We apply modern AI and schema-first design to extract structured data from even the most complex, high-variance documents. Organizations use our APIs to move data out of PDFs, forms, and reports into underwriting, claims, and financial systems—faster and more reliably than template-based approaches. Our platform understands layouts, entities, and tables across scanned PDFs, multi-layout forms, contracts, loss runs, and financial statements. Instead of fragile regex or training on endless examples, teams configure their target schema once and get consistently structured outputs every time. Insurance carriers, brokers, and financial institutions rely on our APIs to streamline data intake and compliance workflows. Whether it’s a claims form, loss run, ACORD, or a complex financial statement, we turn cluttered documents into clean JSON or Excel that integrates seamlessly with internal systems. Upload any document, define the schema your systems expect, and deploy extraction pipelines that scale with enterprise demands—complete with monitoring, version control, and feedback loops for continuous accuracy improvements.
| Website | https://www.useparsie.com |
| Employees | 1 (1 on RocketReach) |
| Industry | Software Development |
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Alice le is the Co-Founder of Inboxparser.
1 people are employed at Inboxparser.