Shahrear
I’m Shahrear, a Software Engineer with over 5 years of experience in full-stack development and workflow automation. I specialize in building intelligent automations using n8n, helping teams streamline operations and boost productivity. I’m also an expert in developing custom n8n nodes, with published work on npm - including the @vlm-run/n8n-nodes-vlmrun package. Linkedin - https://www.linkedin.com/in/shahrear-amin/ Email - shahrearbinamin33@gmail.com
Templates by Shahrear
Extract and organize receipt data for expense tracking with VLM Run and Google
Transform your expense tracking with automated AI receipt processing that extracts data and organizes it instantly. What this workflow does Monitors Google Drive for new receipt uploads (images/PDFs) Downloads and processes files automatically Extracts key data using verified VLM Run node (merchant, amount, currency, date) Saves structured data to Google Sheets for easy tracking Setup Prerequisites: Google Drive/Sheets accounts, VLM Run API credentials, n8n instance. Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Quick Setup: Configure Google Drive OAuth2 and create receipt upload folder Add VLM Run API credentials Create Google Sheets with columns: Customer, Merchant, Amount, Currency, Date Update folder/sheet IDs in workflow nodes Test and activate How to customize this workflow to your needs Extend functionality by: Adding expense categories and approval workflows Connecting to accounting software (QuickBooks, Xero) Including Slack notifications for processed receipts Adding data validation and duplicate detection This workflow transforms manual receipt processing into an automated system that saves hours while improving accuracy.
By ShahrearAi audio transcription & Google Docs report generator with VLM run
Automatically transform audio files into professional transcription reports with AI-powered speech recognition, timestamp generation, and formatted Google Docs output. What this workflow does Monitors Gmail for incoming audio attachments Downloads and processes audio files using VLM Run AI transcription Generates accurate transcriptions with precise timestamps and segmentation Creates professional reports in Google Docs with formatted output Handles asynchronous processing for long audio files without timeouts Setup Prerequisites: Gmail account, VLM Run API credentials, Google Docs access, n8n. Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Quick Setup: Configure Gmail OAuth2 for email monitoring Add VLM Run API credentials for audio transcription Set up Google Docs OAuth2 for report generation Create target Google Doc for transcription reports Update document URL in workflow nodes Test with sample audio file and activate Perfect for Meeting recordings and conference calls Voice memos and dictation workflows Interview transcriptions and journalism Podcast episode documentation Accessibility compliance and documentation Legal proceedings and court recordings Educational content and lecture notes Customer service call analysis Key Benefits Human-level accuracy - Advanced AI speech recognition with automatic punctuation Timestamp precision - Segmented transcriptions with exact time markers Multi-format support - Handles MP3, WAV, M4A, AAC, OGG, FLAC files Asynchronous processing - No timeouts for long audio files Professional formatting - Beautifully structured Google Docs reports Automatic workflow - Zero manual intervention required Saves hours per recording - Transforms manual transcription into instant results Searchable documentation - Google Docs integration enables easy content discovery How to customize Extend by adding: Speaker identification and diarization Integration with project management tools (Notion, Asana, Trello) Automatic summary generation from transcripts Translation to multiple languages Slack notifications for completed transcriptions Integration with CRM systems for call logging Audio quality enhancement preprocessing Custom formatting templates for different use cases Automatic keyword extraction and tagging Integration with calendar systems for meeting context This workflow revolutionizes audio documentation by combining cutting-edge AI transcription with professional report generation, making spoken content instantly accessible, searchable, and shareable across your organization.
