Any Document In.
Structured Data Out.
Handwritten notes, emails, Excel files, scans, PDFs — extract the data and send it straight into your ERP, database, or app. No templates. No manual data entry.
Everything supply chain & ERP teams need to automate document workflows
Every document your business receives — turned into structured data your systems can read, then checked against what you actually ordered.
Multi-Format Ingestion
Upload PDFs, images (JPG/PNG/TIFF), Excel/CSV spreadsheets, or emails. Every format is normalized and ready for extraction automatically.
Structured JSON Output
No templates needed. AI discovers entities, fields, and line items from any document and returns clean, schema-validated JSON — ready to push to your ERP, database, or API.
Multi-Language Support
Process documents in Thai, Japanese, Arabic, German, and 50+ more languages. AI automatically detects the document language and extracts data regardless of script or language.
Invoice, PO & Receipt Matching
Once your data is structured, check the three documents that have to agree — the invoice, the purchase order, and the goods receipt. Price and quantity mismatches get caught before payment; anything that disagrees is routed to your team. (Also known as 3-way matching.)
Edit schemas and fix values with natural language
The built-in Extraction Assistant understands your documents. Just tell it what to change — no manual editing needed.
Edit schema fields
"Remove the fax field" or "Add a currency field"
Correct extracted values
"The total should be 96,457.27" — fixes and re-evaluates
Auto-improve accuracy
Learns from your corrections and re-extracts with better prompts
Built for individuals and enterprises
From personal expense tracking to corporate ERP reconciliation.
Finance Team
Multi-Format Extraction
Use Case
Extract data from scanned invoices (images), emailed POs, and Excel price lists
Features Used
Image + Email + Spreadsheet ingestion, AI extraction
Result
One consistent, structured output across every document format — no per-template setup
Procurement
End-to-End Automation
Use Case
Process purchase orders from any source and reconcile with ERP inventory
Features Used
Full workflow (Upload → Extract → Match)
Result
Cuts manual data entry and flags price and quantity mismatches for review before payment
Catch every mismatch before you pay
Extraction is step one. dataextractor.io then reconciles the three documents that have to agree — line by line — so nothing wrong ever reaches your ERP.
Invoice
What the supplier is billing you for
Purchase order
What you agreed to buy — and at what price
Goods receipt
What actually arrived at the dock
Quantities and prices are matched automatically. Clean matches post straight to your ERP; anything that disagrees is flagged for your team to review.
Ready to automate your document workflows?
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