Document classification
Identify what each incoming file actually is before trying to read it — invoice, POD, form, identity document.
AI & Automation • Shatam Solution
Turn scanned paper into structured, checkable data.
Scanned documents are where operational data goes to hide. We build OCR and intelligent document processing pipelines that read the document, pull out the fields that matter, check them against your records, and hand a human only the cases that genuinely need judgement.
Capabilities
Identify what each incoming file actually is before trying to read it — invoice, POD, form, identity document.
Pull specific values (dates, amounts, reference numbers, names) rather than dumping raw text.
Extract structured line items from invoices and statements, not just header fields.
Cross-check extracted values against master data and flag mismatches instead of accepting them silently.
Low-confidence extractions are routed to a person; high-confidence ones flow straight through.
Realistic assessment up front of what your actual document quality will support — before you commit to a rollout.
Good Fit
It depends entirely on your document quality and layout consistency, and anyone quoting a single accuracy figure before seeing your files is guessing. We run a sample of your real documents first and report what accuracy is actually achievable.
Printed text is reliable. Handwriting varies enormously — structured handwritten fields in boxes work far better than free-form writing. This is decided on your sample set, not assumed.
Confidence scoring routes uncertain extractions to a human review queue. The goal is not zero human involvement, it is removing the 80–90% that never needed a person.
Deployment location is decided during scoping, including on-premise processing where documents cannot leave your infrastructure.
More Solutions
Tell us what the current process looks like and we will come back with a scoped approach and a written quotation.
Email: shatam@shatam.com | WhatsApp: +91 95611 87575