Transform Unstructured Data Into Actionable JSON Intelligence
An enterprise document parsing architecture that continuously ingests unstructured invoices, PDF corporate contracts, MSME tax registers, and operational logs, converting them directly into predictable, type-safe JSON schema structures with automatic mathematical validation.
Born From Incubating Indian Venture Startups
We categorically refuse to sell unchecked software wrapper abstractions. DBERT Document AI was born out of our venture studio operations, where our technical audits required analyzing thousands of unstructured supplier invoices, bank ledger statements, and complex Indian MSME incorporation certificates across portfolio startups.
Traditional optical character recognition (OCR) systems failed whenever a vendor slightly altered an invoice border or table format, forcing engineering squads into constant regex rule patching. We designed Document AI to utilize localized vision-language models and Pydantic schema validation. It parses document meaning semantically rather than relying on strict pixel coordinate templates, eliminating breaking data parsing bugs.
Automated API Extraction Command
Submit document file URLs or Base64 binary payloads alongside your desired output parameter schema using a single REST POST request.
curl -X POST "https://api.dbert.online/v1/extract" \
-H "Authorization: Bearer YOUR_ENTERPRISE_KEY" \
-H "Content-Type: application/json" \
-d '{
"document_url": "https://secure-storage.dbert.online/client_invoices/inv_9981.pdf",
"schema_definition": {
"invoice_number": "string",
"total_tax_inr": "number",
"vendor_pan": "string_regex_[A-Z]{5}[0-9]{4}[A-Z]{1}",
"line_items": "array_of_objects"
},
"enforce_math_audit": true
}'Engineered for Document Parsing Integrity
1. Unstructured to JSON Schemas
Extract targeted key-value properties and nested tabular arrays from diverse PDF forms, invoices, and legal filings, converting them directly to strict JSON structures.
- • Autonomous document orientation & type recognition
- • Strict parameter normalizations (ISO dates & currency)
- • Multi-language visual image & scan preprocessing
2. Accuracy Verification & Audit
Configure deterministic arithmetic validation rules (such as debit/credit total balance cross-checks) to flag questionable or low-confidence OCR reads immediately.
- • Bilateral value-audit arithmetic checksum calculations
- • Automatic anomaly alerts for missing required keys
- • Granular 0-100 reliability confidence index scorecards
3. Automated Database Webhooks
Establish hardened HTTPS webhook event callbacks to deposit verified extracted operational records directly into your database relational tables or accounting suites.
- • HMAC signed authenticated HTTPS webhook payloads
- • Instant ingestion adapters for PostgreSQL & Salesforce
- • Batch extraction exports formatted as CSV or XLSX arrays
Zero-Retention Document Privacy
Enterprise finance and legal document analysis demands rigid data isolation. Our processing containers operate under strict zero-retention guidelines and cryptographic transit encryption.
Volatile Memory Sandboxing
Invoices and contracts are parsed within ephemeral RAM sandboxes. Once extracted schema values are acknowledged by your client server via webhook, temporary processing images are purged from operational buffers immediately.
Air-Gapped On-Premise Execution
For financial auditors and government compliance operations, Document AI can be instantiated wholly entirely offline within your localized Docker or Kubernetes clusters, guaranteeing zero public cloud exposure.
Supported Enterprise Ecosystem Integrations
Transparent Enterprise SaaS Licensing
Scale your enterprise document throughput with structured monthly licensing bands designed for high-volume Indian accounting teams, MSME platforms, and developer squads.
Designed for high-growth startups automating vendor invoice processing and document onboarding.
- Up to 15,000 document extractions/mo
- Pydantic schema validation rules
- Standard webhook callback architectures
Dedicated high-speed extraction processing lines with prioritized SLA and custom mathematical audit logic.
- Up to 75,000 document extractions/mo
- Custom business rules & tax math validation
- 24/7 priority integration troubleshooting
Deploy self-contained offline Docker extraction bundles within localized high-security data centers.
- Air-gapped zero-internet runtime operation
- Unlimited on-premise extraction volume
- Dedicated architectural maintenance squad
Frequently Asked Questions
Our parsing engine ingests complex unstructured PDF reports, scanned multi-page invoices, MSME audit sheets, structured CSV logs, and raw optical image captures (PNG/JPG). It handles rotating alignments, low-resolution scans, and multi-column document layouts without needing fragile OCR template rules.
The pipeline incorporates bilateral semantic checking algorithms that mathematically audit extracted financial quantities against supporting table sub-calculations (e.g., verifying invoice subtotal + tax = total billable balance). Any value inconsistency triggers an automatic human-in-the-loop audit flag.
Yes. Upon successful schema extraction, our event dispatcher triggers authenticated HTTP webhook payloads to write formatted records directly into PostgreSQL tables, Salesforce Salesforce CRM records, SAP financial ledgers, or custom internal enterprise cloud REST endpoints.
Never. Document payloads are processed entirely inside volatile RAM sandbox workers within secure cloud or on-premise container environments. Once extracted JSON strings are confirmed delivered via webhook, source files and temporary buffer scans are irrevocably purged.
Standard single-page invoices and financial tabular sheets complete extraction and schema validation within 800ms to 1.5 seconds. Multi-page legal contractual dossiers complete within 3 to 5 seconds depending on OCR preprocessing resolution.
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Deployed privately to your AWS/GCP VPC. Pricing scales with token volume and active users. Fill out the form below to request a tailored quote and live demo.