Cogneris

Cogneris turns PDFs, scans, and images into validated JSON you can defend in an audit. Key features: • Typed fields with per-field confidence scores and page citations • Validation rules that catch errors before data moves downstream • Review queues for human sign-off on low-confidence fields • Webhooks for pushing results into your existing systems • A full audit trail covering every extraction and change • REST API, SDKs, and MCP server support Most document pipelines stop at raw text, leaving engineering teams to write brittle parsers and manually check results. Cogneris returns structured, schema-conformant JSON instead, and every value links back to the exact page and region it came from. Confidence scores show where a field is certain and where it needs review, so your team spends time only on the exceptions. Validation rules enforce totals, date formats, required fields, and cross-field logic, so bad data is flagged at the point of extraction rather than discovered later in a reconciliation. The platform handles the messy reality of real documents, including scanned statements, photographed receipts, multi-page contracts, and mixed-quality PDFs. Review queues route flagged items to the right person, and the audit trail records who changed what and when, which simplifies compliance reviews and internal controls. Integration is straightforward: use the REST API or an SDK to submit documents, then receive results through webhooks or poll for status. Teams using MCP can connect directly from developer tools and agent environments. Built for fintech engineers, accounting firms, insurance operations teams, and compliance departments that need extraction they can explain to auditors. It suits onboarding KYC files, processing invoices and bank statements, and digitizing claims or payroll forms. Start with 400 free credits and no credit card required.