Capability · OCR
For scanned PDFs and images, Parsedit reads the text first, then applies your field extraction, so one parser handles every input.
Native files and scans converge into the same structured output.
Sample output after OCR and schema extraction from a scanned document.
Fields in your schema
For native digital PDFs and DOCX, Parsedit reads embedded text directly. For scanned documents and images, OCR converts pixels to text first, then the same schema-driven extraction runs.
That keeps your workflow consistent: one parser, many input formats. Define your fields once and extract them whether the source is digital or scanned.
Mixed batches are common in finance and operations. Upload digital PDFs alongside phone photos of receipts—Parsedit detects when OCR is needed and when it is not.
Extraction quality depends on scan resolution and layout. Parsedit surfaces confidence scores per field and lets you review and correct before anything is sent. You stay in control.
Purpose-built capabilities for this document type.
Multi-page scans are read page by page before extraction.
PNG and JPEG photos of documents are supported.
Extraction quality depends on scan resolution and layout. Parsedit surfaces confidence per field so you can approve or correct before delivery. Nothing reaches your spreadsheet or webhook until you say so.
From scan upload to structured fields ready for review.
Drop a scanned PDF or photo into your parser intake queue.
Per-field confidence scores route low-quality values to your review queue.
Extraction quality depends on scan resolution and layout. Parsedit surfaces confidence per field so you can approve or correct before delivery. Nothing reaches your spreadsheet or webhook until you say so.
Define the fields once. OCR output feeds the same schema as native PDFs and DOCX.
Vendor, dates, totals, line items: you choose what to extract. Scanned and digital documents converge into identical structured rows.
Explore field extractionApprove extracted rows once, then deliver them on a schedule to Sheets or any webhook.
See document automationStart from a template or define your own fields. OCR runs before the same schema is applied.
Integrations
After review, rows flow to Sheets, webhooks, Slack, Airtable, Xero, and more.
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
Common questions about this capability. Need more detail? our documentation
When processing scanned PDFs or image-based documents where text is not already embedded. Native digital PDFs are processed without OCR.
PDF, PNG, and JPEG. Upload scanned documents and Parsedit detects and extracts text before applying your schema.
Extraction quality depends on scan quality and layout. Parsedit surfaces confidence scores and lets you review and edit before sending.
Yes. Upload digital PDFs alongside scans and photos. Parsedit uses OCR only when embedded text is not available.
They appear in your review queue with confidence scores attached. You approve or correct each value before delivery.
Capability · OCR
Create your first parser in minutes. No code, no setup calls.
Combine native and scanned files in the same parser.
Vendor, dates, totals, line items: you choose what to extract. Scanned and digital documents converge into identical structured rows.
Parsedit reads pixels into text when embedded text is not available.
Your defined fields are extracted from the OCR text, ready for review.