Get started
Quickstart
Create an account, scan your first document, and see extracted data in the dashboard — all in about five minutes.
1. Create an account
Sign up at /register with email and password, or continue with Google. New accounts start on the 14-day Free trial with access to every paid feature within the stated daily limits. No credit card is required.
2. Scan your first document
- Open Dashboard → Scan.
- Drag-drop or upload a file (JPG, PNG, HEIC, PDF — up to 20 MB per image, 50 MB per upload).
- Choose a document type (
auto_detectis a safe default) or select a template you have created. - Wait a few seconds. Extracted fields appear next to the original image.
Low-confidence fields (below 0.85) are highlighted in amber so you can review and correct them. Click any field to edit.
3. Explore the extracted data
Every scan is stored as a document you can open, edit, export, or push into a dataset. From the document detail page:
- Edit any field inline — your edits flip the field to verified.
- Download as PDF or DOCX when the document was scanned against a template.
- Export to CSV or Excel individually or in bulk from the list view.
4. Push data into a dataset
Datasets turn scanned data into a searchable, filterable table. You can create one from an existing document, from CSV/Excel import, or from a Google Sheet. Once created, you can:
- Filter with column-specific operators (contains, between, before/after, …).
- Ask questions in plain English with AI chat.
- Append new rows from future scans, CSV uploads, or Google Sheets.
5. Add inventory, POS, or reconciliation
ScanLedger is more than OCR. From the sidebar, explore:
- Inventory — track products, stock movements, and low-stock alerts.
- Point of Sale — process sales tied to your inventory.
- Reconcile — upload a bank statement and auto-match transactions to receipts, invoices, and sales.
What to read next
Dive deeper into the features most relevant to your workflow:
- Document scanning — preprocessing, formats, and confidence scores.
- Document templates — reusable structures with typed fields and PDF export.
- Core concepts — datasets, workspaces, and the data model.