Merlin Extract (Beta) connector
Automate Data Extraction and Document Processing with Merlin Extract
Connect Merlin Extract to your entire tech stack and turn unstructured documents into structured data — no manual effort required.
What can you do with the Merlin Extract (Beta) connector?
Merlin Extract lets teams pull structured data from unstructured documents, PDFs, emails, and web content using AI-powered extraction. When you connect Merlin Extract through tray.ai, extracted data flows directly into your CRMs, databases, data warehouses, and business applications the moment it's ready. Processing invoices, contracts, research reports, or customer documents? tray.ai handles the full pipeline from ingestion to downstream action.
Automate & integrate Merlin Extract (Beta)
Automating Merlin Extract (Beta) business process or integrating Merlin Extract (Beta) data is made easy with tray.ai
Use case
Automated Invoice and Accounts Payable Processing
Finance teams waste hours manually pulling line items, vendor details, and totals from PDF invoices. With Merlin Extract integrated via tray.ai, incoming invoices are automatically parsed and the structured data is pushed into your ERP, accounting software, or Google Sheets for immediate reconciliation and approval workflows.
Use case
Contract Metadata Extraction and CRM Enrichment
Sales and legal teams often need contract terms — renewal dates, parties, payment terms, clause summaries — stored in their CRM or contract management tools. Merlin Extract pulls this metadata automatically, and tray.ai routes it to Salesforce, HubSpot, or your document management system without manual review.
Use case
AI-Powered Resume and Candidate Profile Parsing
Recruiting teams dealing with high application volumes struggle to extract consistent candidate data from resumes in varying formats. Connect Merlin Extract to your ATS via tray.ai and it standardizes candidate profile data — skills, experience, education — syncing it automatically to tools like Greenhouse, Lever, or Workday.
Use case
Web and Document Research Data Aggregation
Research, competitive intelligence, and product teams often need to pull specific data points from reports, web pages, and documents at scale. Merlin Extract handles the extraction while tray.ai pushes structured results into Notion, Airtable, BigQuery, or Slack for team review and analysis.
Use case
Customer Document Onboarding Automation
Financial services, insurance, and SaaS companies routinely collect identity documents, application forms, and compliance paperwork during onboarding. Merlin Extract reads and structures this data, and tray.ai integrates it into your CRM, compliance platform, or KYC system to speed up onboarding without manual review.
Use case
Purchase Order and Procurement Data Sync
Procurement teams managing supplier relationships need purchase order data extracted from emails and attachments and synced into procurement platforms. Merlin Extract captures PO numbers, quantities, delivery terms, and vendor details, while tray.ai routes the structured output into NetSuite, SAP, or custom databases.
Use case
AI Agent Document Intelligence Pipelines
Teams building AI agents and intelligent assistants need a reliable way to feed structured, extracted content into LLM-based workflows. Merlin Extract handles the extraction, with tray.ai orchestrating the flow of structured data into vector stores, prompt pipelines, or downstream AI tools for retrieval-augmented generation and decision support.
Get started with our Merlin Extract (Beta) connector today
If you would like to get started with the tray.ai Merlin Extract (Beta) connector today then speak to one of our team.
Merlin Extract (Beta) Challenges
What challenges are there when working with Merlin Extract (Beta) and how will using Tray.ai help?
Challenge
Handling Inconsistent Document Formats at Scale
Invoices, contracts, and forms arrive in dozens of different layouts — PDFs, scanned images, Word documents, email bodies. Building custom parsers for each format isn't sustainable, and small layout changes break fragile extraction rules.
How Tray.ai Can Help:
tray.ai's integration with Merlin Extract lets you use its AI-driven extraction, which adapts to varied document structures without maintaining brittle regex or template-based parsers. Configure the extraction schema once in tray.ai and Merlin Extract handles format variability automatically across the pipeline.
Challenge
Routing Extracted Data to Multiple Downstream Systems
Once data is extracted, teams typically need it in several systems at once — a CRM, a database, a notification tool, a workflow platform. Managing these fan-out data flows manually means custom code and constant maintenance.
How Tray.ai Can Help:
tray.ai's multi-step workflow engine lets a single Merlin Extract result be mapped and sent to multiple connectors in parallel — Salesforce, BigQuery, Slack, and Jira all in one workflow — with conditional logic determining exactly where each extracted field should land.
Challenge
Keeping Extracted Data in Sync When Source Documents Are Updated
Contracts get amended, invoices get revised, and application forms get resubmitted. Without a reliable update mechanism, systems end up holding stale extracted data that doesn't match the latest document version.
How Tray.ai Can Help:
tray.ai can trigger re-extraction workflows whenever a document is updated in Google Drive, Dropbox, or your document management system, passing the revised file back through Merlin Extract and using update-or-insert logic to keep downstream records accurate and current.
