Document Intelligence
AI-Powered Document Intelligence for Enterprise
Transform unstructured documents into structured, actionable data. OCR extraction, LLM-based parsing, intelligent validation, and ERP-ready outputs — all automated.
Transform unstructured documents into structured, actionable data. OCR extraction, LLM-based parsing, intelligent validation, and ERP-ready outputs — all automated.
From invoices and bank statements to agreements and reports — Cresolv DocAI handles every document type.
Advanced OCR combined with AI/LLM models to extract structured data from PDFs, scanned documents, images, and digital files.
Parse bank statements from all major Indian and international banks — extract transactions, balances, and structured financial data.
Intelligent invoice parsing with vendor recognition, line-item extraction, GST validation, and ERP-ready data output.
Extract key clauses, dates, parties, obligations, and terms from legal agreements, contracts, and vendor documents.
Configurable validation rules to verify extracted data against master records, thresholds, formats, and business logic.
Push validated, structured data directly into SAP, Oracle, Tally, Dynamics, or any custom ERP via API connectors.
What finance and ops teams ask before automating document extraction.
DocAI combines OCR with LLM-based field extraction, so it doesn't just read text off a page — it understands document structure, extracts specific fields like vendor, line items, and GST numbers, and validates them against your business rules before handing off clean, ERP-ready data. A standalone OCR tool gives you raw text; DocAI gives you structured, validated records.
Extraction accuracy runs up to 95%, depending on document quality and type — clean digital invoices and bank statements score highest, while low-resolution scans or unusual formats need more human review. Every extraction also passes through the validation engine, so errors get flagged before they reach your ERP rather than after.
Invoices, bank statements (Indian and international formats), agreements and contracts, and other unstructured PDFs, scans, and images. Each document type runs through its own extraction model — invoice parsing focuses on vendor and line-item data, bank statement parsing on transactions and balances, contract parsing on clauses, dates, and obligations.
Both. The validation engine checks extracted fields against master records, configurable thresholds, and business logic, then routes anything that fails into an exception queue for review rather than pushing it straight to your ERP. You get an accuracy score with every batch, not just raw extracted fields.
SAP, Oracle, Tally, Dynamics, or any custom ERP through API connectors — validated data posts directly once it clears the validation engine, so your team isn't re-keying extracted fields into the ERP.
Yes. Invoice parsing includes GST and tax field extraction as a standard part of the pipeline, and bank statement parsing covers formats from all major Indian banks alongside international ones — this isn't a bolt-on for Indian compliance, it's built into the core extraction models.
Yes, DocAI includes handwritten text recognition alongside standard OCR for scans and images, though accuracy on handwriting varies more than on typed or digital-native documents — legibility and document quality still matter.
Most teams get a working pipeline running quickly with guided onboarding; the exact timeline depends on your document volume, formats, and how many ERPs you're integrating with. Talk to us for a timeline based on your specific setup.
Stop manual data entry. Let Cresolv DocAI extract, validate, and deliver structured data into your ERP automatically.