What we deliver
Twara Technologies builds document processing systems that take the manual keying out of paperwork-heavy operations. Finance teams processing supplier invoices, insurers handling claims, lenders onboarding customers and logistics firms reconciling delivery notes all face the same problem: valuable data locked in documents that arrive in many formats. We design pipelines that capture those documents, understand them, check the results and pass clean data to your systems, with people reviewing exactly the cases that need judgement.
This service suits organisations where people spend significant time reading documents and re-typing what they find into other systems. It works best when the target data is well defined and someone on your side owns the process and can decide what counts as a correct result.
Typical scope
- Intake from email inboxes, upload portals, scanners, mobile apps and shared storage.
- Image clean-up: de-skewing, de-noising and page splitting.
- OCR for printed and handwritten text across English and Indian scripts.
- Document classification and separation of mixed batches.
- Field, table and line-item extraction, including multi-page tables.
- Validation against purchase orders, vendor masters, customer records and arithmetic rules.
- Review interface with side-by-side source view and keyboard-friendly correction.
- Posting to ERP, accounting, DMS or case management systems.
- Summaries and clause extraction for contracts and long documents.
Technologies we work with
- Managed document services: Amazon Textract, Azure AI Document Intelligence and Google Cloud Document AI, which offer pre-built models for common documents and custom extraction for your own layouts.
- Open-source OCR: Tesseract and PaddleOCR for self-hosted processing where data must stay on your infrastructure.
- Language and vision-language models: used to interpret complex layouts, normalise values and handle documents that vary too much for templates.
- Workflow and integration: queue-based pipelines, workflow engines and connectors or APIs for SAP, Oracle, Microsoft Dynamics, Tally and other business systems.
- Storage: object storage with lifecycle rules, and databases for extracted data and audit history.
How we choose: managed services are quickest when your documents resemble common types and data can be processed in the chosen cloud region; self-hosted pipelines suit sensitive documents or very high volumes; language models help most where layouts are unpredictable. Many solutions combine all three.
How we approach it
- Sample the reality. Collect a representative set of documents, including poor scans and unusual layouts, with the correct values for comparison.
- Define fields and rules. Agree what must be extracted, how it is validated and which errors matter most.
- Prototype extraction. Compare approaches on the sample and measure field-level results.
- Build the pipeline. Intake, processing, validation, review and integration, with logging at each step.
- Run in parallel. Process live documents alongside the current manual process and compare outputs.
- Move to production. Switch over by document type, widening straight-through processing only where results justify it.
Security, privacy and quality
- Personal data. Identity documents, bank statements and application forms carry sensitive personal data. India’s DPDP Rules, 2025, notified on 14 November 2025, build on principles including purpose limitation, data minimisation, storage limitation and security safeguards, and give individuals rights to access, correct and seek removal of their data. We design retention, masking and deletion around these requirements.
- Security controls. Encryption in transit and at rest, role-based access to documents and review screens, and secrets held in managed vaults. Web interfaces are tested against the OWASP Top 10:2025.
- LLM components. Where language models read documents, we guard against hidden instructions in the content itself, a form of the prompt injection risk described in the OWASP Top 10 for LLM Applications 2026, and validate model output before it is posted anywhere.
- Logging. Audit trails and log retention planned with India’s CERT-In directions, which require covered entities to keep ICT system logs for a rolling 180 days within Indian jurisdiction.
- Quality. Field-level evaluation on held-out samples, continuous tracking of correction rates from the review screen, and regression tests before every pipeline change.
Engagement options
- Document assessment: sample analysis, approach comparison and a business case for one document flow.
- Pilot: one document type processed end to end, run alongside your current process.
- Production rollout: additional document types, integrations and straight-through processing.
- Managed operation: monitoring, model updates and onboarding of new layouts and suppliers.
Contact us to discuss the documents your teams handle today.