Scan → Extract → Validate → Deliver.
We convert unstructured documents — scanned paper, multi page PDFs, screenshots, photographs into structured, validated, business ready data. Every extraction is reviewed, corrected, and quality-assured by trained human specialists before it reaches your systems.
Why OCR + IDP matters
Most OCR tools stop at text extraction — raw output, no verification, only as accurate as the model's confidence on that document, that day. For smudged stamps, handwritten forms, or multi language contracts, that's not good enough.
DATACLAP layers trained human reviewers into the extraction pipeline. Low confidence fields are flagged, reviewed, and signed off before data moves downstream and every correction feeds back into model retraining.
Speed: OCR can process documents tens of times faster than manual typing; when combined with ML-driven IDP, throughput and business-rule automation scale dramatically.
Human verified accuracy: Automated extraction handles volume; our HITL reviewers handle exceptions. Low confidence outputs, ambiguous fields, and edge case documents are flagged, reviewed, and corrected by trained specialists — giving you enterprise grade accuracy without sacrificing throughput.
Cost & compliance: Reduce manual labor, shorten SLAs, and keep audit trails, encryption and role-based access for regulated data.
Core services we offer
Automated extraction, backed by human intelligence at every quality gate.
Document capture & pre-processing
High-quality scanning, image de-skew, noise removal, image enhancement, multi-format ingestion (PDF, TIFF, JPG, PNG) and OCR pre-checks to boost extraction accuracy.
OCR (printed + handwritten)
Accurate extraction of printed and handwritten text using configurable OCR engines and model ensembles; outputs as searchable PDF, Word, CSV, JSON, or database-ready records.
Document classification & routing (IDP)
Automatic classification (invoices, receipts, claims, contracts, letters, forms) and routing to the correct business process or user queue using ML and NLP.
Key-value & table extraction
Robust extraction of fields, key–value pairs and complex table structures (multi-page and nested tables) with confidence scores, coordinates and schema mapping.
Verification & human-in-the-loop (HITL)
Configurable validation workflows where low-confidence items are routed to human reviewers; results feed back to continually retrain models.
Data security & compliance
Encrypted data transit and storage, role-based access, comprehensive audit logs, and GDPR/HIPAA-ready controls for regulated data.
Document capture & pre-processing
High-quality scanning, image de-skew, noise removal, image enhancement, multi-format ingestion (PDF, TIFF, JPG, PNG) and OCR pre-checks to boost extraction accuracy.
OCR (printed + handwritten)
Accurate extraction of printed and handwritten text using configurable OCR engines and model ensembles; outputs as searchable PDF, Word, CSV, JSON, or database-ready records.
Document classification & routing (IDP)
Automatic classification (invoices, receipts, claims, contracts, letters, forms) and routing to the correct business process or user queue using ML and NLP.
Key-value & table extraction
Robust extraction of fields, key–value pairs and complex table structures (multi-page and nested tables) with confidence scores, coordinates and schema mapping.
Verification & human-in-the-loop (HITL)
Configurable validation workflows where low-confidence items are routed to human reviewers; results feed back to continually retrain models.
Post-processing & integrations
Normalization, deduplication, data enrichment, PII redaction, encryption and connectors to ERPs, RPA, DMS, SharePoint, Salesforce, or your APIs.
The DATACLAP difference: humans in the loop, not bolted on after
Our HITL reviewers aren't a fallback — they're a designed part of the pipeline from day one.
Confidence threshold routing
You define the accuracy floor. Any field or document that falls below it is automatically routed to a human reviewer before leaving the pipeline — so nothing uncertain ever reaches your downstream systems unchecked
Multi-pass QA workflow
Every extraction goes through annotate → review → QA → adjudicate. Senior reviewers audit a statistically significant sample of every batch, and discrepancies trigger full batch re-review before sign off.
Corrections that compound
Every human correction is logged, structured, and fed back into model retraining. Your accuracy improves batch over batch as the system learns your specific document types, field patterns, and business rules.
Full audit trail on every field
Every extracted value carries a provenance record: which model extracted it, at what confidence, whether a human reviewed it, who approved it, and when. Regulators and internal auditors get the complete chain of custody.
Scale without sacrificing oversight
Start with a pilot batch of a few hundred documents. Scale to millions of pages per month. The HITL layer scales in parallel — you never have to choose between throughput and accuracy.
Specialist reviewers, on demand
Our HITL experts are trained by document type and industry — insurance claims, trade finance, medical records and assigned to your project when your workload requires them. Scale up specialist capacity without hiring.
Industries we serve
Wherever documents carry compliance risk or business critical data, human review isn't optional — it's the standard.
Accurate extraction. Human verified. Every time.
Tell us your document types and accuracy requirements — we'll design an OCR + HITL pipeline around them.