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Document OCR reads the text on a scanned or PDF document and splits it into fields such as date, amount, tax number and line items. The system we set up collects invoices, delivery notes, contracts and forms from email, a folder or a scanner, recognises the fields and posts them to your ERP or accounting software. Uncertain fields go to a person for approval.
Your accounts team keys in supplier invoices, the warehouse types up delivery notes, sales re-enters application forms. As volumes grow, so does the time spent, and a mistyped amount or tax number resurfaces at month-end as a reconciliation problem. Tracing which figure came from which document, and who entered it, gets harder too.
We set up a pipeline that collects documents from email, a watched folder or a scanner, reads the text with OCR, uses AI to identify fields such as dates, amounts, tax numbers and line items, checks them, and posts them to your ERP or accounting software. Every record stays linked to its source document. Note that Turkish e-invoices (e-Fatura, e-Arşiv) arrive as structured XML and need no OCR at all; we read that data directly and feed it into the same flow.
Supplier, date, amount, tax number and line items are read from paper or PDF invoices. If totals do not add up or the supplier is unknown, the record is held for approval instead of posted.
Product codes, quantities and batch numbers are read and matched against the purchase order, so short or over-deliveries show up at goods-in. Barcodes and QR codes provide a cross-check.
Parties, value, start and end dates, renewal and termination terms are extracted. Date-driven obligations become reminders in your calendar or CRM.
Fields from ID cards, passports, driving licences and application forms are captured, cutting manual entry in customer onboarding, insurance applications and memberships.
1D/2D barcodes, QR and DataMatrix codes are read and serial number, lot, production date and SKU are recorded. On production lines it works alongside our computer vision systems.
Structured data is extracted from reports, lab results and prescriptions and passed to the hospital information system. Health data is special-category personal data under Turkish law (KVKK), so access is restricted by role.
Documents are picked up automatically from email attachments, a watched folder, a scanner or a web upload.
Skewed, shadowed or low-contrast pages are corrected before reading.
The OCR engine extracts the text; AI identifies the document type and fields such as date, amount and tax number.
Low-confidence fields go to a person for approval. Approved data is written to your ERP or accounting software through API integration.
A clean PDF and a crumpled photo of a delivery note will never give the same result, so we do not promise a blanket accuracy figure. In the pilot we measure field-level accuracy on your real documents and review the results with you. Uncertain fields are routed for approval, so bad data does not slip silently into your system. For non-standard forms we can train a model on your own documents. If your invoices arrive by email, SmartMail in the Smart360 suite already extracts parties, dates, VAT and totals from invoice PDF attachments without downloading the file.
Document OCR reads the text on a scanned or PDF document and splits it into fields such as date, amount, tax number and line items. The system we set up collects invoices, delivery notes, contracts and forms from email, a folder or a scanner, uses AI to recognise the fields and posts them to your ERP or accounting software. Uncertain fields go to a person for approval.
Incoming invoices and receipts, dispatch and shipping documents, contracts and legal documents, ID cards, passports, driving licences and application forms, barcode, QR and DataMatrix labels, and medical records such as reports, lab results and prescriptions. Health data is special-category personal data under Turkish law (KVKK), so access to those documents is restricted by role.
Only after it is checked. If totals do not add up, the supplier is unknown or a field has a low confidence score, the record is held for human approval instead of being posted. Approved data is written to your ERP or accounting software via API, and every record stays linked to its source document so you can trace where each figure came from.
No. e-Fatura and e-Arşiv invoices arrive as structured XML, so no OCR is needed. We read that XML data directly and feed it into the same flow as your paper and PDF documents. OCR is used for documents that arrive on paper, as scans or as PDFs.
A clean PDF and a crumpled photo of a delivery note never give the same result, so we do not promise a blanket accuracy figure. Skewed, shadowed or low-contrast pages are corrected before reading. In the pilot we measure field-level accuracy on your real documents and review the results with you. For non-standard forms we can train a model on your own documents.
Not always. SmartMail, part of the Smart360 suite, extracts the parties, issue and due dates, subtotal, VAT, total, document number and tax number from invoice PDF attachments without downloading the file. For paper, scanned or other documents that must be posted to your ERP, we set up an OCR pipeline.
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