By ShahrearExtract and process healthcare claims with VLM Run, Google Drive and Sheets
Automatically process healthcare claims into structured Google Sheets entries with VLM Run extraction What this workflow does Monitors Google Drive for new files in a target folder Downloads the file inside n8n for processing Sends the file to VLM Run for AI transcription or analysis Fetches extra details from the healthcare.claims-processing domain as JSON Appends normalized fields to a Google Sheet as a new row Setup Prerequisites: Google account, VLM Run API credentials, Google Sheets access, n8n. Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Quick Setup: Create the Drive folder you want to watch and copy its Folder ID Create a Google Sheet with headers like: timestamp, file\name, file\id, mime\type, size\bytes, uploader\email, form\type, carrier\name, patient\name, patient\birth\date, patient\sex, patient\address, insurance\type, insurance\id, insured\name, total\charge, amount\due, amount\paid, hospitalization\from, hospitalization\to, referring\physician\name, processing\_notes, …other claim fields as needed Configure Google Drive OAuth2 for the trigger and download nodes Add VLM Run API credentials from https://app.vlm.run/dashboard to the VLM Run node Configure Google Sheets OAuth2 and set Spreadsheet ID and target sheet tab Test by uploading a sample file to the watched Drive folder and activate Perfect for Centralized intake of healthcare claim documents with instant AI summaries Claims and operations teams collecting structured claim insights Customer support attachments that need quick triage to a Sheet Compliance and audit logs for claim documents Key Benefits End to end automation from Drive to Sheets Accurate AI output via VLM Run with optional timestamps Domain enrichment from healthcare.claims-processing JSON Clean, searchable logs in Google Sheets No manual steps after activation How to customize Extend by adding: OCR tuning and field validation for claim forms Per type routing for PDFs, images, or scanned forms Slack notifications on each new Sheet append Keyword extraction and auto tagging for claim categories Error branch that records failures to a second Sheet
By ShahrearExtract construction blueprint data with VLM run and Microsoft Office Suite
Automatically process Construction Blueprints into structured Excel entries with VLM extraction >Disclaimer: This template uses community nodes, including the VLM Run node. It requires a self-hosted n8n instance and will not run on n8n Cloud. What this workflow does Monitors OneDrive for new blueprints in a target folder Downloads the file inside n8n for processing Sends the file to VLM Run for VLM analysis Fetches details from the construction.blueprint domain as JSON Appends normalized fields to an Excel sheet as a new row Setup Prerequisites: Microsoft account, VLM Run API credentials, OneDrive access, Excel Online, n8n. Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Quick Setup: Create the OneDrive folder you want to watch and copy its Folder ID OneDrive web: open the folder in your browser, then copy the value of the id= URL parameter. It is URL-encoded. Alternative in n8n: use a OneDrive node with the operation set to List to browse folders and copy the id field from the response. Create an Excel sheet with headers like: timestamp, filename, fileid, mimetype, sizebytes, uploaderemail, documenttype, documentnumber, issuedate, authorname, drawingtitlenumbers, revisionhistory, jobname, address, drawingnumber, revision, drawnby, checkedby, scaleinformation, agencyname, documenttitle, blueprintid, blueprintstatus, blueprintowner, blueprint_url Configure OneDrive OAuth2 for the trigger and download nodes Use Microsoft OAuth2 in n8n. Approve requested scopes for file access and offline access when prompted. Test the connection by listing a known folder. Add VLM Run API credentials from https://app.vlm.run/dashboard to the VLM Run node Configure Excel Online OAuth2 and set Spreadsheet ID and target sheet tab Test by uploading a sample file to the watched OneDrive folder and activate Perfect for Converting uploaded construction blueprint documents into clean text Organizing extracted blueprint details into structured sheets Quickly accessing key attributes from technical files Centralized archive of blueprint-to-text conversions Key Benefits End to end automation from OneDrive upload to structured Excel entry Accurate text extraction of construction blueprint documents Organized attribute mapping for consistent records Searchable archives directly in Excel Hands-free processing after setup How to customize Extend by adding: Version control that links revisions of the same drawing and highlights superseded rows Confidence scores per extracted field with threshold-based routing to manual or AI review Auto-generate a human-readable summary column for quick scanning of blueprint details Split large multi-sheet PDFs into per-drawing rows with individual attributes Cross-system sync to Procore, Autodesk Construction Cloud, or BIM 360 for project-wide visibility
By ShahrearAutomate receipt processing for expense tracking with Google Drive, VLM Run & Airtable
Transform your expense tracking with automated AI receipt processing that extracts data and organizes it instantly. What this workflow does Monitors Google Drive for new receipt uploads (images/PDFs) Downloads and processes files automatically Extracts key data using verified VLM Run node (merchant, amount, currency, date) Saves structured data to Airtable for easy tracking Setup Prerequisites: Google Drive account, Airtable account, VLM Run API credentials, n8n instance. Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Quick Setup: Configure Google Drive OAuth2, Airtable OAuth2 Create receipt upload folder Add VLM Run API credentials Create Airtable table with columns: Customer, Merchant, Amount, Currency, Date Update folder/table IDs in workflow nodes Test and activate How to customize this workflow to your needs Extend functionality by: Adding expense categories and approval workflows Connecting to accounting software (QuickBooks, Xero) Including Slack notifications for processed receipts Adding data validation and duplicate detection This workflow transforms manual receipt processing into an automated system that saves hours while improving accuracy. > ⚠️ Disclaimer: This workflow requires a self-hosted n8n setup because it uses custom nodes (VLM Run) that are not available on the managed n8n.cloud service.
