What is Parsio?
Parsio is a document parser that extracts structured data from emails, PDFs, and other file types automatically. It handles manual data entry tasks — pulling key fields from invoices, receipts, bank statements, identity documents, and incoming emails — and delivers that data to spreadsheets, databases, or third-party apps. Businesses that process high volumes of documents use this document parser to replace repetitive copy-paste workflows with automated extraction pipelines.
Features & Benefits
- AI-powered OCR – Use machine learning to extract text from scanned PDFs, images, and handwritten documents automatically.
- GPT-powered extraction – Use natural language processing to parse unstructured, human-written emails and freeform documents.
- Template-based parsing – Create no-code parsing templates for emails, PDFs, and fixed-layout files by highlighting fields visually.
- Email parsing – Extract text data from incoming emails automatically, including lead data and order confirmations.
- PDF and file parsing – Extract data from PDF, HTML, XLSX, CSV, DOCX, XML, JSON, vCard/VCF, TXT, and other formats.
- Web page extraction – Extract text data from web pages automatically.
- Table and repetitive data extraction – Pull line-item data from invoices, order forms, and similar structured documents.
- Invoice OCR – Extract fields from invoices and order forms.
- Receipt OCR – Parse transaction timestamps, merchant names, totals, and tax amounts from receipts.
- Bank statement parsing – Extract structured data from bank statements across institutions.
- Business card extraction – Pull names, job titles, email addresses, and contact details from business cards.
- Identity document parsing – Extract data from passports, driver’s licenses, and ID cards.
- W-2 form parsing – Extract employer and employee data, wage information, and related fields from US W-2 forms.
- Email signature parsing – Collect contact information from email signatures using AI.
- Unlimited mailboxes – Create unlimited mailboxes and templates to handle different incoming email types.
- Multichannel import – Import documents via forwarded email, manual upload, API, Zapier, Make, Pabbly Connect, and other automation platforms.
- Post-processing – Apply custom formatting and business logic to parsed data before exporting.
- Google Sheets export – Send parsed data directly to Google Sheets with a built-in integration.
- Webhook delivery – Send parsed data in real time to a server, CRM, or third-party platform.
- File download – Download parsed output as XLSX, CSV, or JSON.
- API access – Retrieve parsed data programmatically via API.
- Integrations – Connect with over 6,000 apps through Zapier, Make, n8n, Pabbly Connect, KonnectzIT, Integrately, and others.
Real-World Applications
Accounting teams that receive dozens of supplier invoices each week may use this document parser to extract vendor names, line items, totals, and due dates automatically, then push that data into Google Sheets or an accounting platform. This replaces manual data entry and reduces the risk of transcription errors when processing high invoice volumes.
E-commerce businesses can use Parsio as an email parser to capture order confirmation emails and extract customer names, purchased items, shipping addresses, and order totals. That structured data can then flow directly into Airtable, a CRM, or an order management system, making it practical for teams searching for ways to automate order data collection without custom development.
Recruiters or sales teams that receive contact information via email or scanned business cards might use the document parser to extract names, job titles, phone numbers, and email addresses automatically. Parsed leads can route to Trello, Slack, or a CRM in real time via webhooks, which fits common searches around automating lead capture from inbound emails.
Financial analysts or operations teams working with bank statements from multiple institutions can use Parsio’s OCR and AI extraction to convert those PDFs into structured, downloadable data. Organizations handling identity verification workflows — such as parsing passports or driver’s licenses — may also find the document parser useful for structured field extraction without building custom OCR infrastructure.
