Templates
Extract vendor, quote number, validity, and totals from proposals. Push structured data to your CRM or ops sheet.
Turn vendor quotes into rows you can compare, approve, and track through your pipeline.
A sample of the structured output for this document type.
Fields in your schema
Define supplier, quote number, validity dates, and line pricing once. Parsedit reads proposals and RFQ responses against that schema, then surfaces each value for review before it reaches your pipeline sheet or webhook.
Procurement teams use Parsedit to compare vendors without manual data entry. Low-confidence fields land in your queue; you edit, approve, and send.
Approved rows become quote records you can compare, track, and analyze without reopening each PDF. Send them to Google Sheets for vendor selection, or POST structured JSON to your ERP or procurement system.
The same field names apply on every upload, so supplier quotes, valid-until dates, and line totals stay in comparable columns as volume grows. Procurement gets one reliable dataset instead of reconciling mismatched exports from each vendor layout.
Purpose-built capabilities for this document type.
Identify supplier and reference across varied layouts.
Capture valid-until dates and proposal terms.
POST structured quote data to your CRM or ERP.
Define validity, vendor, and pricing fields once. Parsedit extracts them from PDF and DOCX quotes.
Review extracted values before they reach your CRM—no bad data in your pipeline.
Your documents stay in your account. Review is on by default, and auto-send only runs where you enable it.
No training on your data
Review on by default
Secure storage of extracted data
You stay in control
Integrations
Connect Google Sheets, webhooks, Slack, Airtable, or Xero and deliver approved rows automatically.
Start from a related template and customize fields for your workflow.
Check out our documentation
A quote focuses on validity dates and proposal fields; an invoice focuses on payment terms and invoice numbers.
Yes. Connect a webhook to deliver structured quote data into your CRM or ops sheet.
Yes. OCR handles scanned PDFs and images before your field schema is applied.
Add a valid-until field to your schema and export it to Sheets for expiry tracking.
Templates
Create your first parser in minutes. No code, no setup calls.
Extract subtotals and grand totals for comparison.
Build a quote database for side-by-side analysis.
Capture merchant, date, tax, and total from receipts for expense tracking and reimbursement.