Challenge
Error Handling and Human Review for Low-Confidence Extractions
AI extraction isn't perfect. Low-quality scans or ambiguous documents can produce incomplete or uncertain results, and without a human-in-the-loop mechanism, bad data quietly enters downstream systems and causes reconciliation headaches.
How Tray.ai Can Help:
tray.ai workflows can inspect Merlin Extract confidence scores or missing fields and automatically route low-confidence extractions to a human review queue in Slack, Airtable, or your ticketing system before the data is written to production systems — stopping bad data before it spreads.
Challenge
Connecting Document Extraction to AI Agent and LLM Workflows
Teams building AI agents need structured, clean document data as input to their retrieval-augmented generation pipelines, but wiring together extraction APIs, vector stores, and LLM orchestration tools takes real engineering effort.
How Tray.ai Can Help:
tray.ai sits between Merlin Extract and your AI infrastructure — pushing extracted content to Pinecone, Weaviate, or OpenAI embeddings, and triggering LLM-based summarization or classification steps, all in a visual workflow without custom integration code.
Talk to our team to learn how to connect Merlin Extract (Beta) with your stack
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Start using our pre-built Merlin Extract (Beta) templates today
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Merlin Extract (Beta) Templates
Find pre-built Merlin Extract (Beta) solutions for common use cases
Template
Invoice Processing to Accounting System Sync
Automatically extract invoice data from incoming email attachments using Merlin Extract and sync line items, totals, and vendor details to QuickBooks, Xero, or NetSuite.
Steps:
- Trigger on new email attachment received in Gmail matching invoice keywords
- Send attachment to Merlin Extract to pull structured invoice fields
- Create or update vendor invoice record in QuickBooks with extracted data
- Post Slack notification to finance channel with invoice summary and approval link
Connectors Used: Merlin Extract (Beta), Gmail, QuickBooks, Slack
Template
Contract Upload to CRM Metadata Enrichment
When a contract is uploaded to Google Drive or Dropbox, extract key metadata with Merlin Extract and update the associated opportunity or account record in Salesforce.
Steps:
- Trigger on new file added to designated Google Drive contracts folder
- Pass document to Merlin Extract to identify parties, dates, and key terms
- Match extracted entity names to Salesforce account and update opportunity fields
- Create a Jira task for legal review if high-value contract clauses are detected
Connectors Used: Merlin Extract (Beta), Google Drive, Salesforce, Jira
Template
Resume Parser to ATS Candidate Profile Creator
Parse incoming resume submissions from email or a form submission, extract candidate attributes with Merlin Extract, and create structured candidate profiles in your ATS.
Steps:
- Trigger on new Typeform resume submission containing file upload
- Send resume file to Merlin Extract to pull name, skills, experience, and education
- Create new candidate record in Greenhouse with extracted structured data
- Log extracted candidate summary to Google Sheets for recruiter pipeline tracking
Connectors Used: Merlin Extract (Beta), Typeform, Greenhouse, Google Sheets
Template
Research Document Extraction to Airtable Knowledge Base
Schedule periodic extraction of key data points from research PDFs or web documents and populate a centralized Airtable knowledge base for team access.
Steps:
- Trigger on a schedule or when a new PDF is added to a Google Drive research folder
- Submit document to Merlin Extract with a custom extraction schema for target data points
- Insert extracted records as new rows in the designated Airtable knowledge base
- Send Slack digest to the research team with links to newly extracted entries
Connectors Used: Merlin Extract (Beta), Airtable, Slack, Google Drive
Template
Customer Onboarding Document to CRM and Compliance Platform Sync
Extract structured data from customer-submitted onboarding documents and push it to your CRM for account creation and to your compliance tool for KYC verification.
Steps:
- Trigger on new document submission via web form or file storage event
- Send document to Merlin Extract to capture customer identity and application fields
- Create or update contact and deal record in HubSpot with extracted data
- Send automated welcome or follow-up email via SendGrid based on extracted onboarding status
Connectors Used: Merlin Extract (Beta), HubSpot, Salesforce, SendGrid
Template
PO Email Extraction to Procurement System Entry
Monitor a shared procurement inbox for purchase order emails, extract PO data with Merlin Extract, and create records in your procurement or ERP platform automatically.
Steps:
- Trigger on new email arriving in shared procurement inbox with PO attachment
- Extract PO number, vendor, line items, and delivery terms using Merlin Extract
- Create purchase order record in NetSuite with all extracted structured fields
- Post Microsoft Teams alert to procurement channel with PO summary for confirmation
Connectors Used: Merlin Extract (Beta), Gmail, NetSuite, Microsoft Teams