By ShahrearConstruction blueprint to Google Sheets automation with VLM Run and Google Drive
Automatically process Construction Blueprints into structured Google Sheets entries with VLM extraction What this workflow does Monitors Google Drive for new blueprints in a target folder Downloads the file inside n8n for processing Sends the file to VLM Run for VLM analysis Fetches details from the construction.blueprint domain as JSON Appends normalized fields to a Google Sheet as a new row Setup Prerequisites: Google account, VLM Run API credentials, Google Sheets access, n8n. Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Quick Setup: Create the Drive folder you want to watch and copy its Folder ID Create a Google Sheet with headers like: timestamp, filename, fileid, mimetype, sizebytes, uploaderemail, documenttype, documentnumber, issuedate, authorname, drawingtitlenumbers, revisionhistory, jobname, address, drawingnumber, revision, drawnby, checkedby, scaleinformation, agencyname, documenttitle, blueprintid, blueprintstatus, blueprintowner, blueprint_url Configure Google Drive OAuth2 for the trigger and download nodes Add VLM Run API credentials from https://app.vlm.run/dashboard to the VLM Run node Configure Google Sheets OAuth2 and set Spreadsheet ID and target sheet tab Test by uploading a sample file to the watched Drive folder and activate Perfect for Converting uploaded construction blueprint documents into clean text Organizing extracted blueprint details into structured sheets Quickly accessing key attributes from technical files Centralized archive of blueprint-to-text conversions Key Benefits End to end automation from Drive upload to structured Sheet entry Accurate text extraction of construction blueprint documents Organized attribute mapping for consistent records Searchable archives directly in Google Sheets Hands-free processing after setup How to customize Extend by adding: Version control that links revisions of the same drawing and highlights superseded rows Confidence scores per extracted field with threshold-based routing to manual or AI review Auto-generate a human-readable summary column for quick scanning of blueprint details Split large multi-sheet PDFs into per-drawing rows with individual attributes Cross-system sync to Procore, Autodesk Construction Cloud, or BIM 360 for project-wide visibility
By ShahrearExtract legal contract data & send alerts with VLM run, Google Workspace & Slack
📜 AI-Powered Contract Management Pipeline (Google Drive + VLM Run + Sheets + Calendar + Slack) ⚙️ What This Workflow Does This workflow automatically extracts, organizes, and tracks legal contract details from documents uploaded to Google Drive. Using VLM Run’s Execute Agent, it parses key metadata such as contract ID, parties, dates, and terms — then stores, alerts, and schedules reminders through Google Sheets, Calendar, and Slack. 🧩 Requirements Google Drive OAuth2 for monitoring and downloads VLM Run API credentials with Execute Agent access Google Sheets OAuth2 for structured record storage Google Calendar OAuth2 for key date reminders Slack API credentials for team notifications A reachable Webhook URL (for receiving parsed contract data) ⚡Quick Setup Configure Google Drive OAuth2 and create upload folder and folder for saving extracted images. Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Add VLM Run API credentials for document parsing. Configure Google Sheet and Calendar. For Google Sheet, from the document list, pick your Google Sheet (e.g., test). Then select the sheet inside it (e.g., Sheet1). Set the operation to Append Row — this will add new contract details as new rows. Turn on Map Each Column Manually. Match each contract field (like Contract ID, Title, Parties, Effective Date, Termination Date) to its corresponding column in your Google Sheet. Configure Slack for notifications. ⚙️ How It Works Monitor Contract Uploads – Watches a target Google Drive folder for new file uploads (PDFs, images, or scans). Download Contract File – Automatically downloads new contracts for AI analysis. VLM Run ContractParser – Sends the file to the VLM Run Execute Agent, which extracts structured contract data, including: Contract ID Title Parties (with roles) Property address Effective date Termination date Rent, deposit, payment terms, and governing law Receive Contract Data – The webhook endpoint receives the structured JSON response. Format Contract Data – Normalizes fields, formats dates, and prepares for