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Upload a PDF, scan, or document image and turn invoice lines, report tables, records, and key fields into structured output you can review and export.
Representative workflow
Documents
Supplier invoices, bank statements, photographed receipts, and scanned document images processed one file at a time.
What gets extracted
Supplier, invoice number, date, tax, totals, line items, quantities, and references.
What improves
Less manual entry into spreadsheets or accounting systems, with faster review before export.
Why teams trust it
Low-confidence cells are visible immediately, so users review exceptions instead of checking every row manually.
Important business data arrives across PDFs, scans, and image attachments your team cannot use directly. That leads to manual entry, broken copy-paste, and endless checking.
Teams still retype rows, dates, totals, and reference fields into spreadsheets, ERPs, and accounting software.
Tables collapse, columns shift, line items split, and totals lose context when PDF content is pasted into a sheet.
Vendor layouts change, scans are messy, and multi-page records do not follow one rigid pattern.
Documents
Extract supplier names, invoice numbers, dates, tax amounts, totals, and line items from invoice PDFs, receipt photos, and scanned documents.
Outcome
Faster accounts payable entry, bookkeeping, and reconciliation with less spreadsheet cleanup.
Documents
Pull tables out of statements, summaries, and reports locked inside PDF layouts.
Outcome
The product is built for scanned files, document images, and inconsistent layouts, not only neat single-template PDFs.
Upload a PDF, JPG, or PNG and extract structured data from digital files, scans, and photographed documents.
OCR and text extraction are merged instead of trusted blindly, which reduces missed fields and structure errors.
Before
Supplier invoices, receipt images, and scanned documents with mixed layouts that do not copy cleanly into spreadsheets.
After
Structured supplier, invoice, tax, total, and line-item data ready for review and export.
Before
Operational or financial tables spread across multiple report pages with formatting that breaks copy-paste.
After
Clean tabular output that can move into Excel or analytics workflows without rebuilding rows manually.
Before
Rows with references, SKUs, and quantities buried in inconsistent manifest layouts.
After
Structured shipment rows ready for downstream systems with exceptions isolated for review.
From difficult document layouts to reviewable structured output in minutes.
Upload a PDF, JPG, or PNG file to prepare it for extraction.
Our extraction pipeline structures the data automatically. Review the result and check confidence scores before export.
Download the reviewed result and move it into the rest of your workflow.
If you cannot see what is reliable and what is uncertain, someone still has to verify every row by hand.
Move report data into downstream analysis workflows without rebuilding tables by hand.
Documents
Capture shipment lines, SKUs, quantities, references, and destinations across inconsistent layouts.
Outcome
Reduce manual entry into operations systems and speed up document-driven workflows.
Documents
Extract tables from papers, public reports, government PDFs, and scanned datasets.
Outcome
Get usable structured data instead of broken copy-paste that still needs cleanup.
Documents
Structure fields and records from documents that need reviewability and controlled processing.
Outcome
Keep the review layer, confidence visibility, and deployment flexibility needed for sensitive workflows.
Users can focus review on uncertain cells instead of validating every value manually before export.
350 credits