Stop Typing Data OffPaper and PDFs
Invoices, delivery challans, forms and bank statements read automatically — fields extracted, checked against your records, and flagged for review when the system is unsure.
- Bangla + English OCR
- Confidence on every field
- Human review built in
- Live in 3–6 weeks
Reads scans and photos
Printed documents, phone photos and PDFs, in Bangla and English.
Extracts the fields you need
Invoice number, date, amounts, line items, party details.
Checks against your records
Matched to purchase orders or customer accounts before it is accepted.
Flags what it is unsure about
Low-confidence fields go to a person instead of into your database.
What is AI document processing?
AI document processing converts unstructured documents — scanned invoices, forms, statements, identity papers — into structured data that a system can use. It combines OCR to read the text with a model that understands document layout and meaning, so it can identify which number is the total and which is the tax, even when every supplier uses a different format. A production system also scores its own confidence per field and routes uncertain values to a person, because the cost of a wrong figure entering your accounts is far higher than the cost of a quick check.
Extraction you can trust enough to post
Any tool can read 90% of a clean invoice. The engineering is in knowing which 10% it got wrong.
- Layout-aware extraction
- Handles the fact that every supplier's invoice looks different. It identifies fields by meaning and position rather than fixed coordinates, so a new vendor format does not require a new template.
- Bangla and English OCR
- Printed and scanned Bangla text, mixed-language documents, and photos taken on a phone in poor light.
- Confidence scoring per field
- Every extracted value carries a confidence level; anything below your threshold is queued for human review rather than written straight through.
- Validation against your data
- Invoices matched to purchase orders, amounts checked against expected totals, duplicates caught before payment.
- Feeds your existing system
- Clean records pushed into your ERP, accounting package or database, so nobody re-keys the output either.
What changes after launch
- ↓
- Staff review exceptions instead of typing every document.
- ↑
- Validation catches mismatches before they reach your accounts.
- 1st
- Documents handled on arrival rather than in a weekly batch.
- ✓
- Every processed document indexed and findable afterwards.
Hours of data entry removed
Fewer entry errors
Faster processing
Searchable archive
From a pile of scans to clean records
We test on your worst documents, not your best — that is what sets the real accuracy.
Swipe to see all 5 steps →
Common ways businesses use it
Supplier invoice processing
Read, match to purchase order, flag exceptions and queue for payment.
KYC and customer onboarding
NID, trade licence and bank documents read and verified against the application.
Delivery challans and goods receipt
Quantities captured against orders so stock records stay accurate.
Bank statement reconciliation
Transactions extracted and matched against ledger entries automatically.
- Financial Services
- Manufacturing
- Wholesale & Distribution
- Logistics & Delivery
- Healthcare & Clinics
- Government & NGO
- Insurance
- Professional Services
The document, the fields, the confidence
Overview — last 7 days
Live8,410
Documents read
97.2%
Field accuracy
212
Sent for review
Mon
Tue
Wed
Thu
Fri
Sat
Sun
Processing queue
Invoice
Matched to POINV-90142 · Meghna Traders
Challan
PostedDC-5521 · 400 units
NID
Needs reviewKYC upload · low scan quality
Extracted values shown against the source, with low-confidence fields highlighted for review. Sample data shown.
Questions, answered
01How accurate is it?
On clean printed documents, high. On poor scans, handwriting or unusual layouts, lower — and that is exactly why confidence scoring and a review queue exist. We measure accuracy per field on your own documents and give you that number before you commit.
02Can it read Bangla documents?
Yes, printed and scanned Bangla, including mixed Bangla-English documents. Handwritten Bangla is substantially harder and we test it specifically rather than promising it.
03Do we need a template for each supplier's invoice format?
No. The system identifies fields by meaning and layout rather than fixed positions, so it handles formats it has not seen before. Unusual formats may need a short tuning pass.
04How much does document processing cost in Bangladesh?
Pricing depends on document types and monthly volume. A single document type at moderate volume is a small project; several types across departments is larger. We quote after reviewing a sample.
05How long does it take to build?
Three to six weeks for one or two document types. Archives that need digitising first take longer, and we assess that during the sampling stage rather than discovering it mid-project.
06What happens to documents it cannot read?
They go to a review queue with whatever was extracted and the original image side by side, so a person completes it in seconds rather than starting from scratch. Nothing is silently dropped.
07Is our document data kept private?
Yes. Processing happens in your own systems or a private, access-controlled environment. Documents are never used to train shared or public models. For regulated data we can deploy entirely on-premise.
Related services
- AI Knowledge Base & RAGAsk questions of the documents, not just extract fields.
- AI Workflow AutomationRoute the extracted data through approval.
- Private & Local AI DeploymentProcess confidential documents inside your network.
- Bengali Language AIStronger handling of Bangla forms and scans.
- ERP & Business Management SoftwareWhere the clean records end up.
- Custom AI AgentsAct on what the documents contain.
Send us your messiest documents
We will run a sample and show you the real extraction accuracy — including the fields it gets wrong.