storage. Save to Expense Database (Google Sheets) – Appends extracted data to a master Google Sheet for centralized contract tracking. Notify via Slack – Posts a concise summary to a Slack channel, showing key contract details for visibility. Create Calendar Events – Automatically schedules Google Calendar events for: Effective Date Termination Date Renewal Reminder (60 days before termination) 💡 Why Use This Workflow Manual contract management is error-prone and time-consuming key details like renewal dates, payment terms, or termination clauses often get lost in email threads or folders. This workflow ensures: Zero missed deadlines automatic Google Calendar reminders keep your team on track. Instant team visibility - Slack notifications keep legal, finance, and operations aligned. End-to-end automation no need for manual parsing, data entry, or follow-ups. 🧠 Perfect For Legal teams automating contract intake and tracking Real estate or lease management workflows Finance or procurement teams needing expiration alerts Organizations centralizing contract metadata in Sheets 🛠️ How to Customize Modify Extraction Fields Edit the VLM Run Execute Agent schema to add fields like contract value, payment schedule, department, or contact email. Change Storage Swap Google Sheets for Airtable, Notion, or BigQuery if you manage large datasets or need relational tracking. Customize Notifications Send Slack alerts only for high-value or expiring contracts, and tag relevant teams (e.g., @legal, @finance). Add Calendar Events Auto-create events for reviews or payment milestones using extra date fields. Add Approvals or Signatures Insert a Google Form or Slack approval step, or trigger DocuSign for e-signature automation. ⚠️ Community Node Disclaimer This workflow uses community nodes (VLM Run) that may need additional permissions and custom setup.
By ShahrearExtract embedded images from Google Drive documents with VLM run agent
🧾 Image Extraction Pipeline (Google Drive + VLM Run + n8n) ⚙️ What This Workflow Does This workflow automates the process of extracting images from uploaded documents in Google Drive using the VLM Run Execute Agent, then downloads and saves those extracted images into a designated Drive folder. 🧩 Requirements Google Drive OAuth2 credentials VLM Run API credentials with Execute Agent access A reachable n8n Webhook URL (e.g., /image-extract-via-agent) ⚡Quick Setup Configure Google Drive OAuth2 and create upload folder and folder for saving extracted images. Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Add VLM Run API credentials for document parsing. ⚙️ How It Works Monitor Uploads – The workflow watches a specific Google Drive folder for new file uploads (e.g., receipts, reports, or PDFs). Download File – When a file is created, it’s automatically downloaded in binary form. Extract Images (VLM Run) – The file is sent to the VLM Run Execute Agent, which analyzes the document and extracts image URLs via its callback. Receive Image Links (Webhook) – The workflow’s Webhook node listens for the agent’s response containing extracted image URLs. Split & Download – The Split Out node processes each extracted link, and the HTTP Request node downloads each image. Save Image – Finally, each image is uploaded to your chosen Google Drive folder for storage or further processing. 💡Why Use This Workflow Manual image extraction from PDFs and scanned files is repetitive and error-prone. This pipeline automates it using VLM Run, a vision-language AI service that: Understands document layout and structure Handles multi-page and mixed-content files Extracts accurate image data with minimal setup. For example- the output contains URLs to extracted images json { "image_urls": [ "https://vlm.run/api/files/img1.jpg", "https://vlm.run/api/files/img2.jpg" ] } Works with both images and PDFs 🧠 Perfect For Extracting photos or receipts from multi-page PDFs Archiving embedded images from reports or invoices Preparing image datasets for labeling or ML model training 🛠️ How to Customize You can extend this workflow by: Adding naming conventions or folder structures based on upload type Integrating Slack/Email notifications when extraction completes Including metadata logging (file name, timestamp, source) into Google Sheets or a database Chaining with classification or OCR workflows using VLM Run’s other agents ⚠️ Community Node Disclaimer This workflow uses community nodes (VLM Run) that may need additional permissions and custom setup.
By ShahrearExtract attendance from Google Drive images to sheets with VLM run AI & Gmail alerts
🧾 Attendance Extraction & Notification Pipeline (Google Drive + VLM Run + Google Sheets + Gmail) ⚙️ What This Workflow Does This workflow automates daily attendance tracking by analyzing uploaded attendance images, extracting participant names via VLM Run’s Execute Agent, appending the structured data into Google Sheets, and emailing a formatted attendance summary through Gmail. 🧩 Requirements A Google Drive account with a designated folder for attendance image uploads. A VLM Run API account and your Execute Agent URL or API credentials. A Gmail account connected to n8n for sending notification emails. An n8n instance with the following credentials configured: Google Drive, Google Sheets, Gmail, VLM Run (HTTP API Credential) ⚡Quick Setup Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows. Add VLM Run API credentials for image parsing. Link your Google Drive, Google Sheets and Gmail accounts in the credentials section. In the “Google Drive Trigger” node, select the folder where attendance images will be uploaded. In the “Append Row” node, connect your Google Sheet and map columns manually (e.g., Date, Total, Names…). Add VLM Run execute agent endpoint. Upload an image (whiteboard attendance photo or scanned sheet) to your Drive folder. Wait for the automation to process and check your Google Sheet for results. After each extraction and logging step, the Gmail Node sends an automated summary email. Email includes: 📅 Date of attendance 👥 Total participants detected 🧍 List of extracted names ⚙️ How It Works Monitor List Uploads – Watches a Google Drive folder for new attendance images (e.g., whiteboard snapshots, scanned sheets). Download List – Downloads each new image automatically for AI processing. VLM Run for Extraction sends the image to VLM Run Execute Agent, which uses an AI model to detect and extract attendee names from the image. Receive Attendance Data – The Webhook node (check-attendance) receives structured JSON data from VLM Run in the format: json { "majorDimension": "ROWS", "values": [ ["2025-10-03", "6", "Camila Torres Rivera", "Mellissa Richmond", "Captioner Javier", "Siobhan", "Catherine Soler", "Anisah Anif"] ] } The Google Sheets Node appends the structured attendance data to the selected sheet, maintaining a daily log for future reference. The Gmail Node sends an automatic email summarizing attendance. 💡Why Use This Workflow 🔄 Fully Automated: No manual data entry required. 🧠 AI-Powered Extraction: Uses VLM Run to read and parse images with handwritten or typed text. 📊 Centralized Logging: Attendance data neatly organized in Google Sheets for future analysis. 📬 Instant Notification: Keeps stakeholders informed automatically after each session. ⚡ Scalable: Works with multiple folders, daily batches, or parallel sessions. 🛠️ How to Customize You can tailor this workflow to match your organization’s needs: | Area | Customization Options | | ------------------------ | ---------------------------------------------------------------------------------------------------------- | | Drive Folder | Point to a different upload folder for each department or class. | | Google Sheet Mapping | Add more columns (e.g., “Class Name,” “Supervisor”) and map them in the Append Row node. | | Email Template | Modify the Gmail node’s subject and body to include custom formatting or logos. | | Trigger Schedule | Replace Google Drive Trigger with a Cron Node if you prefer scheduled checks instead of live watching. | | Data Validation | Add a Function Node to filter duplicates or incorrect entries before appending to Sheets. | | Notification Options | Send alerts via Slack, Telegram, or Microsoft Teams instead of Gmail if desired. | ⚠️ Community Node Disclaimer This workflow uses community nodes (VLM Run) that may need additional permissions and custom setup.
By Shahrear