable columns upon submission, eliminating manual data entry.
Automates supplier quote requests, extracts pricing from attachments via AI.
Send an image to a Telegram bot and get the extracted text back instantly via OCR.
Automatically syncs your YouTube channel videos into a Google Sheet with titles, tags, thumbnails, and captions on a schedule.
Transcribes sales calls with AssemblyAI and uses OpenAI to extract client intent, interest scores, and upsell opportunities into Supabase.
Analyzes input data with an LLM to identify key decision makers like heads of sales or VPs of revenue for outreach.
Provide customer examples, then the agent uses Manis.AI and an LLM to research and identify new leads matching your Ideal.
Receives meeting notes via webhook, uses Gemini to extract action items and decisions, then creates tasks in Google Tasks.
One prompt triggers five parallel agents that research companies, find decision-makers, qualify leads.
Submit a call recording URL and the agent transcribes it, extracts deal details.
Pulls active deals from Pipedrive, maps stage IDs to readable labels.
It means converting unstructured material into named fields, records, or rows that can be checked and used downstream.
Yes. It can identify likely fields from documents and images, but important values should be validated against the source.
A clear schema, validation rules, source references, and a route for low-confidence or